app.py

from fastapi import FastAPI
import uvicorn
from sentence_transformers import SentenceTransformer

model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')

app = FastAPI()

@app.post('/tts')
async def transcribe(text: str):
    embeddings = model.encode([text], vad_filter=True)
    return embeddings[0]


if __name__ == '__main__':
    uvicorn.run('app:app', host='0.0.0.0', port=7860)