Update app.py

app.py

@@ -204,6 +204,7 @@ def generate_graph(selected_investors, 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,
@@ -227,7 +228,7 @@ def main():
             industry_filter = gr.Dropdown(choices=industry_list, label="Filter by Industry", value=default_industry)
         
         filtered_investor_list = gr.CheckboxGroup(choices=[], label="Select Investors", visible=False)
-        graph_output = gr.Plotly(type="plotly", label="Venture Network Graph")  # Use Plotly for interactive graph
+        graph_output = gr.Plot(label="Venture Network Graph")
         valuation_display = gr.Markdown(value="Click on a company node to see its valuation.", label="Company Valuation")
         
         filtered_data_holder = gr.State()
@@ -250,17 +251,17 @@ def main():
         )
         
         def display_valuation(click_data):
-            if not click_data or not click_data.get("points"):
+            if not click_data:
                 return "Click on a company node to see its valuation."
-            
-            point = click_data["points"][0]
+            # 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.interactive(
+        graph_output.plotly_events(
             fn=display_valuation,
-            inputs=graph_output,
+            inputs=None,
             outputs=valuation_display
         )
     
@@ -268,4 +269,3 @@ def main():
 
 if __name__ == "__main__":
     main()
-