root 5321c8602e feat: voice-agent MVP — LXC web frontend + Mac AI worker
LXC-Frontend (FastAPI + HTML/JS):
- Audio-Upload (MP3/WAV/M4A/MP4/OGG/FLAC, max. 500 MB)
- SQLite Job-Store, BackgroundTask-Pipeline
- Job-Liste mit Live-Status, Downloads (DOCX + JSON)
- Mac-Health-Indicator im UI

Mac-Worker (FastAPI):
- /api/transcribe (lightning-whisper-mlx | faster-whisper | mock)
- /api/summarize + /api/protocol via Ollama (llama3.1:8b)
- /api/export/docx via python-docx

Deploy:
- systemd-Service, Nginx Reverse-Proxy
- deploy/install.sh: idempotentes LXC-Setup

Doku: README.md, lxc-frontend/README.md, mac-worker/README.md
2026-05-13 15:33:53 +00:00

87 lines
2.6 KiB
Python

import logging
import secrets
from pathlib import Path
from fastapi import FastAPI, File, Form, HTTPException, UploadFile
from fastapi.responses import Response
from pydantic import BaseModel
from app.core import ollama_client
from app.core.config import settings
from app.core.docx_export import build_docx
from app.core.whisper_engine import engine as whisper
logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(name)s: %(message)s")
log = logging.getLogger("mac-worker")
app = FastAPI(title="Voice-Agent Mac-Worker")
class SummarizeIn(BaseModel):
transcript: str
title: str = ""
class ProtocolIn(BaseModel):
transcript: str
summary: dict
title: str = ""
@app.get("/health")
async def health():
info = {
"status": "ok",
"whisper_engine": settings.whisper_engine,
"whisper_model": settings.whisper_model,
"ollama_model": settings.ollama_model,
"ollama_reachable": False,
}
try:
await ollama_client.health()
info["ollama_reachable"] = True
except Exception as e: # noqa: BLE001
info["ollama_error"] = str(e)
return info
@app.post("/api/transcribe")
async def transcribe(audio: UploadFile = File(...), language: str = Form("de")):
if not audio.filename:
raise HTTPException(400, "Dateiname fehlt")
suffix = Path(audio.filename).suffix or ".bin"
tmp = settings.work_dir / (secrets.token_hex(8) + suffix)
try:
with tmp.open("wb") as f:
while chunk := await audio.read(1024 * 1024):
f.write(chunk)
log.info("Transcribing %s (%.1f MB) lang=%s", audio.filename, tmp.stat().st_size / 1024 / 1024, language)
result = whisper.transcribe(tmp, language=language)
return result
finally:
tmp.unlink(missing_ok=True)
@app.post("/api/summarize")
async def summarize(payload: SummarizeIn):
if not payload.transcript.strip():
raise HTTPException(400, "Leerer Transkript")
return await ollama_client.summarize(payload.transcript, title=payload.title)
@app.post("/api/protocol")
async def protocol(payload: ProtocolIn):
if not payload.transcript.strip():
raise HTTPException(400, "Leerer Transkript")
return await ollama_client.make_protocol(payload.transcript, payload.summary, title=payload.title)
@app.post("/api/export/docx")
async def export_docx(protocol: dict):
data = build_docx(protocol)
return Response(
content=data,
media_type="application/vnd.openxmlformats-officedocument.wordprocessingml.document",
headers={"Content-Disposition": 'attachment; filename="protocol.docx"'},
)