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@@ -3,10 +3,10 @@ updates:
|
||||
- package-ecosystem: pip
|
||||
directory: '/backend'
|
||||
schedule:
|
||||
interval: weekly
|
||||
interval: monthly
|
||||
target-branch: 'dev'
|
||||
- package-ecosystem: 'github-actions'
|
||||
directory: '/'
|
||||
schedule:
|
||||
# Check for updates to GitHub Actions every week
|
||||
interval: 'weekly'
|
||||
interval: monthly
|
||||
|
||||
@@ -10,61 +10,63 @@ jobs:
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Check for changes in package.json
|
||||
run: |
|
||||
git diff --cached --diff-filter=d package.json || {
|
||||
echo "No changes to package.json"
|
||||
exit 1
|
||||
}
|
||||
|
||||
- name: Get version number from package.json
|
||||
id: get_version
|
||||
run: |
|
||||
VERSION=$(jq -r '.version' package.json)
|
||||
echo "::set-output name=version::$VERSION"
|
||||
- name: Check for changes in package.json
|
||||
run: |
|
||||
git diff --cached --diff-filter=d package.json || {
|
||||
echo "No changes to package.json"
|
||||
exit 1
|
||||
}
|
||||
|
||||
- name: Extract latest CHANGELOG entry
|
||||
id: changelog
|
||||
run: |
|
||||
CHANGELOG_CONTENT=$(awk 'BEGIN {print_section=0;} /^## \[/ {if (print_section == 0) {print_section=1;} else {exit;}} print_section {print;}' CHANGELOG.md)
|
||||
CHANGELOG_ESCAPED=$(echo "$CHANGELOG_CONTENT" | sed ':a;N;$!ba;s/\n/%0A/g')
|
||||
echo "Extracted latest release notes from CHANGELOG.md:"
|
||||
echo -e "$CHANGELOG_CONTENT"
|
||||
echo "::set-output name=content::$CHANGELOG_ESCAPED"
|
||||
- name: Get version number from package.json
|
||||
id: get_version
|
||||
run: |
|
||||
VERSION=$(jq -r '.version' package.json)
|
||||
echo "::set-output name=version::$VERSION"
|
||||
|
||||
- name: Create GitHub release
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
script: |
|
||||
const changelog = `${{ steps.changelog.outputs.content }}`;
|
||||
const release = await github.rest.repos.createRelease({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
tag_name: `v${{ steps.get_version.outputs.version }}`,
|
||||
name: `v${{ steps.get_version.outputs.version }}`,
|
||||
body: changelog,
|
||||
})
|
||||
console.log(`Created release ${release.data.html_url}`)
|
||||
- name: Extract latest CHANGELOG entry
|
||||
id: changelog
|
||||
run: |
|
||||
CHANGELOG_CONTENT=$(awk 'BEGIN {print_section=0;} /^## \[/ {if (print_section == 0) {print_section=1;} else {exit;}} print_section {print;}' CHANGELOG.md)
|
||||
CHANGELOG_ESCAPED=$(echo "$CHANGELOG_CONTENT" | sed ':a;N;$!ba;s/\n/%0A/g')
|
||||
echo "Extracted latest release notes from CHANGELOG.md:"
|
||||
echo -e "$CHANGELOG_CONTENT"
|
||||
echo "::set-output name=content::$CHANGELOG_ESCAPED"
|
||||
|
||||
- name: Upload package to GitHub release
|
||||
uses: actions/upload-artifact@v4
|
||||
with:
|
||||
name: package
|
||||
path: .
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Create GitHub release
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
script: |
|
||||
const changelog = `${{ steps.changelog.outputs.content }}`;
|
||||
const release = await github.rest.repos.createRelease({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
tag_name: `v${{ steps.get_version.outputs.version }}`,
|
||||
name: `v${{ steps.get_version.outputs.version }}`,
|
||||
body: changelog,
|
||||
})
|
||||
console.log(`Created release ${release.data.html_url}`)
|
||||
|
||||
- name: Trigger Docker build workflow
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
script: |
|
||||
github.rest.actions.createWorkflowDispatch({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
workflow_id: 'docker-build.yaml',
|
||||
ref: 'v${{ steps.get_version.outputs.version }}',
|
||||
})
|
||||
- name: Upload package to GitHub release
|
||||
uses: actions/upload-artifact@v4
|
||||
with:
|
||||
name: package
|
||||
path: |
|
||||
.
|
||||
!.git
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
- name: Trigger Docker build workflow
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
script: |
|
||||
github.rest.actions.createWorkflowDispatch({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
workflow_id: 'docker-build.yaml',
|
||||
ref: 'v${{ steps.get_version.outputs.version }}',
|
||||
})
|
||||
|
||||
@@ -56,19 +56,25 @@ jobs:
|
||||
username: ${{ github.actor }}
|
||||
password: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
- name: Extract metadata for Docker images (default latest tag)
|
||||
- name: Get version number from package.json
|
||||
id: get_version
|
||||
run: |
|
||||
VERSION=$(jq -r '.version' package.json)
|
||||
echo "version=$VERSION" >> $GITHUB_OUTPUT
|
||||
|
||||
- name: Extract metadata for Docker images
|
||||
id: meta
|
||||
uses: docker/metadata-action@v5
|
||||
with:
|
||||
images: ${{ env.FULL_IMAGE_NAME }}
|
||||
tags: |
|
||||
type=raw,value=latest,enable=${{ github.ref == 'refs/heads/main' }}
|
||||
type=raw,value=${{ steps.get_version.outputs.version }},enable=${{ github.ref == 'refs/heads/main' }}
|
||||
type=ref,event=branch
|
||||
type=ref,event=tag
|
||||
type=sha,prefix=git-
|
||||
type=semver,pattern={{version}}
|
||||
type=semver,pattern={{major}}.{{minor}}
|
||||
flavor: |
|
||||
latest=${{ github.ref == 'refs/heads/main' }}
|
||||
|
||||
- name: Extract metadata for Docker cache
|
||||
id: cache-meta
|
||||
@@ -82,7 +88,7 @@ jobs:
|
||||
prefix=cache-${{ matrix.platform }}-
|
||||
latest=false
|
||||
|
||||
- name: Build Docker image (latest)
|
||||
- name: Build Docker image
|
||||
uses: docker/build-push-action@v5
|
||||
id: build
|
||||
with:
|
||||
@@ -90,7 +96,8 @@ jobs:
|
||||
push: true
|
||||
platforms: ${{ matrix.platform }}
|
||||
labels: ${{ steps.meta.outputs.labels }}
|
||||
outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
|
||||
tags: ${{ steps.meta.outputs.tags }}
|
||||
outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push=true
|
||||
cache-from: type=registry,ref=${{ steps.cache-meta.outputs.tags }}
|
||||
cache-to: type=registry,ref=${{ steps.cache-meta.outputs.tags }},mode=max
|
||||
build-args: |
|
||||
@@ -153,21 +160,25 @@ jobs:
|
||||
username: ${{ github.actor }}
|
||||
password: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
- name: Extract metadata for Docker images (cuda tag)
|
||||
- name: Get version number from package.json
|
||||
id: get_version
|
||||
run: |
|
||||
VERSION=$(jq -r '.version' package.json)
|
||||
echo "version=$VERSION" >> $GITHUB_OUTPUT
|
||||
|
||||
- name: Extract metadata for Docker images
|
||||
id: meta
|
||||
uses: docker/metadata-action@v5
|
||||
with:
|
||||
images: ${{ env.FULL_IMAGE_NAME }}
|
||||
tags: |
|
||||
type=ref,event=branch
|
||||
type=ref,event=tag
|
||||
type=sha,prefix=git-
|
||||
type=semver,pattern={{version}}
|
||||
type=semver,pattern={{major}}.{{minor}}
|
||||
type=raw,enable=${{ github.ref == 'refs/heads/main' }},prefix=,suffix=,value=cuda
|
||||
flavor: |
|
||||
latest=${{ github.ref == 'refs/heads/main' }}
|
||||
suffix=-cuda,onlatest=true
|
||||
type=raw,value=latest-cuda,enable=${{ github.ref == 'refs/heads/main' }}
|
||||
type=raw,value=${{ steps.get_version.outputs.version }}-cuda,enable=${{ github.ref == 'refs/heads/main' }}
|
||||
type=ref,event=branch,suffix=-cuda
|
||||
type=ref,event=tag,suffix=-cuda
|
||||
type=sha,prefix=git-,suffix=-cuda
|
||||
type=semver,pattern={{version}},suffix=-cuda
|
||||
type=semver,pattern={{major}}.{{minor}},suffix=-cuda
|
||||
|
||||
- name: Extract metadata for Docker cache
|
||||
id: cache-meta
|
||||
@@ -189,7 +200,8 @@ jobs:
|
||||
push: true
|
||||
platforms: ${{ matrix.platform }}
|
||||
labels: ${{ steps.meta.outputs.labels }}
|
||||
outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
|
||||
tags: ${{ steps.meta.outputs.tags }}
|
||||
outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push=true
|
||||
cache-from: type=registry,ref=${{ steps.cache-meta.outputs.tags }}
|
||||
cache-to: type=registry,ref=${{ steps.cache-meta.outputs.tags }},mode=max
|
||||
build-args: |
|
||||
@@ -253,21 +265,25 @@ jobs:
|
||||
username: ${{ github.actor }}
|
||||
password: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
- name: Extract metadata for Docker images (ollama tag)
|
||||
- name: Get version number from package.json
|
||||
id: get_version
|
||||
run: |
|
||||
VERSION=$(jq -r '.version' package.json)
|
||||
echo "version=$VERSION" >> $GITHUB_OUTPUT
|
||||
|
||||
- name: Extract metadata for Docker images
|
||||
id: meta
|
||||
uses: docker/metadata-action@v5
|
||||
with:
|
||||
images: ${{ env.FULL_IMAGE_NAME }}
|
||||
tags: |
|
||||
type=ref,event=branch
|
||||
type=ref,event=tag
|
||||
type=sha,prefix=git-
|
||||
type=semver,pattern={{version}}
|
||||
type=semver,pattern={{major}}.{{minor}}
|
||||
type=raw,enable=${{ github.ref == 'refs/heads/main' }},prefix=,suffix=,value=ollama
|
||||
flavor: |
|
||||
latest=${{ github.ref == 'refs/heads/main' }}
|
||||
suffix=-ollama,onlatest=true
|
||||
type=raw,value=latest-ollama,enable=${{ github.ref == 'refs/heads/main' }}
|
||||
type=raw,value=${{ steps.get_version.outputs.version }}-ollama,enable=${{ github.ref == 'refs/heads/main' }}
|
||||
type=ref,event=branch,suffix=-ollama
|
||||
type=ref,event=tag,suffix=-ollama
|
||||
type=sha,prefix=git-,suffix=-ollama
|
||||
type=semver,pattern={{version}},suffix=-ollama
|
||||
type=semver,pattern={{major}}.{{minor}},suffix=-ollama
|
||||
|
||||
- name: Extract metadata for Docker cache
|
||||
id: cache-meta
|
||||
@@ -289,7 +305,8 @@ jobs:
|
||||
push: true
|
||||
platforms: ${{ matrix.platform }}
|
||||
labels: ${{ steps.meta.outputs.labels }}
|
||||
outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
|
||||
tags: ${{ steps.meta.outputs.tags }}
|
||||
outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push=true
|
||||
cache-from: type=registry,ref=${{ steps.cache-meta.outputs.tags }}
|
||||
cache-to: type=registry,ref=${{ steps.cache-meta.outputs.tags }},mode=max
|
||||
build-args: |
|
||||
@@ -309,7 +326,6 @@ jobs:
|
||||
path: /tmp/digests/*
|
||||
if-no-files-found: error
|
||||
retention-days: 1
|
||||
|
||||
merge-main-images:
|
||||
runs-on: ubuntu-latest
|
||||
needs: [ build-main-image ]
|
||||
|
||||
@@ -15,6 +15,13 @@ jobs:
|
||||
name: Run Cypress Integration Tests
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Maximize build space
|
||||
uses: AdityaGarg8/remove-unwanted-software@v4.1
|
||||
with:
|
||||
remove-android: 'true'
|
||||
remove-haskell: 'true'
|
||||
remove-codeql: 'true'
|
||||
|
||||
- name: Checkout Repository
|
||||
uses: actions/checkout@v4
|
||||
|
||||
|
||||
@@ -5,6 +5,103 @@ All notable changes to this project will be documented in this file.
|
||||
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
|
||||
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
|
||||
|
||||
## [0.3.16] - 2024-08-27
|
||||
|
||||
### Added
|
||||
|
||||
- **🚀 Config DB Migration**: Migrated configuration handling from config.json to the database, enabling high-availability setups and load balancing across multiple Open WebUI instances.
|
||||
- **🔗 Call Mode Activation via URL**: Added a 'call=true' URL search parameter enabling direct shortcuts to activate call mode, enhancing user interaction on mobile devices.
|
||||
- **✨ TTS Content Control**: Added functionality to control how message content is segmented for Text-to-Speech (TTS) generation requests, allowing for more flexible speech output options.
|
||||
- **😄 Show Knowledge Search Status**: Enhanced model usage transparency by displaying status when working with knowledge-augmented models, helping users understand the system's state during queries.
|
||||
- **👆 Click-to-Copy for Codespan**: Enhanced interactive experience in the WebUI by allowing users to click to copy content from code spans directly.
|
||||
- **🚫 API User Blocking via Model Filter**: Introduced the ability to block API users based on customized model filters, enhancing security and control over API access.
|
||||
- **🎬 Call Overlay Styling**: Adjusted call overlay styling on large screens to not cover the entire interface, but only the chat control area, for a more unobtrusive interaction experience.
|
||||
|
||||
### Fixed
|
||||
|
||||
- **🔧 LaTeX Rendering Issue**: Addressed an issue that affected the correct rendering of LaTeX.
|
||||
- **📁 File Leak Prevention**: Resolved the issue of uploaded files mistakenly being accessible across user chats.
|
||||
- **🔧 Pipe Functions with '**files**' Param**: Fixed issues with '**files**' parameter not functioning correctly in pipe functions.
|
||||
- **📝 Markdown Processing for RAG**: Fixed issues with processing Markdown in files.
|
||||
- **🚫 Duplicate System Prompts**: Fixed bugs causing system prompts to duplicate.
|
||||
|
||||
### Changed
|
||||
|
||||
- **🔋 Wakelock Permission**: Optimized the activation of wakelock to only engage during call mode, conserving device resources and improving battery performance during idle periods.
|
||||
- **🔍 Content-Type for Ollama Chats**: Added 'application/x-ndjson' content-type to '/api/chat' endpoint responses to match raw Ollama responses.
|
||||
- **✋ Disable Signups Conditionally**: Implemented conditional logic to disable sign-ups when 'ENABLE_LOGIN_FORM' is set to false.
|
||||
|
||||
## [0.3.15] - 2024-08-21
|
||||
|
||||
### Added
|
||||
|
||||
- **🔗 Temporary Chat Activation**: Integrated a new URL parameter 'temporary-chat=true' to enable temporary chat sessions directly through the URL.
|
||||
- **🌄 ComfyUI Seed Node Support**: Introduced seed node support in ComfyUI for image generation, allowing users to specify node IDs for randomized seed assignment.
|
||||
|
||||
### Fixed
|
||||
|
||||
- **🛠️ Tools and Functions**: Resolved a critical issue where Tools and Functions were not properly functioning, restoring full capability and reliability to these essential features.
|
||||
- **🔘 Chat Action Button in Many Model Chat**: Fixed the malfunctioning of chat action buttons in many model chat environments, ensuring a smoother and more responsive user interaction.
|
||||
- **⏪ Many Model Chat Compatibility**: Restored backward compatibility for many model chats.
|
||||
|
||||
## [0.3.14] - 2024-08-21
|
||||
|
||||
### Added
|
||||
|
||||
- **🛠️ Custom ComfyUI Workflow**: Deprecating several older environment variables, this enhancement introduces a new, customizable workflow for a more tailored user experience.
|
||||
- **🔀 Merge Responses in Many Model Chat**: Enhances the dialogue by merging responses from multiple models into a single, coherent reply, improving the interaction quality in many model chats.
|
||||
- **✅ Multiple Instances of Same Model in Chats**: Enhanced many model chat to support adding multiple instances of the same model.
|
||||
- **🔧 Quick Actions in Model Workspace**: Enhanced Shift key quick actions for hiding/unhiding and deleting models, facilitating a smoother workflow.
|
||||
- **🗨️ Markdown Rendering in User Messages**: User messages are now rendered in Markdown, enhancing readability and interaction.
|
||||
- **💬 Temporary Chat Feature**: Introduced a temporary chat feature, deprecating the old chat history setting to enhance user interaction flexibility.
|
||||
- **🖋️ User Message Editing**: Enhanced the user chat editing feature to allow saving changes without sending, providing more flexibility in message management.
|
||||
- **🛡️ Security Enhancements**: Various security improvements implemented across the platform to ensure safer user experiences.
|
||||
- **🌍 Updated Translations**: Enhanced translations for Chinese, Ukrainian, and Bahasa Malaysia, improving localization and user comprehension.
|
||||
|
||||
### Fixed
|
||||
|
||||
- **📑 Mermaid Rendering Issue**: Addressed issues with Mermaid chart rendering to ensure clean and clear visual data representation.
|
||||
- **🎭 PWA Icon Maskability**: Fixed the Progressive Web App icon to be maskable, ensuring proper display on various device home screens.
|
||||
- **🔀 Cloned Model Chat Freezing Issue**: Fixed a bug where cloning many model chats would cause freezing, enhancing stability and responsiveness.
|
||||
- **🔍 Generic Error Handling and Refinements**: Various minor fixes and refinements to address previously untracked issues, ensuring smoother operations.
|
||||
|
||||
### Changed
|
||||
|
||||
- **🖼️ Image Generation Refactor**: Overhauled image generation processes for improved efficiency and quality.
|
||||
- **🔨 Refactor Tool and Function Calling**: Refactored tool and function calling mechanisms for improved clarity and maintainability.
|
||||
- **🌐 Backend Library Updates**: Updated critical backend libraries including SQLAlchemy, uvicorn[standard], faster-whisper, bcrypt, and boto3 for enhanced performance and security.
|
||||
|
||||
### Removed
|
||||
|
||||
- **🚫 Deprecated ComfyUI Environment Variables**: Removed several outdated environment variables related to ComfyUI settings, simplifying configuration management.
|
||||
|
||||
## [0.3.13] - 2024-08-14
|
||||
|
||||
### Added
|
||||
|
||||
- **🎨 Enhanced Markdown Rendering**: Significant improvements in rendering markdown, ensuring smooth and reliable display of LaTeX and Mermaid charts, enhancing user experience with more robust visual content.
|
||||
- **🔄 Auto-Install Tools & Functions Python Dependencies**: For 'Tools' and 'Functions', Open WebUI now automatically install extra python requirements specified in the frontmatter, streamlining setup processes and customization.
|
||||
- **🌀 OAuth Email Claim Customization**: Introduced an 'OAUTH_EMAIL_CLAIM' variable to allow customization of the default "email" claim within OAuth configurations, providing greater flexibility in authentication processes.
|
||||
- **📶 Websocket Reconnection**: Enhanced reliability with the capability to automatically reconnect when a websocket is closed, ensuring consistent and stable communication.
|
||||
- **🤳 Haptic Feedback on Support Devices**: Android devices now support haptic feedback for an immersive tactile experience during certain interactions.
|
||||
|
||||
### Fixed
|
||||
|
||||
- **🛠️ ComfyUI Performance Improvement**: Addressed an issue causing FastAPI to stall when ComfyUI image generation was active; now runs in a separate thread to prevent UI unresponsiveness.
|
||||
- **🔀 Session Handling**: Fixed an issue mandating session_id on client-side to ensure smoother session management and transitions.
|
||||
- **🖋️ Minor Bug Fixes and Format Corrections**: Various minor fixes including typo corrections, backend formatting improvements, and test amendments enhancing overall system stability and performance.
|
||||
|
||||
### Changed
|
||||
|
||||
- **🚀 Migration to SvelteKit 2**: Upgraded the underlying framework to SvelteKit version 2, offering enhanced speed, better code structure, and improved deployment capabilities.
|
||||
- **🧹 General Cleanup and Refactoring**: Performed broad cleanup and refactoring across the platform, improving code efficiency and maintaining high standards of code health.
|
||||
- **🚧 Integration Testing Improvements**: Modified how Cypress integration tests detect chat messages and updated sharing tests for better reliability and accuracy.
|
||||
- **📁 Standardized '.safetensors' File Extension**: Renamed the '.sft' file extension to '.safetensors' for ComfyUI workflows, standardizing file formats across the platform.
|
||||
|
||||
### Removed
|
||||
|
||||
- **🗑️ Deprecated Frontend Functions**: Removed frontend functions that were migrated to backend to declutter the codebase and reduce redundancy.
|
||||
|
||||
## [0.3.12] - 2024-08-07
|
||||
|
||||
### Added
|
||||
|
||||
+81
-55
@@ -1,5 +1,12 @@
|
||||
import os
|
||||
import hashlib
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
import uuid
|
||||
from functools import lru_cache
|
||||
from pathlib import Path
|
||||
|
||||
import requests
|
||||
from fastapi import (
|
||||
FastAPI,
|
||||
Request,
|
||||
@@ -8,34 +15,14 @@ from fastapi import (
|
||||
status,
|
||||
UploadFile,
|
||||
File,
|
||||
Form,
|
||||
)
|
||||
from fastapi.responses import StreamingResponse, JSONResponse, FileResponse
|
||||
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import FileResponse
|
||||
from pydantic import BaseModel
|
||||
|
||||
from typing import List
|
||||
import uuid
|
||||
import requests
|
||||
import hashlib
|
||||
from pathlib import Path
|
||||
import json
|
||||
|
||||
from constants import ERROR_MESSAGES
|
||||
from utils.utils import (
|
||||
decode_token,
|
||||
get_current_user,
|
||||
get_verified_user,
|
||||
get_admin_user,
|
||||
)
|
||||
from utils.misc import calculate_sha256
|
||||
|
||||
|
||||
from config import (
|
||||
SRC_LOG_LEVELS,
|
||||
CACHE_DIR,
|
||||
UPLOAD_DIR,
|
||||
WHISPER_MODEL,
|
||||
WHISPER_MODEL_DIR,
|
||||
WHISPER_MODEL_AUTO_UPDATE,
|
||||
@@ -50,7 +37,15 @@ from config import (
|
||||
AUDIO_TTS_ENGINE,
|
||||
AUDIO_TTS_MODEL,
|
||||
AUDIO_TTS_VOICE,
|
||||
AUDIO_TTS_SPLIT_ON,
|
||||
AppConfig,
|
||||
CORS_ALLOW_ORIGIN,
|
||||
)
|
||||
from constants import ERROR_MESSAGES
|
||||
from utils.utils import (
|
||||
get_current_user,
|
||||
get_verified_user,
|
||||
get_admin_user,
|
||||
)
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
@@ -59,7 +54,7 @@ log.setLevel(SRC_LOG_LEVELS["AUDIO"])
|
||||
app = FastAPI()
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"],
|
||||
allow_origins=CORS_ALLOW_ORIGIN,
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
@@ -78,6 +73,7 @@ app.state.config.TTS_ENGINE = AUDIO_TTS_ENGINE
|
||||
app.state.config.TTS_MODEL = AUDIO_TTS_MODEL
|
||||
app.state.config.TTS_VOICE = AUDIO_TTS_VOICE
|
||||
app.state.config.TTS_API_KEY = AUDIO_TTS_API_KEY
|
||||
app.state.config.TTS_SPLIT_ON = AUDIO_TTS_SPLIT_ON
|
||||
|
||||
# setting device type for whisper model
|
||||
whisper_device_type = DEVICE_TYPE if DEVICE_TYPE and DEVICE_TYPE == "cuda" else "cpu"
|
||||
@@ -94,6 +90,7 @@ class TTSConfigForm(BaseModel):
|
||||
ENGINE: str
|
||||
MODEL: str
|
||||
VOICE: str
|
||||
SPLIT_ON: str
|
||||
|
||||
|
||||
class STTConfigForm(BaseModel):
|
||||
@@ -145,6 +142,7 @@ async def get_audio_config(user=Depends(get_admin_user)):
|
||||
"ENGINE": app.state.config.TTS_ENGINE,
|
||||
"MODEL": app.state.config.TTS_MODEL,
|
||||
"VOICE": app.state.config.TTS_VOICE,
|
||||
"SPLIT_ON": app.state.config.TTS_SPLIT_ON,
|
||||
},
|
||||
"stt": {
|
||||
"OPENAI_API_BASE_URL": app.state.config.STT_OPENAI_API_BASE_URL,
|
||||
@@ -165,6 +163,7 @@ async def update_audio_config(
|
||||
app.state.config.TTS_ENGINE = form_data.tts.ENGINE
|
||||
app.state.config.TTS_MODEL = form_data.tts.MODEL
|
||||
app.state.config.TTS_VOICE = form_data.tts.VOICE
|
||||
app.state.config.TTS_SPLIT_ON = form_data.tts.SPLIT_ON
|
||||
|
||||
app.state.config.STT_OPENAI_API_BASE_URL = form_data.stt.OPENAI_API_BASE_URL
|
||||
app.state.config.STT_OPENAI_API_KEY = form_data.stt.OPENAI_API_KEY
|
||||
@@ -179,6 +178,7 @@ async def update_audio_config(
|
||||
"ENGINE": app.state.config.TTS_ENGINE,
|
||||
"MODEL": app.state.config.TTS_MODEL,
|
||||
"VOICE": app.state.config.TTS_VOICE,
|
||||
"SPLIT_ON": app.state.config.TTS_SPLIT_ON,
|
||||
},
|
||||
"stt": {
|
||||
"OPENAI_API_BASE_URL": app.state.config.STT_OPENAI_API_BASE_URL,
|
||||
@@ -244,7 +244,7 @@ async def speech(request: Request, user=Depends(get_verified_user)):
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"External: {res['error']['message']}"
|
||||
except:
|
||||
except Exception:
|
||||
error_detail = f"External: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
@@ -261,6 +261,13 @@ async def speech(request: Request, user=Depends(get_verified_user)):
|
||||
raise HTTPException(status_code=400, detail="Invalid JSON payload")
|
||||
|
||||
voice_id = payload.get("voice", "")
|
||||
|
||||
if voice_id not in get_available_voices():
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail="Invalid voice id",
|
||||
)
|
||||
|
||||
url = f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}"
|
||||
|
||||
headers = {
|
||||
@@ -299,7 +306,7 @@ async def speech(request: Request, user=Depends(get_verified_user)):
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"External: {res['error']['message']}"
|
||||
except:
|
||||
except Exception:
|
||||
error_detail = f"External: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
@@ -353,7 +360,7 @@ def transcribe(
|
||||
|
||||
try:
|
||||
model = WhisperModel(**whisper_kwargs)
|
||||
except:
|
||||
except Exception:
|
||||
log.warning(
|
||||
"WhisperModel initialization failed, attempting download with local_files_only=False"
|
||||
)
|
||||
@@ -421,7 +428,7 @@ def transcribe(
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"External: {res['error']['message']}"
|
||||
except:
|
||||
except Exception:
|
||||
error_detail = f"External: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
@@ -438,7 +445,7 @@ def transcribe(
|
||||
)
|
||||
|
||||
|
||||
def get_available_models() -> List[dict]:
|
||||
def get_available_models() -> list[dict]:
|
||||
if app.state.config.TTS_ENGINE == "openai":
|
||||
return [{"id": "tts-1"}, {"id": "tts-1-hd"}]
|
||||
elif app.state.config.TTS_ENGINE == "elevenlabs":
|
||||
@@ -466,39 +473,58 @@ async def get_models(user=Depends(get_verified_user)):
|
||||
return {"models": get_available_models()}
|
||||
|
||||
|
||||
def get_available_voices() -> List[dict]:
|
||||
def get_available_voices() -> dict:
|
||||
"""Returns {voice_id: voice_name} dict"""
|
||||
ret = {}
|
||||
if app.state.config.TTS_ENGINE == "openai":
|
||||
return [
|
||||
{"name": "alloy", "id": "alloy"},
|
||||
{"name": "echo", "id": "echo"},
|
||||
{"name": "fable", "id": "fable"},
|
||||
{"name": "onyx", "id": "onyx"},
|
||||
{"name": "nova", "id": "nova"},
|
||||
{"name": "shimmer", "id": "shimmer"},
|
||||
]
|
||||
elif app.state.config.TTS_ENGINE == "elevenlabs":
|
||||
headers = {
|
||||
"xi-api-key": app.state.config.TTS_API_KEY,
|
||||
"Content-Type": "application/json",
|
||||
ret = {
|
||||
"alloy": "alloy",
|
||||
"echo": "echo",
|
||||
"fable": "fable",
|
||||
"onyx": "onyx",
|
||||
"nova": "nova",
|
||||
"shimmer": "shimmer",
|
||||
}
|
||||
|
||||
elif app.state.config.TTS_ENGINE == "elevenlabs":
|
||||
try:
|
||||
response = requests.get(
|
||||
"https://api.elevenlabs.io/v1/voices", headers=headers
|
||||
)
|
||||
response.raise_for_status()
|
||||
voices_data = response.json()
|
||||
ret = get_elevenlabs_voices()
|
||||
except Exception as e:
|
||||
# Avoided @lru_cache with exception
|
||||
pass
|
||||
|
||||
voices = []
|
||||
for voice in voices_data.get("voices", []):
|
||||
voices.append({"name": voice["name"], "id": voice["voice_id"]})
|
||||
return voices
|
||||
except requests.RequestException as e:
|
||||
log.error(f"Error fetching voices: {str(e)}")
|
||||
return ret
|
||||
|
||||
return []
|
||||
|
||||
@lru_cache
|
||||
def get_elevenlabs_voices() -> dict:
|
||||
"""
|
||||
Note, set the following in your .env file to use Elevenlabs:
|
||||
AUDIO_TTS_ENGINE=elevenlabs
|
||||
AUDIO_TTS_API_KEY=sk_... # Your Elevenlabs API key
|
||||
AUDIO_TTS_VOICE=EXAVITQu4vr4xnSDxMaL # From https://api.elevenlabs.io/v1/voices
|
||||
AUDIO_TTS_MODEL=eleven_multilingual_v2
|
||||
"""
|
||||
headers = {
|
||||
"xi-api-key": app.state.config.TTS_API_KEY,
|
||||
"Content-Type": "application/json",
|
||||
}
|
||||
try:
|
||||
# TODO: Add retries
|
||||
response = requests.get("https://api.elevenlabs.io/v1/voices", headers=headers)
|
||||
response.raise_for_status()
|
||||
voices_data = response.json()
|
||||
|
||||
voices = {}
|
||||
for voice in voices_data.get("voices", []):
|
||||
voices[voice["voice_id"]] = voice["name"]
|
||||
except requests.RequestException as e:
|
||||
# Avoid @lru_cache with exception
|
||||
log.error(f"Error fetching voices: {str(e)}")
|
||||
raise RuntimeError(f"Error fetching voices: {str(e)}")
|
||||
|
||||
return voices
|
||||
|
||||
|
||||
@app.get("/voices")
|
||||
async def get_voices(user=Depends(get_verified_user)):
|
||||
return {"voices": get_available_voices()}
|
||||
return {"voices": [{"id": k, "name": v} for k, v in get_available_voices().items()]}
|
||||
|
||||
+248
-266
@@ -1,26 +1,10 @@
|
||||
import re
|
||||
import requests
|
||||
import base64
|
||||
from fastapi import (
|
||||
FastAPI,
|
||||
Request,
|
||||
Depends,
|
||||
HTTPException,
|
||||
status,
|
||||
UploadFile,
|
||||
File,
|
||||
Form,
|
||||
)
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
|
||||
from constants import ERROR_MESSAGES
|
||||
from utils.utils import (
|
||||
get_verified_user,
|
||||
get_admin_user,
|
||||
)
|
||||
|
||||
from apps.images.utils.comfyui import ImageGenerationPayload, comfyui_generate_image
|
||||
from utils.misc import calculate_sha256
|
||||
from typing import Optional
|
||||
from pydantic import BaseModel
|
||||
from pathlib import Path
|
||||
@@ -29,7 +13,22 @@ import uuid
|
||||
import base64
|
||||
import json
|
||||
import logging
|
||||
import re
|
||||
import requests
|
||||
import asyncio
|
||||
|
||||
from utils.utils import (
|
||||
get_verified_user,
|
||||
get_admin_user,
|
||||
)
|
||||
|
||||
from apps.images.utils.comfyui import (
|
||||
ComfyUIWorkflow,
|
||||
ComfyUIGenerateImageForm,
|
||||
comfyui_generate_image,
|
||||
)
|
||||
|
||||
from constants import ERROR_MESSAGES
|
||||
from config import (
|
||||
SRC_LOG_LEVELS,
|
||||
CACHE_DIR,
|
||||
@@ -38,18 +37,14 @@ from config import (
|
||||
AUTOMATIC1111_BASE_URL,
|
||||
AUTOMATIC1111_API_AUTH,
|
||||
COMFYUI_BASE_URL,
|
||||
COMFYUI_CFG_SCALE,
|
||||
COMFYUI_SAMPLER,
|
||||
COMFYUI_SCHEDULER,
|
||||
COMFYUI_SD3,
|
||||
COMFYUI_FLUX,
|
||||
COMFYUI_FLUX_WEIGHT_DTYPE,
|
||||
COMFYUI_FLUX_FP8_CLIP,
|
||||
COMFYUI_WORKFLOW,
|
||||
COMFYUI_WORKFLOW_NODES,
|
||||
IMAGES_OPENAI_API_BASE_URL,
|
||||
IMAGES_OPENAI_API_KEY,
|
||||
IMAGE_GENERATION_MODEL,
|
||||
IMAGE_SIZE,
|
||||
IMAGE_STEPS,
|
||||
CORS_ALLOW_ORIGIN,
|
||||
AppConfig,
|
||||
)
|
||||
|
||||
@@ -62,7 +57,7 @@ IMAGE_CACHE_DIR.mkdir(parents=True, exist_ok=True)
|
||||
app = FastAPI()
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"],
|
||||
allow_origins=CORS_ALLOW_ORIGIN,
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
@@ -81,20 +76,98 @@ app.state.config.MODEL = IMAGE_GENERATION_MODEL
|
||||
app.state.config.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
|
||||
app.state.config.AUTOMATIC1111_API_AUTH = AUTOMATIC1111_API_AUTH
|
||||
app.state.config.COMFYUI_BASE_URL = COMFYUI_BASE_URL
|
||||
app.state.config.COMFYUI_WORKFLOW = COMFYUI_WORKFLOW
|
||||
app.state.config.COMFYUI_WORKFLOW_NODES = COMFYUI_WORKFLOW_NODES
|
||||
|
||||
app.state.config.IMAGE_SIZE = IMAGE_SIZE
|
||||
app.state.config.IMAGE_STEPS = IMAGE_STEPS
|
||||
app.state.config.COMFYUI_CFG_SCALE = COMFYUI_CFG_SCALE
|
||||
app.state.config.COMFYUI_SAMPLER = COMFYUI_SAMPLER
|
||||
app.state.config.COMFYUI_SCHEDULER = COMFYUI_SCHEDULER
|
||||
app.state.config.COMFYUI_SD3 = COMFYUI_SD3
|
||||
app.state.config.COMFYUI_FLUX = COMFYUI_FLUX
|
||||
app.state.config.COMFYUI_FLUX_WEIGHT_DTYPE = COMFYUI_FLUX_WEIGHT_DTYPE
|
||||
app.state.config.COMFYUI_FLUX_FP8_CLIP = COMFYUI_FLUX_FP8_CLIP
|
||||
|
||||
|
||||
@app.get("/config")
|
||||
async def get_config(request: Request, user=Depends(get_admin_user)):
|
||||
return {
|
||||
"enabled": app.state.config.ENABLED,
|
||||
"engine": app.state.config.ENGINE,
|
||||
"openai": {
|
||||
"OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL,
|
||||
"OPENAI_API_KEY": app.state.config.OPENAI_API_KEY,
|
||||
},
|
||||
"automatic1111": {
|
||||
"AUTOMATIC1111_BASE_URL": app.state.config.AUTOMATIC1111_BASE_URL,
|
||||
"AUTOMATIC1111_API_AUTH": app.state.config.AUTOMATIC1111_API_AUTH,
|
||||
},
|
||||
"comfyui": {
|
||||
"COMFYUI_BASE_URL": app.state.config.COMFYUI_BASE_URL,
|
||||
"COMFYUI_WORKFLOW": app.state.config.COMFYUI_WORKFLOW,
|
||||
"COMFYUI_WORKFLOW_NODES": app.state.config.COMFYUI_WORKFLOW_NODES,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
class OpenAIConfigForm(BaseModel):
|
||||
OPENAI_API_BASE_URL: str
|
||||
OPENAI_API_KEY: str
|
||||
|
||||
|
||||
class Automatic1111ConfigForm(BaseModel):
|
||||
AUTOMATIC1111_BASE_URL: str
|
||||
AUTOMATIC1111_API_AUTH: str
|
||||
|
||||
|
||||
class ComfyUIConfigForm(BaseModel):
|
||||
COMFYUI_BASE_URL: str
|
||||
COMFYUI_WORKFLOW: str
|
||||
COMFYUI_WORKFLOW_NODES: list[dict]
|
||||
|
||||
|
||||
class ConfigForm(BaseModel):
|
||||
enabled: bool
|
||||
engine: str
|
||||
openai: OpenAIConfigForm
|
||||
automatic1111: Automatic1111ConfigForm
|
||||
comfyui: ComfyUIConfigForm
|
||||
|
||||
|
||||
@app.post("/config/update")
|
||||
async def update_config(form_data: ConfigForm, user=Depends(get_admin_user)):
|
||||
app.state.config.ENGINE = form_data.engine
|
||||
app.state.config.ENABLED = form_data.enabled
|
||||
|
||||
app.state.config.OPENAI_API_BASE_URL = form_data.openai.OPENAI_API_BASE_URL
|
||||
app.state.config.OPENAI_API_KEY = form_data.openai.OPENAI_API_KEY
|
||||
|
||||
app.state.config.AUTOMATIC1111_BASE_URL = (
|
||||
form_data.automatic1111.AUTOMATIC1111_BASE_URL
|
||||
)
|
||||
app.state.config.AUTOMATIC1111_API_AUTH = (
|
||||
form_data.automatic1111.AUTOMATIC1111_API_AUTH
|
||||
)
|
||||
|
||||
app.state.config.COMFYUI_BASE_URL = form_data.comfyui.COMFYUI_BASE_URL
|
||||
app.state.config.COMFYUI_WORKFLOW = form_data.comfyui.COMFYUI_WORKFLOW
|
||||
app.state.config.COMFYUI_WORKFLOW_NODES = form_data.comfyui.COMFYUI_WORKFLOW_NODES
|
||||
|
||||
return {
|
||||
"enabled": app.state.config.ENABLED,
|
||||
"engine": app.state.config.ENGINE,
|
||||
"openai": {
|
||||
"OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL,
|
||||
"OPENAI_API_KEY": app.state.config.OPENAI_API_KEY,
|
||||
},
|
||||
"automatic1111": {
|
||||
"AUTOMATIC1111_BASE_URL": app.state.config.AUTOMATIC1111_BASE_URL,
|
||||
"AUTOMATIC1111_API_AUTH": app.state.config.AUTOMATIC1111_API_AUTH,
|
||||
},
|
||||
"comfyui": {
|
||||
"COMFYUI_BASE_URL": app.state.config.COMFYUI_BASE_URL,
|
||||
"COMFYUI_WORKFLOW": app.state.config.COMFYUI_WORKFLOW,
|
||||
"COMFYUI_WORKFLOW_NODES": app.state.config.COMFYUI_WORKFLOW_NODES,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def get_automatic1111_api_auth():
|
||||
if app.state.config.AUTOMATIC1111_API_AUTH == None:
|
||||
if app.state.config.AUTOMATIC1111_API_AUTH is None:
|
||||
return ""
|
||||
else:
|
||||
auth1111_byte_string = app.state.config.AUTOMATIC1111_API_AUTH.encode("utf-8")
|
||||
@@ -103,164 +176,110 @@ def get_automatic1111_api_auth():
|
||||
return f"Basic {auth1111_base64_encoded_string}"
|
||||
|
||||
|
||||
@app.get("/config")
|
||||
async def get_config(request: Request, user=Depends(get_admin_user)):
|
||||
return {
|
||||
"engine": app.state.config.ENGINE,
|
||||
"enabled": app.state.config.ENABLED,
|
||||
}
|
||||
|
||||
|
||||
class ConfigUpdateForm(BaseModel):
|
||||
engine: str
|
||||
enabled: bool
|
||||
|
||||
|
||||
@app.post("/config/update")
|
||||
async def update_config(form_data: ConfigUpdateForm, user=Depends(get_admin_user)):
|
||||
app.state.config.ENGINE = form_data.engine
|
||||
app.state.config.ENABLED = form_data.enabled
|
||||
return {
|
||||
"engine": app.state.config.ENGINE,
|
||||
"enabled": app.state.config.ENABLED,
|
||||
}
|
||||
|
||||
|
||||
class EngineUrlUpdateForm(BaseModel):
|
||||
AUTOMATIC1111_BASE_URL: Optional[str] = None
|
||||
AUTOMATIC1111_API_AUTH: Optional[str] = None
|
||||
COMFYUI_BASE_URL: Optional[str] = None
|
||||
|
||||
|
||||
@app.get("/url")
|
||||
async def get_engine_url(user=Depends(get_admin_user)):
|
||||
return {
|
||||
"AUTOMATIC1111_BASE_URL": app.state.config.AUTOMATIC1111_BASE_URL,
|
||||
"AUTOMATIC1111_API_AUTH": app.state.config.AUTOMATIC1111_API_AUTH,
|
||||
"COMFYUI_BASE_URL": app.state.config.COMFYUI_BASE_URL,
|
||||
}
|
||||
|
||||
|
||||
@app.post("/url/update")
|
||||
async def update_engine_url(
|
||||
form_data: EngineUrlUpdateForm, user=Depends(get_admin_user)
|
||||
):
|
||||
if form_data.AUTOMATIC1111_BASE_URL == None:
|
||||
app.state.config.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
|
||||
else:
|
||||
url = form_data.AUTOMATIC1111_BASE_URL.strip("/")
|
||||
@app.get("/config/url/verify")
|
||||
async def verify_url(user=Depends(get_admin_user)):
|
||||
if app.state.config.ENGINE == "automatic1111":
|
||||
try:
|
||||
r = requests.head(url)
|
||||
app.state.config.AUTOMATIC1111_BASE_URL = url
|
||||
r = requests.get(
|
||||
url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options",
|
||||
headers={"authorization": get_automatic1111_api_auth()},
|
||||
)
|
||||
r.raise_for_status()
|
||||
return True
|
||||
except Exception as e:
|
||||
app.state.config.ENABLED = False
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.INVALID_URL)
|
||||
elif app.state.config.ENGINE == "comfyui":
|
||||
try:
|
||||
r = requests.get(url=f"{app.state.config.COMFYUI_BASE_URL}/object_info")
|
||||
r.raise_for_status()
|
||||
return True
|
||||
except Exception as e:
|
||||
app.state.config.ENABLED = False
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.INVALID_URL)
|
||||
else:
|
||||
return True
|
||||
|
||||
|
||||
def set_image_model(model: str):
|
||||
app.state.config.MODEL = model
|
||||
if app.state.config.ENGINE in ["", "automatic1111"]:
|
||||
api_auth = get_automatic1111_api_auth()
|
||||
r = requests.get(
|
||||
url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options",
|
||||
headers={"authorization": api_auth},
|
||||
)
|
||||
options = r.json()
|
||||
if model != options["sd_model_checkpoint"]:
|
||||
options["sd_model_checkpoint"] = model
|
||||
r = requests.post(
|
||||
url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options",
|
||||
json=options,
|
||||
headers={"authorization": api_auth},
|
||||
)
|
||||
return app.state.config.MODEL
|
||||
|
||||
|
||||
def get_image_model():
|
||||
if app.state.config.ENGINE == "openai":
|
||||
return app.state.config.MODEL if app.state.config.MODEL else "dall-e-2"
|
||||
elif app.state.config.ENGINE == "comfyui":
|
||||
return app.state.config.MODEL if app.state.config.MODEL else ""
|
||||
elif app.state.config.ENGINE == "automatic1111" or app.state.config.ENGINE == "":
|
||||
try:
|
||||
r = requests.get(
|
||||
url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options",
|
||||
headers={"authorization": get_automatic1111_api_auth()},
|
||||
)
|
||||
options = r.json()
|
||||
return options["sd_model_checkpoint"]
|
||||
except Exception as e:
|
||||
app.state.config.ENABLED = False
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
|
||||
|
||||
if form_data.COMFYUI_BASE_URL == None:
|
||||
app.state.config.COMFYUI_BASE_URL = COMFYUI_BASE_URL
|
||||
else:
|
||||
url = form_data.COMFYUI_BASE_URL.strip("/")
|
||||
|
||||
try:
|
||||
r = requests.head(url)
|
||||
app.state.config.COMFYUI_BASE_URL = url
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
|
||||
class ImageConfigForm(BaseModel):
|
||||
MODEL: str
|
||||
IMAGE_SIZE: str
|
||||
IMAGE_STEPS: int
|
||||
|
||||
if form_data.AUTOMATIC1111_API_AUTH == None:
|
||||
app.state.config.AUTOMATIC1111_API_AUTH = AUTOMATIC1111_API_AUTH
|
||||
else:
|
||||
app.state.config.AUTOMATIC1111_API_AUTH = form_data.AUTOMATIC1111_API_AUTH
|
||||
|
||||
@app.get("/image/config")
|
||||
async def get_image_config(user=Depends(get_admin_user)):
|
||||
return {
|
||||
"AUTOMATIC1111_BASE_URL": app.state.config.AUTOMATIC1111_BASE_URL,
|
||||
"AUTOMATIC1111_API_AUTH": app.state.config.AUTOMATIC1111_API_AUTH,
|
||||
"COMFYUI_BASE_URL": app.state.config.COMFYUI_BASE_URL,
|
||||
"status": True,
|
||||
"MODEL": app.state.config.MODEL,
|
||||
"IMAGE_SIZE": app.state.config.IMAGE_SIZE,
|
||||
"IMAGE_STEPS": app.state.config.IMAGE_STEPS,
|
||||
}
|
||||
|
||||
|
||||
class OpenAIConfigUpdateForm(BaseModel):
|
||||
url: str
|
||||
key: str
|
||||
@app.post("/image/config/update")
|
||||
async def update_image_config(form_data: ImageConfigForm, user=Depends(get_admin_user)):
|
||||
app.state.config.MODEL = form_data.MODEL
|
||||
|
||||
|
||||
@app.get("/openai/config")
|
||||
async def get_openai_config(user=Depends(get_admin_user)):
|
||||
return {
|
||||
"OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL,
|
||||
"OPENAI_API_KEY": app.state.config.OPENAI_API_KEY,
|
||||
}
|
||||
|
||||
|
||||
@app.post("/openai/config/update")
|
||||
async def update_openai_config(
|
||||
form_data: OpenAIConfigUpdateForm, user=Depends(get_admin_user)
|
||||
):
|
||||
if form_data.key == "":
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
|
||||
|
||||
app.state.config.OPENAI_API_BASE_URL = form_data.url
|
||||
app.state.config.OPENAI_API_KEY = form_data.key
|
||||
|
||||
return {
|
||||
"status": True,
|
||||
"OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL,
|
||||
"OPENAI_API_KEY": app.state.config.OPENAI_API_KEY,
|
||||
}
|
||||
|
||||
|
||||
class ImageSizeUpdateForm(BaseModel):
|
||||
size: str
|
||||
|
||||
|
||||
@app.get("/size")
|
||||
async def get_image_size(user=Depends(get_admin_user)):
|
||||
return {"IMAGE_SIZE": app.state.config.IMAGE_SIZE}
|
||||
|
||||
|
||||
@app.post("/size/update")
|
||||
async def update_image_size(
|
||||
form_data: ImageSizeUpdateForm, user=Depends(get_admin_user)
|
||||
):
|
||||
pattern = r"^\d+x\d+$" # Regular expression pattern
|
||||
if re.match(pattern, form_data.size):
|
||||
app.state.config.IMAGE_SIZE = form_data.size
|
||||
return {
|
||||
"IMAGE_SIZE": app.state.config.IMAGE_SIZE,
|
||||
"status": True,
|
||||
}
|
||||
pattern = r"^\d+x\d+$"
|
||||
if re.match(pattern, form_data.IMAGE_SIZE):
|
||||
app.state.config.IMAGE_SIZE = form_data.IMAGE_SIZE
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=ERROR_MESSAGES.INCORRECT_FORMAT(" (e.g., 512x512)."),
|
||||
)
|
||||
|
||||
|
||||
class ImageStepsUpdateForm(BaseModel):
|
||||
steps: int
|
||||
|
||||
|
||||
@app.get("/steps")
|
||||
async def get_image_size(user=Depends(get_admin_user)):
|
||||
return {"IMAGE_STEPS": app.state.config.IMAGE_STEPS}
|
||||
|
||||
|
||||
@app.post("/steps/update")
|
||||
async def update_image_size(
|
||||
form_data: ImageStepsUpdateForm, user=Depends(get_admin_user)
|
||||
):
|
||||
if form_data.steps >= 0:
|
||||
app.state.config.IMAGE_STEPS = form_data.steps
|
||||
return {
|
||||
"IMAGE_STEPS": app.state.config.IMAGE_STEPS,
|
||||
"status": True,
|
||||
}
|
||||
if form_data.IMAGE_STEPS >= 0:
|
||||
app.state.config.IMAGE_STEPS = form_data.IMAGE_STEPS
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=ERROR_MESSAGES.INCORRECT_FORMAT(" (e.g., 50)."),
|
||||
)
|
||||
|
||||
return {
|
||||
"MODEL": app.state.config.MODEL,
|
||||
"IMAGE_SIZE": app.state.config.IMAGE_SIZE,
|
||||
"IMAGE_STEPS": app.state.config.IMAGE_STEPS,
|
||||
}
|
||||
|
||||
|
||||
@app.get("/models")
|
||||
def get_models(user=Depends(get_verified_user)):
|
||||
@@ -271,18 +290,51 @@ def get_models(user=Depends(get_verified_user)):
|
||||
{"id": "dall-e-3", "name": "DALL·E 3"},
|
||||
]
|
||||
elif app.state.config.ENGINE == "comfyui":
|
||||
|
||||
# TODO - get models from comfyui
|
||||
r = requests.get(url=f"{app.state.config.COMFYUI_BASE_URL}/object_info")
|
||||
info = r.json()
|
||||
|
||||
return list(
|
||||
map(
|
||||
lambda model: {"id": model, "name": model},
|
||||
info["CheckpointLoaderSimple"]["input"]["required"]["ckpt_name"][0],
|
||||
)
|
||||
)
|
||||
workflow = json.loads(app.state.config.COMFYUI_WORKFLOW)
|
||||
model_node_id = None
|
||||
|
||||
else:
|
||||
for node in app.state.config.COMFYUI_WORKFLOW_NODES:
|
||||
if node["type"] == "model":
|
||||
if node["node_ids"]:
|
||||
model_node_id = node["node_ids"][0]
|
||||
break
|
||||
|
||||
if model_node_id:
|
||||
model_list_key = None
|
||||
|
||||
print(workflow[model_node_id]["class_type"])
|
||||
for key in info[workflow[model_node_id]["class_type"]]["input"][
|
||||
"required"
|
||||
]:
|
||||
if "_name" in key:
|
||||
model_list_key = key
|
||||
break
|
||||
|
||||
if model_list_key:
|
||||
return list(
|
||||
map(
|
||||
lambda model: {"id": model, "name": model},
|
||||
info[workflow[model_node_id]["class_type"]]["input"][
|
||||
"required"
|
||||
][model_list_key][0],
|
||||
)
|
||||
)
|
||||
else:
|
||||
return list(
|
||||
map(
|
||||
lambda model: {"id": model, "name": model},
|
||||
info["CheckpointLoaderSimple"]["input"]["required"][
|
||||
"ckpt_name"
|
||||
][0],
|
||||
)
|
||||
)
|
||||
elif (
|
||||
app.state.config.ENGINE == "automatic1111" or app.state.config.ENGINE == ""
|
||||
):
|
||||
r = requests.get(
|
||||
url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/sd-models",
|
||||
headers={"authorization": get_automatic1111_api_auth()},
|
||||
@@ -299,69 +351,11 @@ def get_models(user=Depends(get_verified_user)):
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
|
||||
|
||||
|
||||
@app.get("/models/default")
|
||||
async def get_default_model(user=Depends(get_admin_user)):
|
||||
try:
|
||||
if app.state.config.ENGINE == "openai":
|
||||
return {
|
||||
"model": (
|
||||
app.state.config.MODEL if app.state.config.MODEL else "dall-e-2"
|
||||
)
|
||||
}
|
||||
elif app.state.config.ENGINE == "comfyui":
|
||||
return {"model": (app.state.config.MODEL if app.state.config.MODEL else "")}
|
||||
else:
|
||||
r = requests.get(
|
||||
url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options",
|
||||
headers={"authorization": get_automatic1111_api_auth()},
|
||||
)
|
||||
options = r.json()
|
||||
return {"model": options["sd_model_checkpoint"]}
|
||||
except Exception as e:
|
||||
app.state.config.ENABLED = False
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
|
||||
|
||||
|
||||
class UpdateModelForm(BaseModel):
|
||||
model: str
|
||||
|
||||
|
||||
def set_model_handler(model: str):
|
||||
if app.state.config.ENGINE in ["openai", "comfyui"]:
|
||||
app.state.config.MODEL = model
|
||||
return app.state.config.MODEL
|
||||
else:
|
||||
api_auth = get_automatic1111_api_auth()
|
||||
r = requests.get(
|
||||
url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options",
|
||||
headers={"authorization": api_auth},
|
||||
)
|
||||
options = r.json()
|
||||
|
||||
if model != options["sd_model_checkpoint"]:
|
||||
options["sd_model_checkpoint"] = model
|
||||
r = requests.post(
|
||||
url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options",
|
||||
json=options,
|
||||
headers={"authorization": api_auth},
|
||||
)
|
||||
|
||||
return options
|
||||
|
||||
|
||||
@app.post("/models/default/update")
|
||||
def update_default_model(
|
||||
form_data: UpdateModelForm,
|
||||
user=Depends(get_verified_user),
|
||||
):
|
||||
return set_model_handler(form_data.model)
|
||||
|
||||
|
||||
class GenerateImageForm(BaseModel):
|
||||
model: Optional[str] = None
|
||||
prompt: str
|
||||
n: int = 1
|
||||
size: Optional[str] = None
|
||||
n: int = 1
|
||||
negative_prompt: Optional[str] = None
|
||||
|
||||
|
||||
@@ -477,7 +471,6 @@ async def image_generations(
|
||||
return images
|
||||
|
||||
elif app.state.config.ENGINE == "comfyui":
|
||||
|
||||
data = {
|
||||
"prompt": form_data.prompt,
|
||||
"width": width,
|
||||
@@ -491,32 +484,20 @@ async def image_generations(
|
||||
if form_data.negative_prompt is not None:
|
||||
data["negative_prompt"] = form_data.negative_prompt
|
||||
|
||||
if app.state.config.COMFYUI_CFG_SCALE:
|
||||
data["cfg_scale"] = app.state.config.COMFYUI_CFG_SCALE
|
||||
|
||||
if app.state.config.COMFYUI_SAMPLER is not None:
|
||||
data["sampler"] = app.state.config.COMFYUI_SAMPLER
|
||||
|
||||
if app.state.config.COMFYUI_SCHEDULER is not None:
|
||||
data["scheduler"] = app.state.config.COMFYUI_SCHEDULER
|
||||
|
||||
if app.state.config.COMFYUI_SD3 is not None:
|
||||
data["sd3"] = app.state.config.COMFYUI_SD3
|
||||
|
||||
if app.state.config.COMFYUI_FLUX is not None:
|
||||
data["flux"] = app.state.config.COMFYUI_FLUX
|
||||
|
||||
if app.state.config.COMFYUI_FLUX_WEIGHT_DTYPE is not None:
|
||||
data["flux_weight_dtype"] = app.state.config.COMFYUI_FLUX_WEIGHT_DTYPE
|
||||
|
||||
if app.state.config.COMFYUI_FLUX_FP8_CLIP is not None:
|
||||
data["flux_fp8_clip"] = app.state.config.COMFYUI_FLUX_FP8_CLIP
|
||||
|
||||
data = ImageGenerationPayload(**data)
|
||||
|
||||
res = comfyui_generate_image(
|
||||
form_data = ComfyUIGenerateImageForm(
|
||||
**{
|
||||
"workflow": ComfyUIWorkflow(
|
||||
**{
|
||||
"workflow": app.state.config.COMFYUI_WORKFLOW,
|
||||
"nodes": app.state.config.COMFYUI_WORKFLOW_NODES,
|
||||
}
|
||||
),
|
||||
**data,
|
||||
}
|
||||
)
|
||||
res = await comfyui_generate_image(
|
||||
app.state.config.MODEL,
|
||||
data,
|
||||
form_data,
|
||||
user.id,
|
||||
app.state.config.COMFYUI_BASE_URL,
|
||||
)
|
||||
@@ -530,13 +511,15 @@ async def image_generations(
|
||||
file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}.json")
|
||||
|
||||
with open(file_body_path, "w") as f:
|
||||
json.dump(data.model_dump(exclude_none=True), f)
|
||||
json.dump(form_data.model_dump(exclude_none=True), f)
|
||||
|
||||
log.debug(f"images: {images}")
|
||||
return images
|
||||
else:
|
||||
elif (
|
||||
app.state.config.ENGINE == "automatic1111" or app.state.config.ENGINE == ""
|
||||
):
|
||||
if form_data.model:
|
||||
set_model_handler(form_data.model)
|
||||
set_image_model(form_data.model)
|
||||
|
||||
data = {
|
||||
"prompt": form_data.prompt,
|
||||
@@ -551,14 +534,15 @@ async def image_generations(
|
||||
if form_data.negative_prompt is not None:
|
||||
data["negative_prompt"] = form_data.negative_prompt
|
||||
|
||||
r = requests.post(
|
||||
# Use asyncio.to_thread for the requests.post call
|
||||
r = await asyncio.to_thread(
|
||||
requests.post,
|
||||
url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/txt2img",
|
||||
json=data,
|
||||
headers={"authorization": get_automatic1111_api_auth()},
|
||||
)
|
||||
|
||||
res = r.json()
|
||||
|
||||
log.debug(f"res: {res}")
|
||||
|
||||
images = []
|
||||
@@ -572,10 +556,8 @@ async def image_generations(
|
||||
json.dump({**data, "info": res["info"]}, f)
|
||||
|
||||
return images
|
||||
|
||||
except Exception as e:
|
||||
error = e
|
||||
|
||||
if r != None:
|
||||
data = r.json()
|
||||
if "error" in data:
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import asyncio
|
||||
import websocket # NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
|
||||
import uuid
|
||||
import json
|
||||
import urllib.request
|
||||
import urllib.parse
|
||||
@@ -15,245 +15,6 @@ from pydantic import BaseModel
|
||||
|
||||
from typing import Optional
|
||||
|
||||
COMFYUI_DEFAULT_PROMPT = """
|
||||
{
|
||||
"3": {
|
||||
"inputs": {
|
||||
"seed": 0,
|
||||
"steps": 20,
|
||||
"cfg": 8,
|
||||
"sampler_name": "euler",
|
||||
"scheduler": "normal",
|
||||
"denoise": 1,
|
||||
"model": [
|
||||
"4",
|
||||
0
|
||||
],
|
||||
"positive": [
|
||||
"6",
|
||||
0
|
||||
],
|
||||
"negative": [
|
||||
"7",
|
||||
0
|
||||
],
|
||||
"latent_image": [
|
||||
"5",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "KSampler",
|
||||
"_meta": {
|
||||
"title": "KSampler"
|
||||
}
|
||||
},
|
||||
"4": {
|
||||
"inputs": {
|
||||
"ckpt_name": "model.safetensors"
|
||||
},
|
||||
"class_type": "CheckpointLoaderSimple",
|
||||
"_meta": {
|
||||
"title": "Load Checkpoint"
|
||||
}
|
||||
},
|
||||
"5": {
|
||||
"inputs": {
|
||||
"width": 512,
|
||||
"height": 512,
|
||||
"batch_size": 1
|
||||
},
|
||||
"class_type": "EmptyLatentImage",
|
||||
"_meta": {
|
||||
"title": "Empty Latent Image"
|
||||
}
|
||||
},
|
||||
"6": {
|
||||
"inputs": {
|
||||
"text": "Prompt",
|
||||
"clip": [
|
||||
"4",
|
||||
1
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncode",
|
||||
"_meta": {
|
||||
"title": "CLIP Text Encode (Prompt)"
|
||||
}
|
||||
},
|
||||
"7": {
|
||||
"inputs": {
|
||||
"text": "Negative Prompt",
|
||||
"clip": [
|
||||
"4",
|
||||
1
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncode",
|
||||
"_meta": {
|
||||
"title": "CLIP Text Encode (Prompt)"
|
||||
}
|
||||
},
|
||||
"8": {
|
||||
"inputs": {
|
||||
"samples": [
|
||||
"3",
|
||||
0
|
||||
],
|
||||
"vae": [
|
||||
"4",
|
||||
2
|
||||
]
|
||||
},
|
||||
"class_type": "VAEDecode",
|
||||
"_meta": {
|
||||
"title": "VAE Decode"
|
||||
}
|
||||
},
|
||||
"9": {
|
||||
"inputs": {
|
||||
"filename_prefix": "ComfyUI",
|
||||
"images": [
|
||||
"8",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "SaveImage",
|
||||
"_meta": {
|
||||
"title": "Save Image"
|
||||
}
|
||||
}
|
||||
}
|
||||
"""
|
||||
|
||||
FLUX_DEFAULT_PROMPT = """
|
||||
{
|
||||
"5": {
|
||||
"inputs": {
|
||||
"width": 1024,
|
||||
"height": 1024,
|
||||
"batch_size": 1
|
||||
},
|
||||
"class_type": "EmptyLatentImage"
|
||||
},
|
||||
"6": {
|
||||
"inputs": {
|
||||
"text": "Input Text Here",
|
||||
"clip": [
|
||||
"11",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncode"
|
||||
},
|
||||
"8": {
|
||||
"inputs": {
|
||||
"samples": [
|
||||
"13",
|
||||
0
|
||||
],
|
||||
"vae": [
|
||||
"10",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "VAEDecode"
|
||||
},
|
||||
"9": {
|
||||
"inputs": {
|
||||
"filename_prefix": "ComfyUI",
|
||||
"images": [
|
||||
"8",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "SaveImage"
|
||||
},
|
||||
"10": {
|
||||
"inputs": {
|
||||
"vae_name": "ae.sft"
|
||||
},
|
||||
"class_type": "VAELoader"
|
||||
},
|
||||
"11": {
|
||||
"inputs": {
|
||||
"clip_name1": "clip_l.safetensors",
|
||||
"clip_name2": "t5xxl_fp16.safetensors",
|
||||
"type": "flux"
|
||||
},
|
||||
"class_type": "DualCLIPLoader"
|
||||
},
|
||||
"12": {
|
||||
"inputs": {
|
||||
"unet_name": "flux1-dev.sft",
|
||||
"weight_dtype": "default"
|
||||
},
|
||||
"class_type": "UNETLoader"
|
||||
},
|
||||
"13": {
|
||||
"inputs": {
|
||||
"noise": [
|
||||
"25",
|
||||
0
|
||||
],
|
||||
"guider": [
|
||||
"22",
|
||||
0
|
||||
],
|
||||
"sampler": [
|
||||
"16",
|
||||
0
|
||||
],
|
||||
"sigmas": [
|
||||
"17",
|
||||
0
|
||||
],
|
||||
"latent_image": [
|
||||
"5",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "SamplerCustomAdvanced"
|
||||
},
|
||||
"16": {
|
||||
"inputs": {
|
||||
"sampler_name": "euler"
|
||||
},
|
||||
"class_type": "KSamplerSelect"
|
||||
},
|
||||
"17": {
|
||||
"inputs": {
|
||||
"scheduler": "simple",
|
||||
"steps": 20,
|
||||
"denoise": 1,
|
||||
"model": [
|
||||
"12",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "BasicScheduler"
|
||||
},
|
||||
"22": {
|
||||
"inputs": {
|
||||
"model": [
|
||||
"12",
|
||||
0
|
||||
],
|
||||
"conditioning": [
|
||||
"6",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "BasicGuider"
|
||||
},
|
||||
"25": {
|
||||
"inputs": {
|
||||
"noise_seed": 778937779713005
|
||||
},
|
||||
"class_type": "RandomNoise"
|
||||
}
|
||||
}
|
||||
"""
|
||||
|
||||
|
||||
def queue_prompt(prompt, client_id, base_url):
|
||||
log.info("queue_prompt")
|
||||
@@ -311,82 +72,71 @@ def get_images(ws, prompt, client_id, base_url):
|
||||
return {"data": output_images}
|
||||
|
||||
|
||||
class ImageGenerationPayload(BaseModel):
|
||||
class ComfyUINodeInput(BaseModel):
|
||||
type: Optional[str] = None
|
||||
node_ids: list[str] = []
|
||||
key: Optional[str] = "text"
|
||||
value: Optional[str] = None
|
||||
|
||||
|
||||
class ComfyUIWorkflow(BaseModel):
|
||||
workflow: str
|
||||
nodes: list[ComfyUINodeInput]
|
||||
|
||||
|
||||
class ComfyUIGenerateImageForm(BaseModel):
|
||||
workflow: ComfyUIWorkflow
|
||||
|
||||
prompt: str
|
||||
negative_prompt: Optional[str] = ""
|
||||
steps: Optional[int] = None
|
||||
seed: Optional[int] = None
|
||||
negative_prompt: Optional[str] = None
|
||||
width: int
|
||||
height: int
|
||||
n: int = 1
|
||||
cfg_scale: Optional[float] = None
|
||||
sampler: Optional[str] = None
|
||||
scheduler: Optional[str] = None
|
||||
sd3: Optional[bool] = None
|
||||
flux: Optional[bool] = None
|
||||
flux_weight_dtype: Optional[str] = None
|
||||
flux_fp8_clip: Optional[bool] = None
|
||||
|
||||
steps: Optional[int] = None
|
||||
seed: Optional[int] = None
|
||||
|
||||
|
||||
def comfyui_generate_image(
|
||||
model: str, payload: ImageGenerationPayload, client_id, base_url
|
||||
async def comfyui_generate_image(
|
||||
model: str, payload: ComfyUIGenerateImageForm, client_id, base_url
|
||||
):
|
||||
ws_url = base_url.replace("http://", "ws://").replace("https://", "wss://")
|
||||
workflow = json.loads(payload.workflow.workflow)
|
||||
|
||||
comfyui_prompt = json.loads(COMFYUI_DEFAULT_PROMPT)
|
||||
|
||||
if payload.cfg_scale:
|
||||
comfyui_prompt["3"]["inputs"]["cfg"] = payload.cfg_scale
|
||||
|
||||
if payload.sampler:
|
||||
comfyui_prompt["3"]["inputs"]["sampler"] = payload.sampler
|
||||
|
||||
if payload.scheduler:
|
||||
comfyui_prompt["3"]["inputs"]["scheduler"] = payload.scheduler
|
||||
|
||||
if payload.sd3:
|
||||
comfyui_prompt["5"]["class_type"] = "EmptySD3LatentImage"
|
||||
|
||||
if payload.steps:
|
||||
comfyui_prompt["3"]["inputs"]["steps"] = payload.steps
|
||||
|
||||
comfyui_prompt["4"]["inputs"]["ckpt_name"] = model
|
||||
comfyui_prompt["7"]["inputs"]["text"] = payload.negative_prompt
|
||||
comfyui_prompt["3"]["inputs"]["seed"] = (
|
||||
payload.seed if payload.seed else random.randint(0, 18446744073709551614)
|
||||
)
|
||||
|
||||
# as Flux uses a completely different workflow, we must treat it specially
|
||||
if payload.flux:
|
||||
comfyui_prompt = json.loads(FLUX_DEFAULT_PROMPT)
|
||||
comfyui_prompt["12"]["inputs"]["unet_name"] = model
|
||||
comfyui_prompt["25"]["inputs"]["noise_seed"] = (
|
||||
payload.seed if payload.seed else random.randint(0, 18446744073709551614)
|
||||
)
|
||||
|
||||
if payload.sampler:
|
||||
comfyui_prompt["16"]["inputs"]["sampler_name"] = payload.sampler
|
||||
|
||||
if payload.steps:
|
||||
comfyui_prompt["17"]["inputs"]["steps"] = payload.steps
|
||||
|
||||
if payload.scheduler:
|
||||
comfyui_prompt["17"]["inputs"]["scheduler"] = payload.scheduler
|
||||
|
||||
if payload.flux_weight_dtype:
|
||||
comfyui_prompt["12"]["inputs"]["weight_dtype"] = payload.flux_weight_dtype
|
||||
|
||||
if payload.flux_fp8_clip:
|
||||
comfyui_prompt["11"]["inputs"][
|
||||
"clip_name2"
|
||||
] = "t5xxl_fp8_e4m3fn.safetensors"
|
||||
|
||||
comfyui_prompt["5"]["inputs"]["batch_size"] = payload.n
|
||||
comfyui_prompt["5"]["inputs"]["width"] = payload.width
|
||||
comfyui_prompt["5"]["inputs"]["height"] = payload.height
|
||||
|
||||
# set the text prompt for our positive CLIPTextEncode
|
||||
comfyui_prompt["6"]["inputs"]["text"] = payload.prompt
|
||||
for node in payload.workflow.nodes:
|
||||
if node.type:
|
||||
if node.type == "model":
|
||||
for node_id in node.node_ids:
|
||||
workflow[node_id]["inputs"][node.key] = model
|
||||
elif node.type == "prompt":
|
||||
for node_id in node.node_ids:
|
||||
workflow[node_id]["inputs"]["text"] = payload.prompt
|
||||
elif node.type == "negative_prompt":
|
||||
for node_id in node.node_ids:
|
||||
workflow[node_id]["inputs"]["text"] = payload.negative_prompt
|
||||
elif node.type == "width":
|
||||
for node_id in node.node_ids:
|
||||
workflow[node_id]["inputs"]["width"] = payload.width
|
||||
elif node.type == "height":
|
||||
for node_id in node.node_ids:
|
||||
workflow[node_id]["inputs"]["height"] = payload.height
|
||||
elif node.type == "n":
|
||||
for node_id in node.node_ids:
|
||||
workflow[node_id]["inputs"]["batch_size"] = payload.n
|
||||
elif node.type == "steps":
|
||||
for node_id in node.node_ids:
|
||||
workflow[node_id]["inputs"]["steps"] = payload.steps
|
||||
elif node.type == "seed":
|
||||
seed = (
|
||||
payload.seed
|
||||
if payload.seed
|
||||
else random.randint(0, 18446744073709551614)
|
||||
)
|
||||
for node_id in node.node_ids:
|
||||
workflow[node_id]["inputs"][node.key] = seed
|
||||
else:
|
||||
for node_id in node.node_ids:
|
||||
workflow[node_id]["inputs"][node.key] = node.value
|
||||
|
||||
try:
|
||||
ws = websocket.WebSocket()
|
||||
@@ -397,7 +147,9 @@ def comfyui_generate_image(
|
||||
return None
|
||||
|
||||
try:
|
||||
images = get_images(ws, comfyui_prompt, client_id, base_url)
|
||||
log.info("Sending workflow to WebSocket server.")
