app.py

import os
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from huggingface_hub import InferenceClient

MODEL_ID = os.getenv(
    "MODEL_ID",
    "distilbert/distilbert-base-uncased-finetuned-sst-2-english",
)

client = InferenceClient(
    provider="hf-inference",
    api_key=os.environ["HF_TOKEN"],
)

app = FastAPI()

class Payload(BaseModel):
    text: str

@app.post("/analyze")
def analyze(p: Payload):
    if not p.text.strip():
        raise HTTPException(status_code=400, detail="Empty text")

    result = client.text_classification(
        p.text,
        model=MODEL_ID,
    )

    return {"model": MODEL_ID, "result": result}