Update app.py

app.py

@@ -301,16 +301,24 @@ with demo:
             # )
 
             initial_columns = [c.name for c in fields(AutoEvalColumn) if c.never_hidden or c.displayed_by_default]
-            leaderboard_df_filtered = select_columns(leaderboard_df, initial_columns)
+            leaderboard_df_filtered = select_columns(leaderboard_df, initial_columns).copy()
+            
+            # 'T' カラムが存在しない場合、追加する
+            if 'T' not in leaderboard_df_filtered.columns:
+                leaderboard_df_filtered['T'] = '?'  # デフォルト値を設定
             
             # データ型を定義
             datatype = {col: "str" for col in leaderboard_df_filtered.columns}
             datatype['Model'] = "markdown"
+            datatype['T'] = "str"
+            
+            # 'T' カラムを文字列型に変換
+            leaderboard_df_filtered.loc[:, 'T'] = leaderboard_df_filtered['T'].astype(str)
             
-            # 'T' カラムが存在する場合、その型を設定
-            if 'T' in leaderboard_df_filtered.columns:
-                datatype['T'] = "str"
-                leaderboard_df_filtered['T'] = leaderboard_df_filtered['T'].astype(str)
+            # デバッグ用の出力
+            print("Columns in leaderboard_df_filtered:", leaderboard_df_filtered.columns)
+            print("First few rows of leaderboard_df_filtered:")
+            print(leaderboard_df_filtered.head())
             
             # Gradio Dataframe コンポーネントの初期化
             leaderboard_table = gr.components.Dataframe(