Update app.py

app.py

@@ -152,10 +152,8 @@ def filter_models(
     if 'Unknown' not in precision_query:
         precision_query.append('Unknown')
     filtered_df = filtered_df.loc[filtered_df[AutoEvalColumn.precision.name].isin(precision_query)]
-    print(f"After precision filter: {filtered_df.shape}")
-    filtered_df = filtered_df.loc[df[AutoEvalColumn.add_special_tokens.name].isin(add_special_tokens_query)]
-    print(f"After add_special_tokens filter: {filtered_df.shape}")
-    filtered_df = filtered_df.loc[df[AutoEvalColumn.num_few_shots.name].isin(num_few_shots_query)]
+    filtered_df = filtered_df.loc[filtered_df[AutoEvalColumn.add_special_tokens.name].isin(add_special_tokens_query + ["Unknown"])]
+    filtered_df = filtered_df.loc[filtered_df[AutoEvalColumn.num_few_shots.name].isin(num_few_shots_query + ["Unknown"])]
     print(f"After num_few_shots filter: {filtered_df.shape}")
     
 
@@ -263,14 +261,20 @@ with demo:
             #     #column_widths=["2%", "33%"] 
             # )
             initial_data = leaderboard_df.to_dict('records')
+            headers = list(leaderboard_df.columns)
+            
             leaderboard_table = gr.components.Dataframe(
                 value=initial_data,
-                headers=list(leaderboard_df.columns),
-                datatype={col: "str" for col in leaderboard_df.columns},  # すべての列を文字列として扱う
+                headers=headers,
+                datatype={col: "str" for col in headers},  # すべての列を文字列として扱う
                 elem_id="leaderboard-table",
                 interactive=False,
                 visible=True,
             )
+            print("Leaderboard table initial value:")
+            print(initial_data[:5] if initial_data else "Empty")
+            print("Headers:")
+            print(headers)
             # print("Leaderboard table initial value:")
             # print(leaderboard_table.value.head())
             # print(f"Leaderboard table shape: {leaderboard_table.value.shape}")