|
||||
log.info(f"Workflow: {workflow}")
|
||||
images = await asyncio.to_thread(get_images, ws, workflow, client_id, base_url)
|
||||
except Exception as e:
|
||||
log.exception(f"Error while receiving images: {e}")
|
||||
images = None
|
||||
|
||||
+129
-324
@@ -1,47 +1,36 @@
|
||||
from fastapi import (
|
||||
FastAPI,
|
||||
Request,
|
||||
Response,
|
||||
HTTPException,
|
||||
Depends,
|
||||
status,
|
||||
UploadFile,
|
||||
File,
|
||||
BackgroundTasks,
|
||||
)
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import StreamingResponse
|
||||
from fastapi.concurrency import run_in_threadpool
|
||||
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
|
||||
import os
|
||||
import re
|
||||
import copy
|
||||
import random
|
||||
import requests
|
||||
import json
|
||||
import uuid
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import logging
|
||||
import time
|
||||
from urllib.parse import urlparse
|
||||
from typing import Optional, List, Union
|
||||
from typing import Optional, Union
|
||||
|
||||
from starlette.background import BackgroundTask
|
||||
|
||||
from apps.webui.models.models import Models
|
||||
from apps.webui.models.users import Users
|
||||
from constants import ERROR_MESSAGES
|
||||
from utils.utils import (
|
||||
decode_token,
|
||||
get_current_user,
|
||||
get_verified_user,
|
||||
get_admin_user,
|
||||
)
|
||||
from utils.task import prompt_template
|
||||
|
||||
|
||||
from config import (
|
||||
SRC_LOG_LEVELS,
|
||||
@@ -52,8 +41,14 @@ from config import (
|
||||
MODEL_FILTER_LIST,
|
||||
UPLOAD_DIR,
|
||||
AppConfig,
|
||||
CORS_ALLOW_ORIGIN,
|
||||
)
|
||||
from utils.misc import (
|
||||
calculate_sha256,
|
||||
apply_model_params_to_body_ollama,
|
||||
apply_model_params_to_body_openai,
|
||||
apply_model_system_prompt_to_body,
|
||||
)
|
||||
from utils.misc import calculate_sha256, add_or_update_system_message
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["OLLAMA"])
|
||||
@@ -61,7 +56,7 @@ log.setLevel(SRC_LOG_LEVELS["OLLAMA"])
|
||||
app = FastAPI()
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"],
|
||||
allow_origins=CORS_ALLOW_ORIGIN,
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
@@ -120,7 +115,7 @@ async def get_ollama_api_urls(user=Depends(get_admin_user)):
|
||||
|
||||
|
||||
class UrlUpdateForm(BaseModel):
|
||||
urls: List[str]
|
||||
urls: list[str]
|
||||
|
||||
|
||||
@app.post("/urls/update")
|
||||
@@ -153,20 +148,29 @@ async def cleanup_response(
|
||||
await session.close()
|
||||
|
||||
|
||||
async def post_streaming_url(url: str, payload: str, stream: bool = True):
|
||||
async def post_streaming_url(
|
||||
url: str, payload: Union[str, bytes], stream: bool = True, content_type=None
|
||||
):
|
||||
r = None
|
||||
try:
|
||||
session = aiohttp.ClientSession(
|
||||
trust_env=True, timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT)
|
||||
)
|
||||
r = await session.post(url, data=payload)
|
||||
r = await session.post(
|
||||
url,
|
||||
data=payload,
|
||||
headers={"Content-Type": "application/json"},
|
||||
)
|
||||
r.raise_for_status()
|
||||
|
||||
if stream:
|
||||
headers = dict(r.headers)
|
||||
if content_type:
|
||||
headers["Content-Type"] = content_type
|
||||
return StreamingResponse(
|
||||
r.content,
|
||||
status_code=r.status,
|
||||
headers=dict(r.headers),
|
||||
headers=headers,
|
||||
background=BackgroundTask(
|
||||
cleanup_response, response=r, session=session
|
||||
),
|
||||
@@ -183,7 +187,7 @@ async def post_streaming_url(url: str, payload: str, stream: bool = True):
|
||||
res = await r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
except Exception:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
@@ -238,7 +242,7 @@ async def get_all_models():
|
||||
async def get_ollama_tags(
|
||||
url_idx: Optional[int] = None, user=Depends(get_verified_user)
|
||||
):
|
||||
if url_idx == None:
|
||||
if url_idx is None:
|
||||
models = await get_all_models()
|
||||
|
||||
if app.state.config.ENABLE_MODEL_FILTER:
|
||||
@@ -269,7 +273,7 @@ async def get_ollama_tags(
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
except Exception:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
@@ -282,8 +286,7 @@ async def get_ollama_tags(
|
||||
@app.get("/api/version/{url_idx}")
|
||||
async def get_ollama_versions(url_idx: Optional[int] = None):
|
||||
if app.state.config.ENABLE_OLLAMA_API:
|
||||
if url_idx == None:
|
||||
|
||||
if url_idx is None:
|
||||
# returns lowest version
|
||||
tasks = [
|
||||
fetch_url(f"{url}/api/version")
|
||||
@@ -323,7 +326,7 @@ async def get_ollama_versions(url_idx: Optional[int] = None):
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
except Exception:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
@@ -346,8 +349,6 @@ async def pull_model(
|
||||
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
log.info(f"url: {url}")
|
||||
|
||||
r = None
|
||||
|
||||
# Admin should be able to pull models from any source
|
||||
payload = {**form_data.model_dump(exclude_none=True), "insecure": True}
|
||||
|
||||
@@ -367,7 +368,7 @@ async def push_model(
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_admin_user),
|
||||
):
|
||||
if url_idx == None:
|
||||
if url_idx is None:
|
||||
if form_data.name in app.state.MODELS:
|
||||
url_idx = app.state.MODELS[form_data.name]["urls"][0]
|
||||
else:
|
||||
@@ -417,7 +418,7 @@ async def copy_model(
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_admin_user),
|
||||
):
|
||||
if url_idx == None:
|
||||
if url_idx is None:
|
||||
if form_data.source in app.state.MODELS:
|
||||
url_idx = app.state.MODELS[form_data.source]["urls"][0]
|
||||
else:
|
||||
@@ -428,13 +429,14 @@ async def copy_model(
|
||||
|
||||
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
log.info(f"url: {url}")
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/copy",
|
||||
headers={"Content-Type": "application/json"},
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
|
||||
try:
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/copy",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
r.raise_for_status()
|
||||
|
||||
log.debug(f"r.text: {r.text}")
|
||||
@@ -448,7 +450,7 @@ async def copy_model(
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
except Exception:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
@@ -464,7 +466,7 @@ async def delete_model(
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_admin_user),
|
||||
):
|
||||
if url_idx == None:
|
||||
if url_idx is None:
|
||||
if form_data.name in app.state.MODELS:
|
||||
url_idx = app.state.MODELS[form_data.name]["urls"][0]
|
||||
else:
|
||||
@@ -476,12 +478,13 @@ async def delete_model(
|
||||
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
log.info(f"url: {url}")
|
||||
|
||||
r = requests.request(
|
||||
method="DELETE",
|
||||
url=f"{url}/api/delete",
|
||||
headers={"Content-Type": "application/json"},
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
try:
|
||||
r = requests.request(
|
||||
method="DELETE",
|
||||
url=f"{url}/api/delete",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
r.raise_for_status()
|
||||
|
||||
log.debug(f"r.text: {r.text}")
|
||||
@@ -495,7 +498,7 @@ async def delete_model(
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
except Exception:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
@@ -516,12 +519,13 @@ async def show_model_info(form_data: ModelNameForm, user=Depends(get_verified_us
|
||||
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
log.info(f"url: {url}")
|
||||
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/show",
|
||||
headers={"Content-Type": "application/json"},
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
try:
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/show",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
r.raise_for_status()
|
||||
|
||||
return r.json()
|
||||
@@ -533,7 +537,7 @@ async def show_model_info(form_data: ModelNameForm, user=Depends(get_verified_us
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
except Exception:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
@@ -556,7 +560,7 @@ async def generate_embeddings(
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_verified_user),
|
||||
):
|
||||
if url_idx == None:
|
||||
if url_idx is None:
|
||||
model = form_data.model
|
||||
|
||||
if ":" not in model:
|
||||
@@ -573,12 +577,13 @@ async def generate_embeddings(
|
||||
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
log.info(f"url: {url}")
|
||||
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/embeddings",
|
||||
headers={"Content-Type": "application/json"},
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
try:
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/embeddings",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
r.raise_for_status()
|
||||
|
||||
return r.json()
|
||||
@@ -590,7 +595,7 @@ async def generate_embeddings(
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
except Exception:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
@@ -603,10 +608,9 @@ def generate_ollama_embeddings(
|
||||
form_data: GenerateEmbeddingsForm,
|
||||
url_idx: Optional[int] = None,
|
||||
):
|
||||
|
||||
log.info(f"generate_ollama_embeddings {form_data}")
|
||||
|
||||
if url_idx == None:
|
||||
if url_idx is None:
|
||||
model = form_data.model
|
||||
|
||||
if ":" not in model:
|
||||
@@ -623,12 +627,13 @@ def generate_ollama_embeddings(
|
||||
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
log.info(f"url: {url}")
|
||||
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/embeddings",
|
||||
headers={"Content-Type": "application/json"},
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
try:
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/embeddings",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
r.raise_for_status()
|
||||
|
||||
data = r.json()
|
||||
@@ -638,7 +643,7 @@ def generate_ollama_embeddings(
|
||||
if "embedding" in data:
|
||||
return data["embedding"]
|
||||
else:
|
||||
raise "Something went wrong :/"
|
||||
raise Exception("Something went wrong :/")
|
||||
except Exception as e:
|
||||
log.exception(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
@@ -647,16 +652,16 @@ def generate_ollama_embeddings(
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
except Exception:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise error_detail
|
||||
raise Exception(error_detail)
|
||||
|
||||
|
||||
class GenerateCompletionForm(BaseModel):
|
||||
model: str
|
||||
prompt: str
|
||||
images: Optional[List[str]] = None
|
||||
images: Optional[list[str]] = None
|
||||
format: Optional[str] = None
|
||||
options: Optional[dict] = None
|
||||
system: Optional[str] = None
|
||||
@@ -674,8 +679,7 @@ async def generate_completion(
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_verified_user),
|
||||
):
|
||||
|
||||
if url_idx == None:
|
||||
if url_idx is None:
|
||||
model = form_data.model
|
||||
|
||||
if ":" not in model:
|
||||
@@ -700,12 +704,12 @@ async def generate_completion(
|
||||
class ChatMessage(BaseModel):
|
||||
role: str
|
||||
content: str
|
||||
images: Optional[List[str]] = None
|
||||
images: Optional[list[str]] = None
|
||||
|
||||
|
||||
class GenerateChatCompletionForm(BaseModel):
|
||||
model: str
|
||||
messages: List[ChatMessage]
|
||||
messages: list[ChatMessage]
|
||||
format: Optional[str] = None
|
||||
options: Optional[dict] = None
|
||||
template: Optional[str] = None
|
||||
@@ -713,6 +717,18 @@ class GenerateChatCompletionForm(BaseModel):
|
||||
keep_alive: Optional[Union[int, str]] = None
|
||||
|
||||
|
||||
def get_ollama_url(url_idx: Optional[int], model: str):
|
||||
if url_idx is None:
|
||||
if model not in app.state.MODELS:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(model),
|
||||
)
|
||||
url_idx = random.choice(app.state.MODELS[model]["urls"])
|
||||
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
return url
|
||||
|
||||
|
||||
@app.post("/api/chat")
|
||||
@app.post("/api/chat/{url_idx}")
|
||||
async def generate_chat_completion(
|
||||
@@ -720,209 +736,47 @@ async def generate_chat_completion(
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_verified_user),
|
||||
):
|
||||
|
||||
log.debug(
|
||||
"form_data.model_dump_json(exclude_none=True).encode(): {0} ".format(
|
||||
form_data.model_dump_json(exclude_none=True).encode()
|
||||
)
|
||||
)
|
||||
|
||||
payload = {
|
||||
**form_data.model_dump(exclude_none=True, exclude=["metadata"]),
|
||||
}
|
||||
payload = {**form_data.model_dump(exclude_none=True)}
|
||||
log.debug(f"{payload = }")
|
||||
if "metadata" in payload:
|
||||
del payload["metadata"]
|
||||
|
||||
model_id = form_data.model
|
||||
|
||||
if app.state.config.ENABLE_MODEL_FILTER:
|
||||
if user.role == "user" and model_id not in app.state.config.MODEL_FILTER_LIST:
|
||||
raise HTTPException(
|
||||
status_code=403,
|
||||
detail="Model not found",
|
||||
)
|
||||
|
||||
model_info = Models.get_model_by_id(model_id)
|
||||
|
||||
if model_info:
|
||||
if model_info.base_model_id:
|
||||
payload["model"] = model_info.base_model_id
|
||||
|
||||
model_info.params = model_info.params.model_dump()
|
||||
params = model_info.params.model_dump()
|
||||
|
||||
if model_info.params:
|
||||
if params:
|
||||
if payload.get("options") is None:
|
||||
payload["options"] = {}
|
||||
|
||||
if (
|
||||
model_info.params.get("mirostat", None)
|
||||
and payload["options"].get("mirostat") is None
|
||||
):
|
||||
payload["options"]["mirostat"] = model_info.params.get("mirostat", None)
|
||||
|
||||
if (
|
||||
model_info.params.get("mirostat_eta", None)
|
||||
and payload["options"].get("mirostat_eta") is None
|
||||
):
|
||||
payload["options"]["mirostat_eta"] = model_info.params.get(
|
||||
"mirostat_eta", None
|
||||
)
|
||||
|
||||
if (
|
||||
model_info.params.get("mirostat_tau", None)
|
||||
and payload["options"].get("mirostat_tau") is None
|
||||
):
|
||||
payload["options"]["mirostat_tau"] = model_info.params.get(
|
||||
"mirostat_tau", None
|
||||
)
|
||||
|
||||
if (
|
||||
model_info.params.get("num_ctx", None)
|
||||
and payload["options"].get("num_ctx") is None
|
||||
):
|
||||
payload["options"]["num_ctx"] = model_info.params.get("num_ctx", None)
|
||||
|
||||
if (
|
||||
model_info.params.get("num_batch", None)
|
||||
and payload["options"].get("num_batch") is None
|
||||
):
|
||||
payload["options"]["num_batch"] = model_info.params.get(
|
||||
"num_batch", None
|
||||
)
|
||||
|
||||
if (
|
||||
model_info.params.get("num_keep", None)
|
||||
and payload["options"].get("num_keep") is None
|
||||
):
|
||||
payload["options"]["num_keep"] = model_info.params.get("num_keep", None)
|
||||
|
||||
if (
|
||||
model_info.params.get("repeat_last_n", None)
|
||||
and payload["options"].get("repeat_last_n") is None
|
||||
):
|
||||
payload["options"]["repeat_last_n"] = model_info.params.get(
|
||||
"repeat_last_n", None
|
||||
)
|
||||
|
||||
if (
|
||||
model_info.params.get("frequency_penalty", None)
|
||||
and payload["options"].get("frequency_penalty") is None
|
||||
):
|
||||
payload["options"]["repeat_penalty"] = model_info.params.get(
|
||||
"frequency_penalty", None
|
||||
)
|
||||
|
||||
if (
|
||||
model_info.params.get("temperature", None) is not None
|
||||
and payload["options"].get("temperature") is None
|
||||
):
|
||||
payload["options"]["temperature"] = model_info.params.get(
|
||||
"temperature", None
|
||||
)
|
||||
|
||||
if (
|
||||
model_info.params.get("seed", None) is not None
|
||||
and payload["options"].get("seed") is None
|
||||
):
|
||||
payload["options"]["seed"] = model_info.params.get("seed", None)
|
||||
|
||||
if (
|
||||
model_info.params.get("stop", None)
|
||||
and payload["options"].get("stop") is None
|
||||
):
|
||||
payload["options"]["stop"] = (
|
||||
[
|
||||
bytes(stop, "utf-8").decode("unicode_escape")
|
||||
for stop in model_info.params["stop"]
|
||||
]
|
||||
if model_info.params.get("stop", None)
|
||||
else None
|
||||
)
|
||||
|
||||
if (
|
||||
model_info.params.get("tfs_z", None)
|
||||
and payload["options"].get("tfs_z") is None
|
||||
):
|
||||
payload["options"]["tfs_z"] = model_info.params.get("tfs_z", None)
|
||||
|
||||
if (
|
||||
model_info.params.get("max_tokens", None)
|
||||
and payload["options"].get("max_tokens") is None
|
||||
):
|
||||
payload["options"]["num_predict"] = model_info.params.get(
|
||||
"max_tokens", None
|
||||
)
|
||||
|
||||
if (
|
||||
model_info.params.get("top_k", None)
|
||||
and payload["options"].get("top_k") is None
|
||||
):
|
||||
payload["options"]["top_k"] = model_info.params.get("top_k", None)
|
||||
|
||||
if (
|
||||
model_info.params.get("top_p", None)
|
||||
and payload["options"].get("top_p") is None
|
||||
):
|
||||
payload["options"]["top_p"] = model_info.params.get("top_p", None)
|
||||
|
||||
if (
|
||||
model_info.params.get("min_p", None)
|
||||
and payload["options"].get("min_p") is None
|
||||
):
|
||||
payload["options"]["min_p"] = model_info.params.get("min_p", None)
|
||||
|
||||
if (
|
||||
model_info.params.get("use_mmap", None)
|
||||
and payload["options"].get("use_mmap") is None
|
||||
):
|
||||
payload["options"]["use_mmap"] = model_info.params.get("use_mmap", None)
|
||||
|
||||
if (
|
||||
model_info.params.get("use_mlock", None)
|
||||
and payload["options"].get("use_mlock") is None
|
||||
):
|
||||
payload["options"]["use_mlock"] = model_info.params.get(
|
||||
"use_mlock", None
|
||||
)
|
||||
|
||||
if (
|
||||
model_info.params.get("num_thread", None)
|
||||
and payload["options"].get("num_thread") is None
|
||||
):
|
||||
payload["options"]["num_thread"] = model_info.params.get(
|
||||
"num_thread", None
|
||||
)
|
||||
|
||||
system = model_info.params.get("system", None)
|
||||
if system:
|
||||
system = prompt_template(
|
||||
system,
|
||||
**(
|
||||
{
|
||||
"user_name": user.name,
|
||||
"user_location": (
|
||||
user.info.get("location") if user.info else None
|
||||
),
|
||||
}
|
||||
if user
|
||||
else {}
|
||||
),
|
||||
payload["options"] = apply_model_params_to_body_ollama(
|
||||
params, payload["options"]
|
||||
)
|
||||
payload = apply_model_system_prompt_to_body(params, payload, user)
|
||||
|
||||
if payload.get("messages"):
|
||||
payload["messages"] = add_or_update_system_message(
|
||||
system, payload["messages"]
|
||||
)
|
||||
if ":" not in payload["model"]:
|
||||
payload["model"] = f"{payload['model']}:latest"
|
||||
|
||||
if url_idx == None:
|
||||
if ":" not in payload["model"]:
|
||||
payload["model"] = f"{payload['model']}:latest"
|
||||
|
||||
if payload["model"] in app.state.MODELS:
|
||||
url_idx = random.choice(app.state.MODELS[payload["model"]]["urls"])
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
|
||||
)
|
||||
|
||||
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
url = get_ollama_url(url_idx, payload["model"])
|
||||
log.info(f"url: {url}")
|
||||
log.debug(payload)
|
||||
|
||||
return await post_streaming_url(f"{url}/api/chat", json.dumps(payload))
|
||||
return await post_streaming_url(
|
||||
f"{url}/api/chat", json.dumps(payload), content_type="application/x-ndjson"
|
||||
)
|
||||
|
||||
|
||||
# TODO: we should update this part once Ollama supports other types
|
||||
@@ -940,7 +794,7 @@ class OpenAIChatMessage(BaseModel):
|
||||
|
||||
class OpenAIChatCompletionForm(BaseModel):
|
||||
model: str
|
||||
messages: List[OpenAIChatMessage]
|
||||
messages: list[OpenAIChatMessage]
|
||||
|
||||
model_config = ConfigDict(extra="allow")
|
||||
|
||||
@@ -952,83 +806,36 @@ async def generate_openai_chat_completion(
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_verified_user),
|
||||
):
|
||||
form_data = OpenAIChatCompletionForm(**form_data)
|
||||
payload = {**form_data.model_dump(exclude_none=True, exclude=["metadata"])}
|
||||
|
||||
completion_form = OpenAIChatCompletionForm(**form_data)
|
||||
payload = {**completion_form.model_dump(exclude_none=True, exclude=["metadata"])}
|
||||
if "metadata" in payload:
|
||||
del payload["metadata"]
|
||||
|
||||
model_id = form_data.model
|
||||
model_id = completion_form.model
|
||||
|
||||
if app.state.config.ENABLE_MODEL_FILTER:
|
||||
if user.role == "user" and model_id not in app.state.config.MODEL_FILTER_LIST:
|
||||
raise HTTPException(
|
||||
status_code=403,
|
||||
detail="Model not found",
|
||||
)
|
||||
|
||||
model_info = Models.get_model_by_id(model_id)
|
||||
|
||||
if model_info:
|
||||
if model_info.base_model_id:
|
||||
payload["model"] = model_info.base_model_id
|
||||
|
||||
model_info.params = model_info.params.model_dump()
|
||||
params = model_info.params.model_dump()
|
||||
|
||||
if model_info.params:
|
||||
payload["temperature"] = model_info.params.get("temperature", None)
|
||||
payload["top_p"] = model_info.params.get("top_p", None)
|
||||
payload["max_tokens"] = model_info.params.get("max_tokens", None)
|
||||
payload["frequency_penalty"] = model_info.params.get(
|
||||
"frequency_penalty", None
|
||||
)
|
||||
payload["seed"] = model_info.params.get("seed", None)
|
||||
payload["stop"] = (
|
||||
[
|
||||
bytes(stop, "utf-8").decode("unicode_escape")
|
||||
for stop in model_info.params["stop"]
|
||||
]
|
||||
if model_info.params.get("stop", None)
|
||||
else None
|
||||
)
|
||||
if params:
|
||||
payload = apply_model_params_to_body_openai(params, payload)
|
||||
payload = apply_model_system_prompt_to_body(params, payload, user)
|
||||
|
||||
system = model_info.params.get("system", None)
|
||||
if ":" not in payload["model"]:
|
||||
payload["model"] = f"{payload['model']}:latest"
|
||||
|
||||
if system:
|
||||
system = prompt_template(
|
||||
system,
|
||||
**(
|
||||
{
|
||||
"user_name": user.name,
|
||||
"user_location": (
|
||||
user.info.get("location") if user.info else None
|
||||
),
|
||||
}
|
||||
if user
|
||||
else {}
|
||||
),
|
||||
)
|
||||
# Check if the payload already has a system message
|
||||
# If not, add a system message to the payload
|
||||
if payload.get("messages"):
|
||||
for message in payload["messages"]:
|
||||
if message.get("role") == "system":
|
||||
message["content"] = system + message["content"]
|
||||
break
|
||||
else:
|
||||
payload["messages"].insert(
|
||||
0,
|
||||
{
|
||||
"role": "system",
|
||||
"content": system,
|
||||
},
|
||||
)
|
||||
|
||||
if url_idx == None:
|
||||
if ":" not in payload["model"]:
|
||||
payload["model"] = f"{payload['model']}:latest"
|
||||
|
||||
if payload["model"] in app.state.MODELS:
|
||||
url_idx = random.choice(app.state.MODELS[payload["model"]]["urls"])
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
|
||||
)
|
||||
|
||||
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
url = get_ollama_url(url_idx, payload["model"])
|
||||
log.info(f"url: {url}")
|
||||
|
||||
return await post_streaming_url(
|
||||
@@ -1044,7 +851,7 @@ async def get_openai_models(
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_verified_user),
|
||||
):
|
||||
if url_idx == None:
|
||||
if url_idx is None:
|
||||
models = await get_all_models()
|
||||
|
||||
if app.state.config.ENABLE_MODEL_FILTER:
|
||||
@@ -1099,7 +906,7 @@ async def get_openai_models(
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
except Exception:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
@@ -1125,7 +932,6 @@ def parse_huggingface_url(hf_url):
|
||||
path_components = parsed_url.path.split("/")
|
||||
|
||||
# Extract the desired output
|
||||
user_repo = "/".join(path_components[1:3])
|
||||
model_file = path_components[-1]
|
||||
|
||||
return model_file
|
||||
@@ -1190,7 +996,6 @@ async def download_model(
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_admin_user),
|
||||
):
|
||||
|
||||
allowed_hosts = ["https://huggingface.co/", "https://github.com/"]
|
||||
|
||||
if not any(form_data.url.startswith(host) for host in allowed_hosts):
|
||||
@@ -1199,7 +1004,7 @@ async def download_model(
|
||||
detail="Invalid file_url. Only URLs from allowed hosts are permitted.",
|
||||
)
|
||||
|
||||
if url_idx == None:
|
||||
if url_idx is None:
|
||||
url_idx = 0
|
||||
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
|
||||
@@ -1222,7 +1027,7 @@ def upload_model(
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_admin_user),
|
||||
):
|
||||
if url_idx == None:
|
||||
if url_idx is None:
|
||||
url_idx = 0
|
||||
ollama_url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
||||
|
||||
|
||||
@@ -17,7 +17,10 @@ from utils.utils import (
|
||||
get_verified_user,
|
||||
get_admin_user,
|
||||
)
|
||||
from utils.misc import apply_model_params_to_body, apply_model_system_prompt_to_body
|
||||
from utils.misc import (
|
||||
apply_model_params_to_body_openai,
|
||||
apply_model_system_prompt_to_body,
|
||||
)
|
||||
|
||||
from config import (
|
||||
SRC_LOG_LEVELS,
|
||||
@@ -29,8 +32,9 @@ from config import (
|
||||
ENABLE_MODEL_FILTER,
|
||||
MODEL_FILTER_LIST,
|
||||
AppConfig,
|
||||
CORS_ALLOW_ORIGIN,
|
||||
)
|
||||
from typing import List, Optional, Literal, overload
|
||||
from typing import Optional, Literal, overload
|
||||
|
||||
|
||||
import hashlib
|
||||
@@ -42,7 +46,7 @@ log.setLevel(SRC_LOG_LEVELS["OPENAI"])
|
||||
app = FastAPI()
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"],
|
||||
allow_origins=CORS_ALLOW_ORIGIN,
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
@@ -86,11 +90,11 @@ async def update_config(form_data: OpenAIConfigForm, user=Depends(get_admin_user
|
||||
|
||||
|
||||
class UrlsUpdateForm(BaseModel):
|
||||
urls: List[str]
|
||||
urls: list[str]
|
||||
|
||||
|
||||
class KeysUpdateForm(BaseModel):
|
||||
keys: List[str]
|
||||
keys: list[str]
|
||||
|
||||
|
||||
@app.get("/urls")
|
||||
@@ -356,7 +360,9 @@ async def generate_chat_completion(
|
||||
):
|
||||
idx = 0
|
||||
payload = {**form_data}
|
||||
payload.pop("metadata")
|
||||
|
||||
if "metadata" in payload:
|
||||
del payload["metadata"]
|
||||
|
||||
model_id = form_data.get("model")
|
||||
model_info = Models.get_model_by_id(model_id)
|
||||
@@ -366,7 +372,7 @@ async def generate_chat_completion(
|
||||
payload["model"] = model_info.base_model_id
|
||||
|
||||
params = model_info.params.model_dump()
|
||||
payload = apply_model_params_to_body(params, payload)
|
||||
payload = apply_model_params_to_body_openai(params, payload)
|
||||
payload = apply_model_system_prompt_to_body(params, payload, user)
|
||||
|
||||
model = app.state.MODELS[payload.get("model")]
|
||||
|
||||
+37
-16
@@ -13,7 +13,7 @@ import os, shutil, logging, re
|
||||
from datetime import datetime
|
||||
|
||||
from pathlib import Path
|
||||
from typing import List, Union, Sequence, Iterator, Any
|
||||
from typing import Union, Sequence, Iterator, Any
|
||||
|
||||
from chromadb.utils.batch_utils import create_batches
|
||||
from langchain_core.documents import Document
|
||||
@@ -95,6 +95,8 @@ from config import (
|
||||
TIKA_SERVER_URL,
|
||||
RAG_TOP_K,
|
||||
RAG_RELEVANCE_THRESHOLD,
|
||||
RAG_FILE_MAX_SIZE,
|
||||
RAG_FILE_MAX_COUNT,
|
||||
RAG_EMBEDDING_ENGINE,
|
||||
RAG_EMBEDDING_MODEL,
|
||||
RAG_EMBEDDING_MODEL_AUTO_UPDATE,
|
||||
@@ -129,6 +131,7 @@ from config import (
|
||||
RAG_WEB_SEARCH_RESULT_COUNT,
|
||||
RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
|
||||
RAG_EMBEDDING_OPENAI_BATCH_SIZE,
|
||||
CORS_ALLOW_ORIGIN,
|
||||
)
|
||||
|
||||
from constants import ERROR_MESSAGES
|
||||
@@ -142,6 +145,8 @@ app.state.config = AppConfig()
|
||||
|
||||
app.state.config.TOP_K = RAG_TOP_K
|
||||
app.state.config.RELEVANCE_THRESHOLD = RAG_RELEVANCE_THRESHOLD
|
||||
app.state.config.FILE_MAX_SIZE = RAG_FILE_MAX_SIZE
|
||||
app.state.config.FILE_MAX_COUNT = RAG_FILE_MAX_COUNT
|
||||
|
||||
app.state.config.ENABLE_RAG_HYBRID_SEARCH = ENABLE_RAG_HYBRID_SEARCH
|
||||
app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION = (
|
||||
@@ -240,12 +245,9 @@ app.state.EMBEDDING_FUNCTION = get_embedding_function(
|
||||
app.state.config.RAG_EMBEDDING_OPENAI_BATCH_SIZE,
|
||||
)
|
||||
|
||||
origins = ["*"]
|
||||
|
||||
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=origins,
|
||||
allow_origins=CORS_ALLOW_ORIGIN,
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
@@ -376,7 +378,7 @@ async def update_reranking_config(
|
||||
try:
|
||||
app.state.config.RAG_RERANKING_MODEL = form_data.reranking_model
|
||||
|
||||
update_reranking_model(app.state.config.RAG_RERANKING_MODEL), True
|
||||
update_reranking_model(app.state.config.RAG_RERANKING_MODEL, True)
|
||||
|
||||
return {
|
||||
"status": True,
|
||||
@@ -395,6 +397,10 @@ async def get_rag_config(user=Depends(get_admin_user)):
|
||||
return {
|
||||
"status": True,
|
||||
"pdf_extract_images": app.state.config.PDF_EXTRACT_IMAGES,
|
||||
"file": {
|
||||
"max_size": app.state.config.FILE_MAX_SIZE,
|
||||
"max_count": app.state.config.FILE_MAX_COUNT,
|
||||
},
|
||||
"content_extraction": {
|
||||
"engine": app.state.config.CONTENT_EXTRACTION_ENGINE,
|
||||
"tika_server_url": app.state.config.TIKA_SERVER_URL,
|
||||
@@ -428,6 +434,11 @@ async def get_rag_config(user=Depends(get_admin_user)):
|
||||
}
|
||||
|
||||
|
||||
class FileConfig(BaseModel):
|
||||
max_size: Optional[int] = None
|
||||
max_count: Optional[int] = None
|
||||
|
||||
|
||||
class ContentExtractionConfig(BaseModel):
|
||||
engine: str = ""
|
||||
tika_server_url: Optional[str] = None
|
||||
@@ -439,7 +450,7 @@ class ChunkParamUpdateForm(BaseModel):
|
||||
|
||||
|
||||
class YoutubeLoaderConfig(BaseModel):
|
||||
language: List[str]
|
||||
language: list[str]
|
||||
translation: Optional[str] = None
|
||||
|
||||
|
||||
@@ -466,6 +477,7 @@ class WebConfig(BaseModel):
|
||||
|
||||
class ConfigUpdateForm(BaseModel):
|
||||
pdf_extract_images: Optional[bool] = None
|
||||
file: Optional[FileConfig] = None
|
||||
content_extraction: Optional[ContentExtractionConfig] = None
|
||||
chunk: Optional[ChunkParamUpdateForm] = None
|
||||
youtube: Optional[YoutubeLoaderConfig] = None
|
||||
@@ -480,6 +492,10 @@ async def update_rag_config(form_data: ConfigUpdateForm, user=Depends(get_admin_
|
||||
else app.state.config.PDF_EXTRACT_IMAGES
|
||||
)
|
||||
|
||||
if form_data.file is not None:
|
||||
app.state.config.FILE_MAX_SIZE = form_data.file.max_size
|
||||
app.state.config.FILE_MAX_COUNT = form_data.file.max_count
|
||||
|
||||
if form_data.content_extraction is not None:
|
||||
log.info(f"Updating text settings: {form_data.content_extraction}")
|
||||
app.state.config.CONTENT_EXTRACTION_ENGINE = form_data.content_extraction.engine
|
||||
@@ -521,6 +537,10 @@ async def update_rag_config(form_data: ConfigUpdateForm, user=Depends(get_admin_
|
||||
return {
|
||||
"status": True,
|
||||
"pdf_extract_images": app.state.config.PDF_EXTRACT_IMAGES,
|
||||
"file": {
|
||||
"max_size": app.state.config.FILE_MAX_SIZE,
|
||||
"max_count": app.state.config.FILE_MAX_COUNT,
|
||||
},
|
||||
"content_extraction": {
|
||||
"engine": app.state.config.CONTENT_EXTRACTION_ENGINE,
|
||||
"tika_server_url": app.state.config.TIKA_SERVER_URL,
|
||||
@@ -592,6 +612,7 @@ async def update_query_settings(
|
||||
app.state.config.ENABLE_RAG_HYBRID_SEARCH = (
|
||||
form_data.hybrid if form_data.hybrid else False
|
||||
)
|
||||
|
||||
return {
|
||||
"status": True,
|
||||
"template": app.state.config.RAG_TEMPLATE,
|
||||
@@ -642,7 +663,7 @@ def query_doc_handler(
|
||||
|
||||
|
||||
class QueryCollectionsForm(BaseModel):
|
||||
collection_names: List[str]
|
||||
collection_names: list[str]
|
||||
query: str
|
||||
k: Optional[int] = None
|
||||
r: Optional[float] = None
|
||||
@@ -1021,7 +1042,7 @@ class TikaLoader:
|
||||
self.file_path = file_path
|
||||
self.mime_type = mime_type
|
||||
|
||||
def load(self) -> List[Document]:
|
||||
def load(self) -> list[Document]:
|
||||
with open(self.file_path, "rb") as f:
|
||||
data = f.read()
|
||||
|
||||
@@ -1185,7 +1206,7 @@ def store_doc(
|
||||
f.close()
|
||||
|
||||
f = open(file_path, "rb")
|
||||
if collection_name == None:
|
||||
if collection_name is None:
|
||||
collection_name = calculate_sha256(f)[:63]
|
||||
f.close()
|
||||
|
||||
@@ -1238,7 +1259,7 @@ def process_doc(
|
||||
f = open(file_path, "rb")
|
||||
|
||||
collection_name = form_data.collection_name
|
||||
if collection_name == None:
|
||||
if collection_name is None:
|
||||
collection_name = calculate_sha256(f)[:63]
|
||||
f.close()
|
||||
|
||||
@@ -1296,7 +1317,7 @@ def store_text(
|
||||
):
|
||||
|
||||
collection_name = form_data.collection_name
|
||||
if collection_name == None:
|
||||
if collection_name is None:
|
||||
collection_name = calculate_sha256_string(form_data.content)
|
||||
|
||||
result = store_text_in_vector_db(
|
||||
@@ -1339,7 +1360,7 @@ def scan_docs_dir(user=Depends(get_admin_user)):
|
||||
sanitized_filename = sanitize_filename(filename)
|
||||
doc = Documents.get_doc_by_name(sanitized_filename)
|
||||
|
||||
if doc == None:
|
||||
if doc is None:
|
||||
doc = Documents.insert_new_doc(
|
||||
user.id,
|
||||
DocumentForm(
|
||||
@@ -1375,12 +1396,12 @@ def scan_docs_dir(user=Depends(get_admin_user)):
|
||||
return True
|
||||
|
||||
|
||||
@app.get("/reset/db")
|
||||
@app.post("/reset/db")
|
||||
def reset_vector_db(user=Depends(get_admin_user)):
|
||||
CHROMA_CLIENT.reset()
|
||||
|
||||
|
||||
@app.get("/reset/uploads")
|
||||
@app.post("/reset/uploads")
|
||||
def reset_upload_dir(user=Depends(get_admin_user)) -> bool:
|
||||
folder = f"{UPLOAD_DIR}"
|
||||
try:
|
||||
@@ -1404,7 +1425,7 @@ def reset_upload_dir(user=Depends(get_admin_user)) -> bool:
|
||||
return True
|
||||
|
||||
|
||||
@app.get("/reset")
|
||||
@app.post("/reset")
|
||||
def reset(user=Depends(get_admin_user)) -> bool:
|
||||
folder = f"{UPLOAD_DIR}"
|
||||
for filename in os.listdir(folder):
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import logging
|
||||
from typing import List, Optional
|
||||
from typing import Optional
|
||||
import requests
|
||||
|
||||
from apps.rag.search.main import SearchResult, get_filtered_results
|
||||
@@ -10,7 +10,7 @@ log.setLevel(SRC_LOG_LEVELS["RAG"])
|
||||
|
||||
|
||||
def search_brave(
|
||||
api_key: str, query: str, count: int, filter_list: Optional[List[str]] = None
|
||||
api_key: str, query: str, count: int, filter_list: Optional[list[str]] = None
|
||||
) -> list[SearchResult]:
|
||||
"""Search using Brave's Search API and return the results as a list of SearchResult objects.
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import logging
|
||||
from typing import List, Optional
|
||||
from typing import Optional
|
||||
from apps.rag.search.main import SearchResult, get_filtered_results
|
||||
from duckduckgo_search import DDGS
|
||||
from config import SRC_LOG_LEVELS
|
||||
@@ -9,7 +9,7 @@ log.setLevel(SRC_LOG_LEVELS["RAG"])
|
||||
|
||||
|
||||
def search_duckduckgo(
|
||||
query: str, count: int, filter_list: Optional[List[str]] = None
|
||||
query: str, count: int, filter_list: Optional[list[str]] = None
|
||||
) -> list[SearchResult]:
|
||||
"""
|
||||
Search using DuckDuckGo's Search API and return the results as a list of SearchResult objects.
|
||||
@@ -18,7 +18,7 @@ def search_duckduckgo(
|
||||
count (int): The number of results to return
|
||||
|
||||
Returns:
|
||||
List[SearchResult]: A list of search results
|
||||
list[SearchResult]: A list of search results
|
||||
"""
|
||||
# Use the DDGS context manager to create a DDGS object
|
||||
with DDGS() as ddgs:
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import json
|
||||
import logging
|
||||
from typing import List, Optional
|
||||
from typing import Optional
|
||||
import requests
|
||||
|
||||
from apps.rag.search.main import SearchResult, get_filtered_results
|
||||
@@ -15,7 +15,7 @@ def search_google_pse(
|
||||
search_engine_id: str,
|
||||
query: str,
|
||||
count: int,
|
||||
filter_list: Optional[List[str]] = None,
|
||||
filter_list: Optional[list[str]] = None,
|
||||
) -> list[SearchResult]:
|
||||
"""Search using Google's Programmable Search Engine API and return the results as a list of SearchResult objects.
|
||||
|
||||
|
||||
@@ -17,7 +17,7 @@ def search_jina(query: str, count: int) -> list[SearchResult]:
|
||||
count (int): The number of results to return
|
||||
|
||||
Returns:
|
||||
List[SearchResult]: A list of search results
|
||||
list[SearchResult]: A list of search results
|
||||
"""
|
||||
jina_search_endpoint = "https://s.jina.ai/"
|
||||
headers = {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import logging
|
||||
import requests
|
||||
|
||||
from typing import List, Optional
|
||||
from typing import Optional
|
||||
|
||||
from apps.rag.search.main import SearchResult, get_filtered_results
|
||||
from config import SRC_LOG_LEVELS
|
||||
@@ -14,9 +14,9 @@ def search_searxng(
|
||||
query_url: str,
|
||||
query: str,
|
||||
count: int,
|
||||
filter_list: Optional[List[str]] = None,
|
||||
filter_list: Optional[list[str]] = None,
|
||||
**kwargs,
|
||||
) -> List[SearchResult]:
|
||||
) -> list[SearchResult]:
|
||||
"""
|
||||
Search a SearXNG instance for a given query and return the results as a list of SearchResult objects.
|
||||
|
||||
@@ -31,10 +31,10 @@ def search_searxng(
|
||||
language (str): Language filter for the search results; e.g., "en-US". Defaults to an empty string.
|
||||
safesearch (int): Safe search filter for safer web results; 0 = off, 1 = moderate, 2 = strict. Defaults to 1 (moderate).
|
||||
time_range (str): Time range for filtering results by date; e.g., "2023-04-05..today" or "all-time". Defaults to ''.
|
||||
categories: (Optional[List[str]]): Specific categories within which the search should be performed, defaulting to an empty string if not provided.
|
||||
categories: (Optional[list[str]]): Specific categories within which the search should be performed, defaulting to an empty string if not provided.
|
||||
|
||||
Returns:
|
||||
List[SearchResult]: A list of SearchResults sorted by relevance score in descending order.
|
||||
list[SearchResult]: A list of SearchResults sorted by relevance score in descending order.
|
||||
|
||||
Raise:
|
||||
requests.exceptions.RequestException: If a request error occurs during the search process.
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import json
|
||||
import logging
|
||||
from typing import List, Optional
|
||||
from typing import Optional
|
||||
import requests
|
||||
|
||||
from apps.rag.search.main import SearchResult, get_filtered_results
|
||||
@@ -11,7 +11,7 @@ log.setLevel(SRC_LOG_LEVELS["RAG"])
|
||||
|
||||
|
||||
def search_serper(
|
||||
api_key: str, query: str, count: int, filter_list: Optional[List[str]] = None
|
||||
api_key: str, query: str, count: int, filter_list: Optional[list[str]] = None
|
||||
) -> list[SearchResult]:
|
||||
"""Search using serper.dev's API and return the results as a list of SearchResult objects.
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import json
|
||||
import logging
|
||||
from typing import List, Optional
|
||||
from typing import Optional
|
||||
import requests
|
||||
from urllib.parse import urlencode
|
||||
|
||||
@@ -19,7 +19,7 @@ def search_serply(
|
||||
limit: int = 10,
|
||||
device_type: str = "desktop",
|
||||
proxy_location: str = "US",
|
||||
filter_list: Optional[List[str]] = None,
|
||||
filter_list: Optional[list[str]] = None,
|
||||
) -> list[SearchResult]:
|
||||
"""Search using serper.dev's API and return the results as a list of SearchResult objects.
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import json
|
||||
import logging
|
||||
from typing import List, Optional
|
||||
from typing import Optional
|
||||
import requests
|
||||
|
||||
from apps.rag.search.main import SearchResult, get_filtered_results
|
||||
@@ -14,7 +14,7 @@ def search_serpstack(
|
||||
api_key: str,
|
||||
query: str,
|
||||
count: int,
|
||||
filter_list: Optional[List[str]] = None,
|
||||
filter_list: Optional[list[str]] = None,
|
||||
https_enabled: bool = True,
|
||||
) -> list[SearchResult]:
|
||||
"""Search using serpstack.com's and return the results as a list of SearchResult objects.
|
||||
|
||||
@@ -17,7 +17,7 @@ def search_tavily(api_key: str, query: str, count: int) -> list[SearchResult]:
|
||||
query (str): The query to search for
|
||||
|
||||
Returns:
|
||||
List[SearchResult]: A list of search results
|
||||
list[SearchResult]: A list of search results
|
||||
"""
|
||||
url = "https://api.tavily.com/search"
|
||||
data = {"query": query, "api_key": api_key}
|
||||
|
||||
+19
-15
@@ -2,7 +2,7 @@ import os
|
||||
import logging
|
||||
import requests
|
||||
|
||||
from typing import List, Union
|
||||
from typing import Union
|
||||
|
||||
from apps.ollama.main import (
|
||||
generate_ollama_embeddings,
|
||||
@@ -142,28 +142,32 @@ def merge_and_sort_query_results(query_results, k, reverse=False):
|
||||
|
||||
|
||||
def query_collection(
|
||||
collection_names: List[str],
|
||||
collection_names: list[str],
|
||||
query: str,
|
||||
embedding_function,
|
||||
k: int,
|
||||
):
|
||||
results = []
|
||||
for collection_name in collection_names:
|
||||
try:
|
||||
result = query_doc(
|
||||
collection_name=collection_name,
|
||||
query=query,
|
||||
k=k,
|
||||
embedding_function=embedding_function,
|
||||
)
|
||||
results.append(result)
|
||||
except:
|
||||
if collection_name:
|
||||
try:
|
||||
result = query_doc(
|
||||
collection_name=collection_name,
|
||||
query=query,
|
||||
k=k,
|
||||
embedding_function=embedding_function,
|
||||
)
|
||||
results.append(result)
|
||||
except Exception:
|
||||
pass
|
||||
else:
|
||||
pass
|
||||
|
||||
return merge_and_sort_query_results(results, k=k)
|
||||
|
||||
|
||||
def query_collection_with_hybrid_search(
|
||||
collection_names: List[str],
|
||||
collection_names: list[str],
|
||||
query: str,
|
||||
embedding_function,
|
||||
k: int,
|
||||
@@ -182,7 +186,7 @@ def query_collection_with_hybrid_search(
|
||||
r=r,
|
||||
)
|
||||
results.append(result)
|
||||
except:
|
||||
except Exception:
|
||||
pass
|
||||
return merge_and_sort_query_results(results, k=k, reverse=True)
|
||||
|
||||
@@ -257,7 +261,7 @@ def get_rag_context(
|
||||
collection_names = (
|
||||
file["collection_names"]
|
||||
if file["type"] == "collection"
|
||||
else [file["collection_name"]]
|
||||
else [file["collection_name"]] if file["collection_name"] else []
|
||||
)
|
||||
|
||||
collection_names = set(collection_names).difference(extracted_collections)
|
||||
@@ -411,7 +415,7 @@ class ChromaRetriever(BaseRetriever):
|
||||
query: str,
|
||||
*,
|
||||
run_manager: CallbackManagerForRetrieverRun,
|
||||
) -> List[Document]:
|
||||
) -> list[Document]:
|
||||
query_embeddings = self.embedding_function(query)
|
||||
|
||||
results = self.collection.query(
|
||||
|
||||
@@ -3,18 +3,19 @@ import logging
|
||||
import json
|
||||
from contextlib import contextmanager
|
||||
|
||||
from peewee_migrate import Router
|
||||
from apps.webui.internal.wrappers import register_connection
|
||||
|
||||
from typing import Optional, Any
|
||||
from typing_extensions import Self
|
||||
|
||||
from sqlalchemy import create_engine, types, Dialect
|
||||
from sqlalchemy.sql.type_api import _T
|
||||
from sqlalchemy.ext.declarative import declarative_base
|
||||
from sqlalchemy.orm import sessionmaker, scoped_session
|
||||
from sqlalchemy.sql.type_api import _T
|
||||
|
||||
from config import SRC_LOG_LEVELS, DATA_DIR, DATABASE_URL, BACKEND_DIR
|
||||
|
||||
from peewee_migrate import Router
|
||||
from apps.webui.internal.wrappers import register_connection
|
||||
from env import SRC_LOG_LEVELS, BACKEND_DIR, DATABASE_URL
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["DB"])
|
||||
@@ -42,34 +43,21 @@ class JSONField(types.TypeDecorator):
|
||||
return json.loads(value)
|
||||
|
||||
|
||||
# Check if the file exists
|
||||
if os.path.exists(f"{DATA_DIR}/ollama.db"):
|
||||
# Rename the file
|
||||
os.rename(f"{DATA_DIR}/ollama.db", f"{DATA_DIR}/webui.db")
|
||||
log.info("Database migrated from Ollama-WebUI successfully.")
