Update app.py

app.py

@@ -200,17 +200,6 @@ def generate_graph(selected_investors, filtered_data):
     
     return fig
 
-# Gradio app function to update CheckboxGroup and filtered data
-def app(selected_country, selected_industry):
-    investor_list, filtered_data = filter_investors_by_country_and_industry(selected_country, selected_industry)
-    logger.info("Updating CheckboxGroup and filtered data holder.")
-    
-    return gr.update(
-        choices=investor_list,
-        value=investor_list,
-        visible=True
-    ), filtered_data
-
 # Gradio Interface
 def main():
     country_list = ["All"] + sorted(data["Country"].dropna().unique())
@@ -234,36 +223,15 @@ def main():
         filtered_data_holder = gr.State()
         
         country_filter.change(
-            app,
-            inputs=[country_filter, industry_filter],
-            outputs=[filtered_investor_list, filtered_data_holder]
-        )
-        industry_filter.change(
-            app,
+            filter_investors_by_country_and_industry,
             inputs=[country_filter, industry_filter],
             outputs=[filtered_investor_list, filtered_data_holder]
         )
-        
         filtered_investor_list.change(
             generate_graph,
             inputs=[filtered_investor_list, filtered_data_holder],
             outputs=graph_output
         )
-        
-        def display_valuation(click_data):
-            if not click_data:
-                return "Click on a company node to see its valuation."
-            # click_data is a list of dictionaries
-            point = click_data[0]  # Get the first point clicked
-            if "customdata" in point and point["customdata"]:
-                return f"**Valuation:** {point['customdata']}"
-            return "Click on a company node to see its valuation."
-        
-        graph_output.plotly_events(
-            fn=display_valuation,
-            inputs=None,
-            outputs=valuation_display
-        )
     
     demo.launch()