Update app.py

app.py

@@ -190,7 +190,12 @@ class StockPredictorApp:
         )
         
         # Add a vertical line to separate historical and predicted
-        fig.add_vline(x=historical_data.index[-1], 
+        # Convert timestamp to string to avoid Plotly issues
+        last_date = historical_data.index[-1]
+        if hasattr(last_date, 'strftime'):
+            last_date = last_date.strftime('%Y-%m-%d')
+        
+        fig.add_vline(x=last_date, 
                      line_dash="solid", 
                      line_color="gray",
                      annotation_text="Forecast Start")
@@ -320,14 +325,18 @@ def predict_stock_price_safe(ticker, num_days):
         Place these files in the same directory as the app.
         """
         
-        historical_data, predictions_df = create_demo_predictions(ticker, num_days)
-        fig = predictor.create_plot(historical_data, predictions_df, f"{ticker} (DEMO)")
-        
-        predictions_display = predictions_df.copy()
-        predictions_display['Date'] = predictions_display['Date'].dt.strftime('%Y-%m-%d')
-        predictions_display = predictions_display.round(2)
-        
-        return fig, demo_msg, predictions_display
+        try:
+            historical_data, predictions_df = create_demo_predictions(ticker, num_days)
+            fig = predictor.create_plot(historical_data, predictions_df, f"{ticker} (DEMO)")
+            
+            predictions_display = predictions_df.copy()
+            predictions_display['Date'] = predictions_display['Date'].dt.strftime('%Y-%m-%d')
+            predictions_display = predictions_display.round(2)
+            
+            return fig, demo_msg, predictions_display
+        except Exception as e:
+            error_msg = f"Error creating demo predictions: {str(e)}"
+            return None, error_msg, empty_df
     
     # Normal prediction flow
     return predict_stock_price(ticker, num_days)
@@ -384,9 +393,6 @@ with gr.Blocks(title="Stock Price Forecaster", theme=gr.themes.Soft()) as app:
     
     # Add examples (use safe function)
     gr.Examples(
-        examples=[
-            ["AAPL", 7],
-        ],
         inputs=[ticker_input, days_input],
         outputs=[plot_output, summary_output, predictions_table],
         fn=predict_stock_price_safe,
@@ -408,9 +414,6 @@ with gr.Blocks(title="Stock Price Forecaster", theme=gr.themes.Soft()) as app:
         - **LSTM**: Long Short-Term Memory neural network with 3 layers and dropout regularization
         - **Training Data**: Historical stock prices from Yahoo Finance
         
-        ### ⚠️ Disclaimer
-        This is for educational purposes only. Stock predictions are inherently uncertain and should not be used as the sole basis for investment decisions.
-        """
     )
 
 # Launch the app