app.py

from fastapi import FastAPI
from pydantic import BaseModel # для автоматического разбора
from transformers import pipeline
import os
import asyncio
from contextlib import asynccontextmanager

@asynccontextmanager
async def lifespan(app: FastAPI):
    global needModel
    needModel = pipeline("sentiment-analysis")
    yield

app = FastAPI(lifespan=lifespan)

class Request(BaseModel):
    text: str
    number: int

@app.post("/message")
async def model(request: Request):
    try:
        # Возвращаем текст в верхнем регистре
        return {"result": request.text.upper()}
    except Exception as e:
        return {"error": str(e)}