|
||||
else:
|
||||
pass
|
||||
|
||||
|
||||
# Workaround to handle the peewee migration
|
||||
# This is required to ensure the peewee migration is handled before the alembic migration
|
||||
def handle_peewee_migration(DATABASE_URL):
|
||||
# db = None
|
||||
try:
|
||||
# Replace the postgresql:// with postgres:// and %40 with @ in the DATABASE_URL
|
||||
db = register_connection(
|
||||
DATABASE_URL.replace("postgresql://", "postgres://").replace("%40", "@")
|
||||
)
|
||||
# Replace the postgresql:// with postgres:// to handle the peewee migration
|
||||
db = register_connection(DATABASE_URL.replace("postgresql://", "postgres://"))
|
||||
migrate_dir = BACKEND_DIR / "apps" / "webui" / "internal" / "migrations"
|
||||
router = Router(db, logger=log, migrate_dir=migrate_dir)
|
||||
router.run()
|
||||
db.close()
|
||||
|
||||
# check if db connection has been closed
|
||||
|
||||
except Exception as e:
|
||||
log.error(f"Failed to initialize the database connection: {e}")
|
||||
raise
|
||||
|
||||
finally:
|
||||
# Properly closing the database connection
|
||||
if db and not db.is_closed():
|
||||
@@ -98,7 +86,6 @@ Base = declarative_base()
|
||||
Session = scoped_session(SessionLocal)
|
||||
|
||||
|
||||
# Dependency
|
||||
def get_session():
|
||||
db = SessionLocal()
|
||||
try:
|
||||
|
||||
@@ -6,7 +6,7 @@ import logging
|
||||
from playhouse.db_url import connect, parse
|
||||
from playhouse.shortcuts import ReconnectMixin
|
||||
|
||||
from config import SRC_LOG_LEVELS
|
||||
from env import SRC_LOG_LEVELS
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["DB"])
|
||||
@@ -43,7 +43,7 @@ class ReconnectingPostgresqlDatabase(CustomReconnectMixin, PostgresqlDatabase):
|
||||
|
||||
|
||||
def register_connection(db_url):
|
||||
db = connect(db_url)
|
||||
db = connect(db_url, unquote_password=True)
|
||||
if isinstance(db, PostgresqlDatabase):
|
||||
# Enable autoconnect for SQLite databases, managed by Peewee
|
||||
db.autoconnect = True
|
||||
@@ -51,16 +51,10 @@ def register_connection(db_url):
|
||||
log.info("Connected to PostgreSQL database")
|
||||
|
||||
# Get the connection details
|
||||
connection = parse(db_url)
|
||||
connection = parse(db_url, unquote_password=True)
|
||||
|
||||
# Use our custom database class that supports reconnection
|
||||
db = ReconnectingPostgresqlDatabase(
|
||||
connection["database"],
|
||||
user=connection["user"],
|
||||
password=connection["password"],
|
||||
host=connection["host"],
|
||||
port=connection["port"],
|
||||
)
|
||||
db = ReconnectingPostgresqlDatabase(**connection)
|
||||
db.connect(reuse_if_open=True)
|
||||
elif isinstance(db, SqliteDatabase):
|
||||
# Enable autoconnect for SQLite databases, managed by Peewee
|
||||
|
||||
+57
-35
@@ -22,10 +22,11 @@ from apps.webui.utils import load_function_module_by_id
|
||||
from utils.misc import (
|
||||
openai_chat_chunk_message_template,
|
||||
openai_chat_completion_message_template,
|
||||
apply_model_params_to_body,
|
||||
apply_model_params_to_body_openai,
|
||||
apply_model_system_prompt_to_body,
|
||||
)
|
||||
|
||||
from utils.tools import get_tools
|
||||
|
||||
from config import (
|
||||
SHOW_ADMIN_DETAILS,
|
||||
@@ -43,22 +44,26 @@ from config import (
|
||||
JWT_EXPIRES_IN,
|
||||
WEBUI_BANNERS,
|
||||
ENABLE_COMMUNITY_SHARING,
|
||||
ENABLE_MESSAGE_RATING,
|
||||
AppConfig,
|
||||
OAUTH_USERNAME_CLAIM,
|
||||
OAUTH_PICTURE_CLAIM,
|
||||
OAUTH_EMAIL_CLAIM,
|
||||
CORS_ALLOW_ORIGIN,
|
||||
)
|
||||
|
||||
from apps.socket.main import get_event_call, get_event_emitter
|
||||
|
||||
import inspect
|
||||
import json
|
||||
import logging
|
||||
|
||||
from typing import Iterator, Generator, AsyncGenerator
|
||||
from pydantic import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
origins = ["*"]
|
||||
log = logging.getLogger(__name__)
|
||||
|
||||
app.state.config = AppConfig()
|
||||
|
||||
@@ -81,9 +86,11 @@ app.state.config.WEBHOOK_URL = WEBHOOK_URL
|
||||
app.state.config.BANNERS = WEBUI_BANNERS
|
||||
|
||||
app.state.config.ENABLE_COMMUNITY_SHARING = ENABLE_COMMUNITY_SHARING
|
||||
app.state.config.ENABLE_MESSAGE_RATING = ENABLE_MESSAGE_RATING
|
||||
|
||||
app.state.config.OAUTH_USERNAME_CLAIM = OAUTH_USERNAME_CLAIM
|
||||
app.state.config.OAUTH_PICTURE_CLAIM = OAUTH_PICTURE_CLAIM
|
||||
app.state.config.OAUTH_EMAIL_CLAIM = OAUTH_EMAIL_CLAIM
|
||||
|
||||
app.state.MODELS = {}
|
||||
app.state.TOOLS = {}
|
||||
@@ -91,7 +98,7 @@ app.state.FUNCTIONS = {}
|
||||
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=origins,
|
||||
allow_origins=CORS_ALLOW_ORIGIN,
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
@@ -239,40 +246,40 @@ def get_pipe_id(form_data: dict) -> str:
|
||||
return pipe_id
|
||||
|
||||
|
||||
def get_function_params(function_module, form_data, user, extra_params={}):
|
||||
def get_function_params(function_module, form_data, user, extra_params=None):
|
||||
if extra_params is None:
|
||||
extra_params = {}
|
||||
|
||||
pipe_id = get_pipe_id(form_data)
|
||||
|
||||
# Get the signature of the function
|
||||
sig = inspect.signature(function_module.pipe)
|
||||
params = {"body": form_data}
|
||||
|
||||
for key, value in extra_params.items():
|
||||
if key in sig.parameters:
|
||||
params[key] = value
|
||||
|
||||
if "__user__" in sig.parameters:
|
||||
__user__ = {
|
||||
"id": user.id,
|
||||
"email": user.email,
|
||||
"name": user.name,
|
||||
"role": user.role,
|
||||
}
|
||||
params = {"body": form_data} | {
|
||||
k: v for k, v in extra_params.items() if k in sig.parameters
|
||||
}
|
||||
|
||||
if "__user__" in params and hasattr(function_module, "UserValves"):
|
||||
user_valves = Functions.get_user_valves_by_id_and_user_id(pipe_id, user.id)
|
||||
try:
|
||||
if hasattr(function_module, "UserValves"):
|
||||
__user__["valves"] = function_module.UserValves(
|
||||
**Functions.get_user_valves_by_id_and_user_id(pipe_id, user.id)
|
||||
)
|
||||
params["__user__"]["valves"] = function_module.UserValves(**user_valves)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
log.exception(e)
|
||||
params["__user__"]["valves"] = function_module.UserValves()
|
||||
|
||||
params["__user__"] = __user__
|
||||
return params
|
||||
|
||||
|
||||
async def generate_function_chat_completion(form_data, user):
|
||||
model_id = form_data.get("model")
|
||||
model_info = Models.get_model_by_id(model_id)
|
||||
metadata = form_data.pop("metadata", None)
|
||||
|
||||
metadata = form_data.pop("metadata", {})
|
||||
|
||||
files = metadata.get("files", [])
|
||||
tool_ids = metadata.get("tool_ids", [])
|
||||
# Check if tool_ids is None
|
||||
if tool_ids is None:
|
||||
tool_ids = []
|
||||
|
||||
__event_emitter__ = None
|
||||
__event_call__ = None
|
||||
@@ -284,28 +291,43 @@ async def generate_function_chat_completion(form_data, user):
|
||||
__event_call__ = get_event_call(metadata)
|
||||
__task__ = metadata.get("task", None)
|
||||
|
||||
extra_params = {
|
||||
"__event_emitter__": __event_emitter__,
|
||||
"__event_call__": __event_call__,
|
||||
"__task__": __task__,
|
||||
"__files__": files,
|
||||
"__user__": {
|
||||
"id": user.id,
|
||||
"email": user.email,
|
||||
"name": user.name,
|
||||
"role": user.role,
|
||||
},
|
||||
}
|
||||
extra_params["__tools__"] = get_tools(
|
||||
app,
|
||||
tool_ids,
|
||||
user,
|
||||
{
|
||||
**extra_params,
|
||||
"__model__": app.state.MODELS[form_data["model"]],
|
||||
"__messages__": form_data["messages"],
|
||||
"__files__": files,
|
||||
},
|
||||
)
|
||||
|
||||
if model_info:
|
||||
if model_info.base_model_id:
|
||||
form_data["model"] = model_info.base_model_id
|
||||
|
||||
params = model_info.params.model_dump()
|
||||
form_data = apply_model_params_to_body(params, form_data)
|
||||
form_data = apply_model_params_to_body_openai(params, form_data)
|
||||
form_data = apply_model_system_prompt_to_body(params, form_data, user)
|
||||
|
||||
pipe_id = get_pipe_id(form_data)
|
||||
function_module = get_function_module(pipe_id)
|
||||
|
||||
pipe = function_module.pipe
|
||||
params = get_function_params(
|
||||
function_module,
|
||||
form_data,
|
||||
user,
|
||||
{
|
||||
"__event_emitter__": __event_emitter__,
|
||||
"__event_call__": __event_call__,
|
||||
"__task__": __task__,
|
||||
},
|
||||
)
|
||||
params = get_function_params(function_module, form_data, user, extra_params)
|
||||
|
||||
if form_data["stream"]:
|
||||
|
||||
|
||||
@@ -4,12 +4,12 @@ import uuid
|
||||
import logging
|
||||
from sqlalchemy import String, Column, Boolean, Text
|
||||
|
||||
from apps.webui.models.users import UserModel, Users
|
||||
from utils.utils import verify_password
|
||||
|
||||
from apps.webui.models.users import UserModel, Users
|
||||
from apps.webui.internal.db import Base, get_db
|
||||
|
||||
from config import SRC_LOG_LEVELS
|
||||
from env import SRC_LOG_LEVELS
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["MODELS"])
|
||||
@@ -140,7 +140,7 @@ class AuthsTable:
|
||||
return None
|
||||
else:
|
||||
return None
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def authenticate_user_by_api_key(self, api_key: str) -> Optional[UserModel]:
|
||||
@@ -152,7 +152,7 @@ class AuthsTable:
|
||||
try:
|
||||
user = Users.get_user_by_api_key(api_key)
|
||||
return user if user else None
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def authenticate_user_by_trusted_header(self, email: str) -> Optional[UserModel]:
|
||||
@@ -163,7 +163,7 @@ class AuthsTable:
|
||||
if auth:
|
||||
user = Users.get_user_by_id(auth.id)
|
||||
return user
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def update_user_password_by_id(self, id: str, new_password: str) -> bool:
|
||||
@@ -174,7 +174,7 @@ class AuthsTable:
|
||||
)
|
||||
db.commit()
|
||||
return True if result == 1 else False
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def update_email_by_id(self, id: str, email: str) -> bool:
|
||||
@@ -183,7 +183,7 @@ class AuthsTable:
|
||||
result = db.query(Auth).filter_by(id=id).update({"email": email})
|
||||
db.commit()
|
||||
return True if result == 1 else False
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def delete_auth_by_id(self, id: str) -> bool:
|
||||
@@ -200,7 +200,7 @@ class AuthsTable:
|
||||
return True
|
||||
else:
|
||||
return False
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from typing import List, Union, Optional
|
||||
from typing import Union, Optional
|
||||
|
||||
import json
|
||||
import uuid
|
||||
@@ -164,7 +164,7 @@ class ChatTable:
|
||||
db.refresh(chat)
|
||||
|
||||
return self.get_chat_by_id(chat.share_id)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def delete_shared_chat_by_chat_id(self, chat_id: str) -> bool:
|
||||
@@ -175,7 +175,7 @@ class ChatTable:
|
||||
db.commit()
|
||||
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def update_chat_share_id_by_id(
|
||||
@@ -189,7 +189,7 @@ class ChatTable:
|
||||
db.commit()
|
||||
db.refresh(chat)
|
||||
return ChatModel.model_validate(chat)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def toggle_chat_archive_by_id(self, id: str) -> Optional[ChatModel]:
|
||||
@@ -201,7 +201,7 @@ class ChatTable:
|
||||
db.commit()
|
||||
db.refresh(chat)
|
||||
return ChatModel.model_validate(chat)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def archive_all_chats_by_user_id(self, user_id: str) -> bool:
|
||||
@@ -210,12 +210,12 @@ class ChatTable:
|
||||
db.query(Chat).filter_by(user_id=user_id).update({"archived": True})
|
||||
db.commit()
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def get_archived_chat_list_by_user_id(
|
||||
self, user_id: str, skip: int = 0, limit: int = 50
|
||||
) -> List[ChatModel]:
|
||||
) -> list[ChatModel]:
|
||||
with get_db() as db:
|
||||
|
||||
all_chats = (
|
||||
@@ -233,7 +233,7 @@ class ChatTable:
|
||||
include_archived: bool = False,
|
||||
skip: int = 0,
|
||||
limit: int = 50,
|
||||
) -> List[ChatModel]:
|
||||
) -> list[ChatModel]:
|
||||
with get_db() as db:
|
||||
query = db.query(Chat).filter_by(user_id=user_id)
|
||||
if not include_archived:
|
||||
@@ -249,22 +249,25 @@ class ChatTable:
|
||||
self,
|
||||
user_id: str,
|
||||
include_archived: bool = False,
|
||||
skip: int = 0,
|
||||
limit: int = -1,
|
||||
) -> List[ChatTitleIdResponse]:
|
||||
skip: Optional[int] = None,
|
||||
limit: Optional[int] = None,
|
||||
) -> list[ChatTitleIdResponse]:
|
||||
with get_db() as db:
|
||||
query = db.query(Chat).filter_by(user_id=user_id)
|
||||
if not include_archived:
|
||||
query = query.filter_by(archived=False)
|
||||
|
||||
all_chats = (
|
||||
query.order_by(Chat.updated_at.desc())
|
||||
# limit cols
|
||||
.with_entities(Chat.id, Chat.title, Chat.updated_at, Chat.created_at)
|
||||
.limit(limit)
|
||||
.offset(skip)
|
||||
.all()
|
||||
query = query.order_by(Chat.updated_at.desc()).with_entities(
|
||||
Chat.id, Chat.title, Chat.updated_at, Chat.created_at
|
||||
)
|
||||
|
||||
if limit:
|
||||
query = query.limit(limit)
|
||||
if skip:
|
||||
query = query.offset(skip)
|
||||
|
||||
all_chats = query.all()
|
||||
|
||||
# result has to be destrctured from sqlalchemy `row` and mapped to a dict since the `ChatModel`is not the returned dataclass.
|
||||
return [
|
||||
ChatTitleIdResponse.model_validate(
|
||||
@@ -279,8 +282,8 @@ class ChatTable:
|
||||
]
|
||||
|
||||
def get_chat_list_by_chat_ids(
|
||||
self, chat_ids: List[str], skip: int = 0, limit: int = 50
|
||||
) -> List[ChatModel]:
|
||||
self, chat_ids: list[str], skip: int = 0, limit: int = 50
|
||||
) -> list[ChatModel]:
|
||||
with get_db() as db:
|
||||
all_chats = (
|
||||
db.query(Chat)
|
||||
@@ -297,7 +300,7 @@ class ChatTable:
|
||||
|
||||
chat = db.get(Chat, id)
|
||||
return ChatModel.model_validate(chat)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_chat_by_share_id(self, id: str) -> Optional[ChatModel]:
|
||||
@@ -319,10 +322,10 @@ class ChatTable:
|
||||
|
||||
chat = db.query(Chat).filter_by(id=id, user_id=user_id).first()
|
||||
return ChatModel.model_validate(chat)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_chats(self, skip: int = 0, limit: int = 50) -> List[ChatModel]:
|
||||
def get_chats(self, skip: int = 0, limit: int = 50) -> list[ChatModel]:
|
||||
with get_db() as db:
|
||||
|
||||
all_chats = (
|
||||
@@ -332,7 +335,7 @@ class ChatTable:
|
||||
)
|
||||
return [ChatModel.model_validate(chat) for chat in all_chats]
|
||||
|
||||
def get_chats_by_user_id(self, user_id: str) -> List[ChatModel]:
|
||||
def get_chats_by_user_id(self, user_id: str) -> list[ChatModel]:
|
||||
with get_db() as db:
|
||||
|
||||
all_chats = (
|
||||
@@ -342,7 +345,7 @@ class ChatTable:
|
||||
)
|
||||
return [ChatModel.model_validate(chat) for chat in all_chats]
|
||||
|
||||
def get_archived_chats_by_user_id(self, user_id: str) -> List[ChatModel]:
|
||||
def get_archived_chats_by_user_id(self, user_id: str) -> list[ChatModel]:
|
||||
with get_db() as db:
|
||||
|
||||
all_chats = (
|
||||
@@ -360,7 +363,7 @@ class ChatTable:
|
||||
db.commit()
|
||||
|
||||
return True and self.delete_shared_chat_by_chat_id(id)
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def delete_chat_by_id_and_user_id(self, id: str, user_id: str) -> bool:
|
||||
@@ -371,7 +374,7 @@ class ChatTable:
|
||||
db.commit()
|
||||
|
||||
return True and self.delete_shared_chat_by_chat_id(id)
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def delete_chats_by_user_id(self, user_id: str) -> bool:
|
||||
@@ -385,7 +388,7 @@ class ChatTable:
|
||||
db.commit()
|
||||
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def delete_shared_chats_by_user_id(self, user_id: str) -> bool:
|
||||
@@ -400,7 +403,7 @@ class ChatTable:
|
||||
db.commit()
|
||||
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from typing import List, Optional
|
||||
from typing import Optional
|
||||
import time
|
||||
import logging
|
||||
|
||||
@@ -9,7 +9,7 @@ from apps.webui.internal.db import Base, get_db
|
||||
|
||||
import json
|
||||
|
||||
from config import SRC_LOG_LEVELS
|
||||
from env import SRC_LOG_LEVELS
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["MODELS"])
|
||||
@@ -93,7 +93,7 @@ class DocumentsTable:
|
||||
return DocumentModel.model_validate(result)
|
||||
else:
|
||||
return None
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_doc_by_name(self, name: str) -> Optional[DocumentModel]:
|
||||
@@ -102,10 +102,10 @@ class DocumentsTable:
|
||||
|
||||
document = db.query(Document).filter_by(name=name).first()
|
||||
return DocumentModel.model_validate(document) if document else None
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_docs(self) -> List[DocumentModel]:
|
||||
def get_docs(self) -> list[DocumentModel]:
|
||||
with get_db() as db:
|
||||
|
||||
return [
|
||||
@@ -160,7 +160,7 @@ class DocumentsTable:
|
||||
db.query(Document).filter_by(name=name).delete()
|
||||
db.commit()
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from typing import List, Union, Optional
|
||||
from typing import Union, Optional
|
||||
import time
|
||||
import logging
|
||||
|
||||
@@ -9,7 +9,7 @@ from apps.webui.internal.db import JSONField, Base, get_db
|
||||
|
||||
import json
|
||||
|
||||
from config import SRC_LOG_LEVELS
|
||||
from env import SRC_LOG_LEVELS
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["MODELS"])
|
||||
@@ -90,14 +90,21 @@ class FilesTable:
|
||||
try:
|
||||
file = db.get(File, id)
|
||||
return FileModel.model_validate(file)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_files(self) -> List[FileModel]:
|
||||
def get_files(self) -> list[FileModel]:
|
||||
with get_db() as db:
|
||||
|
||||
return [FileModel.model_validate(file) for file in db.query(File).all()]
|
||||
|
||||
def get_files_by_user_id(self, user_id: str) -> list[FileModel]:
|
||||
with get_db() as db:
|
||||
return [
|
||||
FileModel.model_validate(file)
|
||||
for file in db.query(File).filter_by(user_id=user_id).all()
|
||||
]
|
||||
|
||||
def delete_file_by_id(self, id: str) -> bool:
|
||||
|
||||
with get_db() as db:
|
||||
@@ -107,7 +114,7 @@ class FilesTable:
|
||||
db.commit()
|
||||
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def delete_all_files(self) -> bool:
|
||||
@@ -119,7 +126,7 @@ class FilesTable:
|
||||
db.commit()
|
||||
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from typing import List, Union, Optional
|
||||
from typing import Union, Optional
|
||||
import time
|
||||
import logging
|
||||
|
||||
@@ -12,7 +12,7 @@ import json
|
||||
import copy
|
||||
|
||||
|
||||
from config import SRC_LOG_LEVELS
|
||||
from env import SRC_LOG_LEVELS
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["MODELS"])
|
||||
@@ -122,10 +122,10 @@ class FunctionsTable:
|
||||
|
||||
function = db.get(Function, id)
|
||||
return FunctionModel.model_validate(function)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_functions(self, active_only=False) -> List[FunctionModel]:
|
||||
def get_functions(self, active_only=False) -> list[FunctionModel]:
|
||||
with get_db() as db:
|
||||
|
||||
if active_only:
|
||||
@@ -141,7 +141,7 @@ class FunctionsTable:
|
||||
|
||||
def get_functions_by_type(
|
||||
self, type: str, active_only=False
|
||||
) -> List[FunctionModel]:
|
||||
) -> list[FunctionModel]:
|
||||
with get_db() as db:
|
||||
|
||||
if active_only:
|
||||
@@ -157,7 +157,7 @@ class FunctionsTable:
|
||||
for function in db.query(Function).filter_by(type=type).all()
|
||||
]
|
||||
|
||||
def get_global_filter_functions(self) -> List[FunctionModel]:
|
||||
def get_global_filter_functions(self) -> list[FunctionModel]:
|
||||
with get_db() as db:
|
||||
|
||||
return [
|
||||
@@ -167,7 +167,7 @@ class FunctionsTable:
|
||||
.all()
|
||||
]
|
||||
|
||||
def get_global_action_functions(self) -> List[FunctionModel]:
|
||||
def get_global_action_functions(self) -> list[FunctionModel]:
|
||||
with get_db() as db:
|
||||
return [
|
||||
FunctionModel.model_validate(function)
|
||||
@@ -198,7 +198,7 @@ class FunctionsTable:
|
||||
db.commit()
|
||||
db.refresh(function)
|
||||
return self.get_function_by_id(id)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_user_valves_by_id_and_user_id(
|
||||
@@ -256,7 +256,7 @@ class FunctionsTable:
|
||||
)
|
||||
db.commit()
|
||||
return self.get_function_by_id(id)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def deactivate_all_functions(self) -> Optional[bool]:
|
||||
@@ -271,7 +271,7 @@ class FunctionsTable:
|
||||
)
|
||||
db.commit()
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def delete_function_by_id(self, id: str) -> bool:
|
||||
@@ -281,7 +281,7 @@ class FunctionsTable:
|
||||
db.commit()
|
||||
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from typing import List, Union, Optional
|
||||
from typing import Union, Optional
|
||||
|
||||
from sqlalchemy import Column, String, BigInteger, Text
|
||||
|
||||
@@ -80,25 +80,25 @@ class MemoriesTable:
|
||||
)
|
||||
db.commit()
|
||||
return self.get_memory_by_id(id)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_memories(self) -> List[MemoryModel]:
|
||||
def get_memories(self) -> list[MemoryModel]:
|
||||
with get_db() as db:
|
||||
|
||||
try:
|
||||
memories = db.query(Memory).all()
|
||||
return [MemoryModel.model_validate(memory) for memory in memories]
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_memories_by_user_id(self, user_id: str) -> List[MemoryModel]:
|
||||
def get_memories_by_user_id(self, user_id: str) -> list[MemoryModel]:
|
||||
with get_db() as db:
|
||||
|
||||
try:
|
||||
memories = db.query(Memory).filter_by(user_id=user_id).all()
|
||||
return [MemoryModel.model_validate(memory) for memory in memories]
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_memory_by_id(self, id: str) -> Optional[MemoryModel]:
|
||||
@@ -107,7 +107,7 @@ class MemoriesTable:
|
||||
try:
|
||||
memory = db.get(Memory, id)
|
||||
return MemoryModel.model_validate(memory)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def delete_memory_by_id(self, id: str) -> bool:
|
||||
@@ -119,7 +119,7 @@ class MemoriesTable:
|
||||
|
||||
return True
|
||||
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def delete_memories_by_user_id(self, user_id: str) -> bool:
|
||||
@@ -130,7 +130,7 @@ class MemoriesTable:
|
||||
db.commit()
|
||||
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def delete_memory_by_id_and_user_id(self, id: str, user_id: str) -> bool:
|
||||
@@ -141,7 +141,7 @@ class MemoriesTable:
|
||||
db.commit()
|
||||
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
|
||||
@@ -6,7 +6,7 @@ from sqlalchemy import Column, BigInteger, Text
|
||||
|
||||
from apps.webui.internal.db import Base, JSONField, get_db
|
||||
|
||||
from config import SRC_LOG_LEVELS
|
||||
from env import SRC_LOG_LEVELS
|
||||
|
||||
import time
|
||||
|
||||
@@ -137,7 +137,7 @@ class ModelsTable:
|
||||
print(e)
|
||||
return None
|
||||
|
||||
def get_all_models(self) -> List[ModelModel]:
|
||||
def get_all_models(self) -> list[ModelModel]:
|
||||
with get_db() as db:
|
||||
return [ModelModel.model_validate(model) for model in db.query(Model).all()]
|
||||
|
||||
@@ -146,7 +146,7 @@ class ModelsTable:
|
||||
with get_db() as db:
|
||||
model = db.get(Model, id)
|
||||
return ModelModel.model_validate(model)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def update_model_by_id(self, id: str, model: ModelForm) -> Optional[ModelModel]:
|
||||
@@ -175,7 +175,7 @@ class ModelsTable:
|
||||
db.commit()
|
||||
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from typing import List, Optional
|
||||
from typing import Optional
|
||||
import time
|
||||
|
||||
from sqlalchemy import String, Column, BigInteger, Text
|
||||
@@ -79,10 +79,10 @@ class PromptsTable:
|
||||
|
||||
prompt = db.query(Prompt).filter_by(command=command).first()
|
||||
return PromptModel.model_validate(prompt)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_prompts(self) -> List[PromptModel]:
|
||||
def get_prompts(self) -> list[PromptModel]:
|
||||
with get_db() as db:
|
||||
|
||||
return [
|
||||
@@ -101,7 +101,7 @@ class PromptsTable:
|
||||
prompt.timestamp = int(time.time())
|
||||
db.commit()
|
||||
return PromptModel.model_validate(prompt)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def delete_prompt_by_command(self, command: str) -> bool:
|
||||
@@ -112,7 +112,7 @@ class PromptsTable:
|
||||
db.commit()
|
||||
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from typing import List, Optional
|
||||
from typing import Optional
|
||||
|
||||
import json
|
||||
import uuid
|
||||
@@ -10,7 +10,7 @@ from sqlalchemy import String, Column, BigInteger, Text
|
||||
|
||||
from apps.webui.internal.db import Base, get_db
|
||||
|
||||
from config import SRC_LOG_LEVELS
|
||||
from env import SRC_LOG_LEVELS
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["MODELS"])
|
||||
@@ -69,11 +69,11 @@ class ChatIdTagForm(BaseModel):
|
||||
|
||||
|
||||
class TagChatIdsResponse(BaseModel):
|
||||
chat_ids: List[str]
|
||||
chat_ids: list[str]
|
||||
|
||||
|
||||
class ChatTagsResponse(BaseModel):
|
||||
tags: List[str]
|
||||
tags: list[str]
|
||||
|
||||
|
||||
class TagTable:
|
||||
@@ -109,7 +109,7 @@ class TagTable:
|
||||
self, user_id: str, form_data: ChatIdTagForm
|
||||
) -> Optional[ChatIdTagModel]:
|
||||
tag = self.get_tag_by_name_and_user_id(form_data.tag_name, user_id)
|
||||
if tag == None:
|
||||
if tag is None:
|
||||
tag = self.insert_new_tag(form_data.tag_name, user_id)
|
||||
|
||||
id = str(uuid.uuid4())
|
||||
@@ -132,10 +132,10 @@ class TagTable:
|
||||
return ChatIdTagModel.model_validate(result)
|
||||
else:
|
||||
return None
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_tags_by_user_id(self, user_id: str) -> List[TagModel]:
|
||||
def get_tags_by_user_id(self, user_id: str) -> list[TagModel]:
|
||||
with get_db() as db:
|
||||
tag_names = [
|
||||
chat_id_tag.tag_name
|
||||
@@ -159,7 +159,7 @@ class TagTable:
|
||||
|
||||
def get_tags_by_chat_id_and_user_id(
|
||||
self, chat_id: str, user_id: str
|
||||
) -> List[TagModel]:
|
||||
) -> list[TagModel]:
|
||||
with get_db() as db:
|
||||
|
||||
tag_names = [
|
||||
@@ -184,7 +184,7 @@ class TagTable:
|
||||
|
||||
def get_chat_ids_by_tag_name_and_user_id(
|
||||
self, tag_name: str, user_id: str
|
||||
) -> List[ChatIdTagModel]:
|
||||
) -> list[ChatIdTagModel]:
|
||||
with get_db() as db:
|
||||
|
||||
return [
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from typing import List, Optional
|
||||
from typing import Optional
|
||||
import time
|
||||
import logging
|
||||
from sqlalchemy import String, Column, BigInteger, Text
|
||||
@@ -11,7 +11,7 @@ import json
|
||||
import copy
|
||||
|
||||
|
||||
from config import SRC_LOG_LEVELS
|
||||
from env import SRC_LOG_LEVELS
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.setLevel(SRC_LOG_LEVELS["MODELS"])
|
||||
@@ -45,7 +45,7 @@ class ToolModel(BaseModel):
|
||||
user_id: str
|
||||
name: str
|
||||
content: str
|
||||
specs: List[dict]
|
||||
specs: list[dict]
|
||||
meta: ToolMeta
|
||||
updated_at: int # timestamp in epoch
|
||||
created_at: int # timestamp in epoch
|
||||
@@ -81,7 +81,7 @@ class ToolValves(BaseModel):
|
||||
class ToolsTable:
|
||||
|
||||
def insert_new_tool(
|
||||
self, user_id: str, form_data: ToolForm, specs: List[dict]
|
||||
self, user_id: str, form_data: ToolForm, specs: list[dict]
|
||||
) -> Optional[ToolModel]:
|
||||
|
||||
with get_db() as db:
|
||||
@@ -115,10 +115,10 @@ class ToolsTable:
|
||||
|
||||
tool = db.get(Tool, id)
|
||||
return ToolModel.model_validate(tool)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_tools(self) -> List[ToolModel]:
|
||||
def get_tools(self) -> list[ToolModel]:
|
||||
with get_db() as db:
|
||||
return [ToolModel.model_validate(tool) for tool in db.query(Tool).all()]
|
||||
|
||||
@@ -141,7 +141,7 @@ class ToolsTable:
|
||||
)
|
||||
db.commit()
|
||||
return self.get_tool_by_id(id)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_user_valves_by_id_and_user_id(
|
||||
@@ -196,7 +196,7 @@ class ToolsTable:
|
||||
tool = db.query(Tool).get(id)
|
||||
db.refresh(tool)
|
||||
return ToolModel.model_validate(tool)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def delete_tool_by_id(self, id: str) -> bool:
|
||||
@@ -206,7 +206,7 @@ class ToolsTable:
|
||||
db.commit()
|
||||
|
||||
return True
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
|
||||
@@ -1,12 +1,10 @@
|
||||
from pydantic import BaseModel, ConfigDict, parse_obj_as
|
||||
from typing import List, Union, Optional
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from typing import Optional
|
||||
import time
|
||||
|
||||
from sqlalchemy import String, Column, BigInteger, Text
|
||||
|
||||
from utils.misc import get_gravatar_url
|
||||
|
||||
from apps.webui.internal.db import Base, JSONField, Session, get_db
|
||||
from apps.webui.internal.db import Base, JSONField, get_db
|
||||
from apps.webui.models.chats import Chats
|
||||
|
||||
####################
|
||||
@@ -78,7 +76,6 @@ class UserUpdateForm(BaseModel):
|
||||
|
||||
|
||||
class UsersTable:
|
||||
|
||||
def insert_new_user(
|
||||
self,
|
||||
id: str,
|
||||
@@ -122,31 +119,28 @@ class UsersTable:
|
||||
def get_user_by_api_key(self, api_key: str) -> Optional[UserModel]:
|
||||
try:
|
||||
with get_db() as db:
|
||||
|
||||
user = db.query(User).filter_by(api_key=api_key).first()
|
||||
return UserModel.model_validate(user)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_user_by_email(self, email: str) -> Optional[UserModel]:
|
||||
try:
|
||||
with get_db() as db:
|
||||
|
||||
user = db.query(User).filter_by(email=email).first()
|
||||
return UserModel.model_validate(user)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_user_by_oauth_sub(self, sub: str) -> Optional[UserModel]:
|
||||
try:
|
||||
with get_db() as db:
|
||||
|
||||
user = db.query(User).filter_by(oauth_sub=sub).first()
|
||||
return UserModel.model_validate(user)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def get_users(self, skip: int = 0, limit: int = 50) -> List[UserModel]:
|
||||
def get_users(self, skip: int = 0, limit: int = 50) -> list[UserModel]:
|
||||
with get_db() as db:
|
||||
users = (
|
||||
db.query(User)
|
||||
@@ -164,7 +158,7 @@ class UsersTable:
|
||||
with get_db() as db:
|
||||
user = db.query(User).order_by(User.created_at).first()
|
||||
return UserModel.model_validate(user)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def update_user_role_by_id(self, id: str, role: str) -> Optional[UserModel]:
|
||||
@@ -174,7 +168,7 @@ class UsersTable:
|
||||
db.commit()
|
||||
user = db.query(User).filter_by(id=id).first()
|
||||
return UserModel.model_validate(user)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def update_user_profile_image_url_by_id(
|
||||
@@ -189,13 +183,12 @@ class UsersTable:
|
||||
|
||||
user = db.query(User).filter_by(id=id).first()
|
||||
return UserModel.model_validate(user)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def update_user_last_active_by_id(self, id: str) -> Optional[UserModel]:
|
||||
try:
|
||||
with get_db() as db:
|
||||
|
||||
db.query(User).filter_by(id=id).update(
|
||||
{"last_active_at": int(time.time())}
|
||||
)
|
||||
@@ -203,7 +196,7 @@ class UsersTable:
|
||||
|
||||
user = db.query(User).filter_by(id=id).first()
|
||||
return UserModel.model_validate(user)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def update_user_oauth_sub_by_id(
|
||||
@@ -216,7 +209,7 @@ class UsersTable:
|
||||
|
||||
user = db.query(User).filter_by(id=id).first()
|
||||
return UserModel.model_validate(user)
|
||||
except:
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
def update_user_by_id(self, id: str, updated: dict) -> Optional[UserModel]:
|
||||
@@ -245,7 +238,7 @@ class UsersTable:
|
||||
return True
|
||||
else:
|
||||
return False
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def update_user_api_key_by_id(self, id: str, api_key: str) -> str:
|
||||
@@ -254,7 +247,7 @@ class UsersTable:
|
||||
result = db.query(User).filter_by(id=id).update({"api_key": api_key})
|
||||
db.commit()
|
||||
return True if result == 1 else False
|
||||
except:
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def get_user_api_key_by_id(self, id: str) -> Optional[str]:
|
||||
|
||||
@@ -195,7 +195,11 @@ async def signin(request: Request, response: Response, form_data: SigninForm):
|
||||
|
||||
@router.post("/signup", response_model=SigninResponse)
|
||||
async def signup(request: Request, response: Response, form_data: SignupForm):
|
||||
if not request.app.state.config.ENABLE_SIGNUP and WEBUI_AUTH:
|
||||
if (
|
||||
not request.app.state.config.ENABLE_SIGNUP
|
||||
and request.app.state.config.ENABLE_LOGIN_FORM
|
||||
and WEBUI_AUTH
|
||||
):
|
||||
raise HTTPException(
|
||||
status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.ACCESS_PROHIBITED
|
||||
)
|
||||
@@ -228,7 +232,6 @@ async def signup(request: Request, response: Response, form_data: SignupForm):
|
||||
data={"id": user.id},
|
||||
expires_delta=parse_duration(request.app.state.config.JWT_EXPIRES_IN),
|
||||
)
|
||||
# response.set_cookie(key='token', value=token, httponly=True)
|
||||
|
||||
# Set the cookie token
|
||||
response.set_cookie(
|
||||
@@ -352,6 +355,7 @@ async def get_admin_config(request: Request, user=Depends(get_admin_user)):
|
||||
"DEFAULT_USER_ROLE": request.app.state.config.DEFAULT_USER_ROLE,
|
||||
"JWT_EXPIRES_IN": request.app.state.config.JWT_EXPIRES_IN,
|
||||
"ENABLE_COMMUNITY_SHARING": request.app.state.config.ENABLE_COMMUNITY_SHARING,
|
||||
"ENABLE_MESSAGE_RATING": request.app.state.config.ENABLE_MESSAGE_RATING,
|
||||
}
|
||||
|
||||
|
||||
@@ -361,6 +365,7 @@ class AdminConfig(BaseModel):
|
||||
DEFAULT_USER_ROLE: str
|
||||
JWT_EXPIRES_IN: str
|
||||
ENABLE_COMMUNITY_SHARING: bool
|
||||
ENABLE_MESSAGE_RATING: bool
|
||||
|
||||
|
||||
@router.post("/admin/config")
|
||||
@@ -382,6 +387,7 @@ async def update_admin_config(
|
||||
request.app.state.config.ENABLE_COMMUNITY_SHARING = (
|
||||
form_data.ENABLE_COMMUNITY_SHARING
|
||||
)
|
||||
request.app.state.config.ENABLE_MESSAGE_RATING = form_data.ENABLE_MESSAGE_RATING
|
||||
|
||||
return {
|
||||
"SHOW_ADMIN_DETAILS": request.app.state.config.SHOW_ADMIN_DETAILS,
|
||||
@@ -389,6 +395,7 @@ async def update_admin_config(
|
||||
"DEFAULT_USER_ROLE": request.app.state.config.DEFAULT_USER_ROLE,
|
||||
"JWT_EXPIRES_IN": request.app.state.config.JWT_EXPIRES_IN,
|
||||
"ENABLE_COMMUNITY_SHARING": request.app.state.config.ENABLE_COMMUNITY_SHARING,
|
||||
"ENABLE_MESSAGE_RATING": request.app.state.config.ENABLE_MESSAGE_RATING,
|
||||
}
|
||||
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
from fastapi import Depends, Request, HTTPException, status
|
||||
from datetime import datetime, timedelta
|
||||
from typing import List, Union, Optional
|
||||
from typing import Union, Optional
|
||||
from utils.utils import get_verified_user, get_admin_user
|
||||
from fastapi import APIRouter
|
||||
from pydantic import BaseModel
|
||||
@@ -40,8 +40,8 @@ router = APIRouter()
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/", response_model=List[ChatTitleIdResponse])
|
||||
@router.get("/list", response_model=List[ChatTitleIdResponse])
|
||||
@router.get("/", response_model=list[ChatTitleIdResponse])
|
||||
@router.get("/list", response_model=list[ChatTitleIdResponse])
|
||||
async def get_session_user_chat_list(
|
||||
user=Depends(get_verified_user), page: Optional[int] = None
|
||||
):
|
||||
@@ -80,7 +80,7 @@ async def delete_all_user_chats(request: Request, user=Depends(get_verified_user
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/list/user/{user_id}", response_model=List[ChatTitleIdResponse])
|
||||
@router.get("/list/user/{user_id}", response_model=list[ChatTitleIdResponse])
|
||||
async def get_user_chat_list_by_user_id(
|
||||
user_id: str,
|
||||
user=Depends(get_admin_user),
|
||||
@@ -119,7 +119,7 @@ async def create_new_chat(form_data: ChatForm, user=Depends(get_verified_user)):
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/all", response_model=List[ChatResponse])
|
||||
@router.get("/all", response_model=list[ChatResponse])
|
||||
async def get_user_chats(user=Depends(get_verified_user)):
|
||||
return [
|
||||
ChatResponse(**{**chat.model_dump(), "chat": json.loads(chat.chat)})
|
||||
@@ -132,7 +132,7 @@ async def get_user_chats(user=Depends(get_verified_user)):
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/all/archived", response_model=List[ChatResponse])
|
||||
@router.get("/all/archived", response_model=list[ChatResponse])
|
||||
async def get_user_archived_chats(user=Depends(get_verified_user)):
|
||||
return [
|
||||
ChatResponse(**{**chat.model_dump(), "chat": json.loads(chat.chat)})
|
||||
@@ -145,7 +145,7 @@ async def get_user_archived_chats(user=Depends(get_verified_user)):
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/all/db", response_model=List[ChatResponse])
|
||||
@router.get("/all/db", response_model=list[ChatResponse])
|
||||
async def get_all_user_chats_in_db(user=Depends(get_admin_user)):
|
||||
if not ENABLE_ADMIN_EXPORT:
|
||||
raise HTTPException(
|
||||
@@ -163,7 +163,7 @@ async def get_all_user_chats_in_db(user=Depends(get_admin_user)):
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/archived", response_model=List[ChatTitleIdResponse])
|
||||
@router.get("/archived", response_model=list[ChatTitleIdResponse])
|
||||
async def get_archived_session_user_chat_list(
|
||||
user=Depends(get_verified_user), skip: int = 0, limit: int = 50
|
||||
):
|
||||
@@ -216,7 +216,7 @@ class TagNameForm(BaseModel):
|
||||
limit: Optional[int] = 50
|
||||
|
||||
|
||||
@router.post("/tags", response_model=List[ChatTitleIdResponse])
|
||||
@router.post("/tags", response_model=list[ChatTitleIdResponse])
|
||||
async def get_user_chat_list_by_tag_name(
|
||||
form_data: TagNameForm, user=Depends(get_verified_user)
|
||||
):
|
||||
@@ -241,7 +241,7 @@ async def get_user_chat_list_by_tag_name(
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/tags/all", response_model=List[TagModel])
|
||||
@router.get("/tags/all", response_model=list[TagModel])
|
||||
async def get_all_tags(user=Depends(get_verified_user)):
|
||||
try:
|
||||
tags = Tags.get_tags_by_user_id(user.id)
|
||||
@@ -417,7 +417,7 @@ async def delete_shared_chat_by_id(id: str, user=Depends(get_verified_user)):
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/{id}/tags", response_model=List[TagModel])
|
||||
@router.get("/{id}/tags", response_model=list[TagModel])
|
||||
async def get_chat_tags_by_id(id: str, user=Depends(get_verified_user)):
|
||||
tags = Tags.get_tags_by_chat_id_and_user_id(id, user.id)
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from fastapi import Response, Request
|
||||
from fastapi import Depends, FastAPI, HTTPException, status
|
||||
from datetime import datetime, timedelta
|
||||
from typing import List, Union
|
||||
from typing import Union
|
||||
|
||||
from fastapi import APIRouter
|
||||
from pydantic import BaseModel
|
||||
@@ -29,12 +29,12 @@ class SetDefaultModelsForm(BaseModel):
|
||||
|
||||
|
||||
class PromptSuggestion(BaseModel):
|
||||
title: List[str]
|
||||
title: list[str]
|
||||
content: str
|
||||
|
||||
|
||||
class SetDefaultSuggestionsForm(BaseModel):
|
||||
suggestions: List[PromptSuggestion]
|
||||
suggestions: list[PromptSuggestion]
|
||||
|
||||
|
||||
############################
|
||||
@@ -50,7 +50,7 @@ async def set_global_default_models(
|
||||
return request.app.state.config.DEFAULT_MODELS
|
||||
|
||||
|
||||
@router.post("/default/suggestions", response_model=List[PromptSuggestion])
|
||||
@router.post("/default/suggestions", response_model=list[PromptSuggestion])
|
||||
async def set_global_default_suggestions(
|
||||
request: Request,
|
||||
form_data: SetDefaultSuggestionsForm,
|
||||
@@ -67,10 +67,10 @@ async def set_global_default_suggestions(
|
||||
|
||||
|
||||
class SetBannersForm(BaseModel):
|
||||
banners: List[BannerModel]
|
||||
banners: list[BannerModel]
|
||||
|
||||
|
||||
@router.post("/banners", response_model=List[BannerModel])
|
||||
@router.post("/banners", response_model=list[BannerModel])
|
||||
async def set_banners(
|
||||
request: Request,
|
||||
form_data: SetBannersForm,
|
||||
@@ -81,7 +81,7 @@ async def set_banners(
|
||||
return request.app.state.config.BANNERS
|
||||
|
||||
|
||||
@router.get("/banners", response_model=List[BannerModel])
|
||||
@router.get("/banners", response_model=list[BannerModel])
|
||||
async def get_banners(
|
||||
request: Request,
|
||||
user=Depends(get_verified_user),
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
from fastapi import Depends, FastAPI, HTTPException, status
|
||||
from datetime import datetime, timedelta
|
||||
from typing import List, Union, Optional
|
||||
from typing import Union, Optional
|
||||
|
||||
from fastapi import APIRouter
|
||||
from pydantic import BaseModel
|
||||
@@ -24,7 +24,7 @@ router = APIRouter()
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/", response_model=List[DocumentResponse])
|
||||
@router.get("/", response_model=list[DocumentResponse])
|
||||
async def get_documents(user=Depends(get_verified_user)):
|
||||
docs = [
|
||||
DocumentResponse(
|
||||
@@ -46,7 +46,7 @@ async def get_documents(user=Depends(get_verified_user)):
|
||||
@router.post("/create", response_model=Optional[DocumentResponse])
|
||||
async def create_new_doc(form_data: DocumentForm, user=Depends(get_admin_user)):
|
||||
doc = Documents.get_doc_by_name(form_data.name)
|
||||
if doc == None:
|
||||
if doc is None:
|
||||
doc = Documents.insert_new_doc(user.id, form_data)
|
||||
|
||||
if doc:
|
||||
@@ -102,7 +102,7 @@ class TagItem(BaseModel):
|
||||
|
||||
class TagDocumentForm(BaseModel):
|
||||
name: str
|
||||
tags: List[dict]
|
||||
tags: list[dict]
|
||||
|
||||
|
||||
@router.post("/doc/tags", response_model=Optional[DocumentResponse])
|
||||
|
||||
@@ -11,7 +11,7 @@ from fastapi import (
|
||||
|
||||
|
||||
from datetime import datetime, timedelta
|
||||
from typing import List, Union, Optional
|
||||
from typing import Union, Optional
|
||||
from pathlib import Path
|
||||
|
||||
from fastapi import APIRouter
|
||||
@@ -104,9 +104,12 @@ def upload_file(file: UploadFile = File(...), user=Depends(get_verified_user)):
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/", response_model=List[FileModel])
|
||||
@router.get("/", response_model=list[FileModel])
|
||||
async def list_files(user=Depends(get_verified_user)):
|
||||
files = Files.get_files()
|
||||
if user.role == "admin":
|
||||
files = Files.get_files()
|
||||
else:
|
||||
files = Files.get_files_by_user_id(user.id)
|
||||
return files
|
||||
|
||||
|
||||
@@ -156,7 +159,7 @@ async def delete_all_files(user=Depends(get_admin_user)):
|
||||
async def get_file_by_id(id: str, user=Depends(get_verified_user)):
|
||||
file = Files.get_file_by_id(id)
|
||||
|
||||
if file:
|
||||
if file and (file.user_id == user.id or user.role == "admin"):
|
||||
return file
|
||||
else:
|
||||
raise HTTPException(
|
||||
@@ -174,7 +177,7 @@ async def get_file_by_id(id: str, user=Depends(get_verified_user)):
|
||||
async def get_file_content_by_id(id: str, user=Depends(get_verified_user)):
|
||||
file = Files.get_file_by_id(id)
|
||||
|
||||
if file:
|
||||
if file and (file.user_id == user.id or user.role == "admin"):
|
||||
file_path = Path(file.meta["path"])
|
||||
|
||||
# Check if the file already exists in the cache
|
||||
@@ -197,7 +200,7 @@ async def get_file_content_by_id(id: str, user=Depends(get_verified_user)):
|
||||
async def get_file_content_by_id(id: str, user=Depends(get_verified_user)):
|
||||
file = Files.get_file_by_id(id)
|
||||
|
||||
if file:
|
||||
if file and (file.user_id == user.id or user.role == "admin"):
|
||||
file_path = Path(file.meta["path"])
|
||||
|
||||
# Check if the file already exists in the cache
|
||||
@@ -224,8 +227,7 @@ async def get_file_content_by_id(id: str, user=Depends(get_verified_user)):
|
||||
@router.delete("/{id}")
|
||||
async def delete_file_by_id(id: str, user=Depends(get_verified_user)):
|
||||
file = Files.get_file_by_id(id)
|
||||
|
||||
if file:
|
||||
if file and (file.user_id == user.id or user.role == "admin"):
|
||||
result = Files.delete_file_by_id(id)
|
||||
if result:
|
||||
return {"message": "File deleted successfully"}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
from fastapi import Depends, FastAPI, HTTPException, status, Request
|
||||
from datetime import datetime, timedelta
|
||||
from typing import List, Union, Optional
|
||||
from typing import Union, Optional
|
||||
|
||||
from fastapi import APIRouter
|
||||
from pydantic import BaseModel
|
||||
@@ -30,7 +30,7 @@ router = APIRouter()
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/", response_model=List[FunctionResponse])
|
||||
@router.get("/", response_model=list[FunctionResponse])
|
||||
async def get_functions(user=Depends(get_verified_user)):
|
||||
return Functions.get_functions()
|
||||
|
||||
@@ -40,7 +40,7 @@ async def get_functions(user=Depends(get_verified_user)):
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/export", response_model=List[FunctionModel])
|
||||
@router.get("/export", response_model=list[FunctionModel])
|
||||
async def get_functions(user=Depends(get_admin_user)):
|
||||
return Functions.get_functions()
|
||||
|
||||
@@ -63,7 +63,7 @@ async def create_new_function(
|
||||
form_data.id = form_data.id.lower()
|
||||
|
||||
function = Functions.get_function_by_id(form_data.id)
|
||||
if function == None:
|
||||
if function is None:
|
||||
function_path = os.path.join(FUNCTIONS_DIR, f"{form_data.id}.py")
|
||||
try:
|
||||
with open(function_path, "w") as function_file:
|
||||
@@ -235,7 +235,7 @@ async def delete_function_by_id(
|
||||
function_path = os.path.join(FUNCTIONS_DIR, f"{id}.py")
|
||||
try:
|
||||
os.remove(function_path)
|
||||
except:
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
return result
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from fastapi import Response, Request
|
||||
from fastapi import Depends, FastAPI, HTTPException, status
|
||||
from datetime import datetime, timedelta
|
||||
from typing import List, Union, Optional
|
||||
from typing import Union, Optional
|
||||
|
||||
from fastapi import APIRouter
|
||||
from pydantic import BaseModel
|
||||
@@ -30,7 +30,7 @@ async def get_embeddings(request: Request):
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/", response_model=List[MemoryModel])
|
||||
@router.get("/", response_model=list[MemoryModel])
|
||||
async def get_memories(user=Depends(get_verified_user)):
|
||||
return Memories.get_memories_by_user_id(user.id)
|
||||
|
||||
@@ -68,6 +68,76 @@ async def add_memory(
|
||||
return memory
|
||||
|
||||
|
||||
############################
|
||||
# QueryMemory
|
||||
############################
|
||||
|
||||
|
||||
class QueryMemoryForm(BaseModel):
|
||||
content: str
|
||||
k: Optional[int] = 1
|
||||
|
||||
|
||||
@router.post("/query")
|
||||
async def query_memory(
|
||||
request: Request, form_data: QueryMemoryForm, user=Depends(get_verified_user)
|
||||
):
|
||||
query_embedding = request.app.state.EMBEDDING_FUNCTION(form_data.content)
|
||||
collection = CHROMA_CLIENT.get_or_create_collection(name=f"user-memory-{user.id}")
|
||||
|
||||
results = collection.query(
|
||||
query_embeddings=[query_embedding],
|
||||
n_results=form_data.k, # how many results to return
|
||||
)
|
||||
|
||||
return results
|
||||
|
||||
|
||||
############################
|
||||
# ResetMemoryFromVectorDB
|
||||
############################
|
||||
@router.post("/reset", response_model=bool)
|
||||
async def reset_memory_from_vector_db(
|
||||
request: Request, user=Depends(get_verified_user)
|
||||
):
|
||||
CHROMA_CLIENT.delete_collection(f"user-memory-{user.id}")
|
||||
collection = CHROMA_CLIENT.get_or_create_collection(name=f"user-memory-{user.id}")
|
||||
|
||||
memories = Memories.get_memories_by_user_id(user.id)
|
||||
for memory in memories:
|
||||
memory_embedding = request.app.state.EMBEDDING_FUNCTION(memory.content)
|
||||
collection.upsert(
|
||||
documents=[memory.content],
|
||||
ids=[memory.id],
|
||||
embeddings=[memory_embedding],
|
||||
)
|
||||
return True
|
||||
|
||||
|
||||
############################
|
||||
# DeleteMemoriesByUserId
|
||||
############################
|
||||
|
||||
|
||||
@router.delete("/delete/user", response_model=bool)
|
||||
async def delete_memory_by_user_id(user=Depends(get_verified_user)):
|
||||
result = Memories.delete_memories_by_user_id(user.id)
|
||||
|
||||
if result:
|
||||
try:
|
||||
CHROMA_CLIENT.delete_collection(f"user-memory-{user.id}")
|
||||
except Exception as e:
|
||||
log.error(e)
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
|
||||
############################
|
||||
# UpdateMemoryById
|
||||
############################
|
||||
|
||||
|
||||
@router.post("/{memory_id}/update", response_model=Optional[MemoryModel])
|
||||
async def update_memory_by_id(
|
||||
memory_id: str,
|
||||
@@ -96,71 +166,6 @@ async def update_memory_by_id(
|
||||
return memory
|
||||
|
||||
|
||||
############################
|
||||
# QueryMemory
|
||||
############################
|
||||
|
||||
|
||||
class QueryMemoryForm(BaseModel):
|
||||
content: str
|
||||
k: Optional[int] = 1
|
||||
|
||||
|
||||
@router.post("/query")
|
||||
async def query_memory(
|
||||
request: Request, form_data: QueryMemoryForm, user=Depends(get_verified_user)
|
||||
):
|
||||
query_embedding = request.app.state.EMBEDDING_FUNCTION(form_data.content)
|
||||
collection = CHROMA_CLIENT.get_or_create_collection(name=f"user-memory-{user.id}")
|
||||
|
||||
results = collection.query(
|
||||
query_embeddings=[query_embedding],
|
||||
n_results=form_data.k, # how many results to return
|
||||
)
|
||||
|
||||
return results
|
||||
|
||||
|
||||
############################
|
||||
# ResetMemoryFromVectorDB
|
||||
############################
|
||||
@router.get("/reset", response_model=bool)
|
||||
async def reset_memory_from_vector_db(
|
||||
request: Request, user=Depends(get_verified_user)
|
||||
):
|
||||
CHROMA_CLIENT.delete_collection(f"user-memory-{user.id}")
|
||||
collection = CHROMA_CLIENT.get_or_create_collection(name=f"user-memory-{user.id}")
|
||||
|
||||
memories = Memories.get_memories_by_user_id(user.id)
|
||||
for memory in memories:
|
||||
memory_embedding = request.app.state.EMBEDDING_FUNCTION(memory.content)
|
||||
collection.upsert(
|
||||
documents=[memory.content],
|
||||
ids=[memory.id],
|
||||
embeddings=[memory_embedding],
|
||||
)
|
||||
return True
|
||||
|
||||
|
||||
############################
|
||||
# DeleteMemoriesByUserId
|
||||
############################
|
||||
|
||||
|
||||
@router.delete("/user", response_model=bool)
|
||||
async def delete_memory_by_user_id(user=Depends(get_verified_user)):
|
||||
result = Memories.delete_memories_by_user_id(user.id)
|
||||
|
||||
if result:
|
||||
try:
|
||||
CHROMA_CLIENT.delete_collection(f"user-memory-{user.id}")
|
||||
except Exception as e:
|
||||
log.error(e)
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
|
||||
############################
|
||||
# DeleteMemoryById
|
||||
############################
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
from fastapi import Depends, FastAPI, HTTPException, status, Request
|
||||
from datetime import datetime, timedelta
|
||||
from typing import List, Union, Optional
|
||||
from typing import Union, Optional
|
||||
|
||||
from fastapi import APIRouter
|
||||
from pydantic import BaseModel
|
||||
@@ -18,7 +18,7 @@ router = APIRouter()
|
||||
###########################
|
||||
|
||||
|
||||
@router.get("/", response_model=List[ModelResponse])
|
||||
@router.get("/", response_model=list[ModelResponse])
|
||||
async def get_models(user=Depends(get_verified_user)):
|
||||
return Models.get_all_models()
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
from fastapi import Depends, FastAPI, HTTPException, status
|
||||
from datetime import datetime, timedelta
|
||||
from typing import List, Union, Optional
|
||||
from typing import Union, Optional
|
||||
|
||||
from fastapi import APIRouter
|
||||
from pydantic import BaseModel
|
||||
@@ -18,7 +18,7 @@ router = APIRouter()
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/", response_model=List[PromptModel])
|
||||
@router.get("/", response_model=list[PromptModel])
|
||||
async def get_prompts(user=Depends(get_verified_user)):
|
||||
return Prompts.get_prompts()
|
||||
|
||||
@@ -31,7 +31,7 @@ async def get_prompts(user=Depends(get_verified_user)):
|
||||
@router.post("/create", response_model=Optional[PromptModel])
|
||||
async def create_new_prompt(form_data: PromptForm, user=Depends(get_admin_user)):
|
||||
prompt = Prompts.get_prompt_by_command(form_data.command)
|
||||
if prompt == None:
|
||||
if prompt is None:
|
||||
prompt = Prompts.insert_new_prompt(user.id, form_data)
|
||||
|
||||
if prompt:
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from fastapi import Depends, HTTPException, status, Request
|
||||
from typing import List, Optional
|
||||
from typing import Optional
|
||||
|
||||
from fastapi import APIRouter
|
||||
|
||||
@@ -27,7 +27,7 @@ router = APIRouter()
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/", response_model=List[ToolResponse])
|
||||
@router.get("/", response_model=list[ToolResponse])
|
||||
async def get_toolkits(user=Depends(get_verified_user)):
|
||||
toolkits = [toolkit for toolkit in Tools.get_tools()]
|
||||
return toolkits
|
||||
@@ -38,7 +38,7 @@ async def get_toolkits(user=Depends(get_verified_user)):
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/export", response_model=List[ToolModel])
|
||||
@router.get("/export", response_model=list[ToolModel])
|
||||
async def get_toolkits(user=Depends(get_admin_user)):
|
||||
toolkits = [toolkit for toolkit in Tools.get_tools()]
|
||||
return toolkits
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from fastapi import Response, Request
|
||||
from fastapi import Depends, FastAPI, HTTPException, status
|
||||
from datetime import datetime, timedelta
|
||||
from typing import List, Union, Optional
|
||||
from typing import Union, Optional
|
||||
|
||||
from fastapi import APIRouter
|
||||
from pydantic import BaseModel
|
||||
@@ -39,7 +39,7 @@ router = APIRouter()
|
||||
############################
|
||||
|
||||
|
||||
@router.get("/", response_model=List[UserModel])
|
||||
@router.get("/", response_model=list[UserModel])
|
||||
async def get_users(skip: int = 0, limit: int = 50, user=Depends(get_admin_user)):
|
||||
return Users.get_users(skip, limit)
|
||||
|
||||
|
||||
@@ -17,7 +17,7 @@ from utils.misc import calculate_sha256, get_gravatar_url
|
||||
|
||||
from config import OLLAMA_BASE_URLS, DATA_DIR, UPLOAD_DIR, ENABLE_ADMIN_EXPORT
|
||||
from constants import ERROR_MESSAGES
|
||||
from typing import List
|
||||
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
@@ -57,7 +57,7 @@ async def get_html_from_markdown(
|
||||
|
||||
class ChatForm(BaseModel):
|
||||
title: str
|
||||
messages: List[dict]
|
||||
messages: list[dict]
|
||||
|
||||
|
||||
@router.post("/pdf")
|
||||
@@ -85,9 +85,10 @@ async def download_chat_as_pdf(
|
||||
pdf.add_font("NotoSans", "i", f"{FONTS_DIR}/NotoSans-Italic.ttf")
|
||||
pdf.add_font("NotoSansKR", "", f"{FONTS_DIR}/NotoSansKR-Regular.ttf")
|
||||
pdf.add_font("NotoSansJP", "", f"{FONTS_DIR}/NotoSansJP-Regular.ttf")
|
||||
pdf.add_font("NotoSansSC", "", f"{FONTS_DIR}/NotoSansSC-Regular.ttf")
|
||||
|
||||
pdf.set_font("NotoSans", size=12)
|
||||
pdf.set_fallback_fonts(["NotoSansKR", "NotoSansJP"])
|
||||
pdf.set_fallback_fonts(["NotoSansKR", "NotoSansJP", "NotoSansSC"])
|
||||
|
||||
pdf.set_auto_page_break(auto=True, margin=15)
|
||||
|
||||
|
||||
@@ -1,7 +1,12 @@
|
||||
from importlib import util
|
||||
import os
|
||||
import re
|
||||
import sys
|
||||
import subprocess
|
||||
|
||||
|
||||
from apps.webui.models.tools import Tools
|
||||
from apps.webui.models.functions import Functions
|
||||
from config import TOOLS_DIR, FUNCTIONS_DIR
|
||||
|
||||
|
||||
@@ -47,11 +52,21 @@ def extract_frontmatter(file_path):
|
||||
|
||||
def load_toolkit_module_by_id(toolkit_id):
|
||||
toolkit_path = os.path.join(TOOLS_DIR, f"{toolkit_id}.py")
|
||||
|
||||
if not os.path.exists(toolkit_path):
|
||||
tool = Tools.get_tool_by_id(toolkit_id)
|
||||
if tool:
|
||||
with open(toolkit_path, "w") as file:
|
||||
file.write(tool.content)
|
||||
else:
|
||||
raise Exception(f"Toolkit not found: {toolkit_id}")
|
||||
|
||||
spec = util.spec_from_file_location(toolkit_id, toolkit_path)
|
||||
module = util.module_from_spec(spec)
|
||||
frontmatter = extract_frontmatter(toolkit_path)
|
||||
|
||||
try:
|
||||
install_frontmatter_requirements(frontmatter.get("requirements", ""))
|
||||
spec.loader.exec_module(module)
|
||||
print(f"Loaded module: {module.__name__}")
|
||||
if hasattr(module, "Tools"):
|
||||
@@ -68,11 +83,20 @@ def load_toolkit_module_by_id(toolkit_id):
|
||||
def load_function_module_by_id(function_id):
|
||||
function_path = os.path.join(FUNCTIONS_DIR, f"{function_id}.py")
|
||||
|
||||
if not os.path.exists(function_path):
|
||||
function = Functions.get_function_by_id(function_id)
|
||||
if function:
|
||||
with open(function_path, "w") as file:
|
||||
file.write(function.content)
|
||||
else:
|
||||
raise Exception(f"Function not found: {function_id}")
|
||||
|
||||
spec = util.spec_from_file_location(function_id, function_path)
|
||||
module = util.module_from_spec(spec)
|
||||
frontmatter = extract_frontmatter(function_path)
|
||||
|
||||
try:
|
||||
install_frontmatter_requirements(frontmatter.get("requirements", ""))
|
||||
spec.loader.exec_module(module)
|
||||
print(f"Loaded module: {module.__name__}")
|
||||
if hasattr(module, "Pipe"):
|
||||
@@ -88,3 +112,13 @@ def load_function_module_by_id(function_id):
|
||||
# Move the file to the error folder
|
||||
os.rename(function_path, f"{function_path}.error")
|
||||
raise e
|
||||
|
||||
|
||||
def install_frontmatter_requirements(requirements):
|
||||
if requirements:
|
||||
req_list = [req.strip() for req in requirements.split(",")]
|
||||
for req in req_list:
|
||||
print(f"Installing requirement: {req}")
|
||||
subprocess.check_call([sys.executable, "-m", "pip", "install", req])
|
||||
else:
|
||||
print("No requirements found in frontmatter.")
|
||||
|
||||
+375
-288
@@ -1,11 +1,17 @@
|
||||
from sqlalchemy import create_engine, Column, Integer, DateTime, JSON, func
|
||||
from contextlib import contextmanager
|
||||
|
||||
|
||||
import os
|
||||
import sys
|
||||
import logging
|
||||
import importlib.metadata
|
||||
import pkgutil
|
||||
from urllib.parse import urlparse
|
||||
from datetime import datetime
|
||||
|
||||
import chromadb
|
||||
from chromadb import Settings
|
||||
from bs4 import BeautifulSoup
|
||||
from typing import TypeVar, Generic
|
||||
from pydantic import BaseModel
|
||||
from typing import Optional
|
||||
@@ -14,68 +20,39 @@ from pathlib import Path
|
||||
import json
|
||||
import yaml
|
||||
|
||||
import markdown
|
||||
import requests
|
||||
import shutil
|
||||
|
||||
|
||||
from apps.webui.internal.db import Base, get_db
|
||||
|
||||
from constants import ERROR_MESSAGES
|
||||
|
||||
####################################
|
||||
# Load .env file
|
||||
####################################
|
||||
|
||||
BACKEND_DIR = Path(__file__).parent # the path containing this file
|
||||
BASE_DIR = BACKEND_DIR.parent # the path containing the backend/
|
||||
|
||||
print(BASE_DIR)
|
||||
|
||||
try:
|
||||
from dotenv import load_dotenv, find_dotenv
|
||||
|
||||
load_dotenv(find_dotenv(str(BASE_DIR / ".env")))
|
||||
except ImportError:
|
||||
print("dotenv not installed, skipping...")
