Refactor init_leaderboard function to update data outputs to dataframe and improve dropdown UI

app.py

@@ -93,15 +93,17 @@ def init_leaderboard(dataframes):
     def refresh(subset):
         global LEADERBOARD_DF
         LEADERBOARD_DF = get_leaderboard_df(RESULTS_REPO)
-        research_textbox.value = ""
-        selected_subset.choices = subsets
-        return update_data(subset, research_textbox, selected_columns)
+        default_columns = [c.name for c in fields(AutoEvalColumn) if c.displayed_by_default]
+        
+        return update_data(subset, None, default_columns), gr.Textbox(placeholder="🔍 Search Models... [press enter]", label="Filter Models by Name"), gr.CheckboxGroup(default_columns)
 
     def update_data(subset, search_term, selected_columns):
         print("Subset:", subset)
         print("Search Term:", search_term)
         print("Selected Columns:", selected_columns)
-        filtered_data = dataframes[subset][dataframes[subset]['Model Name'].str.contains(search_term, case=False)]
+        filtered_data = dataframes[subset]
+        if search_term:
+            filtered_data = filtered_data[dataframes[subset]['Model Name'].str.contains(search_term, case=False)]
         selected_columns = [c.name for c in fields(AutoEvalColumn) if c.name in selected_columns]
         selected_data = filtered_data[selected_columns]
         selected_data.sort_values(by="Total", ascending=False, inplace=True)
@@ -114,7 +116,7 @@ def init_leaderboard(dataframes):
             inputs=[
                 selected_subset,
             ],
-            outputs=df,
+            outputs=[df, research_textbox, selected_columns],
             concurrency_limit=20,
         )