Update app.py

app.py

@@ -2,7 +2,7 @@
 
 import streamlit as st
 import pandas as pd
-import docx
+from docx import Document
 
 def process_financial_data(file):
     try:
@@ -11,44 +11,56 @@ def process_financial_data(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)
+            doc = Document(file)
+            data = [para.text for para in doc.paragraphs if para.text.strip()]
             df = pd.DataFrame({'Content': data})
         else:
             st.error("Unsupported file format. Please upload a CSV, Excel, or Word document.")
-            return None, None, None
+            return None, None, 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
+        # Creating Ledger
+        ledger = df[df['Type'] == 'Ledger'] if 'Type' in df.columns else None
+        
+        # Creating Journal
+        journal = df[df['Type'] == 'Journal'] if 'Type' in df.columns else None
+        
+        # Creating Financial Statements
+        income_statement = df[df['Type'] == 'Income Statement'] if 'Type' in df.columns else None
+        balance_sheet = df[df['Type'] == 'Balance Sheet'] if 'Type' in df.columns else None
+        cash_flow = df[df['Type'] == 'Cash Flow Statement'] if 'Type' in df.columns else None
+        
+        return ledger, journal, income_statement, balance_sheet, cash_flow
     except Exception as e:
         st.error(f"Error processing file: {e}")
-        return None, None, None
+        return None, None, None, None, None
 
-st.title("Financial Accounting App")
-st.write("Upload a financial data file (CSV, Excel, Word) to generate statements.")
+st.title("Comprehensive Financial Accounting App")
+st.write("Upload a financial data file (CSV, Excel, Word) to generate Ledger, Journal, and Financial 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)
+    ledger, journal, income_stmt, balance_sht, cash_flw = process_financial_data(uploaded_file)
+    
+    if ledger is not None:
+        st.subheader("Ledger")
+        st.dataframe(ledger)
+    
+    if journal is not None:
+        st.subheader("Journal")
+        st.dataframe(journal)
     
     if income_stmt is not None:
-        st.subheader("Processed Data")
+        st.subheader("Income Statement")
         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)
 
-        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 comprehensive financial analysis.")
 
-st.write("Developed for financial statement analysis.")