|
||||
|
||||
|
||||
####################################
|
||||
# LOGGING
|
||||
####################################
|
||||
|
||||
log_levels = ["CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG"]
|
||||
|
||||
GLOBAL_LOG_LEVEL = os.environ.get("GLOBAL_LOG_LEVEL", "").upper()
|
||||
if GLOBAL_LOG_LEVEL in log_levels:
|
||||
logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL, force=True)
|
||||
else:
|
||||
GLOBAL_LOG_LEVEL = "INFO"
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.info(f"GLOBAL_LOG_LEVEL: {GLOBAL_LOG_LEVEL}")
|
||||
|
||||
log_sources = [
|
||||
"AUDIO",
|
||||
"COMFYUI",
|
||||
"CONFIG",
|
||||
"DB",
|
||||
"IMAGES",
|
||||
"MAIN",
|
||||
"MODELS",
|
||||
"OLLAMA",
|
||||
"OPENAI",
|
||||
"RAG",
|
||||
"WEBHOOK",
|
||||
]
|
||||
|
||||
SRC_LOG_LEVELS = {}
|
||||
|
||||
for source in log_sources:
|
||||
log_env_var = source + "_LOG_LEVEL"
|
||||
SRC_LOG_LEVELS[source] = os.environ.get(log_env_var, "").upper()
|
||||
if SRC_LOG_LEVELS[source] not in log_levels:
|
||||
SRC_LOG_LEVELS[source] = GLOBAL_LOG_LEVEL
|
||||
log.info(f"{log_env_var}: {SRC_LOG_LEVELS[source]}")
|
||||
|
||||
log.setLevel(SRC_LOG_LEVELS["CONFIG"])
|
||||
from env import (
|
||||
ENV,
|
||||
VERSION,
|
||||
SAFE_MODE,
|
||||
GLOBAL_LOG_LEVEL,
|
||||
SRC_LOG_LEVELS,
|
||||
BASE_DIR,
|
||||
DATA_DIR,
|
||||
BACKEND_DIR,
|
||||
FRONTEND_BUILD_DIR,
|
||||
WEBUI_NAME,
|
||||
WEBUI_URL,
|
||||
WEBUI_FAVICON_URL,
|
||||
WEBUI_BUILD_HASH,
|
||||
CONFIG_DATA,
|
||||
DATABASE_URL,
|
||||
CHANGELOG,
|
||||
WEBUI_AUTH,
|
||||
WEBUI_AUTH_TRUSTED_EMAIL_HEADER,
|
||||
WEBUI_AUTH_TRUSTED_NAME_HEADER,
|
||||
WEBUI_SECRET_KEY,
|
||||
WEBUI_SESSION_COOKIE_SAME_SITE,
|
||||
WEBUI_SESSION_COOKIE_SECURE,
|
||||
log,
|
||||
)
|
||||
|
||||
|
||||
class EndpointFilter(logging.Filter):
|
||||
@@ -86,136 +63,62 @@ class EndpointFilter(logging.Filter):
|
||||
# Filter out /endpoint
|
||||
logging.getLogger("uvicorn.access").addFilter(EndpointFilter())
|
||||
|
||||
|
||||
WEBUI_NAME = os.environ.get("WEBUI_NAME", "Open WebUI")
|
||||
if WEBUI_NAME != "Open WebUI":
|
||||
WEBUI_NAME += " (Open WebUI)"
|
||||
|
||||
WEBUI_URL = os.environ.get("WEBUI_URL", "http://localhost:3000")
|
||||
|
||||
WEBUI_FAVICON_URL = "https://openwebui.com/favicon.png"
|
||||
|
||||
|
||||
####################################
|
||||
# ENV (dev,test,prod)
|
||||
####################################
|
||||
|
||||
ENV = os.environ.get("ENV", "dev")
|
||||
|
||||
try:
|
||||
PACKAGE_DATA = json.loads((BASE_DIR / "package.json").read_text())
|
||||
except:
|
||||
try:
|
||||
PACKAGE_DATA = {"version": importlib.metadata.version("open-webui")}
|
||||
except importlib.metadata.PackageNotFoundError:
|
||||
PACKAGE_DATA = {"version": "0.0.0"}
|
||||
|
||||
VERSION = PACKAGE_DATA["version"]
|
||||
|
||||
|
||||
# Function to parse each section
|
||||
def parse_section(section):
|
||||
items = []
|
||||
for li in section.find_all("li"):
|
||||
# Extract raw HTML string
|
||||
raw_html = str(li)
|
||||
|
||||
# Extract text without HTML tags
|
||||
text = li.get_text(separator=" ", strip=True)
|
||||
|
||||
# Split into title and content
|
||||
parts = text.split(": ", 1)
|
||||
title = parts[0].strip() if len(parts) > 1 else ""
|
||||
content = parts[1].strip() if len(parts) > 1 else text
|
||||
|
||||
items.append({"title": title, "content": content, "raw": raw_html})
|
||||
return items
|
||||
|
||||
|
||||
try:
|
||||
changelog_path = BASE_DIR / "CHANGELOG.md"
|
||||
with open(str(changelog_path.absolute()), "r", encoding="utf8") as file:
|
||||
changelog_content = file.read()
|
||||
|
||||
except:
|
||||
changelog_content = (pkgutil.get_data("open_webui", "CHANGELOG.md") or b"").decode()
|
||||
|
||||
|
||||
# Convert markdown content to HTML
|
||||
html_content = markdown.markdown(changelog_content)
|
||||
|
||||
# Parse the HTML content
|
||||
soup = BeautifulSoup(html_content, "html.parser")
|
||||
|
||||
# Initialize JSON structure
|
||||
changelog_json = {}
|
||||
|
||||
# Iterate over each version
|
||||
for version in soup.find_all("h2"):
|
||||
version_number = version.get_text().strip().split(" - ")[0][1:-1] # Remove brackets
|
||||
date = version.get_text().strip().split(" - ")[1]
|
||||
|
||||
version_data = {"date": date}
|
||||
|
||||
# Find the next sibling that is a h3 tag (section title)
|
||||
current = version.find_next_sibling()
|
||||
|
||||
while current and current.name != "h2":
|
||||
if current.name == "h3":
|
||||
section_title = current.get_text().lower() # e.g., "added", "fixed"
|
||||
section_items = parse_section(current.find_next_sibling("ul"))
|
||||
version_data[section_title] = section_items
|
||||
|
||||
# Move to the next element
|
||||
current = current.find_next_sibling()
|
||||
|
||||
changelog_json[version_number] = version_data
|
||||
|
||||
|
||||
CHANGELOG = changelog_json
|
||||
|
||||
|
||||
####################################
|
||||
# SAFE_MODE
|
||||
####################################
|
||||
|
||||
SAFE_MODE = os.environ.get("SAFE_MODE", "false").lower() == "true"
|
||||
|
||||
####################################
|
||||
# WEBUI_BUILD_HASH
|
||||
####################################
|
||||
|
||||
WEBUI_BUILD_HASH = os.environ.get("WEBUI_BUILD_HASH", "dev-build")
|
||||
|
||||
####################################
|
||||
# DATA/FRONTEND BUILD DIR
|
||||
####################################
|
||||
|
||||
DATA_DIR = Path(os.getenv("DATA_DIR", BACKEND_DIR / "data")).resolve()
|
||||
FRONTEND_BUILD_DIR = Path(os.getenv("FRONTEND_BUILD_DIR", BASE_DIR / "build")).resolve()
|
||||
|
||||
RESET_CONFIG_ON_START = (
|
||||
os.environ.get("RESET_CONFIG_ON_START", "False").lower() == "true"
|
||||
)
|
||||
if RESET_CONFIG_ON_START:
|
||||
try:
|
||||
os.remove(f"{DATA_DIR}/config.json")
|
||||
with open(f"{DATA_DIR}/config.json", "w") as f:
|
||||
f.write("{}")
|
||||
except:
|
||||
pass
|
||||
|
||||
try:
|
||||
CONFIG_DATA = json.loads((DATA_DIR / "config.json").read_text())
|
||||
except:
|
||||
CONFIG_DATA = {}
|
||||
|
||||
|
||||
####################################
|
||||
# Config helpers
|
||||
####################################
|
||||
|
||||
|
||||
# Function to run the alembic migrations
|
||||
def run_migrations():
|
||||
print("Running migrations")
|
||||
try:
|
||||
from alembic.config import Config
|
||||
from alembic import command
|
||||
|
||||
alembic_cfg = Config("alembic.ini")
|
||||
command.upgrade(alembic_cfg, "head")
|
||||
except Exception as e:
|
||||
print(f"Error: {e}")
|
||||
|
||||
|
||||
run_migrations()
|
||||
|
||||
|
||||
class Config(Base):
|
||||
__tablename__ = "config"
|
||||
|
||||
id = Column(Integer, primary_key=True)
|
||||
data = Column(JSON, nullable=False)
|
||||
version = Column(Integer, nullable=False, default=0)
|
||||
created_at = Column(DateTime, nullable=False, server_default=func.now())
|
||||
updated_at = Column(DateTime, nullable=True, onupdate=func.now())
|
||||
|
||||
|
||||
def load_json_config():
|
||||
with open(f"{DATA_DIR}/config.json", "r") as file:
|
||||
return json.load(file)
|
||||
|
||||
|
||||
def save_to_db(data):
|
||||
with get_db() as db:
|
||||
existing_config = db.query(Config).first()
|
||||
if not existing_config:
|
||||
new_config = Config(data=data, version=0)
|
||||
db.add(new_config)
|
||||
else:
|
||||
existing_config.data = data
|
||||
existing_config.updated_at = datetime.now()
|
||||
db.add(existing_config)
|
||||
db.commit()
|
||||
|
||||
|
||||
# When initializing, check if config.json exists and migrate it to the database
|
||||
if os.path.exists(f"{DATA_DIR}/config.json"):
|
||||
data = load_json_config()
|
||||
save_to_db(data)
|
||||
os.rename(f"{DATA_DIR}/config.json", f"{DATA_DIR}/old_config.json")
|
||||
|
||||
|
||||
def save_config():
|
||||
try:
|
||||
with open(f"{DATA_DIR}/config.json", "w") as f:
|
||||
@@ -224,6 +127,68 @@ def save_config():
|
||||
log.exception(e)
|
||||
|
||||
|
||||
DEFAULT_CONFIG = {
|
||||
"version": 0,
|
||||
"ui": {
|
||||
"default_locale": "",
|
||||
"prompt_suggestions": [
|
||||
{
|
||||
"title": [
|
||||
"Help me study",
|
||||
"vocabulary for a college entrance exam",
|
||||
],
|
||||
"content": "Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option.",
|
||||
},
|
||||
{
|
||||
"title": [
|
||||
"Give me ideas",
|
||||
"for what to do with my kids' art",
|
||||
],
|
||||
"content": "What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter.",
|
||||
},
|
||||
{
|
||||
"title": ["Tell me a fun fact", "about the Roman Empire"],
|
||||
"content": "Tell me a random fun fact about the Roman Empire",
|
||||
},
|
||||
{
|
||||
"title": [
|
||||
"Show me a code snippet",
|
||||
"of a website's sticky header",
|
||||
],
|
||||
"content": "Show me a code snippet of a website's sticky header in CSS and JavaScript.",
|
||||
},
|
||||
{
|
||||
"title": [
|
||||
"Explain options trading",
|
||||
"if I'm familiar with buying and selling stocks",
|
||||
],
|
||||
"content": "Explain options trading in simple terms if I'm familiar with buying and selling stocks.",
|
||||
},
|
||||
{
|
||||
"title": ["Overcome procrastination", "give me tips"],
|
||||
"content": "Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?",
|
||||
},
|
||||
{
|
||||
"title": [
|
||||
"Grammar check",
|
||||
"rewrite it for better readability ",
|
||||
],
|
||||
"content": 'Check the following sentence for grammar and clarity: "[sentence]". Rewrite it for better readability while maintaining its original meaning.',
|
||||
},
|
||||
],
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def get_config():
|
||||
with get_db() as db:
|
||||
config_entry = db.query(Config).order_by(Config.id.desc()).first()
|
||||
return config_entry.data if config_entry else DEFAULT_CONFIG
|
||||
|
||||
|
||||
CONFIG_DATA = get_config()
|
||||
|
||||
|
||||
def get_config_value(config_path: str):
|
||||
path_parts = config_path.split(".")
|
||||
cur_config = CONFIG_DATA
|
||||
@@ -245,7 +210,7 @@ class PersistentConfig(Generic[T]):
|
||||
self.env_value = env_value
|
||||
self.config_value = get_config_value(config_path)
|
||||
if self.config_value is not None:
|
||||
log.info(f"'{env_name}' loaded from config.json")
|
||||
log.info(f"'{env_name}' loaded from the latest database entry")
|
||||
self.value = self.config_value
|
||||
else:
|
||||
self.value = env_value
|
||||
@@ -267,19 +232,15 @@ class PersistentConfig(Generic[T]):
|
||||
return super().__getattribute__(item)
|
||||
|
||||
def save(self):
|
||||
# Don't save if the value is the same as the env value and the config value
|
||||
if self.env_value == self.value:
|
||||
if self.config_value == self.value:
|
||||
return
|
||||
log.info(f"Saving '{self.env_name}' to config.json")
|
||||
log.info(f"Saving '{self.env_name}' to the database")
|
||||
path_parts = self.config_path.split(".")
|
||||
config = CONFIG_DATA
|
||||
sub_config = CONFIG_DATA
|
||||
for key in path_parts[:-1]:
|
||||
if key not in config:
|
||||
config[key] = {}
|
||||
config = config[key]
|
||||
config[path_parts[-1]] = self.value
|
||||
save_config()
|
||||
if key not in sub_config:
|
||||
sub_config[key] = {}
|
||||
sub_config = sub_config[key]
|
||||
sub_config[path_parts[-1]] = self.value
|
||||
save_to_db(CONFIG_DATA)
|
||||
self.config_value = self.value
|
||||
|
||||
|
||||
@@ -304,11 +265,6 @@ class AppConfig:
|
||||
# WEBUI_AUTH (Required for security)
|
||||
####################################
|
||||
|
||||
WEBUI_AUTH = os.environ.get("WEBUI_AUTH", "True").lower() == "true"
|
||||
WEBUI_AUTH_TRUSTED_EMAIL_HEADER = os.environ.get(
|
||||
"WEBUI_AUTH_TRUSTED_EMAIL_HEADER", None
|
||||
)
|
||||
WEBUI_AUTH_TRUSTED_NAME_HEADER = os.environ.get("WEBUI_AUTH_TRUSTED_NAME_HEADER", None)
|
||||
JWT_EXPIRES_IN = PersistentConfig(
|
||||
"JWT_EXPIRES_IN", "auth.jwt_expiry", os.environ.get("JWT_EXPIRES_IN", "-1")
|
||||
)
|
||||
@@ -433,6 +389,12 @@ OAUTH_PICTURE_CLAIM = PersistentConfig(
|
||||
os.environ.get("OAUTH_PICTURE_CLAIM", "picture"),
|
||||
)
|
||||
|
||||
OAUTH_EMAIL_CLAIM = PersistentConfig(
|
||||
"OAUTH_EMAIL_CLAIM",
|
||||
"oauth.oidc.email_claim",
|
||||
os.environ.get("OAUTH_EMAIL_CLAIM", "email"),
|
||||
)
|
||||
|
||||
|
||||
def load_oauth_providers():
|
||||
OAUTH_PROVIDERS.clear()
|
||||
@@ -641,7 +603,7 @@ if AIOHTTP_CLIENT_TIMEOUT == "":
|
||||
else:
|
||||
try:
|
||||
AIOHTTP_CLIENT_TIMEOUT = int(AIOHTTP_CLIENT_TIMEOUT)
|
||||
except:
|
||||
except Exception:
|
||||
AIOHTTP_CLIENT_TIMEOUT = 300
|
||||
|
||||
|
||||
@@ -721,7 +683,7 @@ try:
|
||||
OPENAI_API_KEY = OPENAI_API_KEYS.value[
|
||||
OPENAI_API_BASE_URLS.value.index("https://api.openai.com/v1")
|
||||
]
|
||||
except:
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
OPENAI_API_BASE_URL = "https://api.openai.com/v1"
|
||||
@@ -800,10 +762,24 @@ USER_PERMISSIONS_CHAT_DELETION = (
|
||||
os.environ.get("USER_PERMISSIONS_CHAT_DELETION", "True").lower() == "true"
|
||||
)
|
||||
|
||||
USER_PERMISSIONS_CHAT_EDITING = (
|
||||
os.environ.get("USER_PERMISSIONS_CHAT_EDITING", "True").lower() == "true"
|
||||
)
|
||||
|
||||
USER_PERMISSIONS_CHAT_TEMPORARY = (
|
||||
os.environ.get("USER_PERMISSIONS_CHAT_TEMPORARY", "True").lower() == "true"
|
||||
)
|
||||
|
||||
USER_PERMISSIONS = PersistentConfig(
|
||||
"USER_PERMISSIONS",
|
||||
"ui.user_permissions",
|
||||
{"chat": {"deletion": USER_PERMISSIONS_CHAT_DELETION}},
|
||||
{
|
||||
"chat": {
|
||||
"deletion": USER_PERMISSIONS_CHAT_DELETION,
|
||||
"editing": USER_PERMISSIONS_CHAT_EDITING,
|
||||
"temporary": USER_PERMISSIONS_CHAT_TEMPORARY,
|
||||
}
|
||||
},
|
||||
)
|
||||
|
||||
ENABLE_MODEL_FILTER = PersistentConfig(
|
||||
@@ -834,6 +810,47 @@ ENABLE_COMMUNITY_SHARING = PersistentConfig(
|
||||
os.environ.get("ENABLE_COMMUNITY_SHARING", "True").lower() == "true",
|
||||
)
|
||||
|
||||
ENABLE_MESSAGE_RATING = PersistentConfig(
|
||||
"ENABLE_MESSAGE_RATING",
|
||||
"ui.enable_message_rating",
|
||||
os.environ.get("ENABLE_MESSAGE_RATING", "True").lower() == "true",
|
||||
)
|
||||
|
||||
|
||||
def validate_cors_origins(origins):
|
||||
for origin in origins:
|
||||
if origin != "*":
|
||||
validate_cors_origin(origin)
|
||||
|
||||
|
||||
def validate_cors_origin(origin):
|
||||
parsed_url = urlparse(origin)
|
||||
|
||||
# Check if the scheme is either http or https
|
||||
if parsed_url.scheme not in ["http", "https"]:
|
||||
raise ValueError(
|
||||
f"Invalid scheme in CORS_ALLOW_ORIGIN: '{origin}'. Only 'http' and 'https' are allowed."
|
||||
)
|
||||
|
||||
# Ensure that the netloc (domain + port) is present, indicating it's a valid URL
|
||||
if not parsed_url.netloc:
|
||||
raise ValueError(f"Invalid URL structure in CORS_ALLOW_ORIGIN: '{origin}'.")
|
||||
|
||||
|
||||
# For production, you should only need one host as
|
||||
# fastapi serves the svelte-kit built frontend and backend from the same host and port.
|
||||
# To test CORS_ALLOW_ORIGIN locally, you can set something like
|
||||
# CORS_ALLOW_ORIGIN=http://localhost:5173;http://localhost:8080
|
||||
# in your .env file depending on your frontend port, 5173 in this case.
|
||||
CORS_ALLOW_ORIGIN = os.environ.get("CORS_ALLOW_ORIGIN", "*").split(";")
|
||||
|
||||
if "*" in CORS_ALLOW_ORIGIN:
|
||||
log.warning(
|
||||
"\n\nWARNING: CORS_ALLOW_ORIGIN IS SET TO '*' - NOT RECOMMENDED FOR PRODUCTION DEPLOYMENTS.\n"
|
||||
)
|
||||
|
||||
validate_cors_origins(CORS_ALLOW_ORIGIN)
|
||||
|
||||
|
||||
class BannerModel(BaseModel):
|
||||
id: str
|
||||
@@ -889,10 +906,7 @@ TITLE_GENERATION_PROMPT_TEMPLATE = PersistentConfig(
|
||||
"task.title.prompt_template",
|
||||
os.environ.get(
|
||||
"TITLE_GENERATION_PROMPT_TEMPLATE",
|
||||
"""Here is the query:
|
||||
{{prompt:middletruncate:8000}}
|
||||
|
||||
Create a concise, 3-5 word phrase with an emoji as a title for the previous query. Suitable Emojis for the summary can be used to enhance understanding but avoid quotation marks or special formatting. RESPOND ONLY WITH THE TITLE TEXT.
|
||||
"""Create a concise, 3-5 word title with an emoji as a title for the prompt in the given language. Suitable Emojis for the summary can be used to enhance understanding but avoid quotation marks or special formatting. RESPOND ONLY WITH THE TITLE TEXT.
|
||||
|
||||
Examples of titles:
|
||||
📉 Stock Market Trends
|
||||
@@ -900,7 +914,9 @@ Examples of titles:
|
||||
Evolution of Music Streaming
|
||||
Remote Work Productivity Tips
|
||||
Artificial Intelligence in Healthcare
|
||||
🎮 Video Game Development Insights""",
|
||||
🎮 Video Game Development Insights
|
||||
|
||||
Prompt: {{prompt:middletruncate:8000}}""",
|
||||
),
|
||||
)
|
||||
|
||||
@@ -933,36 +949,11 @@ TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE = PersistentConfig(
|
||||
"task.tools.prompt_template",
|
||||
os.environ.get(
|
||||
"TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE",
|
||||
"""Tools: {{TOOLS}}
|
||||
If a function tool doesn't match the query, return an empty string. Else, pick a function tool, fill in the parameters from the function tool's schema, and return it in the format { "name": \"functionName\", "parameters": { "key": "value" } }. Only pick a function if the user asks. Only return the object. Do not return any other text.""",
|
||||
"""Available Tools: {{TOOLS}}\nReturn an empty string if no tools match the query. If a function tool matches, construct and return a JSON object in the format {\"name\": \"functionName\", \"parameters\": {\"requiredFunctionParamKey\": \"requiredFunctionParamValue\"}} using the appropriate tool and its parameters. Only return the object and limit the response to the JSON object without additional text.""",
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
####################################
|
||||
# WEBUI_SECRET_KEY
|
||||
####################################
|
||||
|
||||
WEBUI_SECRET_KEY = os.environ.get(
|
||||
"WEBUI_SECRET_KEY",
|
||||
os.environ.get(
|
||||
"WEBUI_JWT_SECRET_KEY", "t0p-s3cr3t"
|
||||
), # DEPRECATED: remove at next major version
|
||||
)
|
||||
|
||||
WEBUI_SESSION_COOKIE_SAME_SITE = os.environ.get(
|
||||
"WEBUI_SESSION_COOKIE_SAME_SITE",
|
||||
os.environ.get("WEBUI_SESSION_COOKIE_SAME_SITE", "lax"),
|
||||
)
|
||||
|
||||
WEBUI_SESSION_COOKIE_SECURE = os.environ.get(
|
||||
"WEBUI_SESSION_COOKIE_SECURE",
|
||||
os.environ.get("WEBUI_SESSION_COOKIE_SECURE", "false").lower() == "true",
|
||||
)
|
||||
|
||||
if WEBUI_AUTH and WEBUI_SECRET_KEY == "":
|
||||
raise ValueError(ERROR_MESSAGES.ENV_VAR_NOT_FOUND)
|
||||
|
||||
####################################
|
||||
# RAG document content extraction
|
||||
####################################
|
||||
@@ -1014,6 +1005,26 @@ ENABLE_RAG_HYBRID_SEARCH = PersistentConfig(
|
||||
os.environ.get("ENABLE_RAG_HYBRID_SEARCH", "").lower() == "true",
|
||||
)
|
||||
|
||||
RAG_FILE_MAX_COUNT = PersistentConfig(
|
||||
"RAG_FILE_MAX_COUNT",
|
||||
"rag.file.max_count",
|
||||
(
|
||||
int(os.environ.get("RAG_FILE_MAX_COUNT"))
|
||||
if os.environ.get("RAG_FILE_MAX_COUNT")
|
||||
else None
|
||||
),
|
||||
)
|
||||
|
||||
RAG_FILE_MAX_SIZE = PersistentConfig(
|
||||
"RAG_FILE_MAX_SIZE",
|
||||
"rag.file.max_size",
|
||||
(
|
||||
int(os.environ.get("RAG_FILE_MAX_SIZE"))
|
||||
if os.environ.get("RAG_FILE_MAX_SIZE")
|
||||
else None
|
||||
),
|
||||
)
|
||||
|
||||
ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION = PersistentConfig(
|
||||
"ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION",
|
||||
"rag.enable_web_loader_ssl_verification",
|
||||
@@ -1037,7 +1048,7 @@ RAG_EMBEDDING_MODEL = PersistentConfig(
|
||||
"rag.embedding_model",
|
||||
os.environ.get("RAG_EMBEDDING_MODEL", "sentence-transformers/all-MiniLM-L6-v2"),
|
||||
)
|
||||
log.info(f"Embedding model set: {RAG_EMBEDDING_MODEL.value}"),
|
||||
log.info(f"Embedding model set: {RAG_EMBEDDING_MODEL.value}")
|
||||
|
||||
RAG_EMBEDDING_MODEL_AUTO_UPDATE = (
|
||||
os.environ.get("RAG_EMBEDDING_MODEL_AUTO_UPDATE", "").lower() == "true"
|
||||
@@ -1050,7 +1061,7 @@ RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE = (
|
||||
RAG_EMBEDDING_OPENAI_BATCH_SIZE = PersistentConfig(
|
||||
"RAG_EMBEDDING_OPENAI_BATCH_SIZE",
|
||||
"rag.embedding_openai_batch_size",
|
||||
os.environ.get("RAG_EMBEDDING_OPENAI_BATCH_SIZE", 1),
|
||||
int(os.environ.get("RAG_EMBEDDING_OPENAI_BATCH_SIZE", "1")),
|
||||
)
|
||||
|
||||
RAG_RERANKING_MODEL = PersistentConfig(
|
||||
@@ -1059,7 +1070,7 @@ RAG_RERANKING_MODEL = PersistentConfig(
|
||||
os.environ.get("RAG_RERANKING_MODEL", ""),
|
||||
)
|
||||
if RAG_RERANKING_MODEL.value != "":
|
||||
log.info(f"Reranking model set: {RAG_RERANKING_MODEL.value}"),
|
||||
log.info(f"Reranking model set: {RAG_RERANKING_MODEL.value}")
|
||||
|
||||
RAG_RERANKING_MODEL_AUTO_UPDATE = (
|
||||
os.environ.get("RAG_RERANKING_MODEL_AUTO_UPDATE", "").lower() == "true"
|
||||
@@ -1257,7 +1268,7 @@ WHISPER_MODEL_AUTO_UPDATE = (
|
||||
IMAGE_GENERATION_ENGINE = PersistentConfig(
|
||||
"IMAGE_GENERATION_ENGINE",
|
||||
"image_generation.engine",
|
||||
os.getenv("IMAGE_GENERATION_ENGINE", ""),
|
||||
os.getenv("IMAGE_GENERATION_ENGINE", "openai"),
|
||||
)
|
||||
|
||||
ENABLE_IMAGE_GENERATION = PersistentConfig(
|
||||
@@ -1282,46 +1293,127 @@ COMFYUI_BASE_URL = PersistentConfig(
|
||||
os.getenv("COMFYUI_BASE_URL", ""),
|
||||
)
|
||||
|
||||
COMFYUI_CFG_SCALE = PersistentConfig(
|
||||
"COMFYUI_CFG_SCALE",
|
||||
"image_generation.comfyui.cfg_scale",
|
||||
os.getenv("COMFYUI_CFG_SCALE", ""),
|
||||
COMFYUI_DEFAULT_WORKFLOW = """
|
||||
{
|
||||
"3": {
|
||||
"inputs": {
|
||||
"seed": 0,
|
||||
"steps": 20,
|
||||
"cfg": 8,
|
||||
"sampler_name": "euler",
|
||||
"scheduler": "normal",
|
||||
"denoise": 1,
|
||||
"model": [
|
||||
"4",
|
||||
0
|
||||
],
|
||||
"positive": [
|
||||
"6",
|
||||
0
|
||||
],
|
||||
"negative": [
|
||||
"7",
|
||||
0
|
||||
],
|
||||
"latent_image": [
|
||||
"5",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "KSampler",
|
||||
"_meta": {
|
||||
"title": "KSampler"
|
||||
}
|
||||
},
|
||||
"4": {
|
||||
"inputs": {
|
||||
"ckpt_name": "model.safetensors"
|
||||
},
|
||||
"class_type": "CheckpointLoaderSimple",
|
||||
"_meta": {
|
||||
"title": "Load Checkpoint"
|
||||
}
|
||||
},
|
||||
"5": {
|
||||
"inputs": {
|
||||
"width": 512,
|
||||
"height": 512,
|
||||
"batch_size": 1
|
||||
},
|
||||
"class_type": "EmptyLatentImage",
|
||||
"_meta": {
|
||||
"title": "Empty Latent Image"
|
||||
}
|
||||
},
|
||||
"6": {
|
||||
"inputs": {
|
||||
"text": "Prompt",
|
||||
"clip": [
|
||||
"4",
|
||||
1
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncode",
|
||||
"_meta": {
|
||||
"title": "CLIP Text Encode (Prompt)"
|
||||
}
|
||||
},
|
||||
"7": {
|
||||
"inputs": {
|
||||
"text": "",
|
||||
"clip": [
|
||||
"4",
|
||||
1
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncode",
|
||||
"_meta": {
|
||||
"title": "CLIP Text Encode (Prompt)"
|
||||
}
|
||||
},
|
||||
"8": {
|
||||
"inputs": {
|
||||
"samples": [
|
||||
"3",
|
||||
0
|
||||
],
|
||||
"vae": [
|
||||
"4",
|
||||
2
|
||||
]
|
||||
},
|
||||
"class_type": "VAEDecode",
|
||||
"_meta": {
|
||||
"title": "VAE Decode"
|
||||
}
|
||||
},
|
||||
"9": {
|
||||
"inputs": {
|
||||
"filename_prefix": "ComfyUI",
|
||||
"images": [
|
||||
"8",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "SaveImage",
|
||||
"_meta": {
|
||||
"title": "Save Image"
|
||||
}
|
||||
}
|
||||
}
|
||||
"""
|
||||
|
||||
|
||||
COMFYUI_WORKFLOW = PersistentConfig(
|
||||
"COMFYUI_WORKFLOW",
|
||||
"image_generation.comfyui.workflow",
|
||||
os.getenv("COMFYUI_WORKFLOW", COMFYUI_DEFAULT_WORKFLOW),
|
||||
)
|
||||
|
||||
COMFYUI_SAMPLER = PersistentConfig(
|
||||
"COMFYUI_SAMPLER",
|
||||
"image_generation.comfyui.sampler",
|
||||
os.getenv("COMFYUI_SAMPLER", ""),
|
||||
)
|
||||
|
||||
COMFYUI_SCHEDULER = PersistentConfig(
|
||||
"COMFYUI_SCHEDULER",
|
||||
"image_generation.comfyui.scheduler",
|
||||
os.getenv("COMFYUI_SCHEDULER", ""),
|
||||
)
|
||||
|
||||
COMFYUI_SD3 = PersistentConfig(
|
||||
"COMFYUI_SD3",
|
||||
"image_generation.comfyui.sd3",
|
||||
os.environ.get("COMFYUI_SD3", "").lower() == "true",
|
||||
)
|
||||
|
||||
COMFYUI_FLUX = PersistentConfig(
|
||||
"COMFYUI_FLUX",
|
||||
"image_generation.comfyui.flux",
|
||||
os.environ.get("COMFYUI_FLUX", "").lower() == "true",
|
||||
)
|
||||
|
||||
COMFYUI_FLUX_WEIGHT_DTYPE = PersistentConfig(
|
||||
"COMFYUI_FLUX_WEIGHT_DTYPE",
|
||||
"image_generation.comfyui.flux_weight_dtype",
|
||||
os.getenv("COMFYUI_FLUX_WEIGHT_DTYPE", ""),
|
||||
)
|
||||
|
||||
COMFYUI_FLUX_FP8_CLIP = PersistentConfig(
|
||||
"COMFYUI_FLUX_FP8_CLIP",
|
||||
"image_generation.comfyui.flux_fp8_clip",
|
||||
os.environ.get("COMFYUI_FLUX_FP8_CLIP", "").lower() == "true",
|
||||
COMFYUI_WORKFLOW_NODES = PersistentConfig(
|
||||
"COMFYUI_WORKFLOW",
|
||||
"image_generation.comfyui.nodes",
|
||||
[],
|
||||
)
|
||||
|
||||
IMAGES_OPENAI_API_BASE_URL = PersistentConfig(
|
||||
@@ -1404,22 +1496,17 @@ AUDIO_TTS_ENGINE = PersistentConfig(
|
||||
AUDIO_TTS_MODEL = PersistentConfig(
|
||||
"AUDIO_TTS_MODEL",
|
||||
"audio.tts.model",
|
||||
os.getenv("AUDIO_TTS_MODEL", "tts-1"),
|
||||
os.getenv("AUDIO_TTS_MODEL", "tts-1"), # OpenAI default model
|
||||
)
|
||||
|
||||
AUDIO_TTS_VOICE = PersistentConfig(
|
||||
"AUDIO_TTS_VOICE",
|
||||
"audio.tts.voice",
|
||||
os.getenv("AUDIO_TTS_VOICE", "alloy"),
|
||||
os.getenv("AUDIO_TTS_VOICE", "alloy"), # OpenAI default voice
|
||||
)
|
||||
|
||||
|
||||
####################################
|
||||
# Database
|
||||
####################################
|
||||
|
||||
DATABASE_URL = os.environ.get("DATABASE_URL", f"sqlite:///{DATA_DIR}/webui.db")
|
||||
|
||||
# Replace the postgres:// with postgresql://
|
||||
if "postgres://" in DATABASE_URL:
|
||||
DATABASE_URL = DATABASE_URL.replace("postgres://", "postgresql://")
|
||||
AUDIO_TTS_SPLIT_ON = PersistentConfig(
|
||||
"AUDIO_TTS_SPLIT_ON",
|
||||
"audio.tts.split_on",
|
||||
os.getenv("AUDIO_TTS_SPLIT_ON", "punctuation"),
|
||||
)
|
||||
|
||||
@@ -100,3 +100,4 @@ class TASKS(str, Enum):
|
||||
EMOJI_GENERATION = "emoji_generation"
|
||||
QUERY_GENERATION = "query_generation"
|
||||
FUNCTION_CALLING = "function_calling"
|
||||
MOA_RESPONSE_GENERATION = "moa_response_generation"
|
||||
|
||||
@@ -1,36 +0,0 @@
|
||||
{
|
||||
"version": 0,
|
||||
"ui": {
|
||||
"default_locale": "",
|
||||
"prompt_suggestions": [
|
||||
{
|
||||
"title": ["Help me study", "vocabulary for a college entrance exam"],
|
||||
"content": "Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option."
|
||||
},
|
||||
{
|
||||
"title": ["Give me ideas", "for what to do with my kids' art"],
|
||||
"content": "What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter."
|
||||
},
|
||||
{
|
||||
"title": ["Tell me a fun fact", "about the Roman Empire"],
|
||||
"content": "Tell me a random fun fact about the Roman Empire"
|
||||
},
|
||||
{
|
||||
"title": ["Show me a code snippet", "of a website's sticky header"],
|
||||
"content": "Show me a code snippet of a website's sticky header in CSS and JavaScript."
|
||||
},
|
||||
{
|
||||
"title": ["Explain options trading", "if I'm familiar with buying and selling stocks"],
|
||||
"content": "Explain options trading in simple terms if I'm familiar with buying and selling stocks."
|
||||
},
|
||||
{
|
||||
"title": ["Overcome procrastination", "give me tips"],
|
||||
"content": "Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?"
|
||||
},
|
||||
{
|
||||
"title": ["Grammar check", "rewrite it for better readability "],
|
||||
"content": "Check the following sentence for grammar and clarity: \"[sentence]\". Rewrite it for better readability while maintaining its original meaning."
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
+252
@@ -0,0 +1,252 @@
|
||||
from pathlib import Path
|
||||
import os
|
||||
import logging
|
||||
import sys
|
||||
import json
|
||||
|
||||
|
||||
import importlib.metadata
|
||||
import pkgutil
|
||||
from urllib.parse import urlparse
|
||||
from datetime import datetime
|
||||
|
||||
|
||||
import markdown
|
||||
from bs4 import BeautifulSoup
|
||||
|
||||
from constants import ERROR_MESSAGES
|
||||
|
||||
####################################
|
||||
# Load .env file
|
||||
####################################
|
||||
|
||||
BACKEND_DIR = Path(__file__).parent # the path containing this file
|
||||
BASE_DIR = BACKEND_DIR.parent # the path containing the backend/
|
||||
|
||||
print(BASE_DIR)
|
||||
|
||||
try:
|
||||
from dotenv import load_dotenv, find_dotenv
|
||||
|
||||
load_dotenv(find_dotenv(str(BASE_DIR / ".env")))
|
||||
except ImportError:
|
||||
print("dotenv not installed, skipping...")
|
||||
|
||||
|
||||
####################################
|
||||
# LOGGING
|
||||
####################################
|
||||
|
||||
log_levels = ["CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG"]
|
||||
|
||||
GLOBAL_LOG_LEVEL = os.environ.get("GLOBAL_LOG_LEVEL", "").upper()
|
||||
if GLOBAL_LOG_LEVEL in log_levels:
|
||||
logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL, force=True)
|
||||
else:
|
||||
GLOBAL_LOG_LEVEL = "INFO"
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
log.info(f"GLOBAL_LOG_LEVEL: {GLOBAL_LOG_LEVEL}")
|
||||
|
||||
log_sources = [
|
||||
"AUDIO",
|
||||
"COMFYUI",
|
||||
"CONFIG",
|
||||
"DB",
|
||||
"IMAGES",
|
||||
"MAIN",
|
||||
"MODELS",
|
||||
"OLLAMA",
|
||||
"OPENAI",
|
||||
"RAG",
|
||||
"WEBHOOK",
|
||||
]
|
||||
|
||||
SRC_LOG_LEVELS = {}
|
||||
|
||||
for source in log_sources:
|
||||
log_env_var = source + "_LOG_LEVEL"
|
||||
SRC_LOG_LEVELS[source] = os.environ.get(log_env_var, "").upper()
|
||||
if SRC_LOG_LEVELS[source] not in log_levels:
|
||||
SRC_LOG_LEVELS[source] = GLOBAL_LOG_LEVEL
|
||||
log.info(f"{log_env_var}: {SRC_LOG_LEVELS[source]}")
|
||||
|
||||
log.setLevel(SRC_LOG_LEVELS["CONFIG"])
|
||||
|
||||
|
||||
WEBUI_NAME = os.environ.get("WEBUI_NAME", "Open WebUI")
|
||||
if WEBUI_NAME != "Open WebUI":
|
||||
WEBUI_NAME += " (Open WebUI)"
|
||||
|
||||
WEBUI_URL = os.environ.get("WEBUI_URL", "http://localhost:3000")
|
||||
|
||||
WEBUI_FAVICON_URL = "https://openwebui.com/favicon.png"
|
||||
|
||||
|
||||
####################################
|
||||
# ENV (dev,test,prod)
|
||||
####################################
|
||||
|
||||
ENV = os.environ.get("ENV", "dev")
|
||||
|
||||
try:
|
||||
PACKAGE_DATA = json.loads((BASE_DIR / "package.json").read_text())
|
||||
except Exception:
|
||||
try:
|
||||
PACKAGE_DATA = {"version": importlib.metadata.version("open-webui")}
|
||||
except importlib.metadata.PackageNotFoundError:
|
||||
PACKAGE_DATA = {"version": "0.0.0"}
|
||||
|
||||
VERSION = PACKAGE_DATA["version"]
|
||||
|
||||
|
||||
# Function to parse each section
|
||||
def parse_section(section):
|
||||
items = []
|
||||
for li in section.find_all("li"):
|
||||
# Extract raw HTML string
|
||||
raw_html = str(li)
|
||||
|
||||
# Extract text without HTML tags
|
||||
text = li.get_text(separator=" ", strip=True)
|
||||
|
||||
# Split into title and content
|
||||
parts = text.split(": ", 1)
|
||||
title = parts[0].strip() if len(parts) > 1 else ""
|
||||
content = parts[1].strip() if len(parts) > 1 else text
|
||||
|
||||
items.append({"title": title, "content": content, "raw": raw_html})
|
||||
return items
|
||||
|
||||
|
||||
try:
|
||||
changelog_path = BASE_DIR / "CHANGELOG.md"
|
||||
with open(str(changelog_path.absolute()), "r", encoding="utf8") as file:
|
||||
changelog_content = file.read()
|
||||
|
||||
except Exception:
|
||||
changelog_content = (pkgutil.get_data("open_webui", "CHANGELOG.md") or b"").decode()
|
||||
|
||||
|
||||
# Convert markdown content to HTML
|
||||
html_content = markdown.markdown(changelog_content)
|
||||
|
||||
# Parse the HTML content
|
||||
soup = BeautifulSoup(html_content, "html.parser")
|
||||
|
||||
# Initialize JSON structure
|
||||
changelog_json = {}
|
||||
|
||||
# Iterate over each version
|
||||
for version in soup.find_all("h2"):
|
||||
version_number = version.get_text().strip().split(" - ")[0][1:-1] # Remove brackets
|
||||
date = version.get_text().strip().split(" - ")[1]
|
||||
|
||||
version_data = {"date": date}
|
||||
|
||||
# Find the next sibling that is a h3 tag (section title)
|
||||
current = version.find_next_sibling()
|
||||
|
||||
while current and current.name != "h2":
|
||||
if current.name == "h3":
|
||||
section_title = current.get_text().lower() # e.g., "added", "fixed"
|
||||
section_items = parse_section(current.find_next_sibling("ul"))
|
||||
version_data[section_title] = section_items
|
||||
|
||||
# Move to the next element
|
||||
current = current.find_next_sibling()
|
||||
|
||||
changelog_json[version_number] = version_data
|
||||
|
||||
|
||||
CHANGELOG = changelog_json
|
||||
|
||||
####################################
|
||||
# SAFE_MODE
|
||||
####################################
|
||||
|
||||
SAFE_MODE = os.environ.get("SAFE_MODE", "false").lower() == "true"
|
||||
|
||||
####################################
|
||||
# WEBUI_BUILD_HASH
|
||||
####################################
|
||||
|
||||
WEBUI_BUILD_HASH = os.environ.get("WEBUI_BUILD_HASH", "dev-build")
|
||||
|
||||
####################################
|
||||
# DATA/FRONTEND BUILD DIR
|
||||
####################################
|
||||
|
||||
DATA_DIR = Path(os.getenv("DATA_DIR", BACKEND_DIR / "data")).resolve()
|
||||
FRONTEND_BUILD_DIR = Path(os.getenv("FRONTEND_BUILD_DIR", BASE_DIR / "build")).resolve()
|
||||
|
||||
RESET_CONFIG_ON_START = (
|
||||
os.environ.get("RESET_CONFIG_ON_START", "False").lower() == "true"
|
||||
)
|
||||
if RESET_CONFIG_ON_START:
|
||||
try:
|
||||
os.remove(f"{DATA_DIR}/config.json")
|
||||
with open(f"{DATA_DIR}/config.json", "w") as f:
|
||||
f.write("{}")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
try:
|
||||
CONFIG_DATA = json.loads((DATA_DIR / "config.json").read_text())
|
||||
except Exception:
|
||||
CONFIG_DATA = {}
|
||||
|
||||
|
||||
####################################
|
||||
# Database
|
||||
####################################
|
||||
|
||||
# Check if the file exists
|
||||
if os.path.exists(f"{DATA_DIR}/ollama.db"):
|
||||
# Rename the file
|
||||
os.rename(f"{DATA_DIR}/ollama.db", f"{DATA_DIR}/webui.db")
|
||||
log.info("Database migrated from Ollama-WebUI successfully.")
|
||||
else:
|
||||
pass
|
||||
|
||||
DATABASE_URL = os.environ.get("DATABASE_URL", f"sqlite:///{DATA_DIR}/webui.db")
|
||||
|
||||
# Replace the postgres:// with postgresql://
|
||||
if "postgres://" in DATABASE_URL:
|
||||
DATABASE_URL = DATABASE_URL.replace("postgres://", "postgresql://")
|
||||
|
||||
|
||||
####################################
|
||||
# WEBUI_AUTH (Required for security)
|
||||
####################################
|
||||
|
||||
WEBUI_AUTH = os.environ.get("WEBUI_AUTH", "True").lower() == "true"
|
||||
WEBUI_AUTH_TRUSTED_EMAIL_HEADER = os.environ.get(
|
||||
"WEBUI_AUTH_TRUSTED_EMAIL_HEADER", None
|
||||
)
|
||||
WEBUI_AUTH_TRUSTED_NAME_HEADER = os.environ.get("WEBUI_AUTH_TRUSTED_NAME_HEADER", None)
|
||||
|
||||
|
||||
####################################
|
||||
# WEBUI_SECRET_KEY
|
||||
####################################
|
||||
|
||||
WEBUI_SECRET_KEY = os.environ.get(
|
||||
"WEBUI_SECRET_KEY",
|
||||
os.environ.get(
|
||||
"WEBUI_JWT_SECRET_KEY", "t0p-s3cr3t"
|
||||
), # DEPRECATED: remove at next major version
|
||||
)
|
||||
|
||||
WEBUI_SESSION_COOKIE_SAME_SITE = os.environ.get(
|
||||
"WEBUI_SESSION_COOKIE_SAME_SITE",
|
||||
os.environ.get("WEBUI_SESSION_COOKIE_SAME_SITE", "lax"),
|
||||
)
|
||||
|
||||
WEBUI_SESSION_COOKIE_SECURE = os.environ.get(
|
||||
"WEBUI_SESSION_COOKIE_SECURE",
|
||||
os.environ.get("WEBUI_SESSION_COOKIE_SECURE", "false").lower() == "true",
|
||||
)
|
||||
|
||||
if WEBUI_AUTH and WEBUI_SECRET_KEY == "":
|
||||
raise ValueError(ERROR_MESSAGES.ENV_VAR_NOT_FOUND)
|
||||
+471
-520
File diff suppressed because it is too large
Load Diff
@@ -18,7 +18,7 @@ from apps.webui.models.users import User
|
||||
from apps.webui.models.files import File
|
||||
from apps.webui.models.functions import Function
|
||||
|
||||
from config import DATABASE_URL
|
||||
from env import DATABASE_URL
|
||||
|
||||
# this is the Alembic Config object, which provides
|
||||
# access to the values within the .ini file in use.
|
||||
|
||||
@@ -0,0 +1,43 @@
|
||||
"""Add config table
|
||||
|
||||
Revision ID: ca81bd47c050
|
||||
Revises: 7e5b5dc7342b
|
||||
Create Date: 2024-08-25 15:26:35.241684
|
||||
|
||||
"""
|
||||
|
||||
from typing import Sequence, Union
|
||||
|
||||
from alembic import op
|
||||
import sqlalchemy as sa
|
||||
import apps.webui.internal.db
|
||||
|
||||
|
||||
# revision identifiers, used by Alembic.
|
||||
revision: str = "ca81bd47c050"
|
||||
down_revision: Union[str, None] = "7e5b5dc7342b"
|
||||
branch_labels: Union[str, Sequence[str], None] = None
|
||||
depends_on: Union[str, Sequence[str], None] = None
|
||||
|
||||
|
||||
def upgrade():
|
||||
op.create_table(
|
||||
"config",
|
||||
sa.Column("id", sa.Integer, primary_key=True),
|
||||
sa.Column("data", sa.JSON(), nullable=False),
|
||||
sa.Column("version", sa.Integer, nullable=False),
|
||||
sa.Column(
|
||||
"created_at", sa.DateTime(), nullable=False, server_default=sa.func.now()
|
||||
),
|
||||
sa.Column(
|
||||
"updated_at",
|
||||
sa.DateTime(),
|
||||
nullable=True,
|
||||
server_default=sa.func.now(),
|
||||
onupdate=sa.func.now(),
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
def downgrade():
|
||||
op.drop_table("config")
|
||||
+15
-14
@@ -1,5 +1,5 @@
|
||||
fastapi==0.111.0
|
||||
uvicorn[standard]==0.22.0
|
||||
uvicorn[standard]==0.30.6
|
||||
pydantic==2.8.2
|
||||
python-multipart==0.0.9
|
||||
|
||||
@@ -11,19 +11,19 @@ python-jose==3.3.0
|
||||
passlib[bcrypt]==1.7.4
|
||||
|
||||
requests==2.32.3
|
||||
aiohttp==3.9.5
|
||||
aiohttp==3.10.2
|
||||
|
||||
sqlalchemy==2.0.31
|
||||
sqlalchemy==2.0.32
|
||||
alembic==1.13.2
|
||||
peewee==3.17.6
|
||||
peewee-migrate==1.12.2
|
||||
psycopg2-binary==2.9.9
|
||||
PyMySQL==1.1.1
|
||||
bcrypt==4.1.3
|
||||
bcrypt==4.2.0
|
||||
|
||||
pymongo
|
||||
redis
|
||||
boto3==1.34.153
|
||||
boto3==1.35.0
|
||||
|
||||
argon2-cffi==23.1.0
|
||||
APScheduler==3.10.4
|
||||
@@ -34,18 +34,19 @@ anthropic
|
||||
google-generativeai==0.7.2
|
||||
tiktoken
|
||||
|
||||
langchain==0.2.11
|
||||
langchain-community==0.2.10
|
||||
langchain==0.2.14
|
||||
langchain-community==0.2.12
|
||||
langchain-chroma==0.1.2
|
||||
|
||||
fake-useragent==1.5.1
|
||||
chromadb==0.5.4
|
||||
chromadb==0.5.5
|
||||
sentence-transformers==3.0.1
|
||||
pypdf==4.3.1
|
||||
docx2txt==0.8
|
||||
python-pptx==1.0.0
|
||||
unstructured==0.15.0
|
||||
Markdown==3.6
|
||||
unstructured==0.15.7
|
||||
nltk==3.9.1
|
||||
Markdown==3.7
|
||||
pypandoc==1.13
|
||||
pandas==2.2.2
|
||||
openpyxl==3.1.5
|
||||
@@ -60,13 +61,13 @@ rapidocr-onnxruntime==1.3.24
|
||||
fpdf2==2.7.9
|
||||
rank-bm25==0.2.2
|
||||
|
||||
faster-whisper==1.0.2
|
||||
faster-whisper==1.0.3
|
||||
|
||||
PyJWT[crypto]==2.8.0
|
||||
PyJWT[crypto]==2.9.0
|
||||
authlib==1.3.1
|
||||
|
||||
black==24.8.0
|
||||
langfuse==2.39.2
|
||||
langfuse==2.44.0
|
||||
youtube-transcript-api==0.6.2
|
||||
pytube==15.0.0
|
||||
|
||||
@@ -76,5 +77,5 @@ duckduckgo-search~=6.2.1
|
||||
|
||||
## Tests
|
||||
docker~=7.1.0
|
||||
pytest~=8.2.2
|
||||
pytest~=8.3.2
|
||||
pytest-docker~=3.1.1
|
||||
|
||||
@@ -30,7 +30,6 @@ if [[ "${USE_CUDA_DOCKER,,}" == "true" ]]; then
|
||||
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/lib/python3.11/site-packages/torch/lib:/usr/local/lib/python3.11/site-packages/nvidia/cudnn/lib"
|
||||
fi
|
||||
|
||||
|
||||
# Check if SPACE_ID is set, if so, configure for space
|
||||
if [ -n "$SPACE_ID" ]; then
|
||||
echo "Configuring for HuggingFace Space deployment"
|
||||
|
||||
Binary file not shown.
+56
-15
@@ -2,14 +2,14 @@ from pathlib import Path
|
||||
import hashlib
|
||||
import re
|
||||
from datetime import timedelta
|
||||
from typing import Optional, List, Tuple
|
||||
from typing import Optional, Callable
|
||||
import uuid
|
||||
import time
|
||||
|
||||
from utils.task import prompt_template
|
||||
|
||||
|
||||
def get_last_user_message_item(messages: List[dict]) -> Optional[dict]:
|
||||
def get_last_user_message_item(messages: list[dict]) -> Optional[dict]:
|
||||
for message in reversed(messages):
|
||||
if message["role"] == "user":
|
||||
return message
|
||||
@@ -26,7 +26,7 @@ def get_content_from_message(message: dict) -> Optional[str]:
|
||||
return None
|
||||
|
||||
|
||||
def get_last_user_message(messages: List[dict]) -> Optional[str]:
|
||||
def get_last_user_message(messages: list[dict]) -> Optional[str]:
|
||||
message = get_last_user_message_item(messages)
|
||||
if message is None:
|
||||
return None
|
||||
@@ -34,31 +34,31 @@ def get_last_user_message(messages: List[dict]) -> Optional[str]:
|
||||
return get_content_from_message(message)
|
||||
|
||||
|
||||
def get_last_assistant_message(messages: List[dict]) -> Optional[str]:
|
||||
def get_last_assistant_message(messages: list[dict]) -> Optional[str]:
|
||||
for message in reversed(messages):
|
||||
if message["role"] == "assistant":
|
||||
return get_content_from_message(message)
|
||||
return None
|
||||
|
||||
|
||||
def get_system_message(messages: List[dict]) -> Optional[dict]:
|
||||
def get_system_message(messages: list[dict]) -> Optional[dict]:
|
||||
for message in messages:
|
||||
if message["role"] == "system":
|
||||
return message
|
||||
return None
|
||||
|
||||
|
||||
def remove_system_message(messages: List[dict]) -> List[dict]:
|
||||
def remove_system_message(messages: list[dict]) -> list[dict]:
|
||||
return [message for message in messages if message["role"] != "system"]
|
||||
|
||||
|
||||
def pop_system_message(messages: List[dict]) -> Tuple[Optional[dict], List[dict]]:
|
||||
def pop_system_message(messages: list[dict]) -> tuple[Optional[dict], list[dict]]:
|
||||
return get_system_message(messages), remove_system_message(messages)
|
||||
|
||||
|
||||
def prepend_to_first_user_message_content(
|
||||
content: str, messages: List[dict]
|
||||
) -> List[dict]:
|
||||
content: str, messages: list[dict]
|
||||
) -> list[dict]:
|
||||
for message in messages:
|
||||
if message["role"] == "user":
|
||||
if isinstance(message["content"], list):
|
||||
@@ -71,7 +71,7 @@ def prepend_to_first_user_message_content(
|
||||
return messages
|
||||
|
||||
|
||||
def add_or_update_system_message(content: str, messages: List[dict]):
|
||||
def add_or_update_system_message(content: str, messages: list[dict]):
|
||||
"""
|
||||
Adds a new system message at the beginning of the messages list
|
||||
or updates the existing system message at the beginning.
|
||||
@@ -82,7 +82,7 @@ def add_or_update_system_message(content: str, messages: List[dict]):
|
||||
"""
|
||||
|
||||
if messages and messages[0].get("role") == "system":
|
||||
messages[0]["content"] += f"{content}\n{messages[0]['content']}"
|
||||
messages[0]["content"] = f"{content}\n{messages[0]['content']}"
|
||||
else:
|
||||
# Insert at the beginning
|
||||
messages.insert(0, {"role": "system", "content": content})
|
||||
@@ -135,10 +135,21 @@ def apply_model_system_prompt_to_body(params: dict, form_data: dict, user) -> di
|
||||
|
||||
|
||||
# inplace function: form_data is modified
|
||||
def apply_model_params_to_body(params: dict, form_data: dict) -> dict:
|
||||
def apply_model_params_to_body(
|
||||
params: dict, form_data: dict, mappings: dict[str, Callable]
|
||||
) -> dict:
|
||||
if not params:
|
||||
return form_data
|
||||
|
||||
for key, cast_func in mappings.items():
|
||||
if (value := params.get(key)) is not None:
|
||||
form_data[key] = cast_func(value)
|
||||
|
||||
return form_data
|
||||
|
||||
|
||||
# inplace function: form_data is modified
|
||||
def apply_model_params_to_body_openai(params: dict, form_data: dict) -> dict:
|
||||
mappings = {
|
||||
"temperature": float,
|
||||
"top_p": int,
|
||||
@@ -147,10 +158,40 @@ def apply_model_params_to_body(params: dict, form_data: dict) -> dict:
|
||||
"seed": lambda x: x,
|
||||
"stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x],
|
||||
}
|
||||
return apply_model_params_to_body(params, form_data, mappings)
|
||||
|
||||
for key, cast_func in mappings.items():
|
||||
if (value := params.get(key)) is not None:
|
||||
form_data[key] = cast_func(value)
|
||||
|
||||
def apply_model_params_to_body_ollama(params: dict, form_data: dict) -> dict:
|
||||
opts = [
|
||||
"temperature",
|
||||
"top_p",
|
||||
"seed",
|
||||
"mirostat",
|
||||
"mirostat_eta",
|
||||
"mirostat_tau",
|
||||
"num_ctx",
|
||||
"num_batch",
|
||||
"num_keep",
|
||||
"repeat_last_n",
|
||||
"tfs_z",
|
||||
"top_k",
|
||||
"min_p",
|
||||
"use_mmap",
|
||||
"use_mlock",
|
||||
"num_thread",
|
||||
"num_gpu",
|
||||
]
|
||||
mappings = {i: lambda x: x for i in opts}
|
||||
form_data = apply_model_params_to_body(params, form_data, mappings)
|
||||
|
||||
name_differences = {
|
||||
"max_tokens": "num_predict",
|
||||
"frequency_penalty": "repeat_penalty",
|
||||
}
|
||||
|
||||
for key, value in name_differences.items():
|
||||
if (param := params.get(key, None)) is not None:
|
||||
form_data[value] = param
|
||||
|
||||
return form_data
|
||||
|
||||
|
||||
@@ -0,0 +1,104 @@
|
||||
from pydantic import BaseModel, Field, create_model
|
||||
from typing import Any, Optional, Type
|
||||
|
||||
|
||||
def json_schema_to_model(tool_dict: dict[str, Any]) -> Type[BaseModel]:
|
||||
"""
|
||||
Converts a JSON schema to a Pydantic BaseModel class.
|
||||
|
||||
Args:
|
||||
json_schema: The JSON schema to convert.
|
||||
|
||||
Returns:
|
||||
A Pydantic BaseModel class.
|
||||
"""
|
||||
|
||||
# Extract the model name from the schema title.
|
||||
model_name = tool_dict["name"]
|
||||
schema = tool_dict["parameters"]
|
||||
|
||||
# Extract the field definitions from the schema properties.
|
||||
field_definitions = {
|
||||
name: json_schema_to_pydantic_field(name, prop, schema.get("required", []))
|
||||
for name, prop in schema.get("properties", {}).items()
|
||||
}
|
||||
|
||||
# Create the BaseModel class using create_model().
|
||||
return create_model(model_name, **field_definitions)
|
||||
|
||||
|
||||
def json_schema_to_pydantic_field(
|
||||
name: str, json_schema: dict[str, Any], required: list[str]
|
||||
) -> Any:
|
||||
"""
|
||||
Converts a JSON schema property to a Pydantic field definition.
|
||||
|
||||
Args:
|
||||
name: The field name.
|
||||
json_schema: The JSON schema property.
|
||||
|
||||
Returns:
|
||||
A Pydantic field definition.
|
||||
"""
|
||||
|
||||
# Get the field type.
|
||||
type_ = json_schema_to_pydantic_type(json_schema)
|
||||
|
||||
# Get the field description.
|
||||
description = json_schema.get("description")
|
||||
|
||||
# Get the field examples.
|
||||
examples = json_schema.get("examples")
|
||||
|
||||
# Create a Field object with the type, description, and examples.
|
||||
# The 'required' flag will be set later when creating the model.
|
||||
return (
|
||||
type_,
|
||||
Field(
|
||||
description=description,
|
||||
examples=examples,
|
||||
default=... if name in required else None,
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
def json_schema_to_pydantic_type(json_schema: dict[str, Any]) -> Any:
|
||||
"""
|
||||
Converts a JSON schema type to a Pydantic type.
|
||||
|
||||
Args:
|
||||
json_schema: The JSON schema to convert.
|
||||
|
||||
Returns:
|
||||
A Pydantic type.
