Update app.py

app.py

@@ -100,7 +100,7 @@ def plot_forecast(merged_data, future_dates, volatility_predictions, lower_volat
     # Plot predicted volatility
     fig.add_trace(go.Scatter(x=future_dates, y=volatility_predictions, mode='lines',line_color='orange' ,name='Predicted Volatility', line=dict(dash='dot', width=4)))
 
-    fig.update_layout(title='VAR Predicted Volatility with Confidence Intervals',
+    fig.update_layout(title='Predicted Volatility with Confidence Intervals',
                       xaxis_title='Date', yaxis_title='Volatility',
                       template='plotly_white')
 
@@ -180,7 +180,7 @@ def plot_residuals_plotly(results):
     for col in residuals.columns:
         fig.add_trace(go.Scatter(x=residuals.index, y=residuals[col], mode='lines', name=f'Residuals: {col}'))
 
-    fig.update_layout(title='Residuals of VAR Model',
+    fig.update_layout(title='Residuals of Model',
                       xaxis_title='Date', yaxis_title='Residuals',
                       template='plotly_white')
     return fig
@@ -369,7 +369,7 @@ if page == "Real-time Predictions":
     plot_placeholder = st.empty()
 
     if run_button:
-        with st.spinner("Downloading data and processing..."):
+        with st.spinner("Downloading data and processing (This will take a few seconds)..."):
             data = download_data(tickers, start_date_rt, end_date_rt)
             data = calculate_returns_and_volatility(data, rolling_window)
             merged_data = merge_data(data)
@@ -467,7 +467,7 @@ elif page == "Model Performance":
     error_placeholder = st.empty()
 
     if run_button:
-        with st.spinner("Downloading data and processing..."):
+        with st.spinner("Downloading data and processing predictions (This will take a few seconds)..."):
             # Convert end_date_mp to datetime if necessary
             adjusted_end_date = pd.to_datetime(end_date_mp)