Update app.py

app.py

@@ -519,26 +519,25 @@ def main():
         age_groups = ['All Ages', '16-25', '26-35', '36-45', '46-55', '56-65', '65+']
         selected_age = st.selectbox('Select Age Group:', age_groups)
         
-        chart_col, desc_col = st.columns([8, 2])
+        chart_col, desc_col = st.columns([7, 3])
         
         with chart_col:
             # Create and display chart
             fig, violations = create_severity_violation_chart(df, selected_age)
-            st.plotly_chart(fig, use_container_width=True) # --> for adequate space
 
-            # clicked_points = plotly_events(fig, click_event=True, override_height=600, override_width="100%")
-            clicked_points = plotly_events(fig, click_event=True, override_height=600)
+            clicked_points = plotly_events(fig, click_event=True, override_height=700, override_width=800)
+            # clicked_points = plotly_events(fig, click_event=True, override_height=600)
 
-            # If a bar is clicked, update the selected violation
+            # Update session state based on clicks
         if clicked_points:
             selected_violation = clicked_points[0]['x']
             if st.session_state.get('selected_violation') != selected_violation:
                 st.session_state['selected_violation'] = selected_violation
 
-        # If a violation is selected, display the pie chart
+        # Dynamically update the pie chart if a violation is selected
         if st.session_state.get('selected_violation'):
             pie_chart = create_interactive_pie_chart(violations, st.session_state['selected_violation'], selected_age)
-            st.plotly_chart(pie_chart, use_container_width=True)  # Dynamically render the pie chart
+            st.plotly_chart(pie_chart, use_container_width=True)
             
             # Display statistics
             if selected_age == 'All Ages':