propogate lb update

app.py

@@ -698,12 +698,19 @@ with demo:
                     return refresh_data_with_filters(version, search_query, model_types, selected_columns)
 
                 # Refresh button functionality
+                def refresh_and_update(version, search_query, model_types, selected_columns):
+                    """
+                    Refresh data, update LEADERBOARD_DF, and return updated components.
+                    """
+                    global LEADERBOARD_DF
+                    main_df = get_leaderboard_df(version=version)
+                    LEADERBOARD_DF = main_df  # Update the global DataFrame
+                    return refresh_data_with_filters(version, search_query, model_types, selected_columns)
+
                 refresh_button.click(
-                    fn=refresh_data_with_filters,
+                    fn=refresh_and_update,
                     inputs=[version_selector, search_input, model_type_filter, column_selector],
-                    outputs=[leaderboard] + [category_tabs.children[i].children[0] for i in range(1, len(CATEGORIES) + 1)]
-                )
-
+                    outputs=[leaderboard] + [category_tabs.children[i].children[0] for i in range(1, len(CATEGORIES) + 1)])
                 # Search input functionality
                 search_input.change(
                     fn=refresh_data_with_filters,
@@ -931,7 +938,7 @@ with demo:
         fn=update_leaderboards,
         inputs=[version_selector],
         outputs=[leaderboard] + [category_tabs.children[i].children[0] for i in range(1, len(CATEGORIES) + 1)]
-    )
+    ).then(lambda version: refresh_data_with_filters(version), inputs=[version_selector], outputs=[leaderboard] + [category_tabs.children[i].children[0] for i in range(1, len(CATEGORIES) + 1)])
 
 
 # Set up the scheduler to refresh data periodically
@@ -943,5 +950,3 @@ scheduler.start()
 if __name__ == "__main__":
 
     demo.launch()
-
-