|
||||
"""
|
||||
|
||||
type_ = json_schema.get("type")
|
||||
|
||||
if type_ == "string" or type_ == "str":
|
||||
return str
|
||||
elif type_ == "integer" or type_ == "int":
|
||||
return int
|
||||
elif type_ == "number" or type_ == "float":
|
||||
return float
|
||||
elif type_ == "boolean" or type_ == "bool":
|
||||
return bool
|
||||
elif type_ == "array":
|
||||
items_schema = json_schema.get("items")
|
||||
if items_schema:
|
||||
item_type = json_schema_to_pydantic_type(items_schema)
|
||||
return list[item_type]
|
||||
else:
|
||||
return list
|
||||
elif type_ == "object":
|
||||
# Handle nested models.
|
||||
properties = json_schema.get("properties")
|
||||
if properties:
|
||||
nested_model = json_schema_to_model(json_schema)
|
||||
return nested_model
|
||||
else:
|
||||
return dict
|
||||
elif type_ == "null":
|
||||
return Optional[Any] # Use Optional[Any] for nullable fields
|
||||
else:
|
||||
raise ValueError(f"Unsupported JSON schema type: {type_}")
|
||||
@@ -121,6 +121,43 @@ def search_query_generation_template(
|
||||
return template
|
||||
|
||||
|
||||
def moa_response_generation_template(
|
||||
template: str, prompt: str, responses: list[str]
|
||||
) -> str:
|
||||
def replacement_function(match):
|
||||
full_match = match.group(0)
|
||||
start_length = match.group(1)
|
||||
end_length = match.group(2)
|
||||
middle_length = match.group(3)
|
||||
|
||||
if full_match == "{{prompt}}":
|
||||
return prompt
|
||||
elif start_length is not None:
|
||||
return prompt[: int(start_length)]
|
||||
elif end_length is not None:
|
||||
return prompt[-int(end_length) :]
|
||||
elif middle_length is not None:
|
||||
middle_length = int(middle_length)
|
||||
if len(prompt) <= middle_length:
|
||||
return prompt
|
||||
start = prompt[: math.ceil(middle_length / 2)]
|
||||
end = prompt[-math.floor(middle_length / 2) :]
|
||||
return f"{start}...{end}"
|
||||
return ""
|
||||
|
||||
template = re.sub(
|
||||
r"{{prompt}}|{{prompt:start:(\d+)}}|{{prompt:end:(\d+)}}|{{prompt:middletruncate:(\d+)}}",
|
||||
replacement_function,
|
||||
template,
|
||||
)
|
||||
|
||||
responses = [f'"""{response}"""' for response in responses]
|
||||
responses = "\n\n".join(responses)
|
||||
|
||||
template = template.replace("{{responses}}", responses)
|
||||
return template
|
||||
|
||||
|
||||
def tools_function_calling_generation_template(template: str, tools_specs: str) -> str:
|
||||
template = template.replace("{{TOOLS}}", tools_specs)
|
||||
return template
|
||||
|
||||
+87
-2
@@ -1,5 +1,90 @@
|
||||
import inspect
|
||||
from typing import get_type_hints, List, Dict, Any
|
||||
import logging
|
||||
from typing import Awaitable, Callable, get_type_hints
|
||||
|
||||
from apps.webui.models.tools import Tools
|
||||
from apps.webui.models.users import UserModel
|
||||
from apps.webui.utils import load_toolkit_module_by_id
|
||||
|
||||
from utils.schemas import json_schema_to_model
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def apply_extra_params_to_tool_function(
|
||||
function: Callable, extra_params: dict
|
||||
) -> Callable[..., Awaitable]:
|
||||
sig = inspect.signature(function)
|
||||
extra_params = {
|
||||
key: value for key, value in extra_params.items() if key in sig.parameters
|
||||
}
|
||||
is_coroutine = inspect.iscoroutinefunction(function)
|
||||
|
||||
async def new_function(**kwargs):
|
||||
extra_kwargs = kwargs | extra_params
|
||||
if is_coroutine:
|
||||
return await function(**extra_kwargs)
|
||||
return function(**extra_kwargs)
|
||||
|
||||
return new_function
|
||||
|
||||
|
||||
# Mutation on extra_params
|
||||
def get_tools(
|
||||
webui_app, tool_ids: list[str], user: UserModel, extra_params: dict
|
||||
) -> dict[str, dict]:
|
||||
tools = {}
|
||||
for tool_id in tool_ids:
|
||||
toolkit = Tools.get_tool_by_id(tool_id)
|
||||
if toolkit is None:
|
||||
continue
|
||||
|
||||
module = webui_app.state.TOOLS.get(tool_id, None)
|
||||
if module is None:
|
||||
module, _ = load_toolkit_module_by_id(tool_id)
|
||||
webui_app.state.TOOLS[tool_id] = module
|
||||
|
||||
extra_params["__id__"] = tool_id
|
||||
if hasattr(module, "valves") and hasattr(module, "Valves"):
|
||||
valves = Tools.get_tool_valves_by_id(tool_id) or {}
|
||||
module.valves = module.Valves(**valves)
|
||||
|
||||
if hasattr(module, "UserValves"):
|
||||
extra_params["__user__"]["valves"] = module.UserValves( # type: ignore
|
||||
**Tools.get_user_valves_by_id_and_user_id(tool_id, user.id)
|
||||
)
|
||||
|
||||
for spec in toolkit.specs:
|
||||
# TODO: Fix hack for OpenAI API
|
||||
for val in spec.get("parameters", {}).get("properties", {}).values():
|
||||
if val["type"] == "str":
|
||||
val["type"] = "string"
|
||||
function_name = spec["name"]
|
||||
|
||||
# convert to function that takes only model params and inserts custom params
|
||||
original_func = getattr(module, function_name)
|
||||
callable = apply_extra_params_to_tool_function(original_func, extra_params)
|
||||
if hasattr(original_func, "__doc__"):
|
||||
callable.__doc__ = original_func.__doc__
|
||||
|
||||
# TODO: This needs to be a pydantic model
|
||||
tool_dict = {
|
||||
"toolkit_id": tool_id,
|
||||
"callable": callable,
|
||||
"spec": spec,
|
||||
"pydantic_model": json_schema_to_model(spec),
|
||||
"file_handler": hasattr(module, "file_handler") and module.file_handler,
|
||||
"citation": hasattr(module, "citation") and module.citation,
|
||||
}
|
||||
|
||||
# TODO: if collision, prepend toolkit name
|
||||
if function_name in tools:
|
||||
log.warning(f"Tool {function_name} already exists in another toolkit!")
|
||||
log.warning(f"Collision between {toolkit} and {tool_id}.")
|
||||
log.warning(f"Discarding {toolkit}.{function_name}")
|
||||
else:
|
||||
tools[function_name] = tool_dict
|
||||
return tools
|
||||
|
||||
|
||||
def doc_to_dict(docstring):
|
||||
@@ -16,7 +101,7 @@ def doc_to_dict(docstring):
|
||||
return ret_dict
|
||||
|
||||
|
||||
def get_tools_specs(tools) -> List[dict]:
|
||||
def get_tools_specs(tools) -> list[dict]:
|
||||
function_list = [
|
||||
{"name": func, "function": getattr(tools, func)}
|
||||
for func in dir(tools)
|
||||
|
||||
@@ -6,16 +6,16 @@ from apps.webui.models.users import Users
|
||||
from typing import Union, Optional
|
||||
from constants import ERROR_MESSAGES
|
||||
from passlib.context import CryptContext
|
||||
from datetime import datetime, timedelta
|
||||
from datetime import datetime, timedelta, UTC
|
||||
import jwt
|
||||
import uuid
|
||||
import logging
|
||||
import config
|
||||
from env import WEBUI_SECRET_KEY
|
||||
|
||||
logging.getLogger("passlib").setLevel(logging.ERROR)
|
||||
|
||||
|
||||
SESSION_SECRET = config.WEBUI_SECRET_KEY
|
||||
SESSION_SECRET = WEBUI_SECRET_KEY
|
||||
ALGORITHM = "HS256"
|
||||
|
||||
##############
|
||||
@@ -40,7 +40,7 @@ def create_token(data: dict, expires_delta: Union[timedelta, None] = None) -> st
|
||||
payload = data.copy()
|
||||
|
||||
if expires_delta:
|
||||
expire = datetime.utcnow() + expires_delta
|
||||
expire = datetime.now(UTC) + expires_delta
|
||||
payload.update({"exp": expire})
|
||||
|
||||
encoded_jwt = jwt.encode(payload, SESSION_SECRET, algorithm=ALGORITHM)
|
||||
|
||||
+18
-13
@@ -38,9 +38,10 @@ describe('Settings', () => {
|
||||
// User's message should be visible
|
||||
cy.get('.chat-user').should('exist');
|
||||
// Wait for the response
|
||||
cy.get('.chat-assistant', { timeout: 120_000 }) // .chat-assistant is created after the first token is received
|
||||
.find('div[aria-label="Generation Info"]', { timeout: 120_000 }) // Generation Info is created after the stop token is received
|
||||
.should('exist');
|
||||
// .chat-assistant is created after the first token is received
|
||||
cy.get('.chat-assistant', { timeout: 10_000 }).should('exist');
|
||||
// Generation Info is created after the stop token is received
|
||||
cy.get('div[aria-label="Generation Info"]', { timeout: 120_000 }).should('exist');
|
||||
});
|
||||
|
||||
it('user can share chat', () => {
|
||||
@@ -57,21 +58,24 @@ describe('Settings', () => {
|
||||
// User's message should be visible
|
||||
cy.get('.chat-user').should('exist');
|
||||
// Wait for the response
|
||||
cy.get('.chat-assistant', { timeout: 120_000 }) // .chat-assistant is created after the first token is received
|
||||
.find('div[aria-label="Generation Info"]', { timeout: 120_000 }) // Generation Info is created after the stop token is received
|
||||
.should('exist');
|
||||
// .chat-assistant is created after the first token is received
|
||||
cy.get('.chat-assistant', { timeout: 10_000 }).should('exist');
|
||||
// Generation Info is created after the stop token is received
|
||||
cy.get('div[aria-label="Generation Info"]', { timeout: 120_000 }).should('exist');
|
||||
// spy on requests
|
||||
const spy = cy.spy();
|
||||
cy.intercept('GET', '/api/v1/chats/*', spy);
|
||||
cy.intercept('POST', '/api/v1/chats/**/share', spy);
|
||||
// Open context menu
|
||||
cy.get('#chat-context-menu-button').click();
|
||||
// Click share button
|
||||
cy.get('#chat-share-button').click();
|
||||
// Check if the share dialog is visible
|
||||
cy.get('#copy-and-share-chat-button').should('exist');
|
||||
cy.wrap({}, { timeout: 5000 }).should(() => {
|
||||
// Check if the request was made twice (once for to replace chat object and once more due to change event)
|
||||
expect(spy).to.be.callCount(2);
|
||||
// Click the copy button
|
||||
cy.get('#copy-and-share-chat-button').click();
|
||||
cy.wrap({}, { timeout: 5_000 }).should(() => {
|
||||
// Check if the share request was made
|
||||
expect(spy).to.be.callCount(1);
|
||||
});
|
||||
});
|
||||
|
||||
@@ -89,9 +93,10 @@ describe('Settings', () => {
|
||||
// User's message should be visible
|
||||
cy.get('.chat-user').should('exist');
|
||||
// Wait for the response
|
||||
cy.get('.chat-assistant', { timeout: 120_000 }) // .chat-assistant is created after the first token is received
|
||||
.find('div[aria-label="Generation Info"]', { timeout: 120_000 }) // Generation Info is created after the stop token is received
|
||||
.should('exist');
|
||||
// .chat-assistant is created after the first token is received
|
||||
cy.get('.chat-assistant', { timeout: 10_000 }).should('exist');
|
||||
// Generation Info is created after the stop token is received
|
||||
cy.get('div[aria-label="Generation Info"]', { timeout: 120_000 }).should('exist');
|
||||
// Click on the generate image button
|
||||
cy.get('[aria-label="Generate Image"]').click();
|
||||
// Wait for image to be visible
|
||||
|
||||
@@ -22,7 +22,6 @@ Noticed something off? Have an idea? Check our [Issues tab](https://github.com/o
|
||||
> [!IMPORTANT]
|
||||
>
|
||||
> - **Template Compliance:** Please be aware that failure to follow the provided issue template, or not providing the requested information at all, will likely result in your issue being closed without further consideration. This approach is critical for maintaining the manageability and integrity of issue tracking.
|
||||
>
|
||||
> - **Detail is Key:** To ensure your issue is understood and can be effectively addressed, it's imperative to include comprehensive details. Descriptions should be clear, including steps to reproduce, expected outcomes, and actual results. Lack of sufficient detail may hinder our ability to resolve your issue.
|
||||
|
||||
### 🧭 Scope of Support
|
||||
|
||||
+10
-2
@@ -9,10 +9,18 @@ Our primary goal is to ensure the protection and confidentiality of sensitive da
|
||||
| main | :white_check_mark: |
|
||||
| others | :x: |
|
||||
|
||||
## Zero Tolerance for External Platforms
|
||||
|
||||
Based on a precedent of an unacceptable degree of spamming and unsolicited communications from third-party platforms, we forcefully reaffirm our stance. **We refuse to engage with, join, or monitor any platforms outside of GitHub for vulnerability reporting.** Our reasons are not just procedural but are deep-seated in the ethos of our project, which champions transparency and direct community interaction inherent in the open-source culture. Any attempts to divert our processes to external platforms will be met with outright rejection. This policy is non-negotiable and understands no exceptions.
|
||||
|
||||
Any reports or solicitations arriving from sources other than our designated GitHub repository will be dismissed without consideration. We’ve seen how external engagements can dilute and compromise the integrity of community-driven projects, and we’re not here to gamble with the security and privacy of our user community.
|
||||
|
||||
## Reporting a Vulnerability
|
||||
|
||||
We appreciate the community's interest in identifying potential vulnerabilities. However, effective immediately, we will **not** accept low-effort vulnerability reports. To ensure that submissions are constructive and actionable, please adhere to the following guidelines:
|
||||
|
||||
Reports not submitted through our designated GitHub repository will be disregarded, and we will categorically reject invitations to collaborate on external platforms. Our aggressive stance on this matter underscores our commitment to a secure, transparent, and open community where all operations are visible and contributors are accountable.
|
||||
|
||||
1. **No Vague Reports**: Submissions such as "I found a vulnerability" without any details will be treated as spam and will not be accepted.
|
||||
|
||||
2. **In-Depth Understanding Required**: Reports must reflect a clear understanding of the codebase and provide specific details about the vulnerability, including the affected components and potential impacts.
|
||||
@@ -23,7 +31,7 @@ We appreciate the community's interest in identifying potential vulnerabilities.
|
||||
|
||||
5. **Streamlined Merging Process**: When vulnerability reports meet the above criteria, we can consider them for immediate merging, similar to regular pull requests. Well-structured and thorough submissions will expedite the process of enhancing our security.
|
||||
|
||||
Submissions that do not meet these criteria will be closed, and repeat offenders may face a ban from future submissions. We aim to create a respectful and constructive reporting environment, where high-quality submissions foster better security for everyone.
|
||||
**Non-compliant submissions will be closed, and repeat violators may be banned.** Our goal is to foster a constructive reporting environment where quality submissions promote better security for all users.
|
||||
|
||||
## Product Security
|
||||
|
||||
@@ -33,4 +41,4 @@ For immediate concerns or detailed reports that meet our guidelines, please crea
|
||||
|
||||
---
|
||||
|
||||
_Last updated on **2024-08-06**._
|
||||
_Last updated on **2024-08-19**._
|
||||
|
||||
Generated
+375
-604
File diff suppressed because it is too large
Load Diff
+22
-16
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "open-webui",
|
||||
"version": "0.3.12",
|
||||
"version": "0.3.16",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"dev": "npm run pyodide:fetch && vite dev --host",
|
||||
@@ -20,30 +20,31 @@
|
||||
"pyodide:fetch": "node scripts/prepare-pyodide.js"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@sveltejs/adapter-auto": "^2.0.0",
|
||||
"@sveltejs/adapter-static": "^2.0.3",
|
||||
"@sveltejs/kit": "^1.30.0",
|
||||
"@tailwindcss/typography": "^0.5.10",
|
||||
"@sveltejs/adapter-auto": "3.2.2",
|
||||
"@sveltejs/adapter-static": "^3.0.2",
|
||||
"@sveltejs/kit": "^2.5.20",
|
||||
"@sveltejs/vite-plugin-svelte": "^3.1.1",
|
||||
"@tailwindcss/typography": "^0.5.13",
|
||||
"@types/bun": "latest",
|
||||
"@typescript-eslint/eslint-plugin": "^6.17.0",
|
||||
"@typescript-eslint/parser": "^6.17.0",
|
||||
"autoprefixer": "^10.4.16",
|
||||
"cypress": "^13.8.1",
|
||||
"eslint": "^8.56.0",
|
||||
"eslint-config-prettier": "^8.5.0",
|
||||
"eslint-plugin-cypress": "^3.0.2",
|
||||
"eslint-plugin-svelte": "^2.30.0",
|
||||
"i18next-parser": "^8.13.0",
|
||||
"eslint-config-prettier": "^9.1.0",
|
||||
"eslint-plugin-cypress": "^3.4.0",
|
||||
"eslint-plugin-svelte": "^2.43.0",
|
||||
"i18next-parser": "^9.0.1",
|
||||
"postcss": "^8.4.31",
|
||||
"prettier": "^2.8.0",
|
||||
"prettier-plugin-svelte": "^2.10.1",
|
||||
"svelte": "^4.0.5",
|
||||
"svelte-check": "^3.4.3",
|
||||
"prettier": "^3.3.3",
|
||||
"prettier-plugin-svelte": "^3.2.6",
|
||||
"svelte": "^4.2.18",
|
||||
"svelte-check": "^3.8.5",
|
||||
"svelte-confetti": "^1.3.2",
|
||||
"tailwindcss": "^3.3.3",
|
||||
"tslib": "^2.4.1",
|
||||
"typescript": "^5.0.0",
|
||||
"vite": "^4.4.2",
|
||||
"typescript": "^5.5.4",
|
||||
"vite": "^5.3.5",
|
||||
"vitest": "^1.6.0"
|
||||
},
|
||||
"type": "module",
|
||||
@@ -52,12 +53,13 @@
|
||||
"@codemirror/lang-python": "^6.1.6",
|
||||
"@codemirror/theme-one-dark": "^6.1.2",
|
||||
"@pyscript/core": "^0.4.32",
|
||||
"@sveltejs/adapter-node": "^1.3.1",
|
||||
"@sveltejs/adapter-node": "^2.0.0",
|
||||
"async": "^3.2.5",
|
||||
"bits-ui": "^0.19.7",
|
||||
"codemirror": "^6.0.1",
|
||||
"crc-32": "^1.2.2",
|
||||
"dayjs": "^1.11.10",
|
||||
"dompurify": "^3.1.6",
|
||||
"eventsource-parser": "^1.1.2",
|
||||
"file-saver": "^2.0.5",
|
||||
"fuse.js": "^7.0.0",
|
||||
@@ -77,5 +79,9 @@
|
||||
"tippy.js": "^6.3.7",
|
||||
"turndown": "^7.2.0",
|
||||
"uuid": "^9.0.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18.13.0 <=21.x.x",
|
||||
"npm": ">=6.0.0"
|
||||
}
|
||||
}
|
||||
|
||||
+15
-14
@@ -1,13 +1,13 @@
|
||||
[project]
|
||||
name = "open-webui"
|
||||
description = "Open WebUI (Formerly Ollama WebUI)"
|
||||
description = "Open WebUI"
|
||||
authors = [
|
||||
{ name = "Timothy Jaeryang Baek", email = "tim@openwebui.com" }
|
||||
]
|
||||
license = { file = "LICENSE" }
|
||||
dependencies = [
|
||||
"fastapi==0.111.0",
|
||||
"uvicorn[standard]==0.22.0",
|
||||
"uvicorn[standard]==0.30.6",
|
||||
"pydantic==2.8.2",
|
||||
"python-multipart==0.0.9",
|
||||
|
||||
@@ -19,19 +19,19 @@ dependencies = [
|
||||
"passlib[bcrypt]==1.7.4",
|
||||
|
||||
"requests==2.32.3",
|
||||
"aiohttp==3.9.5",
|
||||
"aiohttp==3.10.2",
|
||||
|
||||
"sqlalchemy==2.0.31",
|
||||
"sqlalchemy==2.0.32",
|
||||
"alembic==1.13.2",
|
||||
"peewee==3.17.6",
|
||||
"peewee-migrate==1.12.2",
|
||||
"psycopg2-binary==2.9.9",
|
||||
"PyMySQL==1.1.1",
|
||||
"bcrypt==4.1.3",
|
||||
"bcrypt==4.2.0",
|
||||
|
||||
"pymongo",
|
||||
"redis",
|
||||
"boto3==1.34.153",
|
||||
"boto3==1.35.0",
|
||||
|
||||
"argon2-cffi==23.1.0",
|
||||
"APScheduler==3.10.4",
|
||||
@@ -41,18 +41,19 @@ dependencies = [
|
||||
"google-generativeai==0.7.2",
|
||||
"tiktoken",
|
||||
|
||||
"langchain==0.2.11",
|
||||
"langchain-community==0.2.10",
|
||||
"langchain==0.2.14",
|
||||
"langchain-community==0.2.12",
|
||||
"langchain-chroma==0.1.2",
|
||||
|
||||
"fake-useragent==1.5.1",
|
||||
"chromadb==0.5.4",
|
||||
"chromadb==0.5.5",
|
||||
"sentence-transformers==3.0.1",
|
||||
"pypdf==4.3.1",
|
||||
"docx2txt==0.8",
|
||||
"python-pptx==1.0.0",
|
||||
"unstructured==0.15.0",
|
||||
"Markdown==3.6",
|
||||
"unstructured==0.15.7",
|
||||
"nltk==3.9.1",
|
||||
"Markdown==3.7",
|
||||
"pypandoc==1.13",
|
||||
"pandas==2.2.2",
|
||||
"openpyxl==3.1.5",
|
||||
@@ -67,13 +68,13 @@ dependencies = [
|
||||
"fpdf2==2.7.9",
|
||||
"rank-bm25==0.2.2",
|
||||
|
||||
"faster-whisper==1.0.2",
|
||||
"faster-whisper==1.0.3",
|
||||
|
||||
"PyJWT[crypto]==2.8.0",
|
||||
"PyJWT[crypto]==2.9.0",
|
||||
"authlib==1.3.1",
|
||||
|
||||
"black==24.8.0",
|
||||
"langfuse==2.39.2",
|
||||
"langfuse==2.44.0",
|
||||
"youtube-transcript-api==0.6.2",
|
||||
"pytube==15.0.0",
|
||||
|
||||
|
||||
@@ -1,748 +0,0 @@
|
||||
# generated by rye
|
||||
# use `rye lock` or `rye sync` to update this lockfile
|
||||
#
|
||||
# last locked with the following flags:
|
||||
# pre: false
|
||||
# features: []
|
||||
# all-features: false
|
||||
# with-sources: false
|
||||
# generate-hashes: false
|
||||
# universal: false
|
||||
|
||||
-e file:.
|
||||
aiohttp==3.9.5
|
||||
# via langchain
|
||||
# via langchain-community
|
||||
# via open-webui
|
||||
aiosignal==1.3.1
|
||||
# via aiohttp
|
||||
alembic==1.13.2
|
||||
# via open-webui
|
||||
annotated-types==0.6.0
|
||||
# via pydantic
|
||||
anthropic==0.32.0
|
||||
# via open-webui
|
||||
anyio==4.4.0
|
||||
# via anthropic
|
||||
# via httpx
|
||||
# via langfuse
|
||||
# via openai
|
||||
# via starlette
|
||||
# via watchfiles
|
||||
apscheduler==3.10.4
|
||||
# via open-webui
|
||||
argon2-cffi==23.1.0
|
||||
# via open-webui
|
||||
argon2-cffi-bindings==21.2.0
|
||||
# via argon2-cffi
|
||||
asgiref==3.8.1
|
||||
# via opentelemetry-instrumentation-asgi
|
||||
attrs==23.2.0
|
||||
# via aiohttp
|
||||
# via pytest-docker
|
||||
authlib==1.3.1
|
||||
# via open-webui
|
||||
av==11.0.0
|
||||
# via faster-whisper
|
||||
backoff==2.2.1
|
||||
# via langfuse
|
||||
# via posthog
|
||||
# via unstructured
|
||||
bcrypt==4.1.3
|
||||
# via chromadb
|
||||
# via open-webui
|
||||
# via passlib
|
||||
beautifulsoup4==4.12.3
|
||||
# via extract-msg
|
||||
# via unstructured
|
||||
bidict==0.23.1
|
||||
# via python-socketio
|
||||
black==24.8.0
|
||||
# via open-webui
|
||||
blinker==1.8.2
|
||||
# via flask
|
||||
boto3==1.34.153
|
||||
# via open-webui
|
||||
botocore==1.34.155
|
||||
# via boto3
|
||||
# via s3transfer
|
||||
build==1.2.1
|
||||
# via chromadb
|
||||
cachetools==5.3.3
|
||||
# via google-auth
|
||||
certifi==2024.2.2
|
||||
# via httpcore
|
||||
# via httpx
|
||||
# via kubernetes
|
||||
# via requests
|
||||
# via unstructured-client
|
||||
cffi==1.16.0
|
||||
# via argon2-cffi-bindings
|
||||
# via cryptography
|
||||
chardet==5.2.0
|
||||
# via unstructured
|
||||
charset-normalizer==3.3.2
|
||||
# via requests
|
||||
# via unstructured-client
|
||||
chroma-hnswlib==0.7.5
|
||||
# via chromadb
|
||||
chromadb==0.5.4
|
||||
# via langchain-chroma
|
||||
# via open-webui
|
||||
click==8.1.7
|
||||
# via black
|
||||
# via duckduckgo-search
|
||||
# via flask
|
||||
# via nltk
|
||||
# via peewee-migrate
|
||||
# via typer
|
||||
# via uvicorn
|
||||
colorclass==2.2.2
|
||||
# via oletools
|
||||
coloredlogs==15.0.1
|
||||
# via onnxruntime
|
||||
compressed-rtf==1.0.6
|
||||
# via extract-msg
|
||||
cryptography==42.0.7
|
||||
# via authlib
|
||||
# via msoffcrypto-tool
|
||||
# via pyjwt
|
||||
ctranslate2==4.2.1
|
||||
# via faster-whisper
|
||||
dataclasses-json==0.6.6
|
||||
# via langchain-community
|
||||
# via unstructured
|
||||
# via unstructured-client
|
||||
deepdiff==7.0.1
|
||||
# via unstructured-client
|
||||
defusedxml==0.7.1
|
||||
# via fpdf2
|
||||
deprecated==1.2.14
|
||||
# via opentelemetry-api
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
distro==1.9.0
|
||||
# via anthropic
|
||||
# via openai
|
||||
dnspython==2.6.1
|
||||
# via email-validator
|
||||
# via pymongo
|
||||
docker==7.1.0
|
||||
# via open-webui
|
||||
docx2txt==0.8
|
||||
# via open-webui
|
||||
duckduckgo-search==6.2.6
|
||||
# via open-webui
|
||||
easygui==0.98.3
|
||||
# via oletools
|
||||
ebcdic==1.1.1
|
||||
# via extract-msg
|
||||
ecdsa==0.19.0
|
||||
# via python-jose
|
||||
email-validator==2.1.1
|
||||
# via fastapi
|
||||
emoji==2.11.1
|
||||
# via unstructured
|
||||
et-xmlfile==1.1.0
|
||||
# via openpyxl
|
||||
extract-msg==0.48.5
|
||||
# via open-webui
|
||||
fake-useragent==1.5.1
|
||||
# via open-webui
|
||||
fastapi==0.111.0
|
||||
# via chromadb
|
||||
# via langchain-chroma
|
||||
# via open-webui
|
||||
fastapi-cli==0.0.4
|
||||
# via fastapi
|
||||
faster-whisper==1.0.2
|
||||
# via open-webui
|
||||
filelock==3.14.0
|
||||
# via huggingface-hub
|
||||
# via torch
|
||||
# via transformers
|
||||
filetype==1.2.0
|
||||
# via unstructured
|
||||
flask==3.0.3
|
||||
# via flask-cors
|
||||
# via open-webui
|
||||
flask-cors==4.0.1
|
||||
# via open-webui
|
||||
flatbuffers==24.3.25
|
||||
# via onnxruntime
|
||||
fonttools==4.51.0
|
||||
# via fpdf2
|
||||
fpdf2==2.7.9
|
||||
# via open-webui
|
||||
frozenlist==1.4.1
|
||||
# via aiohttp
|
||||
# via aiosignal
|
||||
fsspec==2024.3.1
|
||||
# via huggingface-hub
|
||||
# via torch
|
||||
google-ai-generativelanguage==0.6.6
|
||||
# via google-generativeai
|
||||
google-api-core==2.19.0
|
||||
# via google-ai-generativelanguage
|
||||
# via google-api-python-client
|
||||
# via google-generativeai
|
||||
google-api-python-client==2.129.0
|
||||
# via google-generativeai
|
||||
google-auth==2.29.0
|
||||
# via google-ai-generativelanguage
|
||||
# via google-api-core
|
||||
# via google-api-python-client
|
||||
# via google-auth-httplib2
|
||||
# via google-generativeai
|
||||
# via kubernetes
|
||||
google-auth-httplib2==0.2.0
|
||||
# via google-api-python-client
|
||||
google-generativeai==0.7.2
|
||||
# via open-webui
|
||||
googleapis-common-protos==1.63.0
|
||||
# via google-api-core
|
||||
# via grpcio-status
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
grpcio==1.63.0
|
||||
# via chromadb
|
||||
# via google-api-core
|
||||
# via grpcio-status
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
grpcio-status==1.62.2
|
||||
# via google-api-core
|
||||
h11==0.14.0
|
||||
# via httpcore
|
||||
# via uvicorn
|
||||
# via wsproto
|
||||
httpcore==1.0.5
|
||||
# via httpx
|
||||
httplib2==0.22.0
|
||||
# via google-api-python-client
|
||||
# via google-auth-httplib2
|
||||
httptools==0.6.1
|
||||
# via uvicorn
|
||||
httpx==0.27.0
|
||||
# via anthropic
|
||||
# via chromadb
|
||||
# via fastapi
|
||||
# via langfuse
|
||||
# via openai
|
||||
huggingface-hub==0.23.0
|
||||
# via faster-whisper
|
||||
# via sentence-transformers
|
||||
# via tokenizers
|
||||
# via transformers
|
||||
humanfriendly==10.0
|
||||
# via coloredlogs
|
||||
idna==3.7
|
||||
# via anyio
|
||||
# via email-validator
|
||||
# via httpx
|
||||
# via langfuse
|
||||
# via requests
|
||||
# via unstructured-client
|
||||
# via yarl
|
||||
importlib-metadata==7.0.0
|
||||
# via opentelemetry-api
|
||||
importlib-resources==6.4.0
|
||||
# via chromadb
|
||||
iniconfig==2.0.0
|
||||
# via pytest
|
||||
itsdangerous==2.2.0
|
||||
# via flask
|
||||
jinja2==3.1.4
|
||||
# via fastapi
|
||||
# via flask
|
||||
# via torch
|
||||
jiter==0.5.0
|
||||
# via anthropic
|
||||
jmespath==1.0.1
|
||||
# via boto3
|
||||
# via botocore
|
||||
joblib==1.4.2
|
||||
# via nltk
|
||||
# via scikit-learn
|
||||
jsonpatch==1.33
|
||||
# via langchain-core
|
||||
jsonpath-python==1.0.6
|
||||
# via unstructured-client
|
||||
jsonpointer==2.4
|
||||
# via jsonpatch
|
||||
kubernetes==29.0.0
|
||||
# via chromadb
|
||||
langchain==0.2.11
|
||||
# via langchain-community
|
||||
# via open-webui
|
||||
langchain-chroma==0.1.2
|
||||
# via open-webui
|
||||
langchain-community==0.2.10
|
||||
# via open-webui
|
||||
langchain-core==0.2.28
|
||||
# via langchain
|
||||
# via langchain-chroma
|
||||
# via langchain-community
|
||||
# via langchain-text-splitters
|
||||
langchain-text-splitters==0.2.0
|
||||
# via langchain
|
||||
langdetect==1.0.9
|
||||
# via unstructured
|
||||
langfuse==2.39.2
|
||||
# via open-webui
|
||||
langsmith==0.1.96
|
||||
# via langchain
|
||||
# via langchain-community
|
||||
# via langchain-core
|
||||
lark==1.1.8
|
||||
# via rtfde
|
||||
lxml==5.2.2
|
||||
# via python-pptx
|
||||
# via unstructured
|
||||
mako==1.3.5
|
||||
# via alembic
|
||||
markdown==3.6
|
||||
# via open-webui
|
||||
markdown-it-py==3.0.0
|
||||
# via rich
|
||||
markupsafe==2.1.5
|
||||
# via jinja2
|
||||
# via mako
|
||||
# via werkzeug
|
||||
marshmallow==3.21.2
|
||||
# via dataclasses-json
|
||||
# via unstructured-client
|
||||
mdurl==0.1.2
|
||||
# via markdown-it-py
|
||||
mmh3==4.1.0
|
||||
# via chromadb
|
||||
monotonic==1.6
|
||||
# via posthog
|
||||
mpmath==1.3.0
|
||||
# via sympy
|
||||
msoffcrypto-tool==5.4.1
|
||||
# via oletools
|
||||
multidict==6.0.5
|
||||
# via aiohttp
|
||||
# via yarl
|
||||
mypy-extensions==1.0.0
|
||||
# via black
|
||||
# via typing-inspect
|
||||
# via unstructured-client
|
||||
networkx==3.3
|
||||
# via torch
|
||||
nltk==3.8.1
|
||||
# via unstructured
|
||||
numpy==1.26.4
|
||||
# via chroma-hnswlib
|
||||
# via chromadb
|
||||
# via ctranslate2
|
||||
# via langchain
|
||||
# via langchain-chroma
|
||||
# via langchain-community
|
||||
# via onnxruntime
|
||||
# via opencv-python
|
||||
# via opencv-python-headless
|
||||
# via pandas
|
||||
# via rank-bm25
|
||||
# via rapidocr-onnxruntime
|
||||
# via scikit-learn
|
||||
# via scipy
|
||||
# via sentence-transformers
|
||||
# via shapely
|
||||
# via transformers
|
||||
# via unstructured
|
||||
oauthlib==3.2.2
|
||||
# via kubernetes
|
||||
# via requests-oauthlib
|
||||
olefile==0.47
|
||||
# via extract-msg
|
||||
# via msoffcrypto-tool
|
||||
# via oletools
|
||||
oletools==0.60.1
|
||||
# via pcodedmp
|
||||
# via rtfde
|
||||
onnxruntime==1.17.3
|
||||
# via chromadb
|
||||
# via faster-whisper
|
||||
# via rapidocr-onnxruntime
|
||||
openai==1.38.0
|
||||
# via open-webui
|
||||
opencv-python==4.9.0.80
|
||||
# via rapidocr-onnxruntime
|
||||
opencv-python-headless==4.10.0.84
|
||||
# via open-webui
|
||||
openpyxl==3.1.5
|
||||
# via open-webui
|
||||
opentelemetry-api==1.24.0
|
||||
# via chromadb
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
# via opentelemetry-instrumentation
|
||||
# via opentelemetry-instrumentation-asgi
|
||||
# via opentelemetry-instrumentation-fastapi
|
||||
# via opentelemetry-sdk
|
||||
opentelemetry-exporter-otlp-proto-common==1.24.0
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
opentelemetry-exporter-otlp-proto-grpc==1.24.0
|
||||
# via chromadb
|
||||
opentelemetry-instrumentation==0.45b0
|
||||
# via opentelemetry-instrumentation-asgi
|
||||
# via opentelemetry-instrumentation-fastapi
|
||||
opentelemetry-instrumentation-asgi==0.45b0
|
||||
# via opentelemetry-instrumentation-fastapi
|
||||
opentelemetry-instrumentation-fastapi==0.45b0
|
||||
# via chromadb
|
||||
opentelemetry-proto==1.24.0
|
||||
# via opentelemetry-exporter-otlp-proto-common
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
opentelemetry-sdk==1.24.0
|
||||
# via chromadb
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
opentelemetry-semantic-conventions==0.45b0
|
||||
# via opentelemetry-instrumentation-asgi
|
||||
# via opentelemetry-instrumentation-fastapi
|
||||
# via opentelemetry-sdk
|
||||
opentelemetry-util-http==0.45b0
|
||||
# via opentelemetry-instrumentation-asgi
|
||||
# via opentelemetry-instrumentation-fastapi
|
||||
ordered-set==4.1.0
|
||||
# via deepdiff
|
||||
orjson==3.10.3
|
||||
# via chromadb
|
||||
# via fastapi
|
||||
# via langsmith
|
||||
overrides==7.7.0
|
||||
# via chromadb
|
||||
packaging==23.2
|
||||
# via black
|
||||
# via build
|
||||
# via huggingface-hub
|
||||
# via langchain-core
|
||||
# via langfuse
|
||||
# via marshmallow
|
||||
# via onnxruntime
|
||||
# via pytest
|
||||
# via transformers
|
||||
# via unstructured-client
|
||||
pandas==2.2.2
|
||||
# via open-webui
|
||||
passlib==1.7.4
|
||||
# via open-webui
|
||||
pathspec==0.12.1
|
||||
# via black
|
||||
pcodedmp==1.2.6
|
||||
# via oletools
|
||||
peewee==3.17.6
|
||||
# via open-webui
|
||||
# via peewee-migrate
|
||||
peewee-migrate==1.12.2
|
||||
# via open-webui
|
||||
pillow==10.3.0
|
||||
# via fpdf2
|
||||
# via python-pptx
|
||||
# via rapidocr-onnxruntime
|
||||
# via sentence-transformers
|
||||
platformdirs==4.2.1
|
||||
# via black
|
||||
pluggy==1.5.0
|
||||
# via pytest
|
||||
posthog==3.5.0
|
||||
# via chromadb
|
||||
primp==0.5.5
|
||||
# via duckduckgo-search
|
||||
proto-plus==1.23.0
|
||||
# via google-ai-generativelanguage
|
||||
# via google-api-core
|
||||
protobuf==4.25.3
|
||||
# via google-ai-generativelanguage
|
||||
# via google-api-core
|
||||
# via google-generativeai
|
||||
# via googleapis-common-protos
|
||||
# via grpcio-status
|
||||
# via onnxruntime
|
||||
# via opentelemetry-proto
|
||||
# via proto-plus
|
||||
psutil==6.0.0
|
||||
# via open-webui
|
||||
# via unstructured
|
||||
psycopg2-binary==2.9.9
|
||||
# via open-webui
|
||||
pyasn1==0.6.0
|
||||
# via pyasn1-modules
|
||||
# via python-jose
|
||||
# via rsa
|
||||
pyasn1-modules==0.4.0
|
||||
# via google-auth
|
||||
pyclipper==1.3.0.post5
|
||||
# via rapidocr-onnxruntime
|
||||
pycparser==2.22
|
||||
# via cffi
|
||||
pydantic==2.8.2
|
||||
# via anthropic
|
||||
# via chromadb
|
||||
# via fastapi
|
||||
# via google-generativeai
|
||||
# via langchain
|
||||
# via langchain-core
|
||||
# via langfuse
|
||||
# via langsmith
|
||||
# via open-webui
|
||||
# via openai
|
||||
pydantic-core==2.20.1
|
||||
# via pydantic
|
||||
pydub==0.25.1
|
||||
# via open-webui
|
||||
pygments==2.18.0
|
||||
# via rich
|
||||
pyjwt==2.8.0
|
||||
# via open-webui
|
||||
pymongo==4.8.0
|
||||
# via open-webui
|
||||
pymysql==1.1.1
|
||||
# via open-webui
|
||||
pypandoc==1.13
|
||||
# via open-webui
|
||||
pyparsing==2.4.7
|
||||
# via httplib2
|
||||
# via oletools
|
||||
pypdf==4.3.1
|
||||
# via open-webui
|
||||
# via unstructured-client
|
||||
pypika==0.48.9
|
||||
# via chromadb
|
||||
pyproject-hooks==1.1.0
|
||||
# via build
|
||||
pytest==8.2.2
|
||||
# via open-webui
|
||||
# via pytest-docker
|
||||
pytest-docker==3.1.1
|
||||
# via open-webui
|
||||
python-dateutil==2.9.0.post0
|
||||
# via botocore
|
||||
# via kubernetes
|
||||
# via pandas
|
||||
# via posthog
|
||||
# via unstructured-client
|
||||
python-dotenv==1.0.1
|
||||
# via uvicorn
|
||||
python-engineio==4.9.0
|
||||
# via python-socketio
|
||||
python-iso639==2024.4.27
|
||||
# via unstructured
|
||||
python-jose==3.3.0
|
||||
# via open-webui
|
||||
python-magic==0.4.27
|
||||
# via unstructured
|
||||
python-multipart==0.0.9
|
||||
# via fastapi
|
||||
# via open-webui
|
||||
python-pptx==1.0.0
|
||||
# via open-webui
|
||||
python-socketio==5.11.3
|
||||
# via open-webui
|
||||
pytube==15.0.0
|
||||
# via open-webui
|
||||
pytz==2024.1
|
||||
# via apscheduler
|
||||
# via pandas
|
||||
pyxlsb==1.0.10
|
||||
# via open-webui
|
||||
pyyaml==6.0.1
|
||||
# via chromadb
|
||||
# via ctranslate2
|
||||
# via huggingface-hub
|
||||
# via kubernetes
|
||||
# via langchain
|
||||
# via langchain-community
|
||||
# via langchain-core
|
||||
# via rapidocr-onnxruntime
|
||||
# via transformers
|
||||
# via uvicorn
|
||||
rank-bm25==0.2.2
|
||||
# via open-webui
|
||||
rapidfuzz==3.9.0
|
||||
# via unstructured
|
||||
rapidocr-onnxruntime==1.3.24
|
||||
# via open-webui
|
||||
red-black-tree-mod==1.20
|
||||
# via extract-msg
|
||||
redis==5.0.8
|
||||
# via open-webui
|
||||
regex==2024.5.10
|
||||
# via nltk
|
||||
# via tiktoken
|
||||
# via transformers
|
||||
requests==2.32.3
|
||||
# via docker
|
||||
# via google-api-core
|
||||
# via huggingface-hub
|
||||
# via kubernetes
|
||||
# via langchain
|
||||
# via langchain-community
|
||||
# via langsmith
|
||||
# via open-webui
|
||||
# via posthog
|
||||
# via requests-oauthlib
|
||||
# via tiktoken
|
||||
# via transformers
|
||||
# via unstructured
|
||||
# via unstructured-client
|
||||
# via youtube-transcript-api
|
||||
requests-oauthlib==2.0.0
|
||||
# via kubernetes
|
||||
rich==13.7.1
|
||||
# via typer
|
||||
rsa==4.9
|
||||
# via google-auth
|
||||
# via python-jose
|
||||
rtfde==0.1.1
|
||||
# via extract-msg
|
||||
s3transfer==0.10.1
|
||||
# via boto3
|
||||
safetensors==0.4.3
|
||||
# via transformers
|
||||
scikit-learn==1.4.2
|
||||
# via sentence-transformers
|
||||
scipy==1.13.0
|
||||
# via scikit-learn
|
||||
# via sentence-transformers
|
||||
sentence-transformers==3.0.1
|
||||
# via open-webui
|
||||
setuptools==69.5.1
|
||||
# via ctranslate2
|
||||
# via opentelemetry-instrumentation
|
||||
shapely==2.0.5
|
||||
# via rapidocr-onnxruntime
|
||||
shellingham==1.5.4
|
||||
# via typer
|
||||
simple-websocket==1.0.0
|
||||
# via python-engineio
|
||||
six==1.16.0
|
||||
# via apscheduler
|
||||
# via ecdsa
|
||||
# via kubernetes
|
||||
# via langdetect
|
||||
# via posthog
|
||||
# via python-dateutil
|
||||
# via rapidocr-onnxruntime
|
||||
# via unstructured-client
|
||||
sniffio==1.3.1
|
||||
# via anthropic
|
||||
# via anyio
|
||||
# via httpx
|
||||
# via openai
|
||||
soupsieve==2.5
|
||||
# via beautifulsoup4
|
||||
sqlalchemy==2.0.31
|
||||
# via alembic
|
||||
# via langchain
|
||||
# via langchain-community
|
||||
# via open-webui
|
||||
starlette==0.37.2
|
||||
# via fastapi
|
||||
sympy==1.12
|
||||
# via onnxruntime
|
||||
# via torch
|
||||
tabulate==0.9.0
|
||||
# via unstructured
|
||||
tenacity==8.3.0
|
||||
# via chromadb
|
||||
# via langchain
|
||||
# via langchain-community
|
||||
# via langchain-core
|
||||
threadpoolctl==3.5.0
|
||||
# via scikit-learn
|
||||
tiktoken==0.7.0
|
||||
# via open-webui
|
||||
tokenizers==0.15.2
|
||||
# via anthropic
|
||||
# via chromadb
|
||||
# via faster-whisper
|
||||
# via transformers
|
||||
torch==2.3.0
|
||||
# via sentence-transformers
|
||||
tqdm==4.66.4
|
||||
# via chromadb
|
||||
# via google-generativeai
|
||||
# via huggingface-hub
|
||||
# via nltk
|
||||
# via openai
|
||||
# via sentence-transformers
|
||||
# via transformers
|
||||
# via unstructured
|
||||
transformers==4.39.3
|
||||
# via sentence-transformers
|
||||
typer==0.12.3
|
||||
# via chromadb
|
||||
# via fastapi-cli
|
||||
typing-extensions==4.11.0
|
||||
# via alembic
|
||||
# via anthropic
|
||||
# via chromadb
|
||||
# via fastapi
|
||||
# via google-generativeai
|
||||
# via huggingface-hub
|
||||
# via langchain-core
|
||||
# via openai
|
||||
# via opentelemetry-sdk
|
||||
# via pydantic
|
||||
# via pydantic-core
|
||||
# via python-pptx
|
||||
# via sqlalchemy
|
||||
# via torch
|
||||
# via typer
|
||||
# via typing-inspect
|
||||
# via unstructured
|
||||
# via unstructured-client
|
||||
typing-inspect==0.9.0
|
||||
# via dataclasses-json
|
||||
# via unstructured-client
|
||||
tzdata==2024.1
|
||||
# via pandas
|
||||
tzlocal==5.2
|
||||
# via apscheduler
|
||||
# via extract-msg
|
||||
ujson==5.10.0
|
||||
# via fastapi
|
||||
unstructured==0.15.0
|
||||
# via open-webui
|
||||
unstructured-client==0.22.0
|
||||
# via unstructured
|
||||
uritemplate==4.1.1
|
||||
# via google-api-python-client
|
||||
urllib3==2.2.1
|
||||
# via botocore
|
||||
# via docker
|
||||
# via kubernetes
|
||||
# via requests
|
||||
# via unstructured-client
|
||||
uvicorn==0.22.0
|
||||
# via chromadb
|
||||
# via fastapi
|
||||
# via open-webui
|
||||
uvloop==0.19.0
|
||||
# via uvicorn
|
||||
validators==0.33.0
|
||||
# via open-webui
|
||||
watchfiles==0.21.0
|
||||
# via uvicorn
|
||||
websocket-client==1.8.0
|
||||
# via kubernetes
|
||||
websockets==12.0
|
||||
# via uvicorn
|
||||
werkzeug==3.0.3
|
||||
# via flask
|
||||
wrapt==1.16.0
|
||||
# via deprecated
|
||||
# via langfuse
|
||||
# via opentelemetry-instrumentation
|
||||
# via unstructured
|
||||
wsproto==1.2.0
|
||||
# via simple-websocket
|
||||
xlrd==2.0.1
|
||||
# via open-webui
|
||||
xlsxwriter==3.2.0
|
||||
# via python-pptx
|
||||
yarl==1.9.4
|
||||
# via aiohttp
|
||||
youtube-transcript-api==0.6.2
|
||||
# via open-webui
|
||||
zipp==3.18.1
|
||||
# via importlib-metadata
|
||||
@@ -1,748 +0,0 @@
|
||||
# generated by rye
|
||||
# use `rye lock` or `rye sync` to update this lockfile
|
||||
#
|
||||
# last locked with the following flags:
|
||||
# pre: false
|
||||
# features: []
|
||||
# all-features: false
|
||||
# with-sources: false
|
||||
# generate-hashes: false
|
||||
# universal: false
|
||||
|
||||
-e file:.
