Update app.py

app.py

@@ -295,13 +295,14 @@ 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 = leaderboard_df_filtered.rename(columns={'T': 'Type_'})
-
-            # 'Type_' カラムのデータ型と内容を確認
-            print(f"'Type_' カラムのデータ型: {leaderboard_df_filtered['Type_'].dtype}")
-            print(f"'Type_' カラムのユニーク値: {leaderboard_df_filtered['Type_'].unique()}")
+            
+            # データフレームの内容を確認
+            print("Columns in leaderboard_df_filtered:")
+            print(leaderboard_df_filtered.columns)
+            print("\nFirst few rows of leaderboard_df_filtered:")
+            print(leaderboard_df_filtered.head())
             
             # 'Type_' カラムを文字列型に変換
             leaderboard_df_filtered['Type_'] = leaderboard_df_filtered['Type_'].astype(str)
@@ -310,30 +311,17 @@ with demo:
             datatype_dict = {}
             for col in leaderboard_df_filtered.columns:
                 if col == 'Model':
-                    datatype_dict[col] = "str"  # markdownからstrに変更
+                    datatype_dict[col] = "str"
                 elif col in TYPES:
                     datatype_dict[col] = TYPES[col]
                 else:
-                    datatype_dict[col] = "str"  # デフォルトのデータ型
-
-            datatype_dict['Type_'] = "str"
+                    datatype_dict[col] = "str"
             
-            # 'Type_' が 'datatype_dict' に含まれているか確認
-            if 'Type_' not in datatype_dict:
-                print("Warning: 'Type_' column not found in TYPES. Setting its datatype to 'str'.")
-                datatype_dict['Type_'] = "str"
+            datatype_dict['Type_'] = "str"
             
             # デバッグ用出力
-            print("Datatype dictionary after renaming 'T' to 'Type_':", datatype_dict)
-            print("Preview of leaderboard_df_filtered after renaming:")
-            print(leaderboard_df_filtered.head())
-            
-            # カラム名を確認してスペースや特殊文字がないか確認
-            print([f"'{c}'" for c in leaderboard_df_filtered.columns])
-            
-            # 'Type_' カラムのデータ型とユニーク値を再確認
-            print(f"'Type_' カラムのデータ型: {leaderboard_df_filtered['Type_'].dtype}")
-            print(f"'Type_' カラムのユニーク値: {leaderboard_df_filtered['Type_'].unique()}")
+            print("\nDatatype dictionary:")
+            print(datatype_dict)
             
             # Gradio Dataframe コンポーネントの初期化
             leaderboard_table = gr.components.Dataframe(
@@ -344,6 +332,10 @@ with demo:
                 interactive=False,
                 visible=True,
             )
+            
+            # デバッグ情報の出力
+            print("\nLeaderboard table headers:")
+            print(leaderboard_table.headers)
 
             
             # Dummy leaderboard for handling the case when the user uses backspace key