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| import os
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| import uuid
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| from fastapi import FastAPI, UploadFile, File, Form, Depends, Header, HTTPException, APIRouter
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| from fastapi.middleware.cors import CORSMiddleware
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| from fastapi.responses import JSONResponse
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| from typing import Optional
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| from models_job import JobCreate, JobStatus, JobResult
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| from queue_manager import job_store, job_queue, start_worker, UPLOAD_DIR
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| from worker import process_job
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| from pydantic import BaseModel
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| import subprocess
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| import tempfile
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| import base64
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| import requests
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| API_SHARED_TOKEN = os.environ.get("API_SHARED_TOKEN")
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| UI_SPACE_URL = os.environ.get("UI_SPACE_URL")
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| router = APIRouter()
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| HF_TOKEN = os.getenv("HF_TOKEN", "")
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| MATXA_TTS_URL = os.getenv("MATXA_TTS_URL", "").strip()
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| INFERENCE_URL = "https://api-inference.huggingface.co/models/projecte-aina/matxa-alvocat"
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|
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| class TTSRequest(BaseModel):
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| text: str
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| @router.post("/tts/matxa")
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| def tts_matxa(req: TTSRequest):
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| text = (req.text or "").strip()
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| if not text:
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| raise HTTPException(status_code=400, detail="Empty text")
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|
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| try:
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| if MATXA_TTS_URL:
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| headers = {}
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| if HF_TOKEN:
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| headers["Authorization"] = f"Bearer {HF_TOKEN}"
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| resp = requests.post(
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| MATXA_TTS_URL,
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| headers=headers,
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| json={"text": text},
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| timeout=60,
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| )
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| if resp.status_code != 200:
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| raise HTTPException(status_code=502, detail=f"Space TTS error: {resp.text}")
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|
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| if resp.headers.get("content-type", "").startswith("audio/"):
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| audio_bytes = resp.content
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| b64 = base64.b64encode(audio_bytes).decode("utf-8")
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| return {"mp3_data_url": f"data:audio/mpeg;base64,{b64}"}
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| else:
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| data = resp.json()
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| if "audio" in data and isinstance(data["audio"], str) and data["audio"].startswith("data:audio"):
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| return {"mp3_data_url": data["audio"]}
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| elif "audio_b64" in data:
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| audio_bytes = base64.b64decode(data["audio_b64"])
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| b64 = base64.b64encode(audio_bytes).decode("utf-8")
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| return {"mp3_data_url": f"data:audio/mpeg;base64,{b64}"}
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| else:
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| audio_bytes = data.get("bytes")
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| if isinstance(audio_bytes, str):
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| audio_bytes = base64.b64decode(audio_bytes)
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| b64 = base64.b64encode(audio_bytes).decode("utf-8")
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| return {"mp3_data_url": f"data:audio/mpeg;base64,{b64}"}
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|
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| else:
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| if not HF_TOKEN:
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| raise HTTPException(status_code=500, detail="HF_TOKEN not set")
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| headers = {
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| "Authorization": f"Bearer {HF_TOKEN}",
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| "Accept": "audio/mpeg",
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| }
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| resp = requests.post(
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| INFERENCE_URL,
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| headers=headers,
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| json={"inputs": text},
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| timeout=60,
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| )
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| if resp.status_code != 200:
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| raise HTTPException(status_code=502, detail=f"Inference API error: {resp.text}")
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|
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| audio_bytes = resp.content
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| b64 = base64.b64encode(audio_bytes).decode("utf-8")
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| return {"mp3_data_url": f"data:audio/mpeg;base64,{b64}"}
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|
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| except HTTPException:
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| raise
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| except Exception as e:
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| raise HTTPException(status_code=500, detail=str(e))
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| app = FastAPI(title="Veureu AD – API Space")
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| app.add_middleware(
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| CORSMiddleware,
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| allow_origins=[UI_SPACE_URL] if UI_SPACE_URL else ["*"],
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| allow_credentials=False,
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| allow_methods=["*"],
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| allow_headers=["*"],
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| )
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| start_worker(process_job)
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| def check_auth(authorization: Optional[str] = Header(None)):
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| if not API_SHARED_TOKEN:
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| return True
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| if not authorization or not authorization.startswith("Bearer "):
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| raise HTTPException(401, "Missing token")
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| if authorization.split(" ", 1)[1] != API_SHARED_TOKEN:
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| raise HTTPException(403, "Invalid token")
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| return True
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| @app.get("/")
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| def read_root():
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| return {"message": "Hello World"}
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|
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| @app.post("/jobs")
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| async def create_job(
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| mode: str = Form(default="both"),
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| video_file: Optional[UploadFile] = File(default=None),
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| video_url: Optional[str] = Form(default=None),
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| _auth=Depends(check_auth),
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| ):
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| if not video_file and not video_url:
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| raise HTTPException(400, "Debe enviarse un 'video_file' o un 'video_url'.")
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| job_id = str(uuid.uuid4())
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| local_path = None
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| if video_file:
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| os.makedirs(UPLOAD_DIR, exist_ok=True)
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| save_path = os.path.join(UPLOAD_DIR, f"{job_id}_{video_file.filename}")
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| with open(save_path, "wb") as f:
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| f.write(await video_file.read())
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| local_path = save_path
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| st = JobStatus(job_id=job_id, status="queued", progress=0, message="En cola")
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| job_store.set_status(job_id, st)
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| job_queue.put({"job_id": job_id, "mode": mode, "local_path": local_path, "video_url": video_url})
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| return {"job_id": job_id}
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|
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| @app.get("/jobs/{job_id}/status", response_model=JobStatus)
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| def get_status(job_id: str, _auth=Depends(check_auth)):
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| st = job_store.get_status(job_id)
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| if not st:
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| raise HTTPException(404, "Job no encontrado")
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| return st
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|
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| @app.get("/jobs/{job_id}/result", response_model=JobResult)
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| def get_result(job_id: str, _auth=Depends(check_auth)):
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| res = job_store.get_result(job_id)
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| if not res:
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| st = job_store.get_status(job_id)
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| if st and st.status != "completed":
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| raise HTTPException(409, "El job no ha terminado")
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| raise HTTPException(404, "Resultado no encontrado")
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| return res
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| app.include_router(router)
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