app.py

import os
import io
import traceback
import numpy as np
import soundfile as sf
from fastapi import FastAPI, HTTPException
from fastapi.responses import Response
from pydantic import BaseModel
from supertonic import TTS
import uvicorn

app = FastAPI(title="Supertonic TTS API")

# Модели для валидации запросов
class TTSRequest(BaseModel):
    text: str
    lang: str = "ru"
    voice: str = "M2"

# Глобальная загрузка модели
print("Загрузка модели Supertonic TTS...")
tts = TTS(auto_download=True)
default_style = tts.get_voice_style(voice_name="M2")
print("Модель успешно загружена и готова к работе!")

@app.get("/")
async def root():
    return {
        "status": "ok",
        "message": "Supertonic TTS API is running",
        "docs": "/docs",
        "usage": "POST /api/tts с JSON: {'text': 'ваш текст', 'lang': 'ru', 'voice': 'M2'}"
    }

@app.post("/api/tts")
async def synthesize(request: TTSRequest):
    try:
        # Получаем стиль голоса
        if request.voice == "M2":
            style = default_style
        else:
            style = tts.get_voice_style(voice_name=request.voice)

        # Синтез
        wav, duration = tts.synthesize(request.text, voice_style=style, lang=request.lang)

        # Конвертация тензоров в numpy если нужно
        if hasattr(wav, 'cpu'):
            wav = wav.cpu().numpy()
        elif hasattr(wav, 'numpy'):
            wav = wav.numpy()
            
        wav = np.asarray(wav, dtype=np.float32)

        # Получаем sample rate
        sample_rate = getattr(tts, 'sample_rate', 24000)

        # Записываем в память
        out = io.BytesIO()
        sf.write(out, wav, samplerate=sample_rate, format='WAV', subtype='PCM_16')
        audio_bytes = out.getvalue()

        # Возвращаем аудио
        return Response(
            content=audio_bytes,
            media_type='audio/wav',
            headers={
                "Content-Disposition": f"attachment; filename=speech.wav",
                "X-Audio-Duration": str(round(duration, 2))
            }
        )
        
    except Exception as e:
        traceback.print_exc()
        raise HTTPException(status_code=500, detail=f"Ошибка генерации: {str(e)}")

if __name__ == '__main__':
    port = int(os.environ.get('PORT', 7860))
    uvicorn.run(app, host='0.0.0.0', port=port)