app.py

import streamlit as st
import pandas as pd
from modal import Function
import os

def init_modal():
    """Initialize Modal with token from environment"""
    try:
        from modal.config import config
        config.cli.token = os.environ.get('MODAL_TOKEN')
        return True
    except Exception as e:
        st.error(f"Failed to initialize Modal: {str(e)}")
        return False

def main():
    st.title("Financial Statement Analyzer")
    
    # Check Modal token
    if 'MODAL_TOKEN' not in os.environ:
        st.error("Modal token not found. Please add MODAL_TOKEN to Space secrets.")
        return
        
    # Initialize Modal
    if not init_modal():
        return
    
    uploaded_files = st.file_uploader(
        "Choose PDF files", 
        type="pdf", 
        accept_multiple_files=True,
        help="Upload Consolidated Financial Statements in Russian"
    )
    
    if uploaded_files:
        for file in uploaded_files:
            with st.expander(f"Processing {file.name}", expanded=True):
                progress_bar = st.progress(0)
                status = st.empty()
                
                try:
                    status.info("Starting PDF processing...")
                    progress_bar.progress(25)
                    
                    # Process PDF through Modal backend
                    pdf_processor = Function.lookup("stem", "process_pdf")
                    financial_data = pdf_processor.remote(file)
                    progress_bar.progress(75)
                    
                    if financial_data:
                        # Display results in tabs
                        tab1, tab2 = st.tabs(["Financial Ratios", "Raw Data"])
                        
                        with tab1:
                            st.subheader("Key Financial Ratios")
                            st.dataframe(pd.DataFrame([financial_data]))
                            
                        with tab2:
                            st.subheader("Extracted Financial Data")
                            st.json(financial_data)
                            
                        status.success("Processing complete!")
                    else:
                        status.error("Failed to extract financial data")
                        
                except Exception as e:
                    status.error(f"Error: {str(e)}")
                    st.error("Full error message: " + str(e))
                    progress_bar.empty()

if __name__ == "__main__":
    main()