only rerender on uer input

app.py

@@ -252,7 +252,7 @@ def load_task_data(repo_name, runs_to_fetch, checkpoint, task_name, tasks_files,
     combined_df = combined_df.reset_index()
     chosen_metrics = available_metrics[:1]
 
-    return combined_df, render_table(combined_df, runs_to_fetch, chosen_metrics), gr.update(choices=available_metrics, value=chosen_metrics)
+    return combined_df, gr.update(choices=available_metrics, value=chosen_metrics)
 
 with gr.Blocks() as demo:
     runs_checkpoints = gr.State({})
@@ -308,19 +308,30 @@ with gr.Blocks() as demo:
         fn=fetch_run_results,
         inputs=[repo, selected_runs, checkpoint],
         outputs=[task_name, tasks_files]
+    ).then(
+        fn=load_task_data,
+        inputs=[repo, selected_runs, checkpoint, task_name, tasks_files],
+        outputs=[results_df_full, metric_names]
+    ).then(
+        fn=render_table,
+        inputs=[results_df_full, selected_runs, metric_names],
+        outputs=[results_df]
     )
-    
 
     # Update results when task name or metric changes
     gr.on(
-        triggers=[task_name.change],
+        triggers=[task_name.input],
         fn=load_task_data,
         inputs=[repo, selected_runs, checkpoint, task_name, tasks_files],
-        outputs=[results_df_full, results_df, metric_names]
+        outputs=[results_df_full, metric_names]
+    ).then(
+        fn=render_table,
+        inputs=[results_df_full, selected_runs, metric_names],
+        outputs=[results_df]
     )
     
     gr.on(
-        triggers=[metric_names.change],
+        triggers=[metric_names.input],
         fn=render_table,
         inputs=[results_df_full, selected_runs, metric_names],
         outputs=[results_df]