|
||||
aiohttp==3.9.5
|
||||
# via langchain
|
||||
# via langchain-community
|
||||
# via open-webui
|
||||
aiosignal==1.3.1
|
||||
# via aiohttp
|
||||
alembic==1.13.2
|
||||
# via open-webui
|
||||
annotated-types==0.6.0
|
||||
# via pydantic
|
||||
anthropic==0.32.0
|
||||
# via open-webui
|
||||
anyio==4.4.0
|
||||
# via anthropic
|
||||
# via httpx
|
||||
# via langfuse
|
||||
# via openai
|
||||
# via starlette
|
||||
# via watchfiles
|
||||
apscheduler==3.10.4
|
||||
# via open-webui
|
||||
argon2-cffi==23.1.0
|
||||
# via open-webui
|
||||
argon2-cffi-bindings==21.2.0
|
||||
# via argon2-cffi
|
||||
asgiref==3.8.1
|
||||
# via opentelemetry-instrumentation-asgi
|
||||
attrs==23.2.0
|
||||
# via aiohttp
|
||||
# via pytest-docker
|
||||
authlib==1.3.1
|
||||
# via open-webui
|
||||
av==11.0.0
|
||||
# via faster-whisper
|
||||
backoff==2.2.1
|
||||
# via langfuse
|
||||
# via posthog
|
||||
# via unstructured
|
||||
bcrypt==4.1.3
|
||||
# via chromadb
|
||||
# via open-webui
|
||||
# via passlib
|
||||
beautifulsoup4==4.12.3
|
||||
# via extract-msg
|
||||
# via unstructured
|
||||
bidict==0.23.1
|
||||
# via python-socketio
|
||||
black==24.8.0
|
||||
# via open-webui
|
||||
blinker==1.8.2
|
||||
# via flask
|
||||
boto3==1.34.153
|
||||
# via open-webui
|
||||
botocore==1.34.155
|
||||
# via boto3
|
||||
# via s3transfer
|
||||
build==1.2.1
|
||||
# via chromadb
|
||||
cachetools==5.3.3
|
||||
# via google-auth
|
||||
certifi==2024.2.2
|
||||
# via httpcore
|
||||
# via httpx
|
||||
# via kubernetes
|
||||
# via requests
|
||||
# via unstructured-client
|
||||
cffi==1.16.0
|
||||
# via argon2-cffi-bindings
|
||||
# via cryptography
|
||||
chardet==5.2.0
|
||||
# via unstructured
|
||||
charset-normalizer==3.3.2
|
||||
# via requests
|
||||
# via unstructured-client
|
||||
chroma-hnswlib==0.7.5
|
||||
# via chromadb
|
||||
chromadb==0.5.4
|
||||
# via langchain-chroma
|
||||
# via open-webui
|
||||
click==8.1.7
|
||||
# via black
|
||||
# via duckduckgo-search
|
||||
# via flask
|
||||
# via nltk
|
||||
# via peewee-migrate
|
||||
# via typer
|
||||
# via uvicorn
|
||||
colorclass==2.2.2
|
||||
# via oletools
|
||||
coloredlogs==15.0.1
|
||||
# via onnxruntime
|
||||
compressed-rtf==1.0.6
|
||||
# via extract-msg
|
||||
cryptography==42.0.7
|
||||
# via authlib
|
||||
# via msoffcrypto-tool
|
||||
# via pyjwt
|
||||
ctranslate2==4.2.1
|
||||
# via faster-whisper
|
||||
dataclasses-json==0.6.6
|
||||
# via langchain-community
|
||||
# via unstructured
|
||||
# via unstructured-client
|
||||
deepdiff==7.0.1
|
||||
# via unstructured-client
|
||||
defusedxml==0.7.1
|
||||
# via fpdf2
|
||||
deprecated==1.2.14
|
||||
# via opentelemetry-api
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
distro==1.9.0
|
||||
# via anthropic
|
||||
# via openai
|
||||
dnspython==2.6.1
|
||||
# via email-validator
|
||||
# via pymongo
|
||||
docker==7.1.0
|
||||
# via open-webui
|
||||
docx2txt==0.8
|
||||
# via open-webui
|
||||
duckduckgo-search==6.2.6
|
||||
# via open-webui
|
||||
easygui==0.98.3
|
||||
# via oletools
|
||||
ebcdic==1.1.1
|
||||
# via extract-msg
|
||||
ecdsa==0.19.0
|
||||
# via python-jose
|
||||
email-validator==2.1.1
|
||||
# via fastapi
|
||||
emoji==2.11.1
|
||||
# via unstructured
|
||||
et-xmlfile==1.1.0
|
||||
# via openpyxl
|
||||
extract-msg==0.48.5
|
||||
# via open-webui
|
||||
fake-useragent==1.5.1
|
||||
# via open-webui
|
||||
fastapi==0.111.0
|
||||
# via chromadb
|
||||
# via langchain-chroma
|
||||
# via open-webui
|
||||
fastapi-cli==0.0.4
|
||||
# via fastapi
|
||||
faster-whisper==1.0.2
|
||||
# via open-webui
|
||||
filelock==3.14.0
|
||||
# via huggingface-hub
|
||||
# via torch
|
||||
# via transformers
|
||||
filetype==1.2.0
|
||||
# via unstructured
|
||||
flask==3.0.3
|
||||
# via flask-cors
|
||||
# via open-webui
|
||||
flask-cors==4.0.1
|
||||
# via open-webui
|
||||
flatbuffers==24.3.25
|
||||
# via onnxruntime
|
||||
fonttools==4.51.0
|
||||
# via fpdf2
|
||||
fpdf2==2.7.9
|
||||
# via open-webui
|
||||
frozenlist==1.4.1
|
||||
# via aiohttp
|
||||
# via aiosignal
|
||||
fsspec==2024.3.1
|
||||
# via huggingface-hub
|
||||
# via torch
|
||||
google-ai-generativelanguage==0.6.6
|
||||
# via google-generativeai
|
||||
google-api-core==2.19.0
|
||||
# via google-ai-generativelanguage
|
||||
# via google-api-python-client
|
||||
# via google-generativeai
|
||||
google-api-python-client==2.129.0
|
||||
# via google-generativeai
|
||||
google-auth==2.29.0
|
||||
# via google-ai-generativelanguage
|
||||
# via google-api-core
|
||||
# via google-api-python-client
|
||||
# via google-auth-httplib2
|
||||
# via google-generativeai
|
||||
# via kubernetes
|
||||
google-auth-httplib2==0.2.0
|
||||
# via google-api-python-client
|
||||
google-generativeai==0.7.2
|
||||
# via open-webui
|
||||
googleapis-common-protos==1.63.0
|
||||
# via google-api-core
|
||||
# via grpcio-status
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
grpcio==1.63.0
|
||||
# via chromadb
|
||||
# via google-api-core
|
||||
# via grpcio-status
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
grpcio-status==1.62.2
|
||||
# via google-api-core
|
||||
h11==0.14.0
|
||||
# via httpcore
|
||||
# via uvicorn
|
||||
# via wsproto
|
||||
httpcore==1.0.5
|
||||
# via httpx
|
||||
httplib2==0.22.0
|
||||
# via google-api-python-client
|
||||
# via google-auth-httplib2
|
||||
httptools==0.6.1
|
||||
# via uvicorn
|
||||
httpx==0.27.0
|
||||
# via anthropic
|
||||
# via chromadb
|
||||
# via fastapi
|
||||
# via langfuse
|
||||
# via openai
|
||||
huggingface-hub==0.23.0
|
||||
# via faster-whisper
|
||||
# via sentence-transformers
|
||||
# via tokenizers
|
||||
# via transformers
|
||||
humanfriendly==10.0
|
||||
# via coloredlogs
|
||||
idna==3.7
|
||||
# via anyio
|
||||
# via email-validator
|
||||
# via httpx
|
||||
# via langfuse
|
||||
# via requests
|
||||
# via unstructured-client
|
||||
# via yarl
|
||||
importlib-metadata==7.0.0
|
||||
# via opentelemetry-api
|
||||
importlib-resources==6.4.0
|
||||
# via chromadb
|
||||
iniconfig==2.0.0
|
||||
# via pytest
|
||||
itsdangerous==2.2.0
|
||||
# via flask
|
||||
jinja2==3.1.4
|
||||
# via fastapi
|
||||
# via flask
|
||||
# via torch
|
||||
jiter==0.5.0
|
||||
# via anthropic
|
||||
jmespath==1.0.1
|
||||
# via boto3
|
||||
# via botocore
|
||||
joblib==1.4.2
|
||||
# via nltk
|
||||
# via scikit-learn
|
||||
jsonpatch==1.33
|
||||
# via langchain-core
|
||||
jsonpath-python==1.0.6
|
||||
# via unstructured-client
|
||||
jsonpointer==2.4
|
||||
# via jsonpatch
|
||||
kubernetes==29.0.0
|
||||
# via chromadb
|
||||
langchain==0.2.11
|
||||
# via langchain-community
|
||||
# via open-webui
|
||||
langchain-chroma==0.1.2
|
||||
# via open-webui
|
||||
langchain-community==0.2.10
|
||||
# via open-webui
|
||||
langchain-core==0.2.28
|
||||
# via langchain
|
||||
# via langchain-chroma
|
||||
# via langchain-community
|
||||
# via langchain-text-splitters
|
||||
langchain-text-splitters==0.2.0
|
||||
# via langchain
|
||||
langdetect==1.0.9
|
||||
# via unstructured
|
||||
langfuse==2.39.2
|
||||
# via open-webui
|
||||
langsmith==0.1.96
|
||||
# via langchain
|
||||
# via langchain-community
|
||||
# via langchain-core
|
||||
lark==1.1.8
|
||||
# via rtfde
|
||||
lxml==5.2.2
|
||||
# via python-pptx
|
||||
# via unstructured
|
||||
mako==1.3.5
|
||||
# via alembic
|
||||
markdown==3.6
|
||||
# via open-webui
|
||||
markdown-it-py==3.0.0
|
||||
# via rich
|
||||
markupsafe==2.1.5
|
||||
# via jinja2
|
||||
# via mako
|
||||
# via werkzeug
|
||||
marshmallow==3.21.2
|
||||
# via dataclasses-json
|
||||
# via unstructured-client
|
||||
mdurl==0.1.2
|
||||
# via markdown-it-py
|
||||
mmh3==4.1.0
|
||||
# via chromadb
|
||||
monotonic==1.6
|
||||
# via posthog
|
||||
mpmath==1.3.0
|
||||
# via sympy
|
||||
msoffcrypto-tool==5.4.1
|
||||
# via oletools
|
||||
multidict==6.0.5
|
||||
# via aiohttp
|
||||
# via yarl
|
||||
mypy-extensions==1.0.0
|
||||
# via black
|
||||
# via typing-inspect
|
||||
# via unstructured-client
|
||||
networkx==3.3
|
||||
# via torch
|
||||
nltk==3.8.1
|
||||
# via unstructured
|
||||
numpy==1.26.4
|
||||
# via chroma-hnswlib
|
||||
# via chromadb
|
||||
# via ctranslate2
|
||||
# via langchain
|
||||
# via langchain-chroma
|
||||
# via langchain-community
|
||||
# via onnxruntime
|
||||
# via opencv-python
|
||||
# via opencv-python-headless
|
||||
# via pandas
|
||||
# via rank-bm25
|
||||
# via rapidocr-onnxruntime
|
||||
# via scikit-learn
|
||||
# via scipy
|
||||
# via sentence-transformers
|
||||
# via shapely
|
||||
# via transformers
|
||||
# via unstructured
|
||||
oauthlib==3.2.2
|
||||
# via kubernetes
|
||||
# via requests-oauthlib
|
||||
olefile==0.47
|
||||
# via extract-msg
|
||||
# via msoffcrypto-tool
|
||||
# via oletools
|
||||
oletools==0.60.1
|
||||
# via pcodedmp
|
||||
# via rtfde
|
||||
onnxruntime==1.17.3
|
||||
# via chromadb
|
||||
# via faster-whisper
|
||||
# via rapidocr-onnxruntime
|
||||
openai==1.38.0
|
||||
# via open-webui
|
||||
opencv-python==4.9.0.80
|
||||
# via rapidocr-onnxruntime
|
||||
opencv-python-headless==4.10.0.84
|
||||
# via open-webui
|
||||
openpyxl==3.1.5
|
||||
# via open-webui
|
||||
opentelemetry-api==1.24.0
|
||||
# via chromadb
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
# via opentelemetry-instrumentation
|
||||
# via opentelemetry-instrumentation-asgi
|
||||
# via opentelemetry-instrumentation-fastapi
|
||||
# via opentelemetry-sdk
|
||||
opentelemetry-exporter-otlp-proto-common==1.24.0
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
opentelemetry-exporter-otlp-proto-grpc==1.24.0
|
||||
# via chromadb
|
||||
opentelemetry-instrumentation==0.45b0
|
||||
# via opentelemetry-instrumentation-asgi
|
||||
# via opentelemetry-instrumentation-fastapi
|
||||
opentelemetry-instrumentation-asgi==0.45b0
|
||||
# via opentelemetry-instrumentation-fastapi
|
||||
opentelemetry-instrumentation-fastapi==0.45b0
|
||||
# via chromadb
|
||||
opentelemetry-proto==1.24.0
|
||||
# via opentelemetry-exporter-otlp-proto-common
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
opentelemetry-sdk==1.24.0
|
||||
# via chromadb
|
||||
# via opentelemetry-exporter-otlp-proto-grpc
|
||||
opentelemetry-semantic-conventions==0.45b0
|
||||
# via opentelemetry-instrumentation-asgi
|
||||
# via opentelemetry-instrumentation-fastapi
|
||||
# via opentelemetry-sdk
|
||||
opentelemetry-util-http==0.45b0
|
||||
# via opentelemetry-instrumentation-asgi
|
||||
# via opentelemetry-instrumentation-fastapi
|
||||
ordered-set==4.1.0
|
||||
# via deepdiff
|
||||
orjson==3.10.3
|
||||
# via chromadb
|
||||
# via fastapi
|
||||
# via langsmith
|
||||
overrides==7.7.0
|
||||
# via chromadb
|
||||
packaging==23.2
|
||||
# via black
|
||||
# via build
|
||||
# via huggingface-hub
|
||||
# via langchain-core
|
||||
# via langfuse
|
||||
# via marshmallow
|
||||
# via onnxruntime
|
||||
# via pytest
|
||||
# via transformers
|
||||
# via unstructured-client
|
||||
pandas==2.2.2
|
||||
# via open-webui
|
||||
passlib==1.7.4
|
||||
# via open-webui
|
||||
pathspec==0.12.1
|
||||
# via black
|
||||
pcodedmp==1.2.6
|
||||
# via oletools
|
||||
peewee==3.17.6
|
||||
# via open-webui
|
||||
# via peewee-migrate
|
||||
peewee-migrate==1.12.2
|
||||
# via open-webui
|
||||
pillow==10.3.0
|
||||
# via fpdf2
|
||||
# via python-pptx
|
||||
# via rapidocr-onnxruntime
|
||||
# via sentence-transformers
|
||||
platformdirs==4.2.1
|
||||
# via black
|
||||
pluggy==1.5.0
|
||||
# via pytest
|
||||
posthog==3.5.0
|
||||
# via chromadb
|
||||
primp==0.5.5
|
||||
# via duckduckgo-search
|
||||
proto-plus==1.23.0
|
||||
# via google-ai-generativelanguage
|
||||
# via google-api-core
|
||||
protobuf==4.25.3
|
||||
# via google-ai-generativelanguage
|
||||
# via google-api-core
|
||||
# via google-generativeai
|
||||
# via googleapis-common-protos
|
||||
# via grpcio-status
|
||||
# via onnxruntime
|
||||
# via opentelemetry-proto
|
||||
# via proto-plus
|
||||
psutil==6.0.0
|
||||
# via open-webui
|
||||
# via unstructured
|
||||
psycopg2-binary==2.9.9
|
||||
# via open-webui
|
||||
pyasn1==0.6.0
|
||||
# via pyasn1-modules
|
||||
# via python-jose
|
||||
# via rsa
|
||||
pyasn1-modules==0.4.0
|
||||
# via google-auth
|
||||
pyclipper==1.3.0.post5
|
||||
# via rapidocr-onnxruntime
|
||||
pycparser==2.22
|
||||
# via cffi
|
||||
pydantic==2.8.2
|
||||
# via anthropic
|
||||
# via chromadb
|
||||
# via fastapi
|
||||
# via google-generativeai
|
||||
# via langchain
|
||||
# via langchain-core
|
||||
# via langfuse
|
||||
# via langsmith
|
||||
# via open-webui
|
||||
# via openai
|
||||
pydantic-core==2.20.1
|
||||
# via pydantic
|
||||
pydub==0.25.1
|
||||
# via open-webui
|
||||
pygments==2.18.0
|
||||
# via rich
|
||||
pyjwt==2.8.0
|
||||
# via open-webui
|
||||
pymongo==4.8.0
|
||||
# via open-webui
|
||||
pymysql==1.1.1
|
||||
# via open-webui
|
||||
pypandoc==1.13
|
||||
# via open-webui
|
||||
pyparsing==2.4.7
|
||||
# via httplib2
|
||||
# via oletools
|
||||
pypdf==4.3.1
|
||||
# via open-webui
|
||||
# via unstructured-client
|
||||
pypika==0.48.9
|
||||
# via chromadb
|
||||
pyproject-hooks==1.1.0
|
||||
# via build
|
||||
pytest==8.2.2
|
||||
# via open-webui
|
||||
# via pytest-docker
|
||||
pytest-docker==3.1.1
|
||||
# via open-webui
|
||||
python-dateutil==2.9.0.post0
|
||||
# via botocore
|
||||
# via kubernetes
|
||||
# via pandas
|
||||
# via posthog
|
||||
# via unstructured-client
|
||||
python-dotenv==1.0.1
|
||||
# via uvicorn
|
||||
python-engineio==4.9.0
|
||||
# via python-socketio
|
||||
python-iso639==2024.4.27
|
||||
# via unstructured
|
||||
python-jose==3.3.0
|
||||
# via open-webui
|
||||
python-magic==0.4.27
|
||||
# via unstructured
|
||||
python-multipart==0.0.9
|
||||
# via fastapi
|
||||
# via open-webui
|
||||
python-pptx==1.0.0
|
||||
# via open-webui
|
||||
python-socketio==5.11.3
|
||||
# via open-webui
|
||||
pytube==15.0.0
|
||||
# via open-webui
|
||||
pytz==2024.1
|
||||
# via apscheduler
|
||||
# via pandas
|
||||
pyxlsb==1.0.10
|
||||
# via open-webui
|
||||
pyyaml==6.0.1
|
||||
# via chromadb
|
||||
# via ctranslate2
|
||||
# via huggingface-hub
|
||||
# via kubernetes
|
||||
# via langchain
|
||||
# via langchain-community
|
||||
# via langchain-core
|
||||
# via rapidocr-onnxruntime
|
||||
# via transformers
|
||||
# via uvicorn
|
||||
rank-bm25==0.2.2
|
||||
# via open-webui
|
||||
rapidfuzz==3.9.0
|
||||
# via unstructured
|
||||
rapidocr-onnxruntime==1.3.24
|
||||
# via open-webui
|
||||
red-black-tree-mod==1.20
|
||||
# via extract-msg
|
||||
redis==5.0.8
|
||||
# via open-webui
|
||||
regex==2024.5.10
|
||||
# via nltk
|
||||
# via tiktoken
|
||||
# via transformers
|
||||
requests==2.32.3
|
||||
# via docker
|
||||
# via google-api-core
|
||||
# via huggingface-hub
|
||||
# via kubernetes
|
||||
# via langchain
|
||||
# via langchain-community
|
||||
# via langsmith
|
||||
# via open-webui
|
||||
# via posthog
|
||||
# via requests-oauthlib
|
||||
# via tiktoken
|
||||
# via transformers
|
||||
# via unstructured
|
||||
# via unstructured-client
|
||||
# via youtube-transcript-api
|
||||
requests-oauthlib==2.0.0
|
||||
# via kubernetes
|
||||
rich==13.7.1
|
||||
# via typer
|
||||
rsa==4.9
|
||||
# via google-auth
|
||||
# via python-jose
|
||||
rtfde==0.1.1
|
||||
# via extract-msg
|
||||
s3transfer==0.10.1
|
||||
# via boto3
|
||||
safetensors==0.4.3
|
||||
# via transformers
|
||||
scikit-learn==1.4.2
|
||||
# via sentence-transformers
|
||||
scipy==1.13.0
|
||||
# via scikit-learn
|
||||
# via sentence-transformers
|
||||
sentence-transformers==3.0.1
|
||||
# via open-webui
|
||||
setuptools==69.5.1
|
||||
# via ctranslate2
|
||||
# via opentelemetry-instrumentation
|
||||
shapely==2.0.5
|
||||
# via rapidocr-onnxruntime
|
||||
shellingham==1.5.4
|
||||
# via typer
|
||||
simple-websocket==1.0.0
|
||||
# via python-engineio
|
||||
six==1.16.0
|
||||
# via apscheduler
|
||||
# via ecdsa
|
||||
# via kubernetes
|
||||
# via langdetect
|
||||
# via posthog
|
||||
# via python-dateutil
|
||||
# via rapidocr-onnxruntime
|
||||
# via unstructured-client
|
||||
sniffio==1.3.1
|
||||
# via anthropic
|
||||
# via anyio
|
||||
# via httpx
|
||||
# via openai
|
||||
soupsieve==2.5
|
||||
# via beautifulsoup4
|
||||
sqlalchemy==2.0.31
|
||||
# via alembic
|
||||
# via langchain
|
||||
# via langchain-community
|
||||
# via open-webui
|
||||
starlette==0.37.2
|
||||
# via fastapi
|
||||
sympy==1.12
|
||||
# via onnxruntime
|
||||
# via torch
|
||||
tabulate==0.9.0
|
||||
# via unstructured
|
||||
tenacity==8.3.0
|
||||
# via chromadb
|
||||
# via langchain
|
||||
# via langchain-community
|
||||
# via langchain-core
|
||||
threadpoolctl==3.5.0
|
||||
# via scikit-learn
|
||||
tiktoken==0.7.0
|
||||
# via open-webui
|
||||
tokenizers==0.15.2
|
||||
# via anthropic
|
||||
# via chromadb
|
||||
# via faster-whisper
|
||||
# via transformers
|
||||
torch==2.3.0
|
||||
# via sentence-transformers
|
||||
tqdm==4.66.4
|
||||
# via chromadb
|
||||
# via google-generativeai
|
||||
# via huggingface-hub
|
||||
# via nltk
|
||||
# via openai
|
||||
# via sentence-transformers
|
||||
# via transformers
|
||||
# via unstructured
|
||||
transformers==4.39.3
|
||||
# via sentence-transformers
|
||||
typer==0.12.3
|
||||
# via chromadb
|
||||
# via fastapi-cli
|
||||
typing-extensions==4.11.0
|
||||
# via alembic
|
||||
# via anthropic
|
||||
# via chromadb
|
||||
# via fastapi
|
||||
# via google-generativeai
|
||||
# via huggingface-hub
|
||||
# via langchain-core
|
||||
# via openai
|
||||
# via opentelemetry-sdk
|
||||
# via pydantic
|
||||
# via pydantic-core
|
||||
# via python-pptx
|
||||
# via sqlalchemy
|
||||
# via torch
|
||||
# via typer
|
||||
# via typing-inspect
|
||||
# via unstructured
|
||||
# via unstructured-client
|
||||
typing-inspect==0.9.0
|
||||
# via dataclasses-json
|
||||
# via unstructured-client
|
||||
tzdata==2024.1
|
||||
# via pandas
|
||||
tzlocal==5.2
|
||||
# via apscheduler
|
||||
# via extract-msg
|
||||
ujson==5.10.0
|
||||
# via fastapi
|
||||
unstructured==0.15.0
|
||||
# via open-webui
|
||||
unstructured-client==0.22.0
|
||||
# via unstructured
|
||||
uritemplate==4.1.1
|
||||
# via google-api-python-client
|
||||
urllib3==2.2.1
|
||||
# via botocore
|
||||
# via docker
|
||||
# via kubernetes
|
||||
# via requests
|
||||
# via unstructured-client
|
||||
uvicorn==0.22.0
|
||||
# via chromadb
|
||||
# via fastapi
|
||||
# via open-webui
|
||||
uvloop==0.19.0
|
||||
# via uvicorn
|
||||
validators==0.33.0
|
||||
# via open-webui
|
||||
watchfiles==0.21.0
|
||||
# via uvicorn
|
||||
websocket-client==1.8.0
|
||||
# via kubernetes
|
||||
websockets==12.0
|
||||
# via uvicorn
|
||||
werkzeug==3.0.3
|
||||
# via flask
|
||||
wrapt==1.16.0
|
||||
# via deprecated
|
||||
# via langfuse
|
||||
# via opentelemetry-instrumentation
|
||||
# via unstructured
|
||||
wsproto==1.2.0
|
||||
# via simple-websocket
|
||||
xlrd==2.0.1
|
||||
# via open-webui
|
||||
xlsxwriter==3.2.0
|
||||
# via python-pptx
|
||||
yarl==1.9.4
|
||||
# via aiohttp
|
||||
youtube-transcript-api==0.6.2
|
||||
# via open-webui
|
||||
zipp==3.18.1
|
||||
# via importlib-metadata
|
||||
@@ -34,6 +34,10 @@ math {
|
||||
@apply rounded-lg;
|
||||
}
|
||||
|
||||
.markdown-prose {
|
||||
@apply prose dark:prose-invert prose-p:my-0 prose-img:my-1 prose-headings:my-1 prose-pre:my-0 prose-table:my-0 prose-blockquote:my-0 prose-ul:-my-0 prose-ol:-my-0 prose-li:-my-0 whitespace-pre-line;
|
||||
}
|
||||
|
||||
.markdown a {
|
||||
@apply underline;
|
||||
}
|
||||
|
||||
+1
-1
@@ -1,4 +1,4 @@
|
||||
<!DOCTYPE html>
|
||||
<!doctype html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="utf-8" />
|
||||
|
||||
@@ -132,7 +132,11 @@ export const synthesizeOpenAISpeech = async (
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getModels = async (token: string = '') => {
|
||||
interface AvailableModelsResponse {
|
||||
models: { name: string; id: string }[] | { id: string }[];
|
||||
}
|
||||
|
||||
export const getModels = async (token: string = ''): Promise<AvailableModelsResponse> => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${AUDIO_API_BASE_URL}/models`, {
|
||||
|
||||
+10
-252
@@ -1,6 +1,6 @@
|
||||
import { IMAGES_API_BASE_URL } from '$lib/constants';
|
||||
|
||||
export const getImageGenerationConfig = async (token: string = '') => {
|
||||
export const getConfig = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/config`, {
|
||||
@@ -32,11 +32,7 @@ export const getImageGenerationConfig = async (token: string = '') => {
|
||||
return res;
|
||||
};
|
||||
|
||||
export const updateImageGenerationConfig = async (
|
||||
token: string = '',
|
||||
engine: string,
|
||||
enabled: boolean
|
||||
) => {
|
||||
export const updateConfig = async (token: string = '', config: object) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/config/update`, {
|
||||
@@ -47,8 +43,7 @@ export const updateImageGenerationConfig = async (
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
},
|
||||
body: JSON.stringify({
|
||||
engine,
|
||||
enabled
|
||||
...config
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
@@ -72,10 +67,10 @@ export const updateImageGenerationConfig = async (
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getOpenAIConfig = async (token: string = '') => {
|
||||
export const verifyConfigUrl = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/openai/config`, {
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/config/url/verify`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
@@ -104,46 +99,10 @@ export const getOpenAIConfig = async (token: string = '') => {
|
||||
return res;
|
||||
};
|
||||
|
||||
export const updateOpenAIConfig = async (token: string = '', url: string, key: string) => {
|
||||
export const getImageGenerationConfig = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/openai/config/update`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
},
|
||||
body: JSON.stringify({
|
||||
url: url,
|
||||
key: key
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
} else {
|
||||
error = 'Server connection failed';
|
||||
}
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getImageGenerationEngineUrls = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/url`, {
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/image/config`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
@@ -172,19 +131,17 @@ export const getImageGenerationEngineUrls = async (token: string = '') => {
|
||||
return res;
|
||||
};
|
||||
|
||||
export const updateImageGenerationEngineUrls = async (token: string = '', urls: object = {}) => {
|
||||
export const updateImageGenerationConfig = async (token: string = '', config: object) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/url/update`, {
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/image/config/update`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
},
|
||||
body: JSON.stringify({
|
||||
...urls
|
||||
})
|
||||
body: JSON.stringify({ ...config })
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
@@ -207,138 +164,6 @@ export const updateImageGenerationEngineUrls = async (token: string = '', urls:
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getImageSize = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/size`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
}
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
} else {
|
||||
error = 'Server connection failed';
|
||||
}
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.IMAGE_SIZE;
|
||||
};
|
||||
|
||||
export const updateImageSize = async (token: string = '', size: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/size/update`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
},
|
||||
body: JSON.stringify({
|
||||
size: size
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
} else {
|
||||
error = 'Server connection failed';
|
||||
}
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.IMAGE_SIZE;
|
||||
};
|
||||
|
||||
export const getImageSteps = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/steps`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
}
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
} else {
|
||||
error = 'Server connection failed';
|
||||
}
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.IMAGE_STEPS;
|
||||
};
|
||||
|
||||
export const updateImageSteps = async (token: string = '', steps: number) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/steps/update`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
},
|
||||
body: JSON.stringify({ steps })
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
} else {
|
||||
error = 'Server connection failed';
|
||||
}
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.IMAGE_STEPS;
|
||||
};
|
||||
|
||||
export const getImageGenerationModels = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
@@ -371,73 +196,6 @@ export const getImageGenerationModels = async (token: string = '') => {
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getDefaultImageGenerationModel = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/models/default`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
}
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
} else {
|
||||
error = 'Server connection failed';
|
||||
}
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.model;
|
||||
};
|
||||
|
||||
export const updateDefaultImageGenerationModel = async (token: string = '', model: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/models/default/update`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
},
|
||||
body: JSON.stringify({
|
||||
model: model
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
} else {
|
||||
error = 'Server connection failed';
|
||||
}
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.model;
|
||||
};
|
||||
|
||||
export const imageGenerations = async (token: string = '', prompt: string) => {
|
||||
let error = null;
|
||||
|
||||
|
||||
@@ -69,6 +69,7 @@ type ChatCompletedForm = {
|
||||
model: string;
|
||||
messages: string[];
|
||||
chat_id: string;
|
||||
session_id: string;
|
||||
};
|
||||
|
||||
export const chatCompleted = async (token: string, body: ChatCompletedForm) => {
|
||||
@@ -332,6 +333,42 @@ export const generateSearchQuery = async (
|
||||
return res?.choices[0]?.message?.content.replace(/["']/g, '') ?? prompt;
|
||||
};
|
||||
|
||||
export const generateMoACompletion = async (
|
||||
token: string = '',
|
||||
model: string,
|
||||
prompt: string,
|
||||
responses: string[]
|
||||
) => {
|
||||
const controller = new AbortController();
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${WEBUI_BASE_URL}/api/task/moa/completions`, {
|
||||
signal: controller.signal,
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
model: model,
|
||||
prompt: prompt,
|
||||
responses: responses,
|
||||
stream: true
|
||||
})
|
||||
}).catch((err) => {
|
||||
console.log(err);
|
||||
error = err;
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return [res, controller];
|
||||
};
|
||||
|
||||
export const getPipelinesList = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
@@ -628,6 +665,7 @@ export const getBackendConfig = async () => {
|
||||
|
||||
const res = await fetch(`${WEBUI_BASE_URL}/api/config`, {
|
||||
method: 'GET',
|
||||
credentials: 'include',
|
||||
headers: {
|
||||
'Content-Type': 'application/json'
|
||||
}
|
||||
@@ -912,6 +950,7 @@ export interface ModelConfig {
|
||||
export interface ModelMeta {
|
||||
description?: string;
|
||||
capabilities?: object;
|
||||
profile_image_url?: string;
|
||||
}
|
||||
|
||||
export interface ModelParams {}
|
||||
|
||||
@@ -156,7 +156,7 @@ export const deleteMemoryById = async (token: string, id: string) => {
|
||||
export const deleteMemoriesByUserId = async (token: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${WEBUI_API_BASE_URL}/memories/user`, {
|
||||
const res = await fetch(`${WEBUI_API_BASE_URL}/memories/delete/user`, {
|
||||
method: 'DELETE',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
import { OLLAMA_API_BASE_URL } from '$lib/constants';
|
||||
import { titleGenerationTemplate } from '$lib/utils';
|
||||
|
||||
export const getOllamaConfig = async (token: string = '') => {
|
||||
let error = null;
|
||||
@@ -203,55 +202,6 @@ export const getOllamaModels = async (token: string = '') => {
|
||||
});
|
||||
};
|
||||
|
||||
// TODO: migrate to backend
|
||||
export const generateTitle = async (
|
||||
token: string = '',
|
||||
template: string,
|
||||
model: string,
|
||||
prompt: string
|
||||
) => {
|
||||
let error = null;
|
||||
|
||||
template = titleGenerationTemplate(template, prompt);
|
||||
|
||||
console.log(template);
|
||||
|
||||
const res = await fetch(`${OLLAMA_API_BASE_URL}/api/generate`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
model: model,
|
||||
prompt: template,
|
||||
stream: false,
|
||||
options: {
|
||||
// Restrict the number of tokens generated to 50
|
||||
num_predict: 50
|
||||
}
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
}
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res?.response.replace(/["']/g, '') ?? 'New Chat';
|
||||
};
|
||||
|
||||
export const generatePrompt = async (token: string = '', model: string, conversation: string) => {
|
||||
let error = null;
|
||||
|
||||
@@ -446,7 +396,7 @@ export const deleteModel = async (token: string, tagName: string, urlIdx: string
|
||||
return res;
|
||||
};
|
||||
|
||||
export const pullModel = async (token: string, tagName: string, urlIdx: string | null = null) => {
|
||||
export const pullModel = async (token: string, tagName: string, urlIdx: number | null = null) => {
|
||||
let error = null;
|
||||
const controller = new AbortController();
|
||||
|
||||
|
||||
@@ -1,6 +1,4 @@
|
||||
import { OPENAI_API_BASE_URL } from '$lib/constants';
|
||||
import { titleGenerationTemplate } from '$lib/utils';
|
||||
import { type Model, models, settings } from '$lib/stores';
|
||||
|
||||
export const getOpenAIConfig = async (token: string = '') => {
|
||||
let error = null;
|
||||
@@ -260,7 +258,7 @@ export const getOpenAIModelsDirect = async (
|
||||
throw error;
|
||||
}
|
||||
|
||||
const models = Array.isArray(res) ? res : res?.data ?? null;
|
||||
const models = Array.isArray(res) ? res : (res?.data ?? null);
|
||||
|
||||
return models
|
||||
.map((model) => ({ id: model.id, name: model.name ?? model.id, external: true }))
|
||||
@@ -330,126 +328,3 @@ export const synthesizeOpenAISpeech = async (
|
||||
|
||||
return res;
|
||||
};
|
||||
|
||||
export const generateTitle = async (
|
||||
token: string = '',
|
||||
template: string,
|
||||
model: string,
|
||||
prompt: string,
|
||||
chat_id?: string,
|
||||
url: string = OPENAI_API_BASE_URL
|
||||
) => {
|
||||
let error = null;
|
||||
|
||||
template = titleGenerationTemplate(template, prompt);
|
||||
|
||||
console.log(template);
|
||||
|
||||
const res = await fetch(`${url}/chat/completions`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
model: model,
|
||||
messages: [
|
||||
{
|
||||
role: 'user',
|
||||
content: template
|
||||
}
|
||||
],
|
||||
stream: false,
|
||||
// Restricting the max tokens to 50 to avoid long titles
|
||||
max_tokens: 50,
|
||||
...(chat_id && { chat_id: chat_id }),
|
||||
title: true
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
}
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res?.choices[0]?.message?.content.replace(/["']/g, '') ?? 'New Chat';
|
||||
};
|
||||
|
||||
export const generateSearchQuery = async (
|
||||
token: string = '',
|
||||
model: string,
|
||||
previousMessages: string[],
|
||||
prompt: string,
|
||||
url: string = OPENAI_API_BASE_URL
|
||||
): Promise<string | undefined> => {
|
||||
let error = null;
|
||||
|
||||
// TODO: Allow users to specify the prompt
|
||||
// Get the current date in the format "January 20, 2024"
|
||||
const currentDate = new Intl.DateTimeFormat('en-US', {
|
||||
year: 'numeric',
|
||||
month: 'long',
|
||||
day: '2-digit'
|
||||
}).format(new Date());
|
||||
|
||||
const res = await fetch(`${url}/chat/completions`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
model: model,
|
||||
// Few shot prompting
|
||||
messages: [
|
||||
{
|
||||
role: 'assistant',
|
||||
content: `You are tasked with generating web search queries. Give me an appropriate query to answer my question for google search. Answer with only the query. Today is ${currentDate}.`
|
||||
},
|
||||
{
|
||||
role: 'user',
|
||||
content: prompt
|
||||
}
|
||||
// {
|
||||
// role: 'user',
|
||||
// content:
|
||||
// (previousMessages.length > 0
|
||||
// ? `Previous Questions:\n${previousMessages.join('\n')}\n\n`
|
||||
// : '') + `Current Question: ${prompt}`
|
||||
// }
|
||||
],
|
||||
stream: false,
|
||||
// Restricting the max tokens to 30 to avoid long search queries
|
||||
max_tokens: 30
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
}
|
||||
return undefined;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res?.choices[0]?.message?.content.replace(/["']/g, '') ?? undefined;
|
||||
};
|
||||
|
||||
@@ -400,7 +400,7 @@ export const resetUploadDir = async (token: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${RAG_API_BASE_URL}/reset/uploads`, {
|
||||
method: 'GET',
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
authorization: `Bearer ${token}`
|
||||
@@ -426,7 +426,7 @@ export const resetVectorDB = async (token: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${RAG_API_BASE_URL}/reset/db`, {
|
||||
method: 'GET',
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
authorization: `Bearer ${token}`
|
||||
|
||||
@@ -75,12 +75,12 @@
|
||||
class="font-semibold uppercase text-xs {section === 'added'
|
||||
? 'text-white bg-blue-600'
|
||||
: section === 'fixed'
|
||||
? 'text-white bg-green-600'
|
||||
: section === 'changed'
|
||||
? 'text-white bg-yellow-600'
|
||||
: section === 'removed'
|
||||
? 'text-white bg-red-600'
|
||||
: ''} w-fit px-3 rounded-full my-2.5"
|
||||
? 'text-white bg-green-600'
|
||||
: section === 'changed'
|
||||
? 'text-white bg-yellow-600'
|
||||
: section === 'removed'
|
||||
? 'text-white bg-red-600'
|
||||
: ''} w-fit px-3 rounded-full my-2.5"
|
||||
>
|
||||
{section}
|
||||
</div>
|
||||
|
||||
@@ -336,8 +336,11 @@
|
||||
<div class="flex-1 mt-3 lg:mt-0 overflow-y-scroll">
|
||||
{#if selectedTab === 'general'}
|
||||
<General
|
||||
saveHandler={() => {
|
||||
saveHandler={async () => {
|
||||
toast.success($i18n.t('Settings saved successfully!'));
|
||||
|
||||
await tick();
|
||||
await config.set(await getBackendConfig());
|
||||
}}
|
||||
/>
|
||||
{:else if selectedTab === 'users'}
|
||||
@@ -356,8 +359,11 @@
|
||||
<Models />
|
||||
{:else if selectedTab === 'documents'}
|
||||
<Documents
|
||||
saveHandler={() => {
|
||||
on:save={async () => {
|
||||
toast.success($i18n.t('Settings saved successfully!'));
|
||||
|
||||
await tick();
|
||||
await config.set(await getBackendConfig());
|
||||
}}
|
||||
/>
|
||||
{:else if selectedTab === 'web'}
|
||||
|
||||
@@ -10,31 +10,36 @@
|
||||
getModels as _getModels,
|
||||
getVoices as _getVoices
|
||||
} from '$lib/apis/audio';
|
||||
import { user, settings, config } from '$lib/stores';
|
||||
import { config } from '$lib/stores';
|
||||
|
||||
import SensitiveInput from '$lib/components/common/SensitiveInput.svelte';
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
import { TTS_RESPONSE_SPLIT } from '$lib/types';
|
||||
|
||||
export let saveHandler: Function;
|
||||
import type { Writable } from 'svelte/store';
|
||||
import type { i18n as i18nType } from 'i18next';
|
||||
|
||||
const i18n = getContext<Writable<i18nType>>('i18n');
|
||||
|
||||
export let saveHandler: () => void;
|
||||
|
||||
// Audio
|
||||
|
||||
let TTS_OPENAI_API_BASE_URL = '';
|
||||
let TTS_OPENAI_API_KEY = '';
|
||||
let TTS_API_KEY = '';
|
||||
let TTS_ENGINE = '';
|
||||
let TTS_MODEL = '';
|
||||
let TTS_VOICE = '';
|
||||
let TTS_SPLIT_ON: TTS_RESPONSE_SPLIT = TTS_RESPONSE_SPLIT.PUNCTUATION;
|
||||
|
||||
let STT_OPENAI_API_BASE_URL = '';
|
||||
let STT_OPENAI_API_KEY = '';
|
||||
let STT_ENGINE = '';
|
||||
let STT_MODEL = '';
|
||||
|
||||
let voices = [];
|
||||
let models = [];
|
||||
let nonLocalVoices = false;
|
||||
// eslint-disable-next-line no-undef
|
||||
let voices: SpeechSynthesisVoice[] = [];
|
||||
let models: Awaited<ReturnType<typeof _getModels>>['models'] = [];
|
||||
|
||||
const getModels = async () => {
|
||||
if (TTS_ENGINE === '') {
|
||||
@@ -53,8 +58,8 @@
|
||||
|
||||
const getVoices = async () => {
|
||||
if (TTS_ENGINE === '') {
|
||||
const getVoicesLoop = setInterval(async () => {
|
||||
voices = await speechSynthesis.getVoices();
|
||||
const getVoicesLoop = setInterval(() => {
|
||||
voices = speechSynthesis.getVoices();
|
||||
|
||||
// do your loop
|
||||
if (voices.length > 0) {
|
||||
@@ -81,7 +86,8 @@
|
||||
API_KEY: TTS_API_KEY,
|
||||
ENGINE: TTS_ENGINE,
|
||||
MODEL: TTS_MODEL,
|
||||
VOICE: TTS_VOICE
|
||||
VOICE: TTS_VOICE,
|
||||
SPLIT_ON: TTS_SPLIT_ON
|
||||
},
|
||||
stt: {
|
||||
OPENAI_API_BASE_URL: STT_OPENAI_API_BASE_URL,
|
||||
@@ -92,9 +98,10 @@
|
||||
});
|
||||
|
||||
if (res) {
|
||||
toast.success($i18n.t('Audio settings updated successfully'));
|
||||
|
||||
config.set(await getBackendConfig());
|
||||
saveHandler();
|
||||
getBackendConfig()
|
||||
.then(config.set)
|
||||
.catch(() => {});
|
||||
}
|
||||
};
|
||||
|
||||
@@ -111,6 +118,8 @@
|
||||
TTS_MODEL = res.tts.MODEL;
|
||||
TTS_VOICE = res.tts.VOICE;
|
||||
|
||||
TTS_SPLIT_ON = res.tts.SPLIT_ON || TTS_RESPONSE_SPLIT.PUNCTUATION;
|
||||
|
||||
STT_OPENAI_API_BASE_URL = res.stt.OPENAI_API_BASE_URL;
|
||||
STT_OPENAI_API_KEY = res.stt.OPENAI_API_KEY;
|
||||
|
||||
@@ -139,7 +148,7 @@
|
||||
<div class=" self-center text-xs font-medium">{$i18n.t('Speech-to-Text Engine')}</div>
|
||||
<div class="flex items-center relative">
|
||||
<select
|
||||
class="dark:bg-gray-900 w-fit pr-8 rounded px-2 p-1 text-xs bg-transparent outline-none text-right"
|
||||
class="dark:bg-gray-900 cursor-pointer w-fit pr-8 rounded px-2 p-1 text-xs bg-transparent outline-none text-right"
|
||||
bind:value={STT_ENGINE}
|
||||
placeholder="Select an engine"
|
||||
>
|
||||
@@ -195,7 +204,7 @@
|
||||
<div class=" self-center text-xs font-medium">{$i18n.t('Text-to-Speech Engine')}</div>
|
||||
<div class="flex items-center relative">
|
||||
<select
|
||||
class=" dark:bg-gray-900 w-fit pr-8 rounded px-2 p-1 text-xs bg-transparent outline-none text-right"
|
||||
class=" dark:bg-gray-900 w-fit pr-8 cursor-pointer rounded px-2 p-1 text-xs bg-transparent outline-none text-right"
|
||||
bind:value={TTS_ENGINE}
|
||||
placeholder="Select a mode"
|
||||
on:change={async (e) => {
|
||||
@@ -203,7 +212,7 @@
|
||||
await getVoices();
|
||||
await getModels();
|
||||
|
||||
if (e.target.value === 'openai') {
|
||||
if (e.target?.value === 'openai') {
|
||||
TTS_VOICE = 'alloy';
|
||||
TTS_MODEL = 'tts-1';
|
||||
} else {
|
||||
@@ -351,6 +360,30 @@
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
<hr class="dark:border-gray-850 my-2" />
|
||||
|
||||
<div class="pt-0.5 flex w-full justify-between">
|
||||
<div class="self-center text-xs font-medium">{$i18n.t('Response splitting')}</div>
|
||||
<div class="flex items-center relative">
|
||||
<select
|
||||
class="dark:bg-gray-900 w-fit pr-8 cursor-pointer rounded px-2 p-1 text-xs bg-transparent outline-none text-right"
|
||||
aria-label="Select how to split message text for TTS requests"
|
||||
bind:value={TTS_SPLIT_ON}
|
||||
>
|
||||
{#each Object.values(TTS_RESPONSE_SPLIT) as split}
|
||||
<option value={split}
|
||||
>{$i18n.t(split.charAt(0).toUpperCase() + split.slice(1))}</option
|
||||
>
|
||||
{/each}
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
<div class="mt-2 mb-1 text-xs text-gray-400 dark:text-gray-500">
|
||||
{$i18n.t(
|
||||
"Control how message text is split for TTS requests. 'Punctuation' splits into sentences, 'paragraphs' splits into paragraphs, and 'none' keeps the message as a single string."
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -1,4 +1,8 @@
|
||||
<script lang="ts">
|
||||
import { onMount, getContext, createEventDispatcher } from 'svelte';
|
||||
|
||||
const dispatch = createEventDispatcher();
|
||||
|
||||
import { getDocs } from '$lib/apis/documents';
|
||||
import { deleteAllFiles, deleteFileById } from '$lib/apis/files';
|
||||
import {
|
||||
@@ -18,14 +22,12 @@
|
||||
import ResetVectorDBConfirmDialog from '$lib/components/common/ConfirmDialog.svelte';
|
||||
|
||||
import { documents, models } from '$lib/stores';
|
||||
import { onMount, getContext } from 'svelte';
|
||||
import { toast } from 'svelte-sonner';
|
||||
import SensitiveInput from '$lib/components/common/SensitiveInput.svelte';
|
||||
import Tooltip from '$lib/components/common/Tooltip.svelte';
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
export let saveHandler: Function;
|
||||
|
||||
let scanDirLoading = false;
|
||||
let updateEmbeddingModelLoading = false;
|
||||
let updateRerankingModelLoading = false;
|
||||
@@ -37,6 +39,9 @@
|
||||
let embeddingModel = '';
|
||||
let rerankingModel = '';
|
||||
|
||||
let fileMaxSize = null;
|
||||
let fileMaxCount = null;
|
||||
|
||||
let contentExtractionEngine = 'default';
|
||||
let tikaServerUrl = '';
|
||||
let showTikaServerUrl = false;
|
||||
@@ -112,7 +117,7 @@
|
||||
url: OpenAIUrl,
|
||||
batch_size: OpenAIBatchSize
|
||||
}
|
||||
}
|
||||
}
|
||||
: {})
|
||||
}).catch(async (error) => {
|
||||
toast.error(error);
|
||||
@@ -161,19 +166,22 @@
|
||||
};
|
||||
|
||||
const submitHandler = async () => {
|
||||
embeddingModelUpdateHandler();
|
||||
await embeddingModelUpdateHandler();
|
||||
|
||||
if (querySettings.hybrid) {
|
||||
rerankingModelUpdateHandler();
|
||||
await rerankingModelUpdateHandler();
|
||||
}
|
||||
|
||||
if (contentExtractionEngine === 'tika' && tikaServerUrl === '') {
|
||||
toast.error($i18n.t('Tika Server URL required.'));
|
||||
return;
|
||||
}
|
||||
|
||||
const res = await updateRAGConfig(localStorage.token, {
|
||||
pdf_extract_images: pdfExtractImages,
|
||||
file: {
|
||||
max_size: fileMaxSize === '' ? null : fileMaxSize,
|
||||
max_count: fileMaxCount === '' ? null : fileMaxCount
|
||||
},
|
||||
chunk: {
|
||||
chunk_overlap: chunkOverlap,
|
||||
chunk_size: chunkSize
|
||||
@@ -185,6 +193,8 @@
|
||||
});
|
||||
|
||||
await updateQuerySettings(localStorage.token, querySettings);
|
||||
|
||||
dispatch('save');
|
||||
};
|
||||
|
||||
const setEmbeddingConfig = async () => {
|
||||
@@ -218,7 +228,6 @@
|
||||
await setRerankingConfig();
|
||||
|
||||
querySettings = await getQuerySettings(localStorage.token);
|
||||
|
||||
const res = await getRAGConfig(localStorage.token);
|
||||
|
||||
if (res) {
|
||||
@@ -230,6 +239,9 @@
|
||||
contentExtractionEngine = res.content_extraction.engine;
|
||||
tikaServerUrl = res.content_extraction.tika_server_url;
|
||||
showTikaServerUrl = contentExtractionEngine === 'tika';
|
||||
|
||||
fileMaxSize = res?.file.max_size ?? '';
|
||||
fileMaxCount = res?.file.max_count ?? '';
|
||||
}
|
||||
});
|
||||
</script>
|
||||
@@ -266,7 +278,6 @@
|
||||
class="flex flex-col h-full justify-between space-y-3 text-sm"
|
||||
on:submit|preventDefault={() => {
|
||||
submitHandler();
|
||||
saveHandler();
|
||||
}}
|
||||
>
|
||||
<div class=" space-y-2.5 overflow-y-scroll scrollbar-hidden h-full pr-1.5">
|
||||
@@ -610,6 +621,62 @@
|
||||
</div>
|
||||
{/if}
|
||||
</div>
|
||||
|
||||
<hr class=" dark:border-gray-850" />
|
||||
|
||||
<div class="">
|
||||
<div class="text-sm font-medium">{$i18n.t('Files')}</div>
|
||||
|
||||
<div class=" my-2 flex gap-1.5">
|
||||
<div class="w-full">
|
||||
<div class=" self-center text-xs font-medium min-w-fit mb-1">
|
||||
{$i18n.t('Max Upload Size')}
|
||||
</div>
|
||||
|
||||
<div class="self-center">
|
||||
<Tooltip
|
||||
content={$i18n.t(
|
||||
'The maximum file size in MB. If the file size exceeds this limit, the file will not be uploaded.'
|
||||
)}
|
||||
placement="top-start"
|
||||
>
|
||||
<input
|
||||
class="w-full rounded-lg py-1.5 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
type="number"
|
||||
placeholder={$i18n.t('Leave empty for unlimited')}
|
||||
bind:value={fileMaxSize}
|
||||
autocomplete="off"
|
||||
min="0"
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class=" w-full">
|
||||
<div class="self-center text-xs font-medium min-w-fit mb-1">
|
||||
{$i18n.t('Max Upload Count')}
|
||||
</div>
|
||||
<div class="self-center">
|
||||
<Tooltip
|
||||
content={$i18n.t(
|
||||
'The maximum number of files that can be used at once in chat. If the number of files exceeds this limit, the files will not be uploaded.'
|
||||
)}
|
||||
placement="top-start"
|
||||
>
|
||||
<input
|
||||
class=" w-full rounded-lg py-1.5 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
type="number"
|
||||
placeholder={$i18n.t('Leave empty for unlimited')}
|
||||
bind:value={fileMaxCount}
|
||||
autocomplete="off"
|
||||
min="0"
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<hr class=" dark:border-gray-850" />
|
||||
|
||||
<div class=" ">
|
||||
|
||||
@@ -1,22 +1,10 @@
|
||||
<script lang="ts">
|
||||
import {
|
||||
getCommunitySharingEnabledStatus,
|
||||
getWebhookUrl,
|
||||
toggleCommunitySharingEnabledStatus,
|
||||
updateWebhookUrl
|
||||
} from '$lib/apis';
|
||||
import {
|
||||
getAdminConfig,
|
||||
getDefaultUserRole,
|
||||
getJWTExpiresDuration,
|
||||
getSignUpEnabledStatus,
|
||||
toggleSignUpEnabledStatus,
|
||||
updateAdminConfig,
|
||||
updateDefaultUserRole,
|
||||
updateJWTExpiresDuration
|
||||
} from '$lib/apis/auths';
|
||||
import { getBackendConfig, getWebhookUrl, updateWebhookUrl } from '$lib/apis';
|
||||
import { getAdminConfig, updateAdminConfig } from '$lib/apis/auths';
|
||||
import Switch from '$lib/components/common/Switch.svelte';
|
||||
import { config } from '$lib/stores';
|
||||
import { onMount, getContext } from 'svelte';
|
||||
import { toast } from 'svelte-sonner';
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
@@ -30,7 +18,7 @@
|
||||
const res = await updateAdminConfig(localStorage.token, adminConfig);
|
||||
|
||||
if (res) {
|
||||
toast.success(i18n.t('Settings updated successfully'));
|
||||
saveHandler();
|
||||
} else {
|
||||
toast.error(i18n.t('Failed to update settings'));
|
||||
}
|
||||
@@ -51,9 +39,8 @@
|
||||
|
||||
<form
|
||||
class="flex flex-col h-full justify-between space-y-3 text-sm"
|
||||
on:submit|preventDefault={() => {
|
||||
on:submit|preventDefault={async () => {
|
||||
updateHandler();
|
||||
saveHandler();
|
||||
}}
|
||||
>
|
||||
<div class=" space-y-3 overflow-y-scroll scrollbar-hidden h-full">
|
||||
@@ -98,6 +85,12 @@
|
||||
<Switch bind:state={adminConfig.ENABLE_COMMUNITY_SHARING} />
|
||||
</div>
|
||||
|
||||
<div class="my-3 flex w-full items-center justify-between pr-2">
|
||||
<div class=" self-center text-xs font-medium">{$i18n.t('Enable Message Rating')}</div>
|
||||
|
||||
<Switch bind:state={adminConfig.ENABLE_MESSAGE_RATING} />
|
||||
</div>
|
||||
|
||||
<hr class=" dark:border-gray-850 my-2" />
|
||||
|
||||
<div class=" w-full justify-between">
|
||||
|
||||
@@ -2,152 +2,180 @@
|
||||
import { toast } from 'svelte-sonner';
|
||||
|
||||
import { createEventDispatcher, onMount, getContext } from 'svelte';
|
||||
import { config, user } from '$lib/stores';
|
||||
import { config as backendConfig, user } from '$lib/stores';
|
||||
|
||||
import { getBackendConfig } from '$lib/apis';
|
||||
import {
|
||||
getImageGenerationModels,
|
||||
getDefaultImageGenerationModel,
|
||||
updateDefaultImageGenerationModel,
|
||||
getImageSize,
|
||||
getImageGenerationConfig,
|
||||
updateImageGenerationConfig,
|
||||
getImageGenerationEngineUrls,
|
||||
updateImageGenerationEngineUrls,
|
||||
updateImageSize,
|
||||
getImageSteps,
|
||||
updateImageSteps,
|
||||
getOpenAIConfig,
|
||||
updateOpenAIConfig
|
||||
getConfig,
|
||||
updateConfig,
|
||||
verifyConfigUrl
|
||||
} from '$lib/apis/images';
|
||||
import { getBackendConfig } from '$lib/apis';
|
||||
import SensitiveInput from '$lib/components/common/SensitiveInput.svelte';
|
||||
import Switch from '$lib/components/common/Switch.svelte';
|
||||
import Tooltip from '$lib/components/common/Tooltip.svelte';
|
||||
const dispatch = createEventDispatcher();
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
let loading = false;
|
||||
|
||||
let imageGenerationEngine = '';
|
||||
let enableImageGeneration = false;
|
||||
let config = null;
|
||||
let imageGenerationConfig = null;
|
||||
|
||||
let AUTOMATIC1111_BASE_URL = '';
|
||||
let AUTOMATIC1111_API_AUTH = '';
|
||||
let COMFYUI_BASE_URL = '';
|
||||
|
||||
let OPENAI_API_BASE_URL = '';
|
||||
let OPENAI_API_KEY = '';
|
||||
|
||||
let selectedModel = '';
|
||||
let models = null;
|
||||
|
||||
let imageSize = '';
|
||||
let steps = 50;
|
||||
let requiredWorkflowNodes = [
|
||||
{
|
||||
type: 'prompt',
|
||||
key: 'text',
|
||||
node_ids: ''
|
||||
},
|
||||
{
|
||||
type: 'model',
|
||||
key: 'ckpt_name',
|
||||
node_ids: ''
|
||||
},
|
||||
{
|
||||
type: 'width',
|
||||
key: 'width',
|
||||
node_ids: ''
|
||||
},
|
||||
{
|
||||
type: 'height',
|
||||
key: 'height',
|
||||
node_ids: ''
|
||||
},
|
||||
{
|
||||
type: 'steps',
|
||||
key: 'steps',
|
||||
node_ids: ''
|
||||
},
|
||||
{
|
||||
type: 'seed',
|
||||
key: 'seed',
|
||||
node_ids: ''
|
||||
}
|
||||
];
|
||||
|
||||
const getModels = async () => {
|
||||
models = await getImageGenerationModels(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
});
|
||||
selectedModel = await getDefaultImageGenerationModel(localStorage.token).catch((error) => {
|
||||
return '';
|
||||
});
|
||||
};
|
||||
|
||||
const updateUrlHandler = async () => {
|
||||
if (imageGenerationEngine === 'comfyui') {
|
||||
const res = await updateImageGenerationEngineUrls(localStorage.token, {
|
||||
COMFYUI_BASE_URL: COMFYUI_BASE_URL
|
||||
}).catch((error) => {
|
||||
toast.error(error);
|
||||
|
||||
console.log(error);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (res) {
|
||||
COMFYUI_BASE_URL = res.COMFYUI_BASE_URL;
|
||||
|
||||
await getModels();
|
||||
|
||||
if (models) {
|
||||
toast.success($i18n.t('Server connection verified'));
|
||||
}
|
||||
} else {
|
||||
({ COMFYUI_BASE_URL } = await getImageGenerationEngineUrls(localStorage.token));
|
||||
}
|
||||
} else {
|
||||
const res = await updateImageGenerationEngineUrls(localStorage.token, {
|
||||
AUTOMATIC1111_BASE_URL: AUTOMATIC1111_BASE_URL,
|
||||
AUTOMATIC1111_API_AUTH: AUTOMATIC1111_API_AUTH
|
||||
}).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (res) {
|
||||
AUTOMATIC1111_BASE_URL = res.AUTOMATIC1111_BASE_URL;
|
||||
AUTOMATIC1111_API_AUTH = res.AUTOMATIC1111_API_AUTH;
|
||||
|
||||
await getModels();
|
||||
|
||||
if (models) {
|
||||
toast.success($i18n.t('Server connection verified'));
|
||||
}
|
||||
} else {
|
||||
({ AUTOMATIC1111_BASE_URL, AUTOMATIC1111_API_AUTH } = await getImageGenerationEngineUrls(
|
||||
localStorage.token
|
||||
));
|
||||
}
|
||||
}
|
||||
};
|
||||
const updateImageGeneration = async () => {
|
||||
const res = await updateImageGenerationConfig(
|
||||
localStorage.token,
|
||||
imageGenerationEngine,
|
||||
enableImageGeneration
|
||||
).catch((error) => {
|
||||
const updateConfigHandler = async () => {
|
||||
const res = await updateConfig(localStorage.token, config).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (res) {
|
||||
imageGenerationEngine = res.engine;
|
||||
enableImageGeneration = res.enabled;
|
||||
config = res;
|
||||
}
|
||||
|
||||
if (enableImageGeneration) {
|
||||
config.set(await getBackendConfig(localStorage.token));
|
||||
if (config.enabled) {
|
||||
backendConfig.set(await getBackendConfig());
|
||||
getModels();
|
||||
}
|
||||
};
|
||||
|
||||
const validateJSON = (json) => {
|
||||
try {
|
||||
const obj = JSON.parse(json);
|
||||
|
||||
if (obj && typeof obj === 'object') {
|
||||
return true;
|
||||
}
|
||||
} catch (e) {}
|
||||
return false;
|
||||
};
|
||||
|
||||
const saveHandler = async () => {
|
||||
loading = true;
|
||||
|
||||
if (config?.comfyui?.COMFYUI_WORKFLOW) {
|
||||
if (!validateJSON(config.comfyui.COMFYUI_WORKFLOW)) {
|
||||
toast.error('Invalid JSON format for ComfyUI Workflow.');
|
||||
loading = false;
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
if (config?.comfyui?.COMFYUI_WORKFLOW) {
|
||||
config.comfyui.COMFYUI_WORKFLOW_NODES = requiredWorkflowNodes.map((node) => {
|
||||
return {
|
||||
type: node.type,
|
||||
key: node.key,
|
||||
node_ids:
|
||||
node.node_ids.trim() === '' ? [] : node.node_ids.split(',').map((id) => id.trim())
|
||||
};
|
||||
});
|
||||
}
|
||||
|
||||
await updateConfig(localStorage.token, config).catch((error) => {
|
||||
toast.error(error);
|
||||
loading = false;
|
||||
return null;
|
||||
});
|
||||
|
||||
await updateImageGenerationConfig(localStorage.token, imageGenerationConfig).catch((error) => {
|
||||
toast.error(error);
|
||||
loading = false;
|
||||
return null;
|
||||
});
|
||||
|
||||
getModels();
|
||||
dispatch('save');
|
||||
loading = false;
|
||||
};
|
||||
|
||||
onMount(async () => {
|
||||
if ($user.role === 'admin') {
|
||||
const res = await getImageGenerationConfig(localStorage.token).catch((error) => {
|
||||
const res = await getConfig(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (res) {
|
||||
imageGenerationEngine = res.engine;
|
||||
enableImageGeneration = res.enabled;
|
||||
config = res;
|
||||
}
|
||||
const URLS = await getImageGenerationEngineUrls(localStorage.token);
|
||||
|
||||
AUTOMATIC1111_BASE_URL = URLS.AUTOMATIC1111_BASE_URL;
|
||||
AUTOMATIC1111_API_AUTH = URLS.AUTOMATIC1111_API_AUTH;
|
||||
COMFYUI_BASE_URL = URLS.COMFYUI_BASE_URL;
|
||||
|
||||
const config = await getOpenAIConfig(localStorage.token);
|
||||
|
||||
OPENAI_API_KEY = config.OPENAI_API_KEY;
|
||||
OPENAI_API_BASE_URL = config.OPENAI_API_BASE_URL;
|
||||
|
||||
imageSize = await getImageSize(localStorage.token);
|
||||
steps = await getImageSteps(localStorage.token);
|
||||
|
||||
if (enableImageGeneration) {
|
||||
if (config.enabled) {
|
||||
getModels();
|
||||
}
|
||||
|
||||
if (config.comfyui.COMFYUI_WORKFLOW) {
|
||||
config.comfyui.COMFYUI_WORKFLOW = JSON.stringify(
|
||||
JSON.parse(config.comfyui.COMFYUI_WORKFLOW),
|
||||
null,
|
||||
2
|
||||
);
|
||||
}
|
||||
|
||||
requiredWorkflowNodes = requiredWorkflowNodes.map((node) => {
|
||||
const n = config.comfyui.COMFYUI_WORKFLOW_NODES.find((n) => n.type === node.type) ?? node;
|
||||
|
||||
console.log(n);
|
||||
|
||||
return {
|
||||
type: n.type,
|
||||
key: n.key,
|
||||
node_ids: typeof n.node_ids === 'string' ? n.node_ids : n.node_ids.join(',')
|
||||
};
|
||||
});
|
||||
|
||||
const imageConfigRes = await getImageGenerationConfig(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (imageConfigRes) {
|
||||
imageGenerationConfig = imageConfigRes;
|
||||
}
|
||||
}
|
||||
});
|
||||
</script>
|
||||
@@ -155,263 +183,369 @@
|
||||
<form
|
||||
class="flex flex-col h-full justify-between space-y-3 text-sm"
|
||||
on:submit|preventDefault={async () => {
|
||||
loading = true;
|
||||
|
||||
if (imageGenerationEngine === 'openai') {
|
||||
await updateOpenAIConfig(localStorage.token, OPENAI_API_BASE_URL, OPENAI_API_KEY);
|
||||
}
|
||||
|
||||
await updateDefaultImageGenerationModel(localStorage.token, selectedModel);
|
||||
|
||||
await updateImageSize(localStorage.token, imageSize).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
});
|
||||
await updateImageSteps(localStorage.token, steps).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
});
|
||||
|
||||
dispatch('save');
|
||||
loading = false;
|
||||
saveHandler();
|
||||
}}
|
||||
>
|
||||
<div class=" space-y-3 overflow-y-scroll scrollbar-hidden">
|
||||
<div>
|
||||
<div class=" mb-1 text-sm font-medium">{$i18n.t('Image Settings')}</div>
|
||||
|
||||
<div class=" py-0.5 flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">{$i18n.t('Image Generation Engine')}</div>
|
||||
<div class="flex items-center relative">
|
||||
<select
|
||||
class="w-fit pr-8 rounded px-2 p-1 text-xs bg-transparent outline-none text-right"
|
||||
bind:value={imageGenerationEngine}
|
||||
placeholder={$i18n.t('Select a mode')}
|
||||
on:change={async () => {
|
||||
await updateImageGeneration();
|
||||
}}
|
||||
>
|
||||
<option value="">{$i18n.t('Default (Automatic1111)')}</option>
|
||||
<option value="comfyui">{$i18n.t('ComfyUI')}</option>
|
||||
<option value="openai">{$i18n.t('Open AI (Dall-E)')}</option>
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class=" space-y-3 overflow-y-scroll scrollbar-hidden pr-2">
|
||||
{#if config && imageGenerationConfig}
|
||||
<div>
|
||||
<div class=" py-0.5 flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">
|
||||
{$i18n.t('Image Generation (Experimental)')}
|
||||
<div class=" mb-1 text-sm font-medium">{$i18n.t('Image Settings')}</div>
|
||||
|
||||
<div>
|
||||
<div class=" py-0.5 flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">
|
||||
{$i18n.t('Image Generation (Experimental)')}
|
||||
</div>
|
||||
|
||||
<div class="px-1">
|
||||
<Switch
|
||||
bind:state={config.enabled}
|
||||
on:change={(e) => {
|
||||
const enabled = e.detail;
|
||||
|
||||
if (enabled) {
|
||||
if (
|
||||
config.engine === 'automatic1111' &&
|
||||
config.automatic1111.AUTOMATIC1111_BASE_URL === ''
|
||||
) {
|
||||
toast.error($i18n.t('AUTOMATIC1111 Base URL is required.'));
|
||||
config.enabled = false;
|
||||
} else if (
|
||||
config.engine === 'comfyui' &&
|
||||
config.comfyui.COMFYUI_BASE_URL === ''
|
||||
) {
|
||||
toast.error($i18n.t('ComfyUI Base URL is required.'));
|
||||
config.enabled = false;
|
||||
} else if (config.engine === 'openai' && config.openai.OPENAI_API_KEY === '') {
|
||||
toast.error($i18n.t('OpenAI API Key is required.'));
|
||||
config.enabled = false;
|
||||
}
|
||||
}
|
||||
|
||||
updateConfigHandler();
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<button
|
||||
class="p-1 px-3 text-xs flex rounded transition"
|
||||
on:click={() => {
|
||||
if (imageGenerationEngine === '' && AUTOMATIC1111_BASE_URL === '') {
|
||||
toast.error($i18n.t('AUTOMATIC1111 Base URL is required.'));
|
||||
enableImageGeneration = false;
|
||||
} else if (imageGenerationEngine === 'comfyui' && COMFYUI_BASE_URL === '') {
|
||||
toast.error($i18n.t('ComfyUI Base URL is required.'));
|
||||
enableImageGeneration = false;
|
||||
} else if (imageGenerationEngine === 'openai' && OPENAI_API_KEY === '') {
|
||||
toast.error($i18n.t('OpenAI API Key is required.'));
|
||||
enableImageGeneration = false;
|
||||
} else {
|
||||
enableImageGeneration = !enableImageGeneration;
|
||||
}
|
||||
|
||||
updateImageGeneration();
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
{#if enableImageGeneration === true}
|
||||
<span class="ml-2 self-center">{$i18n.t('On')}</span>
|
||||
{:else}
|
||||
<span class="ml-2 self-center">{$i18n.t('Off')}</span>
|
||||
{/if}
|
||||
</button>
|
||||
<div class=" py-0.5 flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">{$i18n.t('Image Generation Engine')}</div>
|
||||
<div class="flex items-center relative">
|
||||
<select
|
||||
class="w-fit pr-8 rounded px-2 p-1 text-xs bg-transparent outline-none text-right"
|
||||
bind:value={config.engine}
|
||||
placeholder={$i18n.t('Select Engine')}
|
||||
on:change={async () => {
|
||||
updateConfigHandler();
|
||||
}}
|
||||
>
|
||||
<option value="openai">{$i18n.t('Default (Open AI)')}</option>
|
||||
<option value="comfyui">{$i18n.t('ComfyUI')}</option>
|
||||
<option value="automatic1111">{$i18n.t('Automatic1111')}</option>
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<hr class=" dark:border-gray-850" />
|
||||
|
||||
{#if imageGenerationEngine === ''}
|
||||
<div class=" mb-2.5 text-sm font-medium">{$i18n.t('AUTOMATIC1111 Base URL')}</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder={$i18n.t('Enter URL (e.g. http://127.0.0.1:7860/)')}
|
||||
bind:value={AUTOMATIC1111_BASE_URL}
|
||||
/>
|
||||
</div>
|
||||
<button
|
||||
class="px-2.5 bg-gray-50 hover:bg-gray-100 text-gray-800 dark:bg-gray-850 dark:hover:bg-gray-800 dark:text-gray-100 rounded-lg transition"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
updateUrlHandler();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M15.312 11.424a5.5 5.5 0 01-9.201 2.466l-.312-.311h2.433a.75.75 0 000-1.5H3.989a.75.75 0 00-.75.75v4.242a.75.75 0 001.5 0v-2.43l.31.31a7 7 0 0011.712-3.138.75.75 0 00-1.449-.39zm1.23-3.723a.75.75 0 00.219-.53V2.929a.75.75 0 00-1.5 0V5.36l-.31-.31A7 7 0 003.239 8.188a.75.75 0 101.448.389A5.5 5.5 0 0113.89 6.11l.311.31h-2.432a.75.75 0 000 1.5h4.243a.75.75 0 00.53-.219z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<div class="mt-2 text-xs text-gray-400 dark:text-gray-500">
|
||||
{$i18n.t('Include `--api` flag when running stable-diffusion-webui')}
|
||||
<a
|
||||
class=" text-gray-300 font-medium"
|
||||
