main.py

from fastapi import UploadFile, Form
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
import shutil
import os

# Enable CORS so frontend can talk to backend
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

@app.post("/predict")
async def predict(question: str = Form(...), file: UploadFile = Form(...)):
    try:
        # Save uploaded file
        temp_path = f"temp_{file.filename}"
        with open(temp_path, "wb") as f:
            shutil.copyfileobj(file.file, f)

        if file.content_type.startswith("image/"):
            from appImage import answer_question_from_image
            from PIL import Image
            image = Image.open(temp_path)
            answer = answer_question_from_image(image, question)
        else:
            from app import answer_question_from_doc
            class NamedFile:
                def __init__(self, name):
                    self.name = name
            answer = answer_question_from_doc(NamedFile(temp_path), question)

        os.remove(temp_path)
        return JSONResponse(content={"answer": answer})

    except Exception as e:
        return JSONResponse(content={"error": str(e)}, status_code=500)