qtAnswering / main.py
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from fastapi import FastAPI, UploadFile, Form
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
import shutil
import os
# βœ… Create FastAPI app
app = FastAPI()
# βœ… Enable CORS so frontend can talk to backend
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# βœ… Prediction endpoint
@app.get("/")
async def predict(question: str = Form(...), file: UploadFile = Form(...)):
try:
# Save uploaded file temporarily
temp_path = f"temp_{file.filename}"
with open(temp_path, "wb") as f:
shutil.copyfileobj(file.file, f)
# βœ… Decide handler based on file type
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)