href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/3734"
|
||||
target="_blank"
|
||||
>
|
||||
{$i18n.t('(e.g. `sh webui.sh --api`)')}
|
||||
</a>
|
||||
</div>
|
||||
|
||||
<div class=" mb-2.5 text-sm font-medium">{$i18n.t('AUTOMATIC1111 Api Auth String')}</div>
|
||||
<SensitiveInput
|
||||
placeholder={$i18n.t('Enter api auth string (e.g. username:password)')}
|
||||
bind:value={AUTOMATIC1111_API_AUTH}
|
||||
required={false}
|
||||
/>
|
||||
|
||||
<div class="mt-2 text-xs text-gray-400 dark:text-gray-500">
|
||||
{$i18n.t('Include `--api-auth` flag when running stable-diffusion-webui')}
|
||||
<a
|
||||
class=" text-gray-300 font-medium"
|
||||
href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/13993"
|
||||
target="_blank"
|
||||
>
|
||||
{$i18n.t('(e.g. `sh webui.sh --api --api-auth username_password`)').replace('_', ':')}
|
||||
</a>
|
||||
</div>
|
||||
{:else if imageGenerationEngine === 'comfyui'}
|
||||
<div class=" mb-2.5 text-sm font-medium">{$i18n.t('ComfyUI Base URL')}</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder={$i18n.t('Enter URL (e.g. http://127.0.0.1:7860/)')}
|
||||
bind:value={COMFYUI_BASE_URL}
|
||||
/>
|
||||
</div>
|
||||
<button
|
||||
class="px-2.5 bg-gray-50 hover:bg-gray-100 text-gray-800 dark:bg-gray-850 dark:hover:bg-gray-800 dark:text-gray-100 rounded-lg transition"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
updateUrlHandler();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M15.312 11.424a5.5 5.5 0 01-9.201 2.466l-.312-.311h2.433a.75.75 0 000-1.5H3.989a.75.75 0 00-.75.75v4.242a.75.75 0 001.5 0v-2.43l.31.31a7 7 0 0011.712-3.138.75.75 0 00-1.449-.39zm1.23-3.723a.75.75 0 00.219-.53V2.929a.75.75 0 00-1.5 0V5.36l-.31-.31A7 7 0 003.239 8.188a.75.75 0 101.448.389A5.5 5.5 0 0113.89 6.11l.311.31h-2.432a.75.75 0 000 1.5h4.243a.75.75 0 00.53-.219z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
{:else if imageGenerationEngine === 'openai'}
|
||||
<div>
|
||||
<div class=" mb-1.5 text-sm font-medium">{$i18n.t('OpenAI API Config')}</div>
|
||||
|
||||
<div class="flex gap-2 mb-1">
|
||||
<input
|
||||
class="flex-1 w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder={$i18n.t('API Base URL')}
|
||||
bind:value={OPENAI_API_BASE_URL}
|
||||
required
|
||||
/>
|
||||
|
||||
<SensitiveInput placeholder={$i18n.t('API Key')} bind:value={OPENAI_API_KEY} />
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
{#if enableImageGeneration}
|
||||
<hr class=" dark:border-gray-850" />
|
||||
|
||||
<div>
|
||||
<div class=" mb-2.5 text-sm font-medium">{$i18n.t('Set Default Model')}</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
{#if imageGenerationEngine === 'openai' && !OPENAI_API_BASE_URL.includes('https://api.openai.com')}
|
||||
<div class="flex flex-col gap-2">
|
||||
{#if (config?.engine ?? 'automatic1111') === 'automatic1111'}
|
||||
<div>
|
||||
<div class=" mb-2 text-sm font-medium">{$i18n.t('AUTOMATIC1111 Base URL')}</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder={$i18n.t('Enter URL (e.g. http://127.0.0.1:7860/)')}
|
||||
bind:value={config.automatic1111.AUTOMATIC1111_BASE_URL}
|
||||
/>
|
||||
</div>
|
||||
<button
|
||||
class="px-2.5 bg-gray-50 hover:bg-gray-100 text-gray-800 dark:bg-gray-850 dark:hover:bg-gray-800 dark:text-gray-100 rounded-lg transition"
|
||||
type="button"
|
||||
on:click={async () => {
|
||||
await updateConfigHandler();
|
||||
const res = await verifyConfigUrl(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (res) {
|
||||
toast.success($i18n.t('Server connection verified'));
|
||||
}
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M15.312 11.424a5.5 5.5 0 01-9.201 2.466l-.312-.311h2.433a.75.75 0 000-1.5H3.989a.75.75 0 00-.75.75v4.242a.75.75 0 001.5 0v-2.43l.31.31a7 7 0 0011.712-3.138.75.75 0 00-1.449-.39zm1.23-3.723a.75.75 0 00.219-.53V2.929a.75.75 0 00-1.5 0V5.36l-.31-.31A7 7 0 003.239 8.188a.75.75 0 101.448.389A5.5 5.5 0 0113.89 6.11l.311.31h-2.432a.75.75 0 000 1.5h4.243a.75.75 0 00.53-.219z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<div class="mt-2 text-xs text-gray-400 dark:text-gray-500">
|
||||
{$i18n.t('Include `--api` flag when running stable-diffusion-webui')}
|
||||
<a
|
||||
class=" text-gray-300 font-medium"
|
||||
href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/3734"
|
||||
target="_blank"
|
||||
>
|
||||
{$i18n.t('(e.g. `sh webui.sh --api`)')}
|
||||
</a>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<div class=" mb-2 text-sm font-medium">
|
||||
{$i18n.t('AUTOMATIC1111 Api Auth String')}
|
||||
</div>
|
||||
<SensitiveInput
|
||||
placeholder={$i18n.t('Enter api auth string (e.g. username:password)')}
|
||||
bind:value={config.automatic1111.AUTOMATIC1111_API_AUTH}
|
||||
required={false}
|
||||
/>
|
||||
|
||||
<div class="mt-2 text-xs text-gray-400 dark:text-gray-500">
|
||||
{$i18n.t('Include `--api-auth` flag when running stable-diffusion-webui')}
|
||||
<a
|
||||
class=" text-gray-300 font-medium"
|
||||
href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/13993"
|
||||
target="_blank"
|
||||
>
|
||||
{$i18n
|
||||
.t('(e.g. `sh webui.sh --api --api-auth username_password`)')
|
||||
.replace('_', ':')}
|
||||
</a>
|
||||
</div>
|
||||
</div>
|
||||
{:else if config?.engine === 'comfyui'}
|
||||
<div class="">
|
||||
<div class=" mb-2 text-sm font-medium">{$i18n.t('ComfyUI Base URL')}</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder={$i18n.t('Enter URL (e.g. http://127.0.0.1:7860/)')}
|
||||
bind:value={config.comfyui.COMFYUI_BASE_URL}
|
||||
/>
|
||||
</div>
|
||||
<button
|
||||
class="px-2.5 bg-gray-50 hover:bg-gray-100 text-gray-800 dark:bg-gray-850 dark:hover:bg-gray-800 dark:text-gray-100 rounded-lg transition"
|
||||
type="button"
|
||||
on:click={async () => {
|
||||
await updateConfigHandler();
|
||||
const res = await verifyConfigUrl(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (res) {
|
||||
toast.success($i18n.t('Server connection verified'));
|
||||
}
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M15.312 11.424a5.5 5.5 0 01-9.201 2.466l-.312-.311h2.433a.75.75 0 000-1.5H3.989a.75.75 0 00-.75.75v4.242a.75.75 0 001.5 0v-2.43l.31.31a7 7 0 0011.712-3.138.75.75 0 00-1.449-.39zm1.23-3.723a.75.75 0 00.219-.53V2.929a.75.75 0 00-1.5 0V5.36l-.31-.31A7 7 0 003.239 8.188a.75.75 0 101.448.389A5.5 5.5 0 0113.89 6.11l.311.31h-2.432a.75.75 0 000 1.5h4.243a.75.75 0 00.53-.219z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="">
|
||||
<div class=" mb-2 text-sm font-medium">{$i18n.t('ComfyUI Workflow')}</div>
|
||||
|
||||
{#if config.comfyui.COMFYUI_WORKFLOW}
|
||||
<textarea
|
||||
class="w-full rounded-lg mb-1 py-2 px-4 text-xs bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none disabled:text-gray-600 resize-none"
|
||||
rows="10"
|
||||
bind:value={config.comfyui.COMFYUI_WORKFLOW}
|
||||
required
|
||||
/>
|
||||
{/if}
|
||||
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1">
|
||||
<input
|
||||
id="upload-comfyui-workflow-input"
|
||||
hidden
|
||||
type="file"
|
||||
accept=".json"
|
||||
on:change={(e) => {
|
||||
const file = e.target.files[0];
|
||||
const reader = new FileReader();
|
||||
|
||||
reader.onload = (e) => {
|
||||
config.comfyui.COMFYUI_WORKFLOW = e.target.result;
|
||||
e.target.value = null;
|
||||
};
|
||||
|
||||
reader.readAsText(file);
|
||||
}}
|
||||
/>
|
||||
|
||||
<button
|
||||
class="w-full text-sm font-medium py-2 bg-transparent hover:bg-gray-100 border border-dashed dark:border-gray-800 dark:hover:bg-gray-850 text-center rounded-xl"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
document.getElementById('upload-comfyui-workflow-input')?.click();
|
||||
}}
|
||||
>
|
||||
{$i18n.t('Click here to upload a workflow.json file.')}
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="mt-2 text-xs text-gray-400 dark:text-gray-500">
|
||||
{$i18n.t('Make sure to export a workflow.json file as API format from ComfyUI.')}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{#if config.comfyui.COMFYUI_WORKFLOW}
|
||||
<div class="">
|
||||
<div class=" mb-2 text-sm font-medium">{$i18n.t('ComfyUI Workflow Nodes')}</div>
|
||||
|
||||
<div class="text-xs flex flex-col gap-1.5">
|
||||
{#each requiredWorkflowNodes as node}
|
||||
<div class="flex w-full items-center border dark:border-gray-850 rounded-lg">
|
||||
<div class="flex-shrink-0">
|
||||
<div
|
||||
class=" capitalize line-clamp-1 font-medium px-3 py-1 w-20 text-center rounded-l-lg bg-green-500/10 text-green-700 dark:text-green-200"
|
||||
>
|
||||
{node.type}{node.type === 'prompt' ? '*' : ''}
|
||||
</div>
|
||||
</div>
|
||||
<div class="">
|
||||
<Tooltip content="Input Key (e.g. text, unet_name, steps)">
|
||||
<input
|
||||
class="py-1 px-3 w-24 text-xs text-center bg-transparent outline-none border-r dark:border-gray-850"
|
||||
placeholder="Key"
|
||||
bind:value={node.key}
|
||||
required
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
|
||||
<div class="w-full">
|
||||
<Tooltip
|
||||
content="Comma separated Node Ids (e.g. 1 or 1,2)"
|
||||
placement="top-start"
|
||||
>
|
||||
<input
|
||||
class="w-full py-1 px-4 rounded-r-lg text-xs bg-transparent outline-none"
|
||||
placeholder="Node Ids"
|
||||
bind:value={node.node_ids}
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
</div>
|
||||
{/each}
|
||||
</div>
|
||||
|
||||
<div class="mt-2 text-xs text-right text-gray-400 dark:text-gray-500">
|
||||
{$i18n.t('*Prompt node ID(s) are required for image generation')}
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
{:else if config?.engine === 'openai'}
|
||||
<div>
|
||||
<div class=" mb-1.5 text-sm font-medium">{$i18n.t('OpenAI API Config')}</div>
|
||||
|
||||
<div class="flex gap-2 mb-1">
|
||||
<input
|
||||
class="flex-1 w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder={$i18n.t('API Base URL')}
|
||||
bind:value={config.openai.OPENAI_API_BASE_URL}
|
||||
required
|
||||
/>
|
||||
|
||||
<SensitiveInput
|
||||
placeholder={$i18n.t('API Key')}
|
||||
bind:value={config.openai.OPENAI_API_KEY}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
</div>
|
||||
|
||||
{#if config?.enabled}
|
||||
<hr class=" dark:border-gray-850" />
|
||||
|
||||
<div>
|
||||
<div class=" mb-2.5 text-sm font-medium">{$i18n.t('Set Default Model')}</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1">
|
||||
<input
|
||||
list="model-list"
|
||||
class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
bind:value={selectedModel}
|
||||
placeholder="Select a model"
|
||||
/>
|
||||
<Tooltip content={$i18n.t('Enter Model ID')} placement="top-start">
|
||||
<input
|
||||
list="model-list"
|
||||
class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
bind:value={imageGenerationConfig.MODEL}
|
||||
placeholder="Select a model"
|
||||
required
|
||||
/>
|
||||
|
||||
<datalist id="model-list">
|
||||
{#each models ?? [] as model}
|
||||
<option value={model.id}>{model.name}</option>
|
||||
{/each}
|
||||
</datalist>
|
||||
<datalist id="model-list">
|
||||
{#each models ?? [] as model}
|
||||
<option value={model.id}>{model.name}</option>
|
||||
{/each}
|
||||
</datalist>
|
||||
</Tooltip>
|
||||
</div>
|
||||
</div>
|
||||
{:else}
|
||||
<select
|
||||
class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
bind:value={selectedModel}
|
||||
placeholder={$i18n.t('Select a model')}
|
||||
required
|
||||
>
|
||||
{#if !selectedModel}
|
||||
<option value="" disabled selected>{$i18n.t('Select a model')}</option>
|
||||
{/if}
|
||||
{#each models ?? [] as model}
|
||||
<option value={model.id} class="bg-gray-100 dark:bg-gray-700">{model.name}</option
|
||||
>
|
||||
{/each}
|
||||
</select>
|
||||
{/if}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<div class=" mb-2.5 text-sm font-medium">{$i18n.t('Set Image Size')}</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder={$i18n.t('Enter Image Size (e.g. 512x512)')}
|
||||
bind:value={imageSize}
|
||||
/>
|
||||
<div>
|
||||
<div class=" mb-2.5 text-sm font-medium">{$i18n.t('Set Image Size')}</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<Tooltip content={$i18n.t('Enter Image Size (e.g. 512x512)')} placement="top-start">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder={$i18n.t('Enter Image Size (e.g. 512x512)')}
|
||||
bind:value={imageGenerationConfig.IMAGE_SIZE}
|
||||
required
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<div class=" mb-2.5 text-sm font-medium">{$i18n.t('Set Steps')}</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder={$i18n.t('Enter Number of Steps (e.g. 50)')}
|
||||
bind:value={steps}
|
||||
/>
|
||||
<div>
|
||||
<div class=" mb-2.5 text-sm font-medium">{$i18n.t('Set Steps')}</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<Tooltip content={$i18n.t('Enter Number of Steps (e.g. 50)')} placement="top-start">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder={$i18n.t('Enter Number of Steps (e.g. 50)')}
|
||||
bind:value={imageGenerationConfig.IMAGE_STEPS}
|
||||
required
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
{/if}
|
||||
</div>
|
||||
|
||||
|
||||
@@ -37,7 +37,7 @@
|
||||
let ollamaEnabled = null;
|
||||
|
||||
let OLLAMA_URLS = [];
|
||||
let selectedOllamaUrlIdx: string | null = null;
|
||||
let selectedOllamaUrlIdx: number | null = null;
|
||||
|
||||
let updateModelId = null;
|
||||
let updateProgress = null;
|
||||
|
||||
@@ -18,7 +18,9 @@
|
||||
let whitelistModels = [''];
|
||||
let permissions = {
|
||||
chat: {
|
||||
deletion: true
|
||||
deletion: true,
|
||||
edit: true,
|
||||
temporary: true
|
||||
}
|
||||
};
|
||||
|
||||
@@ -92,6 +94,88 @@
|
||||
{/if}
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<div class=" flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">{$i18n.t('Allow Chat Editing')}</div>
|
||||
|
||||
<button
|
||||
class="p-1 px-3 text-xs flex rounded transition"
|
||||
on:click={() => {
|
||||
permissions.chat.editing = !(permissions?.chat?.editing ?? true);
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
{#if permissions?.chat?.editing ?? true}
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
d="M11.5 1A3.5 3.5 0 0 0 8 4.5V7H2.5A1.5 1.5 0 0 0 1 8.5v5A1.5 1.5 0 0 0 2.5 15h7a1.5 1.5 0 0 0 1.5-1.5v-5A1.5 1.5 0 0 0 9.5 7V4.5a2 2 0 1 1 4 0v1.75a.75.75 0 0 0 1.5 0V4.5A3.5 3.5 0 0 0 11.5 1Z"
|
||||
/>
|
||||
</svg>
|
||||
<span class="ml-2 self-center">{$i18n.t('Allow')}</span>
|
||||
{:else}
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M8 1a3.5 3.5 0 0 0-3.5 3.5V7A1.5 1.5 0 0 0 3 8.5v5A1.5 1.5 0 0 0 4.5 15h7a1.5 1.5 0 0 0 1.5-1.5v-5A1.5 1.5 0 0 0 11.5 7V4.5A3.5 3.5 0 0 0 8 1Zm2 6V4.5a2 2 0 1 0-4 0V7h4Z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
|
||||
<span class="ml-2 self-center">{$i18n.t("Don't Allow")}</span>
|
||||
{/if}
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<div class=" flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">{$i18n.t('Allow Temporary Chat')}</div>
|
||||
|
||||
<button
|
||||
class="p-1 px-3 text-xs flex rounded transition"
|
||||
on:click={() => {
|
||||
permissions.chat.temporary = !(permissions?.chat?.temporary ?? true);
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
{#if permissions?.chat?.temporary ?? true}
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
d="M11.5 1A3.5 3.5 0 0 0 8 4.5V7H2.5A1.5 1.5 0 0 0 1 8.5v5A1.5 1.5 0 0 0 2.5 15h7a1.5 1.5 0 0 0 1.5-1.5v-5A1.5 1.5 0 0 0 9.5 7V4.5a2 2 0 1 1 4 0v1.75a.75.75 0 0 0 1.5 0V4.5A3.5 3.5 0 0 0 11.5 1Z"
|
||||
/>
|
||||
</svg>
|
||||
<span class="ml-2 self-center">{$i18n.t('Allow')}</span>
|
||||
{:else}
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M8 1a3.5 3.5 0 0 0-3.5 3.5V7A1.5 1.5 0 0 0 3 8.5v5A1.5 1.5 0 0 0 4.5 15h7a1.5 1.5 0 0 0 1.5-1.5v-5A1.5 1.5 0 0 0 11.5 7V4.5A3.5 3.5 0 0 0 8 1Zm2 6V4.5a2 2 0 1 0-4 0V7h4Z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
|
||||
<span class="ml-2 self-center">{$i18n.t("Don't Allow")}</span>
|
||||
{/if}
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<hr class=" dark:border-gray-850 my-2" />
|
||||
|
||||
+312
-130
@@ -3,13 +3,13 @@
|
||||
import { toast } from 'svelte-sonner';
|
||||
import mermaid from 'mermaid';
|
||||
|
||||
import { getContext, onMount, tick } from 'svelte';
|
||||
import { getContext, onDestroy, onMount, tick } from 'svelte';
|
||||
import { goto } from '$app/navigation';
|
||||
import { page } from '$app/stores';
|
||||
|
||||
import type { Writable } from 'svelte/store';
|
||||
import type { Unsubscriber, Writable } from 'svelte/store';
|
||||
import type { i18n as i18nType } from 'i18next';
|
||||
import { OLLAMA_API_BASE_URL, OPENAI_API_BASE_URL, WEBUI_BASE_URL } from '$lib/constants';
|
||||
import { WEBUI_BASE_URL } from '$lib/constants';
|
||||
|
||||
import {
|
||||
chatId,
|
||||
@@ -19,30 +19,26 @@
|
||||
models,
|
||||
settings,
|
||||
showSidebar,
|
||||
tags as _tags,
|
||||
WEBUI_NAME,
|
||||
banners,
|
||||
user,
|
||||
socket,
|
||||
showCallOverlay,
|
||||
tools,
|
||||
currentChatPage
|
||||
currentChatPage,
|
||||
temporaryChatEnabled
|
||||
} from '$lib/stores';
|
||||
import {
|
||||
convertMessagesToHistory,
|
||||
copyToClipboard,
|
||||
getMessageContentParts,
|
||||
extractSentencesForAudio,
|
||||
getUserPosition,
|
||||
promptTemplate,
|
||||
splitStream
|
||||
} from '$lib/utils';
|
||||
|
||||
import { generateChatCompletion } from '$lib/apis/ollama';
|
||||
import {
|
||||
addTagById,
|
||||
createNewChat,
|
||||
deleteTagById,
|
||||
getAllChatTags,
|
||||
getChatById,
|
||||
getChatList,
|
||||
getTagsById,
|
||||
@@ -53,14 +49,18 @@
|
||||
import { createOpenAITextStream } from '$lib/apis/streaming';
|
||||
import { queryMemory } from '$lib/apis/memories';
|
||||
import { getAndUpdateUserLocation, getUserSettings } from '$lib/apis/users';
|
||||
import { chatCompleted, generateTitle, generateSearchQuery, chatAction } from '$lib/apis';
|
||||
import {
|
||||
chatCompleted,
|
||||
generateTitle,
|
||||
generateSearchQuery,
|
||||
chatAction,
|
||||
generateMoACompletion
|
||||
} from '$lib/apis';
|
||||
|
||||
import Banner from '../common/Banner.svelte';
|
||||
import MessageInput from '$lib/components/chat/MessageInput.svelte';
|
||||
import Messages from '$lib/components/chat/Messages.svelte';
|
||||
import Navbar from '$lib/components/layout/Navbar.svelte';
|
||||
import CallOverlay from './MessageInput/CallOverlay.svelte';
|
||||
import { error } from '@sveltejs/kit';
|
||||
import ChatControls from './ChatControls.svelte';
|
||||
import EventConfirmDialog from '../common/ConfirmDialog.svelte';
|
||||
|
||||
@@ -111,6 +111,8 @@
|
||||
|
||||
let params = {};
|
||||
|
||||
let chatIdUnsubscriber: Unsubscriber | undefined;
|
||||
|
||||
$: if (history.currentId !== null) {
|
||||
let _messages = [];
|
||||
|
||||
@@ -166,6 +168,14 @@
|
||||
message.content += data.content;
|
||||
} else if (type === 'replace') {
|
||||
message.content = data.content;
|
||||
} else if (type === 'action') {
|
||||
if (data.action === 'continue') {
|
||||
const continueButton = document.getElementById('continue-response-button');
|
||||
|
||||
if (continueButton) {
|
||||
continueButton.click();
|
||||
}
|
||||
}
|
||||
} else if (type === 'confirmation') {
|
||||
eventCallback = cb;
|
||||
|
||||
@@ -192,62 +202,66 @@
|
||||
}
|
||||
};
|
||||
|
||||
onMount(async () => {
|
||||
const onMessageHandler = async (event) => {
|
||||
if (event.origin === window.origin) {
|
||||
// Replace with your iframe's origin
|
||||
console.log('Message received from iframe:', event.data);
|
||||
if (event.data.type === 'input:prompt') {
|
||||
console.log(event.data.text);
|
||||
const onMessageHandler = async (event: {
|
||||
origin: string;
|
||||
data: { type: string; text: string };
|
||||
}) => {
|
||||
if (event.origin !== window.origin) {
|
||||
return;
|
||||
}
|
||||
|
||||
const inputElement = document.getElementById('chat-textarea');
|
||||
// Replace with your iframe's origin
|
||||
if (event.data.type === 'input:prompt') {
|
||||
console.debug(event.data.text);
|
||||
|
||||
if (inputElement) {
|
||||
prompt = event.data.text;
|
||||
inputElement.focus();
|
||||
}
|
||||
}
|
||||
const inputElement = document.getElementById('chat-textarea');
|
||||
|
||||
if (event.data.type === 'action:submit') {
|
||||
console.log(event.data.text);
|
||||
|
||||
if (prompt !== '') {
|
||||
await tick();
|
||||
submitPrompt(prompt);
|
||||
}
|
||||
}
|
||||
|
||||
if (event.data.type === 'input:prompt:submit') {
|
||||
console.log(event.data.text);
|
||||
|
||||
if (prompt !== '') {
|
||||
await tick();
|
||||
submitPrompt(event.data.text);
|
||||
}
|
||||
}
|
||||
if (inputElement) {
|
||||
prompt = event.data.text;
|
||||
inputElement.focus();
|
||||
}
|
||||
};
|
||||
window.addEventListener('message', onMessageHandler);
|
||||
}
|
||||
|
||||
$socket.on('chat-events', chatEventHandler);
|
||||
if (event.data.type === 'action:submit') {
|
||||
console.debug(event.data.text);
|
||||
|
||||
if (prompt !== '') {
|
||||
await tick();
|
||||
submitPrompt(prompt);
|
||||
}
|
||||
}
|
||||
|
||||
if (event.data.type === 'input:prompt:submit') {
|
||||
console.debug(event.data.text);
|
||||
|
||||
if (prompt !== '') {
|
||||
await tick();
|
||||
submitPrompt(event.data.text);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
onMount(async () => {
|
||||
window.addEventListener('message', onMessageHandler);
|
||||
$socket?.on('chat-events', chatEventHandler);
|
||||
|
||||
if (!$chatId) {
|
||||
chatId.subscribe(async (value) => {
|
||||
chatIdUnsubscriber = chatId.subscribe(async (value) => {
|
||||
if (!value) {
|
||||
await initNewChat();
|
||||
}
|
||||
});
|
||||
} else {
|
||||
if (!($settings.saveChatHistory ?? true)) {
|
||||
if ($temporaryChatEnabled) {
|
||||
await goto('/');
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
return () => {
|
||||
window.removeEventListener('message', onMessageHandler);
|
||||
|
||||
$socket.off('chat-events');
|
||||
};
|
||||
onDestroy(() => {
|
||||
chatIdUnsubscriber?.();
|
||||
window.removeEventListener('message', onMessageHandler);
|
||||
$socket?.off('chat-events');
|
||||
});
|
||||
|
||||
//////////////////////////
|
||||
@@ -255,9 +269,11 @@
|
||||
//////////////////////////
|
||||
|
||||
const initNewChat = async () => {
|
||||
window.history.replaceState(history.state, '', `/`);
|
||||
await chatId.set('');
|
||||
if ($page.url.pathname.includes('/c/')) {
|
||||
window.history.replaceState(history.state, '', `/`);
|
||||
}
|
||||
|
||||
await chatId.set('');
|
||||
autoScroll = true;
|
||||
|
||||
title = '';
|
||||
@@ -294,6 +310,10 @@
|
||||
}
|
||||
}
|
||||
|
||||
if ($page.url.searchParams.get('call') === 'true') {
|
||||
showCallOverlay.set(true);
|
||||
}
|
||||
|
||||
selectedModels = selectedModels.map((modelId) =>
|
||||
$models.map((m) => m.id).includes(modelId) ? modelId : ''
|
||||
);
|
||||
@@ -414,7 +434,7 @@
|
||||
}
|
||||
|
||||
if ($chatId == chatId) {
|
||||
if ($settings.saveChatHistory ?? true) {
|
||||
if (!$temporaryChatEnabled) {
|
||||
chat = await updateChatById(localStorage.token, chatId, {
|
||||
models: selectedModels,
|
||||
messages: messages,
|
||||
@@ -429,7 +449,7 @@
|
||||
}
|
||||
};
|
||||
|
||||
const chatActionHandler = async (chatId, actionId, modelId, responseMessageId) => {
|
||||
const chatActionHandler = async (chatId, actionId, modelId, responseMessageId, event = null) => {
|
||||
const res = await chatAction(localStorage.token, actionId, {
|
||||
model: modelId,
|
||||
messages: messages.map((m) => ({
|
||||
@@ -439,6 +459,7 @@
|
||||
info: m.info ? m.info : undefined,
|
||||
timestamp: m.timestamp
|
||||
})),
|
||||
...(event ? { event: event } : {}),
|
||||
chat_id: chatId,
|
||||
session_id: $socket?.id,
|
||||
id: responseMessageId
|
||||
@@ -462,7 +483,7 @@
|
||||
}
|
||||
|
||||
if ($chatId == chatId) {
|
||||
if ($settings.saveChatHistory ?? true) {
|
||||
if (!$temporaryChatEnabled) {
|
||||
chat = await updateChatById(localStorage.token, chatId, {
|
||||
models: selectedModels,
|
||||
messages: messages,
|
||||
@@ -521,6 +542,16 @@
|
||||
`Oops! Hold tight! Your files are still in the processing oven. We're cooking them up to perfection. Please be patient and we'll let you know once they're ready.`
|
||||
)
|
||||
);
|
||||
} else if (
|
||||
($config?.file?.max_count ?? null) !== null &&
|
||||
files.length + chatFiles.length > $config?.file?.max_count
|
||||
) {
|
||||
console.log(chatFiles.length, files.length);
|
||||
toast.error(
|
||||
$i18n.t(`You can only chat with a maximum of {{maxCount}} file(s) at a time.`, {
|
||||
maxCount: $config?.file?.max_count
|
||||
})
|
||||
);
|
||||
} else {
|
||||
// Reset chat input textarea
|
||||
const chatTextAreaElement = document.getElementById('chat-textarea');
|
||||
@@ -552,7 +583,7 @@
|
||||
content: userPrompt,
|
||||
files: _files.length > 0 ? _files : undefined,
|
||||
timestamp: Math.floor(Date.now() / 1000), // Unix epoch
|
||||
models: selectedModels.filter((m, mIdx) => selectedModels.indexOf(m) === mIdx)
|
||||
models: selectedModels
|
||||
};
|
||||
|
||||
// Add message to history and Set currentId to messageId
|
||||
@@ -572,19 +603,23 @@
|
||||
return _responses;
|
||||
};
|
||||
|
||||
const sendPrompt = async (prompt, parentId, { modelId = null, newChat = false } = {}) => {
|
||||
let _responses = [];
|
||||
const sendPrompt = async (
|
||||
prompt: string,
|
||||
parentId: string,
|
||||
{ modelId = null, modelIdx = null, newChat = false } = {}
|
||||
) => {
|
||||
let _responses: string[] = [];
|
||||
|
||||
// If modelId is provided, use it, else use selected model
|
||||
let selectedModelIds = modelId
|
||||
? [modelId]
|
||||
: atSelectedModel !== undefined
|
||||
? [atSelectedModel.id]
|
||||
: selectedModels;
|
||||
? [atSelectedModel.id]
|
||||
: selectedModels;
|
||||
|
||||
// Create response messages for each selected model
|
||||
const responseMessageIds = {};
|
||||
for (const modelId of selectedModelIds) {
|
||||
const responseMessageIds: Record<PropertyKey, string> = {};
|
||||
for (const [_modelIdx, modelId] of selectedModelIds.entries()) {
|
||||
const model = $models.filter((m) => m.id === modelId).at(0);
|
||||
|
||||
if (model) {
|
||||
@@ -597,6 +632,7 @@
|
||||
content: '',
|
||||
model: model.id,
|
||||
modelName: model.name ?? model.id,
|
||||
modelIdx: modelIdx ? modelIdx : _modelIdx,
|
||||
userContext: null,
|
||||
timestamp: Math.floor(Date.now() / 1000) // Unix epoch
|
||||
};
|
||||
@@ -613,14 +649,14 @@
|
||||
];
|
||||
}
|
||||
|
||||
responseMessageIds[modelId] = responseMessageId;
|
||||
responseMessageIds[`${modelId}-${modelIdx ? modelIdx : _modelIdx}`] = responseMessageId;
|
||||
}
|
||||
}
|
||||
await tick();
|
||||
|
||||
// Create new chat if only one message in messages
|
||||
if (newChat && messages.length == 2) {
|
||||
if ($settings.saveChatHistory ?? true) {
|
||||
if (!$temporaryChatEnabled) {
|
||||
chat = await createNewChat(localStorage.token, {
|
||||
id: $chatId,
|
||||
title: $i18n.t('New Chat'),
|
||||
@@ -645,7 +681,7 @@
|
||||
const _chatId = JSON.parse(JSON.stringify($chatId));
|
||||
|
||||
await Promise.all(
|
||||
selectedModelIds.map(async (modelId) => {
|
||||
selectedModelIds.map(async (modelId, _modelIdx) => {
|
||||
console.log('modelId', modelId);
|
||||
const model = $models.filter((m) => m.id === modelId).at(0);
|
||||
|
||||
@@ -663,7 +699,8 @@
|
||||
);
|
||||
}
|
||||
|
||||
let responseMessageId = responseMessageIds[modelId];
|
||||
let responseMessageId =
|
||||
responseMessageIds[`${modelId}-${modelIdx ? modelIdx : _modelIdx}`];
|
||||
let responseMessage = history.messages[responseMessageId];
|
||||
|
||||
let userContext = null;
|
||||
@@ -711,13 +748,13 @@
|
||||
);
|
||||
|
||||
currentChatPage.set(1);
|
||||
await chats.set(await getChatList(localStorage.token, $currentChatPage));
|
||||
chats.set(await getChatList(localStorage.token, $currentChatPage));
|
||||
|
||||
return _responses;
|
||||
};
|
||||
|
||||
const sendPromptOllama = async (model, userPrompt, responseMessageId, _chatId) => {
|
||||
let _response = null;
|
||||
let _response: string | null = null;
|
||||
|
||||
const responseMessage = history.messages[responseMessageId];
|
||||
const userMessage = history.messages[responseMessage.parentId];
|
||||
@@ -739,16 +776,16 @@
|
||||
? await getAndUpdateUserLocation(localStorage.token)
|
||||
: undefined
|
||||
)}${
|
||||
responseMessage?.userContext ?? null
|
||||
(responseMessage?.userContext ?? null)
|
||||
? `\n\nUser Context:\n${responseMessage?.userContext ?? ''}`
|
||||
: ''
|
||||
}`
|
||||
}
|
||||
}
|
||||
: undefined,
|
||||
...messages
|
||||
]
|
||||
.filter((message) => message?.content?.trim())
|
||||
.map((message, idx, arr) => {
|
||||
.map((message) => {
|
||||
// Prepare the base message object
|
||||
const baseMessage = {
|
||||
role: message.role,
|
||||
@@ -785,7 +822,18 @@
|
||||
|
||||
let files = JSON.parse(JSON.stringify(chatFiles));
|
||||
if (model?.info?.meta?.knowledge ?? false) {
|
||||
// Only initialize and add status if knowledge exists
|
||||
responseMessage.statusHistory = [
|
||||
{
|
||||
action: 'knowledge_search',
|
||||
description: $i18n.t(`Searching Knowledge for "{{searchQuery}}"`, {
|
||||
searchQuery: userMessage.content
|
||||
}),
|
||||
done: false
|
||||
}
|
||||
];
|
||||
files.push(...model.info.meta.knowledge);
|
||||
messages = messages; // Trigger Svelte update
|
||||
}
|
||||
files.push(
|
||||
...(userMessage?.files ?? []).filter((item) =>
|
||||
@@ -794,6 +842,8 @@
|
||||
...(responseMessage?.files ?? []).filter((item) => ['web_search_results'].includes(item.type))
|
||||
);
|
||||
|
||||
scrollToBottom();
|
||||
|
||||
eventTarget.dispatchEvent(
|
||||
new CustomEvent('chat:start', {
|
||||
detail: {
|
||||
@@ -811,10 +861,10 @@
|
||||
options: {
|
||||
...(params ?? $settings.params ?? {}),
|
||||
stop:
|
||||
params?.stop ?? $settings?.params?.stop ?? undefined
|
||||
(params?.stop ?? $settings?.params?.stop ?? undefined)
|
||||
? (params?.stop.split(',').map((token) => token.trim()) ?? $settings.params.stop).map(
|
||||
(str) => decodeURIComponent(JSON.parse('"' + str.replace(/\"/g, '\\"') + '"'))
|
||||
)
|
||||
)
|
||||
: undefined,
|
||||
num_predict: params?.max_tokens ?? $settings?.params?.max_tokens ?? undefined,
|
||||
repeat_penalty:
|
||||
@@ -864,6 +914,12 @@
|
||||
|
||||
if ('citations' in data) {
|
||||
responseMessage.citations = data.citations;
|
||||
// Only remove status if it was initially set
|
||||
if (model?.info?.meta?.knowledge ?? false) {
|
||||
responseMessage.statusHistory = responseMessage.statusHistory.filter(
|
||||
(status) => status.action !== 'knowledge_search'
|
||||
);
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
@@ -877,18 +933,30 @@
|
||||
} else {
|
||||
responseMessage.content += data.message.content;
|
||||
|
||||
const sentences = extractSentencesForAudio(responseMessage.content);
|
||||
sentences.pop();
|
||||
if (navigator.vibrate && ($settings?.hapticFeedback ?? false)) {
|
||||
navigator.vibrate(5);
|
||||
}
|
||||
|
||||
const messageContentParts = getMessageContentParts(
|
||||
responseMessage.content,
|
||||
$config?.audio?.tts?.split_on ?? 'punctuation'
|
||||
);
|
||||
messageContentParts.pop();
|
||||
|
||||
// dispatch only last sentence and make sure it hasn't been dispatched before
|
||||
if (
|
||||
sentences.length > 0 &&
|
||||
sentences[sentences.length - 1] !== responseMessage.lastSentence
|
||||
messageContentParts.length > 0 &&
|
||||
messageContentParts[messageContentParts.length - 1] !==
|
||||
responseMessage.lastSentence
|
||||
) {
|
||||
responseMessage.lastSentence = sentences[sentences.length - 1];
|
||||
responseMessage.lastSentence =
|
||||
messageContentParts[messageContentParts.length - 1];
|
||||
eventTarget.dispatchEvent(
|
||||
new CustomEvent('chat', {
|
||||
detail: { id: responseMessageId, content: sentences[sentences.length - 1] }
|
||||
detail: {
|
||||
id: responseMessageId,
|
||||
content: messageContentParts[messageContentParts.length - 1]
|
||||
}
|
||||
})
|
||||
);
|
||||
}
|
||||
@@ -985,20 +1053,32 @@
|
||||
};
|
||||
}
|
||||
responseMessage.done = true;
|
||||
|
||||
if (responseMessage.statusHistory) {
|
||||
responseMessage.statusHistory = responseMessage.statusHistory.filter(
|
||||
(status) => status.action !== 'knowledge_search'
|
||||
);
|
||||
}
|
||||
|
||||
messages = messages;
|
||||
}
|
||||
|
||||
stopResponseFlag = false;
|
||||
await tick();
|
||||
|
||||
let lastSentence = extractSentencesForAudio(responseMessage.content)?.at(-1) ?? '';
|
||||
if (lastSentence) {
|
||||
let lastMessageContentPart =
|
||||
getMessageContentParts(
|
||||
responseMessage.content,
|
||||
$config?.audio?.tts?.split_on ?? 'punctuation'
|
||||
)?.at(-1) ?? '';
|
||||
if (lastMessageContentPart) {
|
||||
eventTarget.dispatchEvent(
|
||||
new CustomEvent('chat', {
|
||||
detail: { id: responseMessageId, content: lastSentence }
|
||||
detail: { id: responseMessageId, content: lastMessageContentPart }
|
||||
})
|
||||
);
|
||||
}
|
||||
|
||||
eventTarget.dispatchEvent(
|
||||
new CustomEvent('chat:finish', {
|
||||
detail: {
|
||||
@@ -1029,7 +1109,18 @@
|
||||
|
||||
let files = JSON.parse(JSON.stringify(chatFiles));
|
||||
if (model?.info?.meta?.knowledge ?? false) {
|
||||
// Only initialize and add status if knowledge exists
|
||||
responseMessage.statusHistory = [
|
||||
{
|
||||
action: 'knowledge_search',
|
||||
description: $i18n.t(`Searching Knowledge for "{{searchQuery}}"`, {
|
||||
searchQuery: userMessage.content
|
||||
}),
|
||||
done: false
|
||||
}
|
||||
];
|
||||
files.push(...model.info.meta.knowledge);
|
||||
messages = messages; // Trigger Svelte update
|
||||
}
|
||||
files.push(
|
||||
...(userMessage?.files ?? []).filter((item) =>
|
||||
@@ -1056,10 +1147,10 @@
|
||||
stream: true,
|
||||
model: model.id,
|
||||
stream_options:
|
||||
model.info?.meta?.capabilities?.usage ?? false
|
||||
(model.info?.meta?.capabilities?.usage ?? false)
|
||||
? {
|
||||
include_usage: true
|
||||
}
|
||||
}
|
||||
: undefined,
|
||||
messages: [
|
||||
params?.system || $settings.system || (responseMessage?.userContext ?? null)
|
||||
@@ -1072,11 +1163,11 @@
|
||||
? await getAndUpdateUserLocation(localStorage.token)
|
||||
: undefined
|
||||
)}${
|
||||
responseMessage?.userContext ?? null
|
||||
(responseMessage?.userContext ?? null)
|
||||
? `\n\nUser Context:\n${responseMessage?.userContext ?? ''}`
|
||||
: ''
|
||||
}`
|
||||
}
|
||||
}
|
||||
: undefined,
|
||||
...messages
|
||||
]
|
||||
@@ -1092,7 +1183,7 @@
|
||||
text:
|
||||
arr.length - 1 !== idx
|
||||
? message.content
|
||||
: message?.raContent ?? message.content
|
||||
: (message?.raContent ?? message.content)
|
||||
},
|
||||
...message.files
|
||||
.filter((file) => file.type === 'image')
|
||||
@@ -1103,20 +1194,20 @@
|
||||
}
|
||||
}))
|
||||
]
|
||||
}
|
||||
}
|
||||
: {
|
||||
content:
|
||||
arr.length - 1 !== idx
|
||||
? message.content
|
||||
: message?.raContent ?? message.content
|
||||
})
|
||||
: (message?.raContent ?? message.content)
|
||||
})
|
||||
})),
|
||||
seed: params?.seed ?? $settings?.params?.seed ?? undefined,
|
||||
stop:
|
||||
params?.stop ?? $settings?.params?.stop ?? undefined
|
||||
(params?.stop ?? $settings?.params?.stop ?? undefined)
|
||||
? (params?.stop.split(',').map((token) => token.trim()) ?? $settings.params.stop).map(
|
||||
(str) => decodeURIComponent(JSON.parse('"' + str.replace(/\"/g, '\\"') + '"'))
|
||||
)
|
||||
)
|
||||
: undefined,
|
||||
temperature: params?.temperature ?? $settings?.params?.temperature ?? undefined,
|
||||
top_p: params?.top_p ?? $settings?.params?.top_p ?? undefined,
|
||||
@@ -1169,6 +1260,12 @@
|
||||
|
||||
if (citations) {
|
||||
responseMessage.citations = citations;
|
||||
// Only remove status if it was initially set
|
||||
if (model?.info?.meta?.knowledge ?? false) {
|
||||
responseMessage.statusHistory = responseMessage.statusHistory.filter(
|
||||
(status) => status.action !== 'knowledge_search'
|
||||
);
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
@@ -1177,18 +1274,28 @@
|
||||
} else {
|
||||
responseMessage.content += value;
|
||||
|
||||
const sentences = extractSentencesForAudio(responseMessage.content);
|
||||
sentences.pop();
|
||||
if (navigator.vibrate && ($settings?.hapticFeedback ?? false)) {
|
||||
navigator.vibrate(5);
|
||||
}
|
||||
|
||||
const messageContentParts = getMessageContentParts(
|
||||
responseMessage.content,
|
||||
$config?.audio?.tts?.split_on ?? 'punctuation'
|
||||
);
|
||||
messageContentParts.pop();
|
||||
|
||||
// dispatch only last sentence and make sure it hasn't been dispatched before
|
||||
if (
|
||||
sentences.length > 0 &&
|
||||
sentences[sentences.length - 1] !== responseMessage.lastSentence
|
||||
messageContentParts.length > 0 &&
|
||||
messageContentParts[messageContentParts.length - 1] !== responseMessage.lastSentence
|
||||
) {
|
||||
responseMessage.lastSentence = sentences[sentences.length - 1];
|
||||
responseMessage.lastSentence = messageContentParts[messageContentParts.length - 1];
|
||||
eventTarget.dispatchEvent(
|
||||
new CustomEvent('chat', {
|
||||
detail: { id: responseMessageId, content: sentences[sentences.length - 1] }
|
||||
detail: {
|
||||
id: responseMessageId,
|
||||
content: messageContentParts[messageContentParts.length - 1]
|
||||
}
|
||||
})
|
||||
);
|
||||
}
|
||||
@@ -1243,11 +1350,15 @@
|
||||
stopResponseFlag = false;
|
||||
await tick();
|
||||
|
||||
let lastSentence = extractSentencesForAudio(responseMessage.content)?.at(-1) ?? '';
|
||||
if (lastSentence) {
|
||||
let lastMessageContentPart =
|
||||
getMessageContentParts(
|
||||
responseMessage.content,
|
||||
$config?.audio?.tts?.split_on ?? 'punctuation'
|
||||
)?.at(-1) ?? '';
|
||||
if (lastMessageContentPart) {
|
||||
eventTarget.dispatchEvent(
|
||||
new CustomEvent('chat', {
|
||||
detail: { id: responseMessageId, content: lastSentence }
|
||||
detail: { id: responseMessageId, content: lastMessageContentPart }
|
||||
})
|
||||
);
|
||||
}
|
||||
@@ -1311,6 +1422,12 @@
|
||||
};
|
||||
responseMessage.done = true;
|
||||
|
||||
if (responseMessage.statusHistory) {
|
||||
responseMessage.statusHistory = responseMessage.statusHistory.filter(
|
||||
(status) => status.action !== 'knowledge_search'
|
||||
);
|
||||
}
|
||||
|
||||
messages = messages;
|
||||
};
|
||||
|
||||
@@ -1332,7 +1449,10 @@
|
||||
} else {
|
||||
// If there are multiple models selected, use the model of the response message for regeneration
|
||||
// e.g. many model chat
|
||||
await sendPrompt(userPrompt, userMessage.id, { modelId: message.model });
|
||||
await sendPrompt(userPrompt, userMessage.id, {
|
||||
modelId: message.model,
|
||||
modelIdx: message.modelIdx
|
||||
});
|
||||
}
|
||||
}
|
||||
};
|
||||
@@ -1392,7 +1512,7 @@
|
||||
title = _title;
|
||||
}
|
||||
|
||||
if ($settings.saveChatHistory ?? true) {
|
||||
if (!$temporaryChatEnabled) {
|
||||
chat = await updateChatById(localStorage.token, _chatId, { title: _title });
|
||||
|
||||
currentChatPage.set(1);
|
||||
@@ -1484,6 +1604,69 @@
|
||||
return [];
|
||||
});
|
||||
};
|
||||
|
||||
const saveChatHandler = async (_chatId) => {
|
||||
if ($chatId == _chatId) {
|
||||
if (!$temporaryChatEnabled) {
|
||||
chat = await updateChatById(localStorage.token, _chatId, {
|
||||
messages: messages,
|
||||
history: history,
|
||||
models: selectedModels,
|
||||
params: params,
|
||||
files: chatFiles
|
||||
});
|
||||
|
||||
currentChatPage.set(1);
|
||||
await chats.set(await getChatList(localStorage.token, $currentChatPage));
|
||||
}
|
||||
}
|
||||
};
|
||||
const mergeResponses = async (messageId, responses, _chatId) => {
|
||||
console.log('mergeResponses', messageId, responses);
|
||||
const message = history.messages[messageId];
|
||||
const mergedResponse = {
|
||||
status: true,
|
||||
content: ''
|
||||
};
|
||||
message.merged = mergedResponse;
|
||||
messages = messages;
|
||||
|
||||
try {
|
||||
const [res, controller] = await generateMoACompletion(
|
||||
localStorage.token,
|
||||
message.model,
|
||||
history.messages[message.parentId].content,
|
||||
responses
|
||||
);
|
||||
|
||||
if (res && res.ok && res.body) {
|
||||
const textStream = await createOpenAITextStream(res.body, $settings.splitLargeChunks);
|
||||
for await (const update of textStream) {
|
||||
const { value, done, citations, error, usage } = update;
|
||||
if (error || done) {
|
||||
break;
|
||||
}
|
||||
|
||||
if (mergedResponse.content == '' && value == '\n') {
|
||||
continue;
|
||||
} else {
|
||||
mergedResponse.content += value;
|
||||
messages = messages;
|
||||
}
|
||||
|
||||
if (autoScroll) {
|
||||
scrollToBottom();
|
||||
}
|
||||
}
|
||||
|
||||
await saveChatHandler(_chatId);
|
||||
} else {
|
||||
console.error(res);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(e);
|
||||
}
|
||||
};
|
||||
</script>
|
||||
|
||||
<svelte:head>
|
||||
@@ -1515,17 +1698,6 @@
|
||||
}}
|
||||
/>
|
||||
|
||||
{#if $showCallOverlay}
|
||||
<CallOverlay
|
||||
{submitPrompt}
|
||||
{stopResponse}
|
||||
bind:files
|
||||
modelId={selectedModelIds?.at(0) ?? null}
|
||||
chatId={$chatId}
|
||||
{eventTarget}
|
||||
/>
|
||||
{/if}
|
||||
|
||||
{#if !chatIdProp || (loaded && chatIdProp)}
|
||||
<div
|
||||
class="h-screen max-h-[100dvh] {$showSidebar
|
||||
@@ -1610,6 +1782,7 @@
|
||||
{sendPrompt}
|
||||
{continueGeneration}
|
||||
{regenerateResponse}
|
||||
{mergeResponses}
|
||||
{chatActionHandler}
|
||||
/>
|
||||
</div>
|
||||
@@ -1635,21 +1808,30 @@
|
||||
{messages}
|
||||
{submitPrompt}
|
||||
{stopResponse}
|
||||
on:call={() => {
|
||||
showControls = true;
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<ChatControls
|
||||
models={selectedModelIds.reduce((a, e, i, arr) => {
|
||||
const model = $models.find((m) => m.id === e);
|
||||
if (model) {
|
||||
return [...a, model];
|
||||
}
|
||||
return a;
|
||||
}, [])}
|
||||
bind:show={showControls}
|
||||
bind:chatFiles
|
||||
bind:params
|
||||
/>
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
<ChatControls
|
||||
models={selectedModelIds.reduce((a, e, i, arr) => {
|
||||
const model = $models.find((m) => m.id === e);
|
||||
if (model) {
|
||||
return [...a, model];
|
||||
}
|
||||
return a;
|
||||
}, [])}
|
||||
bind:show={showControls}
|
||||
bind:chatFiles
|
||||
bind:params
|
||||
bind:files
|
||||
{submitPrompt}
|
||||
{stopResponse}
|
||||
modelId={selectedModelIds?.at(0) ?? null}
|
||||
chatId={$chatId}
|
||||
{eventTarget}
|
||||
/>
|
||||
|
||||
@@ -3,6 +3,8 @@
|
||||
import Modal from '../common/Modal.svelte';
|
||||
import Controls from './Controls/Controls.svelte';
|
||||
import { onMount } from 'svelte';
|
||||
import { mobile, showCallOverlay } from '$lib/stores';
|
||||
import CallOverlay from './MessageInput/CallOverlay.svelte';
|
||||
|
||||
export let show = false;
|
||||
|
||||
@@ -12,6 +14,12 @@
|
||||
export let chatFiles = [];
|
||||
export let params = {};
|
||||
|
||||
export let eventTarget: EventTarget;
|
||||
export let submitPrompt: Function;
|
||||
export let stopResponse: Function;
|
||||
export let files;
|
||||
export let modelId;
|
||||
|
||||
let largeScreen = false;
|
||||
onMount(() => {
|
||||
// listen to resize 1024px
|
||||
@@ -42,18 +50,47 @@
|
||||
<div
|
||||
class="w-full h-full px-5 py-4 bg-white dark:shadow-lg dark:bg-gray-850 border border-gray-50 dark:border-gray-800 rounded-xl z-50 pointer-events-auto overflow-y-auto scrollbar-hidden"
|
||||
>
|
||||
<Controls
|
||||
on:close={() => {
|
||||
show = false;
|
||||
}}
|
||||
{models}
|
||||
bind:chatFiles
|
||||
bind:params
|
||||
/>
|
||||
{#if $showCallOverlay}
|
||||
<CallOverlay
|
||||
bind:files
|
||||
{submitPrompt}
|
||||
{stopResponse}
|
||||
{modelId}
|
||||
{chatId}
|
||||
{eventTarget}
|
||||
/>
|
||||
{:else}
|
||||
<Controls
|
||||
on:close={() => {
|
||||
show = false;
|
||||
}}
|
||||
{models}
|
||||
bind:chatFiles
|
||||
bind:params
|
||||
/>
|
||||
{/if}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
{:else if $showCallOverlay}
|
||||
<div class=" absolute w-full h-screen max-h-[100dvh] flex z-[999] overflow-hidden">
|
||||
<div
|
||||
class="absolute w-full h-screen max-h-[100dvh] bg-white text-gray-700 dark:bg-black dark:text-gray-300 flex justify-center"
|
||||
>
|
||||
<CallOverlay
|
||||
bind:files
|
||||
{submitPrompt}
|
||||
{stopResponse}
|
||||
{modelId}
|
||||
{chatId}
|
||||
{eventTarget}
|
||||
on:close={() => {
|
||||
show = false;
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
{:else}
|
||||
<Modal bind:show>
|
||||
<div class=" px-6 py-4 h-full">
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<script>
|
||||
<script lang="ts">
|
||||
import { createEventDispatcher, getContext } from 'svelte';
|
||||
const dispatch = createEventDispatcher();
|
||||
const i18n = getContext('i18n');
|
||||
@@ -9,8 +9,8 @@
|
||||
import FileItem from '$lib/components/common/FileItem.svelte';
|
||||
import Collapsible from '$lib/components/common/Collapsible.svelte';
|
||||
|
||||
import { user } from '$lib/stores';
|
||||
export let models = [];
|
||||
|
||||
export let chatFiles = [];
|
||||
export let params = {};
|
||||
</script>
|
||||
@@ -78,7 +78,7 @@
|
||||
<Collapsible title={$i18n.t('Advanced Params')} open={true}>
|
||||
<div class="text-sm mt-1.5" slot="content">
|
||||
<div>
|
||||
<AdvancedParams bind:params />
|
||||
<AdvancedParams admin={$user?.role === 'admin'} bind:params />
|
||||
</div>
|
||||
</div>
|
||||
</Collapsible>
|
||||
|
||||
@@ -1,6 +1,8 @@
|
||||
<script lang="ts">
|
||||
import { toast } from 'svelte-sonner';
|
||||
import { onMount, tick, getContext } from 'svelte';
|
||||
import { onMount, tick, getContext, createEventDispatcher } from 'svelte';
|
||||
const dispatch = createEventDispatcher();
|
||||
|
||||
import {
|
||||
type Model,
|
||||
mobile,
|
||||
@@ -12,16 +14,12 @@
|
||||
tools,
|
||||
user as _user
|
||||
} from '$lib/stores';
|
||||
import { blobToFile, calculateSHA256, findWordIndices } from '$lib/utils';
|
||||
|
||||
import {
|
||||
processDocToVectorDB,
|
||||
uploadDocToVectorDB,
|
||||
uploadWebToVectorDB,
|
||||
uploadYoutubeTranscriptionToVectorDB
|
||||
} from '$lib/apis/rag';
|
||||
import { blobToFile, findWordIndices } from '$lib/utils';
|
||||
|
||||
import { transcribeAudio } from '$lib/apis/audio';
|
||||
import { processDocToVectorDB } from '$lib/apis/rag';
|
||||
import { uploadFile } from '$lib/apis/files';
|
||||
|
||||
import {
|
||||
SUPPORTED_FILE_TYPE,
|
||||
SUPPORTED_FILE_EXTENSIONS,
|
||||
@@ -29,19 +27,14 @@
|
||||
WEBUI_API_BASE_URL
|
||||
} from '$lib/constants';
|
||||
|
||||
import Prompts from './MessageInput/PromptCommands.svelte';
|
||||
import Suggestions from './MessageInput/Suggestions.svelte';
|
||||
import AddFilesPlaceholder from '../AddFilesPlaceholder.svelte';
|
||||
import Documents from './MessageInput/Documents.svelte';
|
||||
import Models from './MessageInput/Models.svelte';
|
||||
import Tooltip from '../common/Tooltip.svelte';
|
||||
import XMark from '$lib/components/icons/XMark.svelte';
|
||||
import InputMenu from './MessageInput/InputMenu.svelte';
|
||||
import Headphone from '../icons/Headphone.svelte';
|
||||
import VoiceRecording from './MessageInput/VoiceRecording.svelte';
|
||||
import { transcribeAudio } from '$lib/apis/audio';
|
||||
import FileItem from '../common/FileItem.svelte';
|
||||
import FilesOverlay from './MessageInput/FilesOverlay.svelte';
|
||||
import Commands from './MessageInput/Commands.svelte';
|
||||
import XMark from '../icons/XMark.svelte';
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
@@ -50,7 +43,7 @@
|
||||
export let submitPrompt: Function;
|
||||
export let stopResponse: Function;
|
||||
|
||||
export let autoScroll = true;
|
||||
export let autoScroll = false;
|
||||
|
||||
export let atSelectedModel: Model | undefined;
|
||||
export let selectedModels: [''];
|
||||
@@ -60,9 +53,7 @@
|
||||
let chatTextAreaElement: HTMLTextAreaElement;
|
||||
let filesInputElement;
|
||||
|
||||
let promptsElement;
|
||||
let documentsElement;
|
||||
let modelsElement;
|
||||
let commandsElement;
|
||||
|
||||
let inputFiles;
|
||||
let dragged = false;
|
||||
@@ -93,7 +84,10 @@
|
||||
|
||||
const scrollToBottom = () => {
|
||||
const element = document.getElementById('messages-container');
|
||||
element.scrollTop = element.scrollHeight;
|
||||
element.scrollTo({
|
||||
top: element.scrollHeight,
|
||||
behavior: 'smooth'
|
||||
});
|
||||
};
|
||||
|
||||
const uploadFileHandler = async (file) => {
|
||||
@@ -177,60 +171,42 @@
|
||||
}
|
||||
};
|
||||
|
||||
const uploadWeb = async (url) => {
|
||||
console.log(url);
|
||||
const inputFilesHandler = async (inputFiles) => {
|
||||
inputFiles.forEach((file) => {
|
||||
console.log(file, file.name.split('.').at(-1));
|
||||
|
||||
const doc = {
|
||||
type: 'doc',
|
||||
name: url,
|
||||
collection_name: '',
|
||||
status: false,
|
||||
url: url,
|
||||
error: ''
|
||||
};
|
||||
|
||||
try {
|
||||
files = [...files, doc];
|
||||
const res = await uploadWebToVectorDB(localStorage.token, '', url);
|
||||
|
||||
if (res) {
|
||||
doc.status = 'processed';
|
||||
doc.collection_name = res.collection_name;
|
||||
files = files;
|
||||
if (
|
||||
($config?.file?.max_size ?? null) !== null &&
|
||||
file.size > ($config?.file?.max_size ?? 0) * 1024 * 1024
|
||||
) {
|
||||
toast.error(
|
||||
$i18n.t(`File size should not exceed {{maxSize}} MB.`, {
|
||||
maxSize: $config?.file?.max_size
|
||||
})
|
||||
);
|
||||
return;
|
||||
}
|
||||
} catch (e) {
|
||||
// Remove the failed doc from the files array
|
||||
files = files.filter((f) => f.name !== url);
|
||||
toast.error(e);
|
||||
}
|
||||
};
|
||||
|
||||
const uploadYoutubeTranscription = async (url) => {
|
||||
console.log(url);
|
||||
|
||||
const doc = {
|
||||
type: 'doc',
|
||||
name: url,
|
||||
collection_name: '',
|
||||
status: false,
|
||||
url: url,
|
||||
error: ''
|
||||
};
|
||||
|
||||
try {
|
||||
files = [...files, doc];
|
||||
const res = await uploadYoutubeTranscriptionToVectorDB(localStorage.token, url);
|
||||
|
||||
if (res) {
|
||||
doc.status = 'processed';
|
||||
doc.collection_name = res.collection_name;
|
||||
files = files;
|
||||
if (['image/gif', 'image/webp', 'image/jpeg', 'image/png'].includes(file['type'])) {
|
||||
if (visionCapableModels.length === 0) {
|
||||
toast.error($i18n.t('Selected model(s) do not support image inputs'));
|
||||
return;
|
||||
}
|
||||
let reader = new FileReader();
|
||||
reader.onload = (event) => {
|
||||
files = [
|
||||
...files,
|
||||
{
|
||||
type: 'image',
|
||||
url: `${event.target.result}`
|
||||
}
|
||||
];
|
||||
};
|
||||
reader.readAsDataURL(file);
|
||||
} else {
|
||||
uploadFileHandler(file);
|
||||
}
|
||||
} catch (e) {
|
||||
// Remove the failed doc from the files array
|
||||
files = files.filter((f) => f.name !== url);
|
||||
toast.error(e);
|
||||
}
|
||||
});
|
||||
};
|
||||
|
||||
onMount(() => {
|
||||
@@ -260,30 +236,9 @@
|
||||
|
||||
if (e.dataTransfer?.files) {
|
||||
const inputFiles = Array.from(e.dataTransfer?.files);
|
||||
|
||||
if (inputFiles && inputFiles.length > 0) {
|
||||
inputFiles.forEach((file) => {
|
||||
console.log(file, file.name.split('.').at(-1));
|
||||
if (['image/gif', 'image/webp', 'image/jpeg', 'image/png'].includes(file['type'])) {
|
||||
if (visionCapableModels.length === 0) {
|
||||
toast.error($i18n.t('Selected model(s) do not support image inputs'));
|
||||
return;
|
||||
}
|
||||
let reader = new FileReader();
|
||||
reader.onload = (event) => {
|
||||
files = [
|
||||
...files,
|
||||
{
|
||||
type: 'image',
|
||||
url: `${event.target.result}`
|
||||
}
|
||||
];
|
||||
};
|
||||
reader.readAsDataURL(file);
|
||||
} else {
|
||||
uploadFileHandler(file);
|
||||
}
|
||||
});
|
||||
console.log(inputFiles);
|
||||
inputFilesHandler(inputFiles);
|
||||
} else {
|
||||
toast.error($i18n.t(`File not found.`));
|
||||
}
|
||||
@@ -343,48 +298,9 @@
|
||||
</div>
|
||||
|
||||
<div class="w-full relative">
|
||||
{#if prompt.charAt(0) === '/'}
|
||||
<Prompts bind:this={promptsElement} bind:prompt bind:files />
|
||||
{:else if prompt.charAt(0) === '#'}
|
||||
<Documents
|
||||
bind:this={documentsElement}
|
||||
bind:prompt
|
||||
on:youtube={(e) => {
|
||||
console.log(e);
|
||||
uploadYoutubeTranscription(e.detail);
|
||||
}}
|
||||
on:url={(e) => {
|
||||
console.log(e);
|
||||
uploadWeb(e.detail);
|
||||
}}
|
||||
on:select={(e) => {
|
||||
console.log(e);
|
||||
files = [
|
||||
...files,
|
||||
{
|
||||
type: e?.detail?.type ?? 'file',
|
||||
...e.detail,
|
||||
status: 'processed'
|
||||
}
|
||||
];
|
||||
}}
|
||||
/>
|
||||
{/if}
|
||||
|
||||
<Models
|
||||
bind:this={modelsElement}
|
||||
bind:prompt
|
||||
bind:chatInputPlaceholder
|
||||
{messages}
|
||||
on:select={(e) => {
|
||||
atSelectedModel = e.detail;
|
||||
chatTextAreaElement?.focus();
|
||||
}}
|
||||
/>
|
||||
|
||||
{#if atSelectedModel !== undefined}
|
||||
<div
|
||||
class="px-3 py-2.5 text-left w-full flex justify-between items-center absolute bottom-0 left-0 right-0 bg-gradient-to-t from-50% from-white dark:from-gray-900 z-50"
|
||||
class="px-3 py-2.5 text-left w-full flex justify-between items-center absolute bottom-0.5 left-0 right-0 bg-gradient-to-t from-50% from-white dark:from-gray-900 z-10"
|
||||
>
|
||||
<div class="flex items-center gap-2 text-sm dark:text-gray-500">
|
||||
<img
|
||||
@@ -413,6 +329,21 @@
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
<Commands
|
||||
bind:this={commandsElement}
|
||||
bind:prompt
|
||||
bind:files
|
||||
on:select={(e) => {
|
||||
const data = e.detail;
|
||||
|
||||
if (data?.type === 'model') {
|
||||
atSelectedModel = data.data;
|
||||
}
|
||||
|
||||
chatTextAreaElement?.focus();
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -429,27 +360,7 @@
|
||||
on:change={async () => {
|
||||
if (inputFiles && inputFiles.length > 0) {
|
||||
const _inputFiles = Array.from(inputFiles);
|
||||
_inputFiles.forEach((file) => {
|
||||
if (['image/gif', 'image/webp', 'image/jpeg', 'image/png'].includes(file['type'])) {
|
||||
if (visionCapableModels.length === 0) {
|
||||
toast.error($i18n.t('Selected model(s) do not support image inputs'));
|
||||
return;
|
||||
}
|
||||
let reader = new FileReader();
|
||||
reader.onload = (event) => {
|
||||
files = [
|
||||
...files,
|
||||
{
|
||||
type: 'image',
|
||||
url: `${event.target.result}`
|
||||
}
|
||||
];
|
||||
};
|
||||
reader.readAsDataURL(file);
|
||||
} else {
|
||||
uploadFileHandler(file);
|
||||
}
|
||||
});
|
||||
inputFilesHandler(_inputFiles);
|
||||
} else {
|
||||
toast.error($i18n.t(`File not found.`));
|
||||
}
|
||||
@@ -638,6 +549,7 @@
|
||||
}}
|
||||
on:keydown={async (e) => {
|
||||
const isCtrlPressed = e.ctrlKey || e.metaKey; // metaKey is for Cmd key on Mac
|
||||
const commandsContainerElement = document.getElementById('commands-container');
|
||||
|
||||
// Check if Ctrl + R is pressed
|
||||
if (prompt === '' && isCtrlPressed && e.key.toLowerCase() === 'r') {
|
||||
@@ -668,10 +580,9 @@
|
||||
editButton?.click();
|
||||
}
|
||||
|
||||
if (['/', '#', '@'].includes(prompt.charAt(0)) && e.key === 'ArrowUp') {
|
||||
if (commandsContainerElement && e.key === 'ArrowUp') {
|
||||
e.preventDefault();
|
||||
|
||||
(promptsElement || documentsElement || modelsElement).selectUp();
|
||||
commandsElement.selectUp();
|
||||
|
||||
const commandOptionButton = [
|
||||
...document.getElementsByClassName('selected-command-option-button')
|
||||
@@ -679,10 +590,9 @@
|
||||
commandOptionButton.scrollIntoView({ block: 'center' });
|
||||
}
|
||||
|
||||
if (['/', '#', '@'].includes(prompt.charAt(0)) && e.key === 'ArrowDown') {
|
||||
if (commandsContainerElement && e.key === 'ArrowDown') {
|
||||
e.preventDefault();
|
||||
|
||||
(promptsElement || documentsElement || modelsElement).selectDown();
|
||||
commandsElement.selectDown();
|
||||
|
||||
const commandOptionButton = [
|
||||
...document.getElementsByClassName('selected-command-option-button')
|
||||
@@ -690,7 +600,7 @@
|
||||
commandOptionButton.scrollIntoView({ block: 'center' });
|
||||
}
|
||||
|
||||
if (['/', '#', '@'].includes(prompt.charAt(0)) && e.key === 'Enter') {
|
||||
if (commandsContainerElement && e.key === 'Enter') {
|
||||
e.preventDefault();
|
||||
|
||||
const commandOptionButton = [
|
||||
@@ -706,7 +616,7 @@
|
||||
}
|
||||
}
|
||||
|
||||
if (['/', '#', '@'].includes(prompt.charAt(0)) && e.key === 'Tab') {
|
||||
if (commandsContainerElement && e.key === 'Tab') {
|
||||
e.preventDefault();
|
||||
|
||||
const commandOptionButton = [
|
||||
@@ -742,16 +652,16 @@
|
||||
}
|
||||
}}
|
||||
rows="1"
|
||||
on:input={(e) => {
|
||||
on:input={async (e) => {
|
||||
e.target.style.height = '';
|
||||
e.target.style.height = Math.min(e.target.scrollHeight, 200) + 'px';
|
||||
user = null;
|
||||
}}
|
||||
on:focus={(e) => {
|
||||
on:focus={async (e) => {
|
||||
e.target.style.height = '';
|
||||
e.target.style.height = Math.min(e.target.scrollHeight, 200) + 'px';
|
||||
}}
|
||||
on:paste={(e) => {
|
||||
on:paste={async (e) => {
|
||||
const clipboardData = e.clipboardData || window.clipboardData;
|
||||
|
||||
if (clipboardData && clipboardData.items) {
|
||||
@@ -786,7 +696,7 @@
|
||||
type="button"
|
||||
on:click={async () => {
|
||||
try {
|
||||
const res = await navigator.mediaDevices
|
||||
let stream = await navigator.mediaDevices
|
||||
.getUserMedia({ audio: true })
|
||||
.catch(function (err) {
|
||||
toast.error(
|
||||
@@ -800,9 +710,12 @@
|
||||
return null;
|
||||
});
|
||||
|
||||
if (res) {
|
||||
if (stream) {
|
||||
recording = true;
|
||||
const tracks = stream.getTracks();
|
||||
tracks.forEach((track) => track.stop());
|
||||
}
|
||||
stream = null;
|
||||
} catch {
|
||||
toast.error($i18n.t('Permission denied when accessing microphone'));
|
||||
}
|
||||
@@ -849,10 +762,18 @@
|
||||
}
|
||||
// check if user has access to getUserMedia
|
||||
try {
|
||||
await navigator.mediaDevices.getUserMedia({ audio: true });
|
||||
let stream = await navigator.mediaDevices.getUserMedia({ audio: true });
|
||||
// If the user grants the permission, proceed to show the call overlay
|
||||
|
||||
if (stream) {
|
||||
const tracks = stream.getTracks();
|
||||
tracks.forEach((track) => track.stop());
|
||||
}
|
||||
|
||||
stream = null;
|
||||
|
||||
showCallOverlay.set(true);
|
||||
dispatch('call');
|
||||
} catch (err) {
|
||||
// If the user denies the permission or an error occurs, show an error message
|
||||
toast.error($i18n.t('Permission denied when accessing media devices'));
|
||||
|
||||
@@ -1,6 +1,8 @@
|
||||
<script lang="ts">
|
||||
import { config, models, settings, showCallOverlay } from '$lib/stores';
|
||||
import { onMount, tick, getContext } from 'svelte';
|
||||
import { onMount, tick, getContext, onDestroy, createEventDispatcher } from 'svelte';
|
||||
|
||||
const dispatch = createEventDispatcher();
|
||||
|
||||
import {
|
||||
blobToFile,
|
||||
@@ -19,15 +21,14 @@
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
export let eventTarget: EventTarget;
|
||||
|
||||
export let submitPrompt: Function;
|
||||
export let stopResponse: Function;
|
||||
|
||||
export let files;
|
||||
|
||||
export let chatId;
|
||||
export let modelId;
|
||||
|
||||
let wakeLock = null;
|
||||
|
||||
let model = null;
|
||||
|
||||
let loading = false;
|
||||
@@ -45,6 +46,7 @@
|
||||
let rmsLevel = 0;
|
||||
let hasStartedSpeaking = false;
|
||||
let mediaRecorder;
|
||||
let audioStream = null;
|
||||
let audioChunks = [];
|
||||
|
||||
let videoInputDevices = [];
|
||||
@@ -210,17 +212,23 @@
|
||||
} else {
|
||||
audioChunks = [];
|
||||
mediaRecorder = false;
|
||||
|
||||
if (audioStream) {
|
||||
const tracks = audioStream.getTracks();
|
||||
tracks.forEach((track) => track.stop());
|
||||
}
|
||||
audioStream = null;
|
||||
}
|
||||
};
|
||||
|
||||
const startRecording = async () => {
|
||||
const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
|
||||
mediaRecorder = new MediaRecorder(stream);
|
||||
audioStream = await navigator.mediaDevices.getUserMedia({ audio: true });
|
||||
mediaRecorder = new MediaRecorder(audioStream);
|
||||
|
||||
mediaRecorder.onstart = () => {
|
||||
console.log('Recording started');
|
||||
audioChunks = [];
|
||||
analyseAudio(stream);
|
||||
analyseAudio(audioStream);
|
||||
};
|
||||
|
||||
mediaRecorder.ondataavailable = (event) => {
|
||||
@@ -237,6 +245,15 @@
|
||||
mediaRecorder.start();
|
||||
};
|
||||
|
||||
const stopAudioStream = async () => {
|
||||
if (audioStream) {
|
||||
const tracks = audioStream.getTracks();
|
||||
tracks.forEach((track) => track.stop());
|
||||
}
|
||||
|
||||
audioStream = null;
|
||||
};
|
||||
|
||||
// Function to calculate the RMS level from time domain data
|
||||
const calculateRMS = (data: Uint8Array) => {
|
||||
let sumSquares = 0;
|
||||
@@ -509,6 +526,34 @@
|
||||
};
|
||||
|
||||
onMount(async () => {
|
||||
const setWakeLock = async () => {
|
||||
try {
|
||||
wakeLock = await navigator.wakeLock.request('screen');
|
||||
} catch (err) {
|
||||
// The Wake Lock request has failed - usually system related, such as battery.
