main.py

import os
# ✅ Set cache to writable directory
os.environ["TRANSFORMERS_CACHE"] = "/tmp/hf_cache"
os.environ["HF_HOME"] = "/tmp/hf-home"

from fastapi import FastAPI, Request
from pydantic import BaseModel
from transformers import pipeline

app = FastAPI()

# Load model once when the app starts
classifier = pipeline("zero-shot-classification", model="syedkhalid076/DeBERTa-Zero-Shot-Classification")

# Request body model
class ClassificationRequest(BaseModel):
    text: str

@app.post("/classify")
async def classify(request: ClassificationRequest):
    candidate_labels = ["contains electronic components", "doesn't contain electronic components"]
    result = classifier(request.text, candidate_labels, multi_label=False)
    return {"labels": result["labels"], "scores": result["scores"]}