Update app.py

app.py

@@ -231,40 +231,40 @@ def main():
     tab1, tab2, tab3, tab4, tab5 = st.tabs(["Crash Statistics", "Crash Map", "Crash Trend", "Crash Injuries/Fatalities","Distribution by Category"])
     
     with tab1:
-    # Age group selection
-    age_groups = ['All Ages', '16-25', '26-35', '36-45', '46-55', '56-65', '65+']
-    selected_age = st.selectbox('Select Age Group:', age_groups)
-
-    # Create and display the main violation distribution chart
-    fig, violations = create_violation_distribution_chart(df, selected_age)
-
-    # Display the figure using plotly_events only (no extra st.plotly_chart)
-    selected_points = plotly_events(
-        fig,
-        click_event=True,
-        hover_event=False,
-        select_event=True,
-        key="violation_chart"
-    )
-
-    # If user clicked on a bar, show severity distribution
-    if selected_points:
-        clicked_violation = violations.iloc[selected_points[0]['pointIndex']]['Violation']
-        severity_fig = create_severity_distribution_for_violation(df, clicked_violation)
-        st.plotly_chart(severity_fig, use_container_width=True)
-
-    # Display total incidents info
-    if selected_age == 'All Ages':
-        total_incidents = len(df)
-    else:
-        total_incidents = len(df[
-            (df['Age_Group_Drv1'] == selected_age) | 
-            (df['Age_Group_Drv2'] == selected_age)
-        ])
-
-    st.markdown(f"### Total Incidents for {selected_age}")
-    st.markdown(f"**{total_incidents:,}** incidents")
-
+        # Age group selection
+        age_groups = ['All Ages', '16-25', '26-35', '36-45', '46-55', '56-65', '65+']
+        selected_age = st.selectbox('Select Age Group:', age_groups)
+    
+        # Create and display the main violation distribution chart
+        fig, violations = create_violation_distribution_chart(df, selected_age)
+    
+        # Display the figure using plotly_events only (no extra st.plotly_chart)
+        selected_points = plotly_events(
+            fig,
+            click_event=True,
+            hover_event=False,
+            select_event=True,
+            key="violation_chart"
+        )
+    
+        # If user clicked on a bar, show severity distribution
+        if selected_points:
+            clicked_violation = violations.iloc[selected_points[0]['pointIndex']]['Violation']
+            severity_fig = create_severity_distribution_for_violation(df, clicked_violation)
+            st.plotly_chart(severity_fig, use_container_width=True)
+    
+        # Display total incidents info
+        if selected_age == 'All Ages':
+            total_incidents = len(df)
+        else:
+            total_incidents = len(df[
+                (df['Age_Group_Drv1'] == selected_age) | 
+                (df['Age_Group_Drv2'] == selected_age)
+            ])
+    
+        st.markdown(f"### Total Incidents for {selected_age}")
+        st.markdown(f"**{total_incidents:,}** incidents")
+    
 
     with tab2:
         years = sorted(df['Year'].unique())