|
||||
console.log(err);
|
||||
}
|
||||
|
||||
if (wakeLock) {
|
||||
// Add a listener to release the wake lock when the page is unloaded
|
||||
wakeLock.addEventListener('release', () => {
|
||||
// the wake lock has been released
|
||||
console.log('Wake Lock released');
|
||||
});
|
||||
}
|
||||
};
|
||||
|
||||
if ('wakeLock' in navigator) {
|
||||
await setWakeLock();
|
||||
|
||||
document.addEventListener('visibilitychange', async () => {
|
||||
// Re-request the wake lock if the document becomes visible
|
||||
if (wakeLock !== null && document.visibilityState === 'visible') {
|
||||
await setWakeLock();
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
model = $models.find((m) => m.id === modelId);
|
||||
|
||||
startRecording();
|
||||
@@ -585,302 +630,225 @@
|
||||
await stopCamera();
|
||||
};
|
||||
});
|
||||
|
||||
onDestroy(async () => {
|
||||
await stopAllAudio();
|
||||
await stopRecordingCallback(false);
|
||||
await stopCamera();
|
||||
});
|
||||
</script>
|
||||
|
||||
{#if $showCallOverlay}
|
||||
<div class=" absolute w-full h-screen max-h-[100dvh] flex z-[999] overflow-hidden">
|
||||
<div
|
||||
class="absolute w-full h-screen max-h-[100dvh] bg-white text-gray-700 dark:bg-black dark:text-gray-300 flex justify-center"
|
||||
>
|
||||
<div class="max-w-lg w-full h-screen max-h-[100dvh] flex flex-col justify-between p-3 md:p-6">
|
||||
{#if camera}
|
||||
<button
|
||||
type="button"
|
||||
class="flex justify-center items-center w-full h-20 min-h-20"
|
||||
on:click={() => {
|
||||
if (assistantSpeaking) {
|
||||
stopAllAudio();
|
||||
}
|
||||
}}
|
||||
>
|
||||
{#if emoji}
|
||||
<div
|
||||
class=" transition-all rounded-full"
|
||||
style="font-size:{rmsLevel * 100 > 4
|
||||
? '4.5'
|
||||
: rmsLevel * 100 > 2
|
||||
? '4.25'
|
||||
: rmsLevel * 100 > 1
|
||||
<div class="max-w-lg w-full h-full max-h-[100dvh] flex flex-col justify-between p-3 md:p-6">
|
||||
{#if camera}
|
||||
<button
|
||||
type="button"
|
||||
class="flex justify-center items-center w-full h-20 min-h-20"
|
||||
on:click={() => {
|
||||
if (assistantSpeaking) {
|
||||
stopAllAudio();
|
||||
}
|
||||
}}
|
||||
>
|
||||
{#if emoji}
|
||||
<div
|
||||
class=" transition-all rounded-full"
|
||||
style="font-size:{rmsLevel * 100 > 4
|
||||
? '4.5'
|
||||
: rmsLevel * 100 > 2
|
||||
? '4.25'
|
||||
: rmsLevel * 100 > 1
|
||||
? '3.75'
|
||||
: '3.5'}rem;width: 100%; text-align:center;"
|
||||
>
|
||||
{emoji}
|
||||
</div>
|
||||
{:else if loading || assistantSpeaking}
|
||||
<svg
|
||||
class="size-12 text-gray-900 dark:text-gray-400"
|
||||
viewBox="0 0 24 24"
|
||||
fill="currentColor"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
><style>
|
||||
.spinner_qM83 {
|
||||
animation: spinner_8HQG 1.05s infinite;
|
||||
}
|
||||
.spinner_oXPr {
|
||||
animation-delay: 0.1s;
|
||||
}
|
||||
.spinner_ZTLf {
|
||||
animation-delay: 0.2s;
|
||||
}
|
||||
@keyframes spinner_8HQG {
|
||||
0%,
|
||||
57.14% {
|
||||
animation-timing-function: cubic-bezier(0.33, 0.66, 0.66, 1);
|
||||
transform: translate(0);
|
||||
}
|
||||
28.57% {
|
||||
animation-timing-function: cubic-bezier(0.33, 0, 0.66, 0.33);
|
||||
transform: translateY(-6px);
|
||||
}
|
||||
100% {
|
||||
transform: translate(0);
|
||||
}
|
||||
}
|
||||
</style><circle class="spinner_qM83" cx="4" cy="12" r="3" /><circle
|
||||
class="spinner_qM83 spinner_oXPr"
|
||||
cx="12"
|
||||
cy="12"
|
||||
r="3"
|
||||
/><circle class="spinner_qM83 spinner_ZTLf" cx="20" cy="12" r="3" /></svg
|
||||
>
|
||||
{:else}
|
||||
<div
|
||||
class=" {rmsLevel * 100 > 4
|
||||
? ' size-[4.5rem]'
|
||||
: rmsLevel * 100 > 2
|
||||
? ' size-16'
|
||||
: rmsLevel * 100 > 1
|
||||
>
|
||||
{emoji}
|
||||
</div>
|
||||
{:else if loading || assistantSpeaking}
|
||||
<svg
|
||||
class="size-12 text-gray-900 dark:text-gray-400"
|
||||
viewBox="0 0 24 24"
|
||||
fill="currentColor"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
><style>
|
||||
.spinner_qM83 {
|
||||
animation: spinner_8HQG 1.05s infinite;
|
||||
}
|
||||
.spinner_oXPr {
|
||||
animation-delay: 0.1s;
|
||||
}
|
||||
.spinner_ZTLf {
|
||||
animation-delay: 0.2s;
|
||||
}
|
||||
@keyframes spinner_8HQG {
|
||||
0%,
|
||||
57.14% {
|
||||
animation-timing-function: cubic-bezier(0.33, 0.66, 0.66, 1);
|
||||
transform: translate(0);
|
||||
}
|
||||
28.57% {
|
||||
animation-timing-function: cubic-bezier(0.33, 0, 0.66, 0.33);
|
||||
transform: translateY(-6px);
|
||||
}
|
||||
100% {
|
||||
transform: translate(0);
|
||||
}
|
||||
}
|
||||
</style><circle class="spinner_qM83" cx="4" cy="12" r="3" /><circle
|
||||
class="spinner_qM83 spinner_oXPr"
|
||||
cx="12"
|
||||
cy="12"
|
||||
r="3"
|
||||
/><circle class="spinner_qM83 spinner_ZTLf" cx="20" cy="12" r="3" /></svg
|
||||
>
|
||||
{:else}
|
||||
<div
|
||||
class=" {rmsLevel * 100 > 4
|
||||
? ' size-[4.5rem]'
|
||||
: rmsLevel * 100 > 2
|
||||
? ' size-16'
|
||||
: rmsLevel * 100 > 1
|
||||
? 'size-14'
|
||||
: 'size-12'} transition-all rounded-full {(model?.info?.meta
|
||||
?.profile_image_url ?? '/static/favicon.png') !== '/static/favicon.png'
|
||||
? ' bg-cover bg-center bg-no-repeat'
|
||||
: 'bg-black dark:bg-white'} bg-black dark:bg-white"
|
||||
style={(model?.info?.meta?.profile_image_url ?? '/static/favicon.png') !==
|
||||
'/static/favicon.png'
|
||||
? `background-image: url('${model?.info?.meta?.profile_image_url}');`
|
||||
: ''}
|
||||
/>
|
||||
{/if}
|
||||
<!-- navbar -->
|
||||
</button>
|
||||
?.profile_image_url ?? '/static/favicon.png') !== '/static/favicon.png'
|
||||
? ' bg-cover bg-center bg-no-repeat'
|
||||
: 'bg-black dark:bg-white'} bg-black dark:bg-white"
|
||||
style={(model?.info?.meta?.profile_image_url ?? '/static/favicon.png') !==
|
||||
'/static/favicon.png'
|
||||
? `background-image: url('${model?.info?.meta?.profile_image_url}');`
|
||||
: ''}
|
||||
/>
|
||||
{/if}
|
||||
<!-- navbar -->
|
||||
</button>
|
||||
{/if}
|
||||
|
||||
<div class="flex justify-center items-center flex-1 h-full w-full max-h-full">
|
||||
{#if !camera}
|
||||
<button
|
||||
type="button"
|
||||
on:click={() => {
|
||||
if (assistantSpeaking) {
|
||||
stopAllAudio();
|
||||
}
|
||||
}}
|
||||
>
|
||||
{#if emoji}
|
||||
<div
|
||||
class=" transition-all rounded-full"
|
||||
style="font-size:{rmsLevel * 100 > 4
|
||||
? '13'
|
||||
: rmsLevel * 100 > 2
|
||||
? '12'
|
||||
: rmsLevel * 100 > 1
|
||||
<div class="flex justify-center items-center flex-1 h-full w-full max-h-full">
|
||||
{#if !camera}
|
||||
<button
|
||||
type="button"
|
||||
on:click={() => {
|
||||
if (assistantSpeaking) {
|
||||
stopAllAudio();
|
||||
}
|
||||
}}
|
||||
>
|
||||
{#if emoji}
|
||||
<div
|
||||
class=" transition-all rounded-full"
|
||||
style="font-size:{rmsLevel * 100 > 4
|
||||
? '13'
|
||||
: rmsLevel * 100 > 2
|
||||
? '12'
|
||||
: rmsLevel * 100 > 1
|
||||
? '11.5'
|
||||
: '11'}rem;width:100%;text-align:center;"
|
||||
>
|
||||
{emoji}
|
||||
</div>
|
||||
{:else if loading || assistantSpeaking}
|
||||
<svg
|
||||
class="size-44 text-gray-900 dark:text-gray-400"
|
||||
viewBox="0 0 24 24"
|
||||
fill="currentColor"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
><style>
|
||||
.spinner_qM83 {
|
||||
animation: spinner_8HQG 1.05s infinite;
|
||||
}
|
||||
.spinner_oXPr {
|
||||
animation-delay: 0.1s;
|
||||
}
|
||||
.spinner_ZTLf {
|
||||
animation-delay: 0.2s;
|
||||
}
|
||||
@keyframes spinner_8HQG {
|
||||
0%,
|
||||
57.14% {
|
||||
animation-timing-function: cubic-bezier(0.33, 0.66, 0.66, 1);
|
||||
transform: translate(0);
|
||||
}
|
||||
28.57% {
|
||||
animation-timing-function: cubic-bezier(0.33, 0, 0.66, 0.33);
|
||||
transform: translateY(-6px);
|
||||
}
|
||||
100% {
|
||||
transform: translate(0);
|
||||
}
|
||||
}
|
||||
</style><circle class="spinner_qM83" cx="4" cy="12" r="3" /><circle
|
||||
class="spinner_qM83 spinner_oXPr"
|
||||
cx="12"
|
||||
cy="12"
|
||||
r="3"
|
||||
/><circle class="spinner_qM83 spinner_ZTLf" cx="20" cy="12" r="3" /></svg
|
||||
>
|
||||
{:else}
|
||||
<div
|
||||
class=" {rmsLevel * 100 > 4
|
||||
? ' size-52'
|
||||
: rmsLevel * 100 > 2
|
||||
? 'size-48'
|
||||
: rmsLevel * 100 > 1
|
||||
? 'size-[11.5rem]'
|
||||
: 'size-44'} transition-all rounded-full {(model?.info?.meta
|
||||
?.profile_image_url ?? '/static/favicon.png') !== '/static/favicon.png'
|
||||
? ' bg-cover bg-center bg-no-repeat'
|
||||
: 'bg-black dark:bg-white'} "
|
||||
style={(model?.info?.meta?.profile_image_url ?? '/static/favicon.png') !==
|
||||
'/static/favicon.png'
|
||||
? `background-image: url('${model?.info?.meta?.profile_image_url}');`
|
||||
: ''}
|
||||
/>
|
||||
{/if}
|
||||
</button>
|
||||
>
|
||||
{emoji}
|
||||
</div>
|
||||
{:else if loading || assistantSpeaking}
|
||||
<svg
|
||||
class="size-44 text-gray-900 dark:text-gray-400"
|
||||
viewBox="0 0 24 24"
|
||||
fill="currentColor"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
><style>
|
||||
.spinner_qM83 {
|
||||
animation: spinner_8HQG 1.05s infinite;
|
||||
}
|
||||
.spinner_oXPr {
|
||||
animation-delay: 0.1s;
|
||||
}
|
||||
.spinner_ZTLf {
|
||||
animation-delay: 0.2s;
|
||||
}
|
||||
@keyframes spinner_8HQG {
|
||||
0%,
|
||||
57.14% {
|
||||
animation-timing-function: cubic-bezier(0.33, 0.66, 0.66, 1);
|
||||
transform: translate(0);
|
||||
}
|
||||
28.57% {
|
||||
animation-timing-function: cubic-bezier(0.33, 0, 0.66, 0.33);
|
||||
transform: translateY(-6px);
|
||||
}
|
||||
100% {
|
||||
transform: translate(0);
|
||||
}
|
||||
}
|
||||
</style><circle class="spinner_qM83" cx="4" cy="12" r="3" /><circle
|
||||
class="spinner_qM83 spinner_oXPr"
|
||||
cx="12"
|
||||
cy="12"
|
||||
r="3"
|
||||
/><circle class="spinner_qM83 spinner_ZTLf" cx="20" cy="12" r="3" /></svg
|
||||
>
|
||||
{:else}
|
||||
<div
|
||||
class="relative flex video-container w-full max-h-full pt-2 pb-4 md:py-6 px-2 h-full"
|
||||
>
|
||||
<video
|
||||
id="camera-feed"
|
||||
autoplay
|
||||
class="rounded-2xl h-full min-w-full object-cover object-center"
|
||||
playsinline
|
||||
/>
|
||||
|
||||
<canvas id="camera-canvas" style="display:none;" />
|
||||
|
||||
<div class=" absolute top-4 md:top-8 left-4">
|
||||
<button
|
||||
type="button"
|
||||
class="p-1.5 text-white cursor-pointer backdrop-blur-xl bg-black/10 rounded-full"
|
||||
on:click={() => {
|
||||
stopCamera();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="size-6"
|
||||
>
|
||||
<path
|
||||
d="M5.28 4.22a.75.75 0 0 0-1.06 1.06L6.94 8l-2.72 2.72a.75.75 0 1 0 1.06 1.06L8 9.06l2.72 2.72a.75.75 0 1 0 1.06-1.06L9.06 8l2.72-2.72a.75.75 0 0 0-1.06-1.06L8 6.94 5.28 4.22Z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
class=" {rmsLevel * 100 > 4
|
||||
? ' size-52'
|
||||
: rmsLevel * 100 > 2
|
||||
? 'size-48'
|
||||
: rmsLevel * 100 > 1
|
||||
? 'size-44'
|
||||
: 'size-40'} transition-all rounded-full {(model?.info?.meta
|
||||
?.profile_image_url ?? '/static/favicon.png') !== '/static/favicon.png'
|
||||
? ' bg-cover bg-center bg-no-repeat'
|
||||
: 'bg-black dark:bg-white'} "
|
||||
style={(model?.info?.meta?.profile_image_url ?? '/static/favicon.png') !==
|
||||
'/static/favicon.png'
|
||||
? `background-image: url('${model?.info?.meta?.profile_image_url}');`
|
||||
: ''}
|
||||
/>
|
||||
{/if}
|
||||
</div>
|
||||
</button>
|
||||
{:else}
|
||||
<div class="relative flex video-container w-full max-h-full pt-2 pb-4 md:py-6 px-2 h-full">
|
||||
<video
|
||||
id="camera-feed"
|
||||
autoplay
|
||||
class="rounded-2xl h-full min-w-full object-cover object-center"
|
||||
playsinline
|
||||
/>
|
||||
|
||||
<div class="flex justify-between items-center pb-2 w-full">
|
||||
<div>
|
||||
{#if camera}
|
||||
<VideoInputMenu
|
||||
devices={videoInputDevices}
|
||||
on:change={async (e) => {
|
||||
console.log(e.detail);
|
||||
selectedVideoInputDeviceId = e.detail;
|
||||
await stopVideoStream();
|
||||
await startVideoStream();
|
||||
}}
|
||||
>
|
||||
<button class=" p-3 rounded-full bg-gray-50 dark:bg-gray-900" type="button">
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
fill="currentColor"
|
||||
class="size-5"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M15.312 11.424a5.5 5.5 0 0 1-9.201 2.466l-.312-.311h2.433a.75.75 0 0 0 0-1.5H3.989a.75.75 0 0 0-.75.75v4.242a.75.75 0 0 0 1.5 0v-2.43l.31.31a7 7 0 0 0 11.712-3.138.75.75 0 0 0-1.449-.39Zm1.23-3.723a.75.75 0 0 0 .219-.53V2.929a.75.75 0 0 0-1.5 0V5.36l-.31-.31A7 7 0 0 0 3.239 8.188a.75.75 0 1 0 1.448.389A5.5 5.5 0 0 1 13.89 6.11l.311.31h-2.432a.75.75 0 0 0 0 1.5h4.243a.75.75 0 0 0 .53-.219Z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</VideoInputMenu>
|
||||
{:else}
|
||||
<Tooltip content={$i18n.t('Camera')}>
|
||||
<button
|
||||
class=" p-3 rounded-full bg-gray-50 dark:bg-gray-900"
|
||||
type="button"
|
||||
on:click={async () => {
|
||||
await navigator.mediaDevices.getUserMedia({ video: true });
|
||||
startCamera();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke="currentColor"
|
||||
class="size-5"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M6.827 6.175A2.31 2.31 0 0 1 5.186 7.23c-.38.054-.757.112-1.134.175C2.999 7.58 2.25 8.507 2.25 9.574V18a2.25 2.25 0 0 0 2.25 2.25h15A2.25 2.25 0 0 0 21.75 18V9.574c0-1.067-.75-1.994-1.802-2.169a47.865 47.865 0 0 0-1.134-.175 2.31 2.31 0 0 1-1.64-1.055l-.822-1.316a2.192 2.192 0 0 0-1.736-1.039 48.774 48.774 0 0 0-5.232 0 2.192 2.192 0 0 0-1.736 1.039l-.821 1.316Z"
|
||||
/>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M16.5 12.75a4.5 4.5 0 1 1-9 0 4.5 4.5 0 0 1 9 0ZM18.75 10.5h.008v.008h-.008V10.5Z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</Tooltip>
|
||||
{/if}
|
||||
</div>
|
||||
<canvas id="camera-canvas" style="display:none;" />
|
||||
|
||||
<div>
|
||||
<div class=" absolute top-4 md:top-8 left-4">
|
||||
<button
|
||||
type="button"
|
||||
class="p-1.5 text-white cursor-pointer backdrop-blur-xl bg-black/10 rounded-full"
|
||||
on:click={() => {
|
||||
if (assistantSpeaking) {
|
||||
stopAllAudio();
|
||||
}
|
||||
stopCamera();
|
||||
}}
|
||||
>
|
||||
<div class=" line-clamp-1 text-sm font-medium">
|
||||
{#if loading}
|
||||
{$i18n.t('Thinking...')}
|
||||
{:else if assistantSpeaking}
|
||||
{$i18n.t('Tap to interrupt')}
|
||||
{:else}
|
||||
{$i18n.t('Listening...')}
|
||||
{/if}
|
||||
</div>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="size-6"
|
||||
>
|
||||
<path
|
||||
d="M5.28 4.22a.75.75 0 0 0-1.06 1.06L6.94 8l-2.72 2.72a.75.75 0 1 0 1.06 1.06L8 9.06l2.72 2.72a.75.75 0 1 0 1.06-1.06L9.06 8l2.72-2.72a.75.75 0 0 0-1.06-1.06L8 6.94 5.28 4.22Z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<button
|
||||
class=" p-3 rounded-full bg-gray-50 dark:bg-gray-900"
|
||||
on:click={async () => {
|
||||
showCallOverlay.set(false);
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
<div class="flex justify-between items-center pb-2 w-full">
|
||||
<div>
|
||||
{#if camera}
|
||||
<VideoInputMenu
|
||||
devices={videoInputDevices}
|
||||
on:change={async (e) => {
|
||||
console.log(e.detail);
|
||||
selectedVideoInputDeviceId = e.detail;
|
||||
await stopVideoStream();
|
||||
await startVideoStream();
|
||||
}}
|
||||
>
|
||||
<button class=" p-3 rounded-full bg-gray-50 dark:bg-gray-900" type="button">
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
@@ -888,12 +856,90 @@
|
||||
class="size-5"
|
||||
>
|
||||
<path
|
||||
d="M6.28 5.22a.75.75 0 0 0-1.06 1.06L8.94 10l-3.72 3.72a.75.75 0 1 0 1.06 1.06L10 11.06l3.72 3.72a.75.75 0 1 0 1.06-1.06L11.06 10l3.72-3.72a.75.75 0 0 0-1.06-1.06L10 8.94 6.28 5.22Z"
|
||||
fill-rule="evenodd"
|
||||
d="M15.312 11.424a5.5 5.5 0 0 1-9.201 2.466l-.312-.311h2.433a.75.75 0 0 0 0-1.5H3.989a.75.75 0 0 0-.75.75v4.242a.75.75 0 0 0 1.5 0v-2.43l.31.31a7 7 0 0 0 11.712-3.138.75.75 0 0 0-1.449-.39Zm1.23-3.723a.75.75 0 0 0 .219-.53V2.929a.75.75 0 0 0-1.5 0V5.36l-.31-.31A7 7 0 0 0 3.239 8.188a.75.75 0 1 0 1.448.389A5.5 5.5 0 0 1 13.89 6.11l.311.31h-2.432a.75.75 0 0 0 0 1.5h4.243a.75.75 0 0 0 .53-.219Z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</VideoInputMenu>
|
||||
{:else}
|
||||
<Tooltip content={$i18n.t('Camera')}>
|
||||
<button
|
||||
class=" p-3 rounded-full bg-gray-50 dark:bg-gray-900"
|
||||
type="button"
|
||||
on:click={async () => {
|
||||
await navigator.mediaDevices.getUserMedia({ video: true });
|
||||
startCamera();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke="currentColor"
|
||||
class="size-5"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M6.827 6.175A2.31 2.31 0 0 1 5.186 7.23c-.38.054-.757.112-1.134.175C2.999 7.58 2.25 8.507 2.25 9.574V18a2.25 2.25 0 0 0 2.25 2.25h15A2.25 2.25 0 0 0 21.75 18V9.574c0-1.067-.75-1.994-1.802-2.169a47.865 47.865 0 0 0-1.134-.175 2.31 2.31 0 0 1-1.64-1.055l-.822-1.316a2.192 2.192 0 0 0-1.736-1.039 48.774 48.774 0 0 0-5.232 0 2.192 2.192 0 0 0-1.736 1.039l-.821 1.316Z"
|
||||
/>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M16.5 12.75a4.5 4.5 0 1 1-9 0 4.5 4.5 0 0 1 9 0ZM18.75 10.5h.008v.008h-.008V10.5Z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</Tooltip>
|
||||
{/if}
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<button
|
||||
type="button"
|
||||
on:click={() => {
|
||||
if (assistantSpeaking) {
|
||||
stopAllAudio();
|
||||
}
|
||||
}}
|
||||
>
|
||||
<div class=" line-clamp-1 text-sm font-medium">
|
||||
{#if loading}
|
||||
{$i18n.t('Thinking...')}
|
||||
{:else if assistantSpeaking}
|
||||
{$i18n.t('Tap to interrupt')}
|
||||
{:else}
|
||||
{$i18n.t('Listening...')}
|
||||
{/if}
|
||||
</div>
|
||||
</div>
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<button
|
||||
class=" p-3 rounded-full bg-gray-50 dark:bg-gray-900"
|
||||
on:click={async () => {
|
||||
stopAudioStream();
|
||||
stopVideoStream();
|
||||
showCallOverlay.set(false);
|
||||
dispatch('close');
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
fill="currentColor"
|
||||
class="size-5"
|
||||
>
|
||||
<path
|
||||
d="M6.28 5.22a.75.75 0 0 0-1.06 1.06L8.94 10l-3.72 3.72a.75.75 0 1 0 1.06 1.06L10 11.06l3.72 3.72a.75.75 0 1 0 1.06-1.06L11.06 10l3.72-3.72a.75.75 0 0 0-1.06-1.06L10 8.94 6.28 5.22Z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -0,0 +1,131 @@
|
||||
<script>
|
||||
import { createEventDispatcher } from 'svelte';
|
||||
import { toast } from 'svelte-sonner';
|
||||
|
||||
const dispatch = createEventDispatcher();
|
||||
|
||||
import Prompts from './Commands/Prompts.svelte';
|
||||
import Documents from './Commands/Documents.svelte';
|
||||
import Models from './Commands/Models.svelte';
|
||||
|
||||
import { removeLastWordFromString } from '$lib/utils';
|
||||
import { uploadWebToVectorDB, uploadYoutubeTranscriptionToVectorDB } from '$lib/apis/rag';
|
||||
|
||||
export let prompt = '';
|
||||
export let files = [];
|
||||
|
||||
let commandElement = null;
|
||||
|
||||
export const selectUp = () => {
|
||||
commandElement?.selectUp();
|
||||
};
|
||||
|
||||
export const selectDown = () => {
|
||||
commandElement?.selectDown();
|
||||
};
|
||||
|
||||
let command = '';
|
||||
$: command = (prompt?.trim() ?? '').split(' ')?.at(-1) ?? '';
|
||||
|
||||
const uploadWeb = async (url) => {
|
||||
console.log(url);
|
||||
|
||||
const doc = {
|
||||
type: 'doc',
|
||||
name: url,
|
||||
collection_name: '',
|
||||
status: false,
|
||||
url: url,
|
||||
error: ''
|
||||
};
|
||||
|
||||
try {
|
||||
files = [...files, doc];
|
||||
const res = await uploadWebToVectorDB(localStorage.token, '', url);
|
||||
|
||||
if (res) {
|
||||
doc.status = 'processed';
|
||||
doc.collection_name = res.collection_name;
|
||||
files = files;
|
||||
}
|
||||
} catch (e) {
|
||||
// Remove the failed doc from the files array
|
||||
files = files.filter((f) => f.name !== url);
|
||||
toast.error(e);
|
||||
}
|
||||
};
|
||||
|
||||
const uploadYoutubeTranscription = async (url) => {
|
||||
console.log(url);
|
||||
|
||||
const doc = {
|
||||
type: 'doc',
|
||||
name: url,
|
||||
collection_name: '',
|
||||
status: false,
|
||||
url: url,
|
||||
error: ''
|
||||
};
|
||||
|
||||
try {
|
||||
files = [...files, doc];
|
||||
const res = await uploadYoutubeTranscriptionToVectorDB(localStorage.token, url);
|
||||
|
||||
if (res) {
|
||||
doc.status = 'processed';
|
||||
doc.collection_name = res.collection_name;
|
||||
files = files;
|
||||
}
|
||||
} catch (e) {
|
||||
// Remove the failed doc from the files array
|
||||
files = files.filter((f) => f.name !== url);
|
||||
toast.error(e);
|
||||
}
|
||||
};
|
||||
</script>
|
||||
|
||||
{#if ['/', '#', '@'].includes(command?.charAt(0))}
|
||||
{#if command?.charAt(0) === '/'}
|
||||
<Prompts bind:this={commandElement} bind:prompt bind:files {command} />
|
||||
{:else if command?.charAt(0) === '#'}
|
||||
<Documents
|
||||
bind:this={commandElement}
|
||||
bind:prompt
|
||||
{command}
|
||||
on:youtube={(e) => {
|
||||
console.log(e);
|
||||
uploadYoutubeTranscription(e.detail);
|
||||
}}
|
||||
on:url={(e) => {
|
||||
console.log(e);
|
||||
uploadWeb(e.detail);
|
||||
}}
|
||||
on:select={(e) => {
|
||||
console.log(e);
|
||||
files = [
|
||||
...files,
|
||||
{
|
||||
type: e?.detail?.type ?? 'file',
|
||||
...e.detail,
|
||||
status: 'processed'
|
||||
}
|
||||
];
|
||||
|
||||
dispatch('select');
|
||||
}}
|
||||
/>
|
||||
{:else if command?.charAt(0) === '@'}
|
||||
<Models
|
||||
bind:this={commandElement}
|
||||
{command}
|
||||
on:select={(e) => {
|
||||
prompt = removeLastWordFromString(prompt, command);
|
||||
|
||||
dispatch('select', {
|
||||
type: 'model',
|
||||
data: e.detail
|
||||
});
|
||||
}}
|
||||
/>
|
||||
{/if}
|
||||
{/if}
|
||||
+15
-11
@@ -2,13 +2,14 @@
|
||||
import { createEventDispatcher } from 'svelte';
|
||||
|
||||
import { documents } from '$lib/stores';
|
||||
import { removeFirstHashWord, isValidHttpUrl } from '$lib/utils';
|
||||
import { removeLastWordFromString, isValidHttpUrl } from '$lib/utils';
|
||||
import { tick, getContext } from 'svelte';
|
||||
import { toast } from 'svelte-sonner';
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
export let prompt = '';
|
||||
export let command = '';
|
||||
|
||||
const dispatch = createEventDispatcher();
|
||||
let selectedIdx = 0;
|
||||
@@ -27,7 +28,7 @@
|
||||
title: $i18n.t('All Documents'),
|
||||
collection_names: $documents.map((doc) => doc.collection_name)
|
||||
}
|
||||
]
|
||||
]
|
||||
: []),
|
||||
...$documents
|
||||
.reduce((a, e, i, arr) => {
|
||||
@@ -43,16 +44,16 @@
|
||||
];
|
||||
|
||||
$: filteredCollections = collections
|
||||
.filter((collection) => findByName(collection, prompt))
|
||||
.filter((collection) => findByName(collection, command))
|
||||
.sort((a, b) => a.name.localeCompare(b.name));
|
||||
|
||||
$: filteredDocs = $documents
|
||||
.filter((doc) => findByName(doc, prompt))
|
||||
.filter((doc) => findByName(doc, command))
|
||||
.sort((a, b) => a.title.localeCompare(b.title));
|
||||
|
||||
$: filteredItems = [...filteredCollections, ...filteredDocs];
|
||||
|
||||
$: if (prompt) {
|
||||
$: if (command) {
|
||||
selectedIdx = 0;
|
||||
|
||||
console.log(filteredCollections);
|
||||
@@ -62,9 +63,9 @@
|
||||
name: string;
|
||||
};
|
||||
|
||||
const findByName = (obj: ObjectWithName, prompt: string) => {
|
||||
const findByName = (obj: ObjectWithName, command: string) => {
|
||||
const name = obj.name.toLowerCase();
|
||||
return name.includes(prompt.toLowerCase().split(' ')?.at(0)?.substring(1) ?? '');
|
||||
return name.includes(command.toLowerCase().split(' ')?.at(0)?.substring(1) ?? '');
|
||||
};
|
||||
|
||||
export const selectUp = () => {
|
||||
@@ -78,7 +79,7 @@
|
||||
const confirmSelect = async (doc) => {
|
||||
dispatch('select', doc);
|
||||
|
||||
prompt = removeFirstHashWord(prompt);
|
||||
prompt = removeLastWordFromString(prompt, command);
|
||||
const chatInputElement = document.getElementById('chat-textarea');
|
||||
|
||||
await tick();
|
||||
@@ -89,7 +90,7 @@
|
||||
const confirmSelectWeb = async (url) => {
|
||||
dispatch('url', url);
|
||||
|
||||
prompt = removeFirstHashWord(prompt);
|
||||
prompt = removeLastWordFromString(prompt, command);
|
||||
const chatInputElement = document.getElementById('chat-textarea');
|
||||
|
||||
await tick();
|
||||
@@ -100,7 +101,7 @@
|
||||
const confirmSelectYoutube = async (url) => {
|
||||
dispatch('youtube', url);
|
||||
|
||||
prompt = removeFirstHashWord(prompt);
|
||||
prompt = removeLastWordFromString(prompt, command);
|
||||
const chatInputElement = document.getElementById('chat-textarea');
|
||||
|
||||
await tick();
|
||||
@@ -110,7 +111,10 @@
|
||||
</script>
|
||||
|
||||
{#if filteredItems.length > 0 || prompt.split(' ')?.at(0)?.substring(1).startsWith('http')}
|
||||
<div class="pl-1 pr-12 mb-3 text-left w-full absolute bottom-0 left-0 right-0 z-10">
|
||||
<div
|
||||
id="commands-container"
|
||||
class="pl-1 pr-12 mb-3 text-left w-full absolute bottom-0 left-0 right-0 z-10"
|
||||
>
|
||||
<div class="flex w-full dark:border dark:border-gray-850 rounded-lg">
|
||||
<div class=" bg-gray-50 dark:bg-gray-850 w-10 rounded-l-lg text-center">
|
||||
<div class=" text-lg font-semibold mt-2">#</div>
|
||||
@@ -0,0 +1,90 @@
|
||||
<script lang="ts">
|
||||
import { createEventDispatcher, onMount } from 'svelte';
|
||||
import { tick, getContext } from 'svelte';
|
||||
|
||||
import { models } from '$lib/stores';
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
const dispatch = createEventDispatcher();
|
||||
|
||||
export let command = '';
|
||||
|
||||
let selectedIdx = 0;
|
||||
let filteredModels = [];
|
||||
|
||||
$: filteredModels = $models
|
||||
.filter((p) =>
|
||||
p.name.toLowerCase().includes(command.toLowerCase().split(' ')?.at(0)?.substring(1) ?? '')
|
||||
)
|
||||
.sort((a, b) => a.name.localeCompare(b.name));
|
||||
|
||||
$: if (command) {
|
||||
selectedIdx = 0;
|
||||
}
|
||||
|
||||
export const selectUp = () => {
|
||||
selectedIdx = Math.max(0, selectedIdx - 1);
|
||||
};
|
||||
|
||||
export const selectDown = () => {
|
||||
selectedIdx = Math.min(selectedIdx + 1, filteredModels.length - 1);
|
||||
};
|
||||
|
||||
const confirmSelect = async (model) => {
|
||||
command = '';
|
||||
dispatch('select', model);
|
||||
};
|
||||
|
||||
onMount(async () => {
|
||||
await tick();
|
||||
const chatInputElement = document.getElementById('chat-textarea');
|
||||
await tick();
|
||||
chatInputElement?.focus();
|
||||
await tick();
|
||||
});
|
||||
</script>
|
||||
|
||||
{#if filteredModels.length > 0}
|
||||
<div
|
||||
id="commands-container"
|
||||
class="pl-1 pr-12 mb-3 text-left w-full absolute bottom-0 left-0 right-0 z-10"
|
||||
>
|
||||
<div class="flex w-full dark:border dark:border-gray-850 rounded-lg">
|
||||
<div class=" bg-gray-50 dark:bg-gray-850 w-10 rounded-l-lg text-center">
|
||||
<div class=" text-lg font-semibold mt-2">@</div>
|
||||
</div>
|
||||
|
||||
<div
|
||||
class="max-h-60 flex flex-col w-full rounded-r-lg bg-white dark:bg-gray-900 dark:text-gray-100"
|
||||
>
|
||||
<div class="m-1 overflow-y-auto p-1 rounded-r-lg space-y-0.5 scrollbar-hidden">
|
||||
{#each filteredModels as model, modelIdx}
|
||||
<button
|
||||
class="px-3 py-1.5 rounded-xl w-full text-left {modelIdx === selectedIdx
|
||||
? 'bg-gray-50 dark:bg-gray-850 selected-command-option-button'
|
||||
: ''}"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
confirmSelect(model);
|
||||
}}
|
||||
on:mousemove={() => {
|
||||
selectedIdx = modelIdx;
|
||||
}}
|
||||
on:focus={() => {}}
|
||||
>
|
||||
<div class="flex font-medium text-black dark:text-gray-100 line-clamp-1">
|
||||
<img
|
||||
src={model?.info?.meta?.profile_image_url ?? '/static/favicon.png'}
|
||||
alt={model?.name ?? model.id}
|
||||
class="rounded-full size-6 items-center mr-2"
|
||||
/>
|
||||
{model.name}
|
||||
</div>
|
||||
</button>
|
||||
{/each}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
+24
-19
@@ -7,27 +7,30 @@
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
export let files;
|
||||
export let prompt = '';
|
||||
let selectedCommandIdx = 0;
|
||||
let filteredPromptCommands = [];
|
||||
|
||||
$: filteredPromptCommands = $prompts
|
||||
.filter((p) => p.command.toLowerCase().includes(prompt.toLowerCase()))
|
||||
export let prompt = '';
|
||||
export let command = '';
|
||||
|
||||
let selectedPromptIdx = 0;
|
||||
let filteredPrompts = [];
|
||||
|
||||
$: filteredPrompts = $prompts
|
||||
.filter((p) => p.command.toLowerCase().includes(command.toLowerCase()))
|
||||
.sort((a, b) => a.title.localeCompare(b.title));
|
||||
|
||||
$: if (prompt) {
|
||||
selectedCommandIdx = 0;
|
||||
$: if (command) {
|
||||
selectedPromptIdx = 0;
|
||||
}
|
||||
|
||||
export const selectUp = () => {
|
||||
selectedCommandIdx = Math.max(0, selectedCommandIdx - 1);
|
||||
selectedPromptIdx = Math.max(0, selectedPromptIdx - 1);
|
||||
};
|
||||
|
||||
export const selectDown = () => {
|
||||
selectedCommandIdx = Math.min(selectedCommandIdx + 1, filteredPromptCommands.length - 1);
|
||||
selectedPromptIdx = Math.min(selectedPromptIdx + 1, filteredPrompts.length - 1);
|
||||
};
|
||||
|
||||
const confirmCommand = async (command) => {
|
||||
const confirmPrompt = async (command) => {
|
||||
let text = command.content;
|
||||
|
||||
if (command.content.includes('{{CLIPBOARD}}')) {
|
||||
@@ -79,7 +82,6 @@
|
||||
await tick();
|
||||
|
||||
const words = findWordIndices(prompt);
|
||||
|
||||
if (words.length > 0) {
|
||||
const word = words.at(0);
|
||||
chatInputElement.setSelectionRange(word?.startIndex, word.endIndex + 1);
|
||||
@@ -87,8 +89,11 @@
|
||||
};
|
||||
</script>
|
||||
|
||||
{#if filteredPromptCommands.length > 0}
|
||||
<div class="pl-1 pr-12 mb-3 text-left w-full absolute bottom-0 left-0 right-0 z-10">
|
||||
{#if filteredPrompts.length > 0}
|
||||
<div
|
||||
id="commands-container"
|
||||
class="pl-1 pr-12 mb-3 text-left w-full absolute bottom-0 left-0 right-0 z-10"
|
||||
>
|
||||
<div class="flex w-full dark:border dark:border-gray-850 rounded-lg">
|
||||
<div class=" bg-gray-50 dark:bg-gray-850 w-10 rounded-l-lg text-center">
|
||||
<div class=" text-lg font-semibold mt-2">/</div>
|
||||
@@ -98,26 +103,26 @@
|
||||
class="max-h-60 flex flex-col w-full rounded-r-lg bg-white dark:bg-gray-900 dark:text-gray-100"
|
||||
>
|
||||
<div class="m-1 overflow-y-auto p-1 rounded-r-lg space-y-0.5 scrollbar-hidden">
|
||||
{#each filteredPromptCommands as command, commandIdx}
|
||||
{#each filteredPrompts as prompt, promptIdx}
|
||||
<button
|
||||
class=" px-3 py-1.5 rounded-xl w-full text-left {commandIdx === selectedCommandIdx
|
||||
class=" px-3 py-1.5 rounded-xl w-full text-left {promptIdx === selectedPromptIdx
|
||||
? ' bg-gray-50 dark:bg-gray-850 selected-command-option-button'
|
||||
: ''}"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
confirmCommand(command);
|
||||
confirmPrompt(prompt);
|
||||
}}
|
||||
on:mousemove={() => {
|
||||
selectedCommandIdx = commandIdx;
|
||||
selectedPromptIdx = promptIdx;
|
||||
}}
|
||||
on:focus={() => {}}
|
||||
>
|
||||
<div class=" font-medium text-black dark:text-gray-100">
|
||||
{command.command}
|
||||
{prompt.command}
|
||||
</div>
|
||||
|
||||
<div class=" text-xs text-gray-600 dark:text-gray-100">
|
||||
{command.title}
|
||||
{prompt.title}
|
||||
</div>
|
||||
</button>
|
||||
{/each}
|
||||
@@ -1,181 +0,0 @@
|
||||
<script lang="ts">
|
||||
import { createEventDispatcher } from 'svelte';
|
||||
|
||||
import { generatePrompt } from '$lib/apis/ollama';
|
||||
import { models } from '$lib/stores';
|
||||
import { splitStream } from '$lib/utils';
|
||||
import { tick, getContext } from 'svelte';
|
||||
import { toast } from 'svelte-sonner';
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
const dispatch = createEventDispatcher();
|
||||
|
||||
export let prompt = '';
|
||||
export let user = null;
|
||||
|
||||
export let chatInputPlaceholder = '';
|
||||
export let messages = [];
|
||||
|
||||
let selectedIdx = 0;
|
||||
let filteredModels = [];
|
||||
|
||||
$: filteredModels = $models
|
||||
.filter((p) =>
|
||||
p.name.toLowerCase().includes(prompt.toLowerCase().split(' ')?.at(0)?.substring(1) ?? '')
|
||||
)
|
||||
.sort((a, b) => a.name.localeCompare(b.name));
|
||||
|
||||
$: if (prompt) {
|
||||
selectedIdx = 0;
|
||||
}
|
||||
|
||||
export const selectUp = () => {
|
||||
selectedIdx = Math.max(0, selectedIdx - 1);
|
||||
};
|
||||
|
||||
export const selectDown = () => {
|
||||
selectedIdx = Math.min(selectedIdx + 1, filteredModels.length - 1);
|
||||
};
|
||||
|
||||
const confirmSelect = async (model) => {
|
||||
prompt = '';
|
||||
dispatch('select', model);
|
||||
};
|
||||
|
||||
const confirmSelectCollaborativeChat = async (model) => {
|
||||
// dispatch('select', model);
|
||||
prompt = '';
|
||||
user = JSON.parse(JSON.stringify(model.name));
|
||||
await tick();
|
||||
|
||||
chatInputPlaceholder = $i18n.t('{{modelName}} is thinking...', { modelName: model.name });
|
||||
|
||||
const chatInputElement = document.getElementById('chat-textarea');
|
||||
|
||||
await tick();
|
||||
chatInputElement?.focus();
|
||||
await tick();
|
||||
|
||||
const convoText = messages.reduce((a, message, i, arr) => {
|
||||
return `${a}### ${message.role.toUpperCase()}\n${message.content}\n\n`;
|
||||
}, '');
|
||||
|
||||
const res = await generatePrompt(localStorage.token, model.name, convoText);
|
||||
|
||||
if (res && res.ok) {
|
||||
const reader = res.body
|
||||
.pipeThrough(new TextDecoderStream())
|
||||
.pipeThrough(splitStream('\n'))
|
||||
.getReader();
|
||||
|
||||
while (true) {
|
||||
const { value, done } = await reader.read();
|
||||
if (done) {
|
||||
break;
|
||||
}
|
||||
|
||||
try {
|
||||
let lines = value.split('\n');
|
||||
|
||||
for (const line of lines) {
|
||||
if (line !== '') {
|
||||
console.log(line);
|
||||
let data = JSON.parse(line);
|
||||
|
||||
if ('detail' in data) {
|
||||
throw data;
|
||||
}
|
||||
|
||||
if ('id' in data) {
|
||||
console.log(data);
|
||||
} else {
|
||||
if (data.done == false) {
|
||||
if (prompt == '' && data.response == '\n') {
|
||||
continue;
|
||||
} else {
|
||||
prompt += data.response;
|
||||
console.log(data.response);
|
||||
chatInputElement.scrollTop = chatInputElement.scrollHeight;
|
||||
await tick();
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
if ('detail' in error) {
|
||||
toast.error(error.detail);
|
||||
}
|
||||
break;
|
||||
}
|
||||
}
|
||||
} else {
|
||||
if (res !== null) {
|
||||
const error = await res.json();
|
||||
console.log(error);
|
||||
if ('detail' in error) {
|
||||
toast.error(error.detail);
|
||||
} else {
|
||||
toast.error(error.error);
|
||||
}
|
||||
} else {
|
||||
toast.error(
|
||||
$i18n.t('Uh-oh! There was an issue connecting to {{provider}}.', { provider: 'llama' })
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
chatInputPlaceholder = '';
|
||||
|
||||
console.log(user);
|
||||
};
|
||||
</script>
|
||||
|
||||
{#if prompt.charAt(0) === '@'}
|
||||
{#if filteredModels.length > 0}
|
||||
<div class="pl-1 pr-12 mb-3 text-left w-full absolute bottom-0 left-0 right-0 z-10">
|
||||
<div class="flex w-full dark:border dark:border-gray-850 rounded-lg">
|
||||
<div class=" bg-gray-50 dark:bg-gray-850 w-10 rounded-l-lg text-center">
|
||||
<div class=" text-lg font-semibold mt-2">@</div>
|
||||
</div>
|
||||
|
||||
<div
|
||||
class="max-h-60 flex flex-col w-full rounded-r-lg bg-white dark:bg-gray-900 dark:text-gray-100"
|
||||
>
|
||||
<div class="m-1 overflow-y-auto p-1 rounded-r-lg space-y-0.5 scrollbar-hidden">
|
||||
{#each filteredModels as model, modelIdx}
|
||||
<button
|
||||
class="px-3 py-1.5 rounded-xl w-full text-left {modelIdx === selectedIdx
|
||||
? 'bg-gray-50 dark:bg-gray-850 selected-command-option-button'
|
||||
: ''}"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
confirmSelect(model);
|
||||
}}
|
||||
on:mousemove={() => {
|
||||
selectedIdx = modelIdx;
|
||||
}}
|
||||
on:focus={() => {}}
|
||||
>
|
||||
<div class="flex font-medium text-black dark:text-gray-100 line-clamp-1">
|
||||
<img
|
||||
src={model?.info?.meta?.profile_image_url ?? '/static/favicon.png'}
|
||||
alt={model?.name ?? model.id}
|
||||
class="rounded-full size-6 items-center mr-2"
|
||||
/>
|
||||
{model.name}
|
||||
</div>
|
||||
|
||||
<!-- <div class=" text-xs text-gray-600 line-clamp-1">
|
||||
{doc.title}
|
||||
</div> -->
|
||||
</button>
|
||||
{/each}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
{/if}
|
||||
@@ -5,15 +5,12 @@
|
||||
|
||||
import { toast } from 'svelte-sonner';
|
||||
import { getChatList, updateChatById } from '$lib/apis/chats';
|
||||
import { copyToClipboard, findWordIndices } from '$lib/utils';
|
||||
|
||||
import UserMessage from './Messages/UserMessage.svelte';
|
||||
import ResponseMessage from './Messages/ResponseMessage.svelte';
|
||||
import Placeholder from './Messages/Placeholder.svelte';
|
||||
import Spinner from '../common/Spinner.svelte';
|
||||
import { imageGenerations } from '$lib/apis/images';
|
||||
import { copyToClipboard, findWordIndices } from '$lib/utils';
|
||||
import CompareMessages from './Messages/CompareMessages.svelte';
|
||||
import { stringify } from 'postcss';
|
||||
import MultiResponseMessages from './Messages/MultiResponseMessages.svelte';
|
||||
|
||||
const i18n = getContext('i18n');
|
||||
|
||||
@@ -22,6 +19,7 @@
|
||||
export let sendPrompt: Function;
|
||||
export let continueGeneration: Function;
|
||||
export let regenerateResponse: Function;
|
||||
export let mergeResponses: Function;
|
||||
export let chatActionHandler: Function;
|
||||
|
||||
export let user = $_user;
|
||||
@@ -53,34 +51,43 @@
|
||||
}
|
||||
};
|
||||
|
||||
const confirmEditMessage = async (messageId, content) => {
|
||||
let userPrompt = content;
|
||||
let userMessageId = uuidv4();
|
||||
const confirmEditMessage = async (messageId, content, submit = true) => {
|
||||
if (submit) {
|
||||
let userPrompt = content;
|
||||
let userMessageId = uuidv4();
|
||||
|
||||
let userMessage = {
|
||||
id: userMessageId,
|
||||
parentId: history.messages[messageId].parentId,
|
||||
childrenIds: [],
|
||||
role: 'user',
|
||||
content: userPrompt,
|
||||
...(history.messages[messageId].files && { files: history.messages[messageId].files }),
|
||||
models: selectedModels.filter((m, mIdx) => selectedModels.indexOf(m) === mIdx)
|
||||
};
|
||||
let userMessage = {
|
||||
id: userMessageId,
|
||||
parentId: history.messages[messageId].parentId,
|
||||
childrenIds: [],
|
||||
role: 'user',
|
||||
content: userPrompt,
|
||||
...(history.messages[messageId].files && { files: history.messages[messageId].files }),
|
||||
models: selectedModels
|
||||
};
|
||||
|
||||
let messageParentId = history.messages[messageId].parentId;
|
||||
let messageParentId = history.messages[messageId].parentId;
|
||||
|
||||
if (messageParentId !== null) {
|
||||
history.messages[messageParentId].childrenIds = [
|
||||
...history.messages[messageParentId].childrenIds,
|
||||
userMessageId
|
||||
];
|
||||
if (messageParentId !== null) {
|
||||
history.messages[messageParentId].childrenIds = [
|
||||
...history.messages[messageParentId].childrenIds,
|
||||
userMessageId
|
||||
];
|
||||
}
|
||||
|
||||
history.messages[userMessageId] = userMessage;
|
||||
history.currentId = userMessageId;
|
||||
|
||||
await tick();
|
||||
await sendPrompt(userPrompt, userMessageId);
|
||||
} else {
|
||||
history.messages[messageId].content = content;
|
||||
await tick();
|
||||
await updateChatById(localStorage.token, chatId, {
|
||||
messages: messages,
|
||||
history: history
|
||||
});
|
||||
}
|
||||
|
||||
history.messages[userMessageId] = userMessage;
|
||||
history.currentId = userMessageId;
|
||||
|
||||
await tick();
|
||||
await sendPrompt(userPrompt, userMessageId);
|
||||
};
|
||||
|
||||
const updateChatMessages = async () => {
|
||||
@@ -305,7 +312,7 @@
|
||||
{#each messages as message, messageIdx}
|
||||
<div class=" w-full {messageIdx === messages.length - 1 ? ' pb-12' : ''}">
|
||||
<div
|
||||
class="flex flex-col justify-between px-5 mb-3 {$settings?.widescreenMode ?? null
|
||||
class="flex flex-col justify-between px-5 mb-3 {($settings?.widescreenMode ?? null)
|
||||
? 'max-w-full'
|
||||
: 'max-w-5xl'} mx-auto rounded-lg group"
|
||||
>
|
||||
@@ -317,16 +324,16 @@
|
||||
{message}
|
||||
isFirstMessage={messageIdx === 0}
|
||||
siblings={message.parentId !== null
|
||||
? history.messages[message.parentId]?.childrenIds ?? []
|
||||
: Object.values(history.messages)
|
||||
? (history.messages[message.parentId]?.childrenIds ?? [])
|
||||
: (Object.values(history.messages)
|
||||
.filter((message) => message.parentId === null)
|
||||
.map((message) => message.id) ?? []}
|
||||
.map((message) => message.id) ?? [])}
|
||||
{confirmEditMessage}
|
||||
{showPreviousMessage}
|
||||
{showNextMessage}
|
||||
copyToClipboard={copyToClipboardWithToast}
|
||||
/>
|
||||
{:else if $mobile || (history.messages[message.parentId]?.models?.length ?? 1) === 1}
|
||||
{:else if (history.messages[message.parentId]?.models?.length ?? 1) === 1}
|
||||
{#key message.id && history.currentId}
|
||||
<ResponseMessage
|
||||
{message}
|
||||
@@ -342,7 +349,13 @@
|
||||
{continueGeneration}
|
||||
{regenerateResponse}
|
||||
on:action={async (e) => {
|
||||
await chatActionHandler(chatId, e.detail, message.model, message.id);
|
||||
console.log('action', e);
|
||||
if (typeof e.detail === 'string') {
|
||||
await chatActionHandler(chatId, e.detail, message.model, message.id);
|
||||
} else {
|
||||
const { id, event } = e.detail;
|
||||
await chatActionHandler(chatId, id, message.model, message.id, event);
|
||||
}
|
||||
}}
|
||||
on:save={async (e) => {
|
||||
console.log('save', e);
|
||||
@@ -358,8 +371,9 @@
|
||||
{/key}
|
||||
{:else}
|
||||
{#key message.parentId}
|
||||
<CompareMessages
|
||||
<MultiResponseMessages
|
||||
bind:history
|
||||
isLastMessage={messageIdx + 1 === messages.length}
|
||||
{messages}
|
||||
{readOnly}
|
||||
{chatId}
|
||||
@@ -370,7 +384,17 @@
|
||||
{rateMessage}
|
||||
copyToClipboard={copyToClipboardWithToast}
|
||||
{continueGeneration}
|
||||
{mergeResponses}
|
||||
{regenerateResponse}
|
||||
on:action={async (e) => {
|
||||
console.log('action', e);
|
||||
if (typeof e.detail === 'string') {
|
||||
await chatActionHandler(chatId, e.detail, message.model, message.id);
|
||||
} else {
|
||||
const { id, event } = e.detail;
|
||||
await chatActionHandler(chatId, id, message.model, message.id, event);
|
||||
}
|
||||
}}
|
||||
on:change={async () => {
|
||||
await updateChatById(localStorage.token, chatId, {
|
||||
messages: messages,
|
||||
|
||||
@@ -0,0 +1,56 @@
|
||||
<script lang="ts">
|
||||
import CitationsModal from './CitationsModal.svelte';
|
||||
|
||||
export let citations = [];
|
||||
|
||||
let showCitationModal = false;
|
||||
let selectedCitation = null;
|
||||
</script>
|
||||
|
||||
<CitationsModal bind:show={showCitationModal} citation={selectedCitation} />
|
||||
|
||||
<div class="mt-1 mb-2 w-full flex gap-1 items-center flex-wrap">
|
||||
{#each citations.reduce((acc, citation) => {
|
||||
citation.document.forEach((document, index) => {
|
||||
const metadata = citation.metadata?.[index];
|
||||
const id = metadata?.source ?? 'N/A';
|
||||
let source = citation?.source;
|
||||
|
||||
if (metadata?.name) {
|
||||
source = { ...source, name: metadata.name };
|
||||
}
|
||||
|
||||
// Check if ID looks like a URL
|
||||
if (id.startsWith('http://') || id.startsWith('https://')) {
|
||||
source = { name: id };
|
||||
}
|
||||
|
||||
const existingSource = acc.find((item) => item.id === id);
|
||||
|
||||
if (existingSource) {
|
||||
existingSource.document.push(document);
|
||||
existingSource.metadata.push(metadata);
|
||||
} else {
|
||||
acc.push( { id: id, source: source, document: [document], metadata: metadata ? [metadata] : [] } );
|
||||
}
|
||||
});
|
||||
return acc;
|
||||
}, []) as citation, idx}
|
||||
<div class="flex gap-1 text-xs font-semibold">
|
||||
<button
|
||||
class="flex dark:text-gray-300 py-1 px-1 bg-gray-50 hover:bg-gray-100 dark:bg-gray-850 dark:hover:bg-gray-800 transition rounded-xl"
|
||||
on:click={() => {
|
||||
showCitationModal = true;
|
||||
selectedCitation = citation;
|
||||
}}
|
||||
>
|
||||
<div class="bg-white dark:bg-gray-700 rounded-full size-4">
|
||||
{idx + 1}
|
||||
</div>
|
||||
<div class="flex-1 mx-2 line-clamp-1">
|
||||
{citation.source.name}
|
||||
</div>
|
||||
</button>
|
||||
</div>
|
||||
{/each}
|
||||
</div>
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user