app.py

import streamlit as st
import requests
import json

st.title("PDF Extraction App")
st.write("Upload a PDF file to extract correct answers and options using the backend service.")

# File uploader widget for PDF files
uploaded_file = st.file_uploader("Choose a PDF file", type=["pdf"])

if uploaded_file is not None:
    if st.button("Extract Answers"):
        with st.spinner("Processing the file, please wait..."):
            try:
                # Prepare the file payload
                files = {
                    "file": (uploaded_file.name, uploaded_file.read(), "application/pdf")
                }
                # Make a POST request to the FastAPI endpoint
                response = requests.post(
                    "https://hammad712-grading.hf.space/extract-answers/",
                    files=files
                )
                # Check for successful response
                if response.status_code == 200:
                    result = response.json()
                    st.success("Extraction successful!")
                    st.json(result)
                    
                    # Create a download button for the JSON result
                    json_data = json.dumps(result, indent=2)
                    st.download_button(
                        label="Download JSON",
                        data=json_data,
                        file_name="extraction_result.json",
                        mime="application/json"
                    )
                else:
                    st.error(f"Error: {response.text}")
            except Exception as e:
                st.error(f"An error occurred: {e}")