12d99d3609
Embedding:
- Embedding model now configurable via Admin UI (More tab) or LITELLM_EMBEDDING_MODEL env
- Calls LiteLLM proxy directly via httpx (bypasses LiteLLM library param validation)
- Passes dimensions=1024 to proxy; Redis setting overrides env var
- Default model: ge-gemini-embedding-001 (Gemini AI Studio, 1024-dim)
- Test button in admin UI to verify model works
- Fixed vector_service to use httpx + Redis model (was broken with non-prefixed model names)
Polly:
- Global enable/disable toggle in Admin → More settings (stored in Redis)
- /tts/voices filters out polly/* when disabled
- /tts/speak rejects polly requests when disabled
Job cancellation:
- POST /quizzes/job/{job_id}/cancel endpoint
- Cancel button on JobsPage for running jobs
- Celery task checks Redis status at each chunk boundary and exits cleanly
- Fixes DB lock on restart caused by cancelled jobs leaving open transactions
Admin UI:
- Settings tab renamed to "More" (heading: More Settings)
- Model row overflow fixed (minWidth: 0 + ellipsis on model_id)
- Embedding model search shows all proxy models (no auto-filter by "embed")
- Navbar correctly excludes cancelled/failed jobs from "extracting" count
README:
- Added Rebuild & Restart section with commands
- Updated embedding model reference
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
78 lines
2.7 KiB
Python
78 lines
2.7 KiB
Python
from fastapi import APIRouter, Depends, HTTPException
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from fastapi.responses import Response
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from pydantic import BaseModel
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from sqlalchemy.orm import Session
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from app.config import settings
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from app.database import get_db
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from app.models.user import User
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from app.models.ai_model_config import AIModelConfig
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from app.services import ai_service
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from app.utils.auth import get_current_user
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router = APIRouter()
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class TTSRequest(BaseModel):
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text: str
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voice: str | None = None # model_id override
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def _polly_enabled() -> bool:
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try:
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import redis as redis_lib
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r = redis_lib.from_url(settings.REDIS_URL, decode_responses=True)
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val = r.get("settings:polly_enabled")
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return val != "false"
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except Exception:
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return True
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@router.get("/voices")
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def get_voices(
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user),
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):
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"""Return available TTS voices from DB, excluding Polly if disabled."""
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query = db.query(AIModelConfig).filter(
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AIModelConfig.task == "tts",
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AIModelConfig.is_active == True,
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)
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if not _polly_enabled():
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query = query.filter(~AIModelConfig.model_id.like("polly/%"))
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db_models = query.order_by(AIModelConfig.is_default.desc(), AIModelConfig.name).all()
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return [{"id": m.model_id, "name": m.name, "is_default": m.is_default} for m in db_models]
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@router.post("/speak")
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def text_to_speech(
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request: TTSRequest,
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user),
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):
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"""Convert text to speech using configured or user-selected TTS model."""
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if not request.text.strip():
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raise HTTPException(status_code=400, detail="Text cannot be empty")
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text = request.text[:2000]
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if request.voice:
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if request.voice.startswith("polly/") and not _polly_enabled():
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raise HTTPException(status_code=400, detail="AWS Polly is currently disabled")
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config = db.query(AIModelConfig).filter(AIModelConfig.model_id == request.voice).first()
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model_id = config.model_id if config else request.voice
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api_key = config.api_key if (config and config.api_key) else None
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else:
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config = db.query(AIModelConfig).filter(
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AIModelConfig.task == "tts",
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AIModelConfig.is_active == True,
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AIModelConfig.is_default == True,
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).first()
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model_id = config.model_id if config else "tts-1:alloy"
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api_key = config.api_key if (config and config.api_key) else None
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audio = ai_service.generate_tts_audio(text, model_id=model_id, api_key=api_key)
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if audio is None:
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raise HTTPException(status_code=500, detail="TTS generation failed. Check model configuration.")
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return Response(content=audio, media_type="audio/mpeg")
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