upgrade leaderboard

app.py

@@ -801,13 +801,9 @@ def filter_by_model_type(df, selected_types):
     return df[df['Method'].isin(selected_models)]
 
 def format_dataframe(df, dataset):
-    # print(df)
-    # print("----- *** ------")
     columns = ['Method'] + [col for col in df.columns if dataset in col]
     filtered_df = df[columns].copy()
     filtered_df.columns = [col.split('_')[-1] if '_' in col else col for col in filtered_df.columns]
-    # print(filtered_df)
-    # print("----- ### ------")
     # filtered_df = filtered_df.sort_values('MRR', ascending=False)
     filtered_df = filtered_df.sort_values('Kappa', ascending=False)
     return filtered_df
@@ -832,8 +828,6 @@ def update_tables(selected_types):
         for dataset in ['DL2023']:
             outputs.append(format_dataframe(df, f"LLMJudge-{dataset}"))
     
-    print(outputs)
-    
     return outputs
 
 def load_test_data():
@@ -979,11 +973,7 @@ with gr.Blocks(css=css) as demo:
     result = gr.Textbox(label="Submission Status", interactive=False)
 
     # Set up event handlers
-    model_type_filter.change(
-        update_tables,
-        inputs=[model_type_filter],
-        outputs=all_dfs
-    )
+    model_type_filter.change(update_tables, inputs=[model_type_filter], outputs=all_dfs)
     
     # Event handler for submission button
     submit_btn.click(
@@ -1000,11 +990,7 @@ with gr.Blocks(css=css) as demo:
     )
     
     # Initial table update
-    demo.load(
-        update_tables,
-        inputs=[model_type_filter],
-        outputs=all_dfs
-    )
+    demo.load(update_tables, inputs=[model_type_filter], outputs=all_dfs)
 
 # Launch the application
 demo.launch()