Refactor init_leaderboard function to return updated data outputs as dataframe

app.py

@@ -92,7 +92,7 @@ def init_leaderboard(dataframes):
         LEADERBOARD_DF = get_leaderboard_df(RESULTS_REPO)
         research_textbox.value = ""
         selected_subset.choices = subsets
-        update_data(subset, research_textbox, selected_columns)
+        return update_data(subset, research_textbox, selected_columns)
 
     def update_data(subset, search_term, selected_columns):
         return dataframes[subset][dataframes[subset].model.str.contains(search_term, case=False)][selected_columns]