Update app.py

app.py

@@ -98,33 +98,44 @@ sp500_averages = load_sp500_averages(sp500_averages_path)
 # User interface in Streamlit
 st.title('S&P 500 Stock Comparison Tool')
 
-# Get combined scores and show overview first
+# Fetch combined scores and overview if not already in session state
 if 'scores_df' not in st.session_state:
     st.session_state['scores_df'] = calculate_combined_scores_for_stocks(stocks, sp500_averages)
 
 # Sort the DataFrame by combined score for the overview
 scores_df_sorted = st.session_state['scores_df'].sort_values(by='Combined Score', ascending=False)
 
-# Display the overview with color coding
-for _, row in scores_df_sorted.iterrows():
-    color = "green" if row['Combined Score'] > 0 else "red" if row['Combined Score'] < 0 else "black"
-    score_msg = f"**{row['Stock']}**: <span style='color: {color};'>{row['Combined Score']}</span>"
-    st.markdown(score_msg, unsafe_allow_html=True)
-
-# Selection of stock from the dropdown
-ticker_symbol = st.selectbox('Select a stock', options=stocks)
-
-# Fetch and display details for the selected stock
-if ticker_symbol:
-    with st.spinner(f'Fetching data for {ticker_symbol}...'):
-        stock_data = fetch_stock_data(ticker_symbol)
-        comparison, _ = compare_to_index(stock_data, sp500_averages)
-        
-        st.write(f"Financial Ratios for {ticker_symbol}:")
-        for ratio, result in comparison.items():
-            if ratio != 'Combined Score':  # Avoid repeating the combined score in the loop
-                st.write(f"{ratio}: {result}")
-
+# Use columns for side-by-side layout
+col1, col2 = st.columns([2, 3])
+
+# First column for the sorted overview
+with col1:
+    st.subheader("Stock Overview")
+    for _, row in scores_df_sorted.iterrows():
+        color = "green" if row['Combined Score'] > 0 else "red" if row['Combined Score'] < 0 else "grey"
+        st.markdown(f"<span style='color: {color};'>{row['Stock']}: {row['Combined Score']}</span>", unsafe_allow_html=True)
+
+# Second column for detailed financial ratios and company information
+with col2:
+    st.subheader("Stock Details")
+    ticker_symbol = st.selectbox('Select a stock for details', options=scores_df_sorted['Stock'].tolist())
+    if ticker_symbol:
+        with st.spinner(f'Fetching data for {ticker_symbol}...'):
+            stock_data = fetch_stock_data(ticker_symbol)
+            comparison, _ = compare_to_index(stock_data, sp500_averages)
+            
+            # Fetch additional information such as company name and description
+            company_info = yf.Ticker(ticker_symbol).info
+            company_name = company_info.get('longName')
+            company_description = company_info.get('longBusinessSummary')
+            
+            st.write(f"**{company_name}**")
+            st.write(company_description)
+            
+            st.write(f"**Financial Ratios for {ticker_symbol}:**")
+            for ratio, result in comparison.items():
+                if ratio != 'Combined Score':  # Avoid repeating the combined score
+                    st.write(f"{ratio}: {result}")