app.py

from fastapi import FastAPI, Response, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from transformers import VitsModel, AutoTokenizer
import torch
import scipy.io.wavfile
import io
import os

app = FastAPI()

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_methods=["*"],
    allow_headers=["*"],
)

# --- CONFIGURATION ---
MODEL_ID = "facebook/mms-tts-fra"

model = None
tokenizer = None

print("⏳ Démarrage du serveur MMS Français...")

def load_model():
    global model, tokenizer
    try:
        if model is not None: return True
        
        print(f"📥 Chargement du modèle {MODEL_ID}...")
        # CPU est suffisant pour MMS (très léger)
        model = VitsModel.from_pretrained(MODEL_ID)
        tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
        
        print("✅ Modèle MMS Français chargé !")
        return True
    except Exception as e:
        print(f"❌ Erreur critique chargement : {e}")
        return False

load_model()

@app.post("/tts")
async def generate_speech(data: dict):
    if model is None:
        if not load_model():
            raise HTTPException(status_code=500, detail="Modèle indisponible")

    text = data.get("text", "")
    if not text:
        raise HTTPException(status_code=400, detail="Texte vide")

    try:
        # 1. Tokenization
        inputs = tokenizer(text, return_tensors="pt")

        # 2. Inférence (Sans gradient = moins de RAM)
        with torch.no_grad():
            output = model(**inputs).waveform

        # 3. Conversion Audio
        audio_array = output.float().numpy().squeeze()
        sample_rate = model.config.sampling_rate

        # 4. Écriture WAV
        buffer = io.BytesIO()
        scipy.io.wavfile.write(buffer, rate=sample_rate, data=audio_array)
        buffer.seek(0)

        return Response(content=buffer.read(), media_type="audio/wav")

    except Exception as e:
        print(f"❌ Erreur génération : {e}")
        return Response(content=str(e), status_code=500)

@app.get("/")
def home():
    return {"status": "MMS French Ready 🇫🇷"}