from fastapi import FastAPI, HTTPException, Depends, Request | |
import models | |
from transformers import pipeline | |
import uvicorn | |
app = FastAPI() | |
async def detect_lang(text: models.Text): | |
try: | |
pipe(text.text) | |
except Exception as e: | |
raise HTTPException(status_code=400, detail=f'{e}') | |
if __name__ == "__main__": | |
pipe = pipeline("text-classification", model="rifkat/uz_kr_lang-detection") | |
uvicorn.run(app, host="0.0.0.0", port=7860) |