remodify

app.py

@@ -149,12 +149,6 @@ with gr.Blocks(title="India Growth Metrics Dashboard", theme=gr.themes.Soft()) a
                 value=metrics[0],
                 label="Select Metric"
             )
-            
-            time_series_city = gr.Dropdown(
-                choices=list(cities),
-                value=cities[0],
-                label="Select City for Time Series"
-            )
     
     with gr.Row():
         with gr.Column(scale=1):
@@ -189,47 +183,40 @@ with gr.Blocks(title="India Growth Metrics Dashboard", theme=gr.themes.Soft()) a
             twin_cities = gr.Markdown(label="Twin Cities")
     
     # Event handlers
-    def update_charts(cities, metric):
-        return (
-            create_bar_chart(cities, metric),
-            create_radar_chart(cities),
-            create_correlation_matrix(cities),
-            create_cluster_view(metric),
-            generate_ai_insights(cities),
-            find_twin_cities(cities)
-        )
-    
-    def update_time_series(metric, city):
-        return create_time_series(metric, city)
-
-    def update_all_charts(cities, metric, ts_city):
-        bar_fig, radar_fig, corr_fig, cluster_fig, ai_md, twin_md = update_charts(cities, metric)
-        ts_fig = update_time_series(metric, ts_city)
+    def update_all_outputs(selected_cities, selected_metric):
+        # Time series uses the first selected city
+        time_series_city = selected_cities[0] if selected_cities else None
+
+        bar_fig = create_bar_chart(selected_cities, selected_metric)
+        radar_fig = create_radar_chart(selected_cities)
+        corr_fig = create_correlation_matrix(selected_cities)
+        cluster_fig = create_cluster_view(selected_metric)
+        ai_md = generate_ai_insights(selected_cities)
+        twin_md = find_twin_cities(selected_cities)
+        ts_fig = create_time_series(selected_metric, time_series_city)
+
         return bar_fig, radar_fig, corr_fig, cluster_fig, ts_fig, ai_md, twin_md
-    
+
+    # A list of all outputs for convenience
+    all_outputs = [bar_chart, radar_chart, correlation_matrix, cluster_view, time_series, ai_insights, twin_cities]
+
     # Connect inputs to outputs
     city_selector.change(
-        fn=update_charts,
+        fn=update_all_outputs,
         inputs=[city_selector, metric_selector],
-        outputs=[bar_chart, radar_chart, correlation_matrix, cluster_view, ai_insights, twin_cities]
+        outputs=all_outputs
     )
     
     metric_selector.change(
-        fn=update_all_charts,
-        inputs=[city_selector, metric_selector, time_series_city],
-        outputs=[bar_chart, radar_chart, correlation_matrix, cluster_view, time_series, ai_insights, twin_cities]
-    )
-    
-    time_series_city.change(
-        fn=update_time_series,
-        inputs=[metric_selector, time_series_city],
-        outputs=[time_series]
+        fn=update_all_outputs,
+        inputs=[city_selector, metric_selector],
+        outputs=all_outputs
     )
     
     demo.load(
-        fn=update_all_charts,
-        inputs=[city_selector, metric_selector, time_series_city],
-        outputs=[bar_chart, radar_chart, correlation_matrix, cluster_view, time_series, ai_insights, twin_cities]
+        fn=update_all_outputs,
+        inputs=[city_selector, metric_selector],
+        outputs=all_outputs
     )
 
 # Launch the app