Update app.py

app.py

@@ -98,21 +98,32 @@ sp500_averages = load_sp500_averages(sp500_averages_path)
 # User interface in Streamlit
 st.title('S&P 500 Stock Comparison Tool')
 
-# Selection of stock from predefined list
+# Get combined scores and show overview first
+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)
 
-# Assuming 'stocks' is your list of stock ticker symbols
-if st.button('Calculate Combined Scores'):
-    scores_df = calculate_combined_scores_for_stocks(stocks, sp500_averages)
-    
-    # Sort by 'Combined Score' to prioritize viewing
-    scores_df.sort_values(by='Combined Score', ascending=False, inplace=True)
-    
-    # Display each stock and its combined score with color coding
-    for _, row in scores_df.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)
+# 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}")