app.py

# app.py

import streamlit as st
import pandas as pd
import docx

def process_financial_data(file):
    try:
        if file.name.endswith('.csv'):
            df = pd.read_csv(file)
        elif file.name.endswith(('.xls', '.xlsx')):
            df = pd.read_excel(file)
        elif file.name.endswith('.docx'):
            doc = docx.Document(file)
            data = []
            for para in doc.paragraphs:
                data.append(para.text)
            df = pd.DataFrame({'Content': data})
        else:
            st.error("Unsupported file format. Please upload a CSV, Excel, or Word document.")
            return None, None, None
        
        if 'Type' in df.columns:
            income_statement = df[df['Type'] == 'Income Statement']
            balance_sheet = df[df['Type'] == 'Balance Sheet']
            cash_flow = df[df['Type'] == 'Cash Flow Statement']
            return income_statement, balance_sheet, cash_flow
        else:
            return df, None, None
    except Exception as e:
        st.error(f"Error processing file: {e}")
        return None, None, None

st.title("Financial Accounting App")
st.write("Upload a financial data file (CSV, Excel, Word) to generate statements.")

uploaded_file = st.file_uploader("Upload a file", type=["csv", "xls", "xlsx", "docx"])

if uploaded_file is not None:
    income_stmt, balance_sht, cash_flw = process_financial_data(uploaded_file)
    
    if income_stmt is not None:
        st.subheader("Processed Data")
        st.dataframe(income_stmt)

        if balance_sht is not None:
            st.subheader("Balance Sheet")
            st.dataframe(balance_sht)

        if cash_flw is not None:
            st.subheader("Cash Flow Statement")
            st.dataframe(cash_flw)

st.write("Developed for financial statement analysis.")