Update app.py

app.py

@@ -340,25 +340,51 @@ with demo:
                 leaderboard_df_filtered = pd.DataFrame(records)
 
             
-            # デバッグ用出力
-            print("Datatype dictionary:", datatype_dict)
+            # 'T' カラムを 'Type' にリネーム
+            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()}")
+            
+            # 'Type' カラムを文字列型に変換
+            leaderboard_df_filtered['Type'] = leaderboard_df_filtered['Type'].astype(str)
+            
+            # 'COLS' リストから 'T' と 'Model' を除外
+            if 'T' in COLS:
+                COLS.remove('T')
+            if 'Model' in COLS:
+                COLS.remove('Model')
             
-            # デバッグ用にデータフレームの先頭を表示
-            print("Preview of leaderboard_df_filtered:")
+            # 'datatype_dict' を再定義
+            datatype_dict = {}
+            for col in leaderboard_df_filtered.columns:
+                if col == 'Model':
+                    datatype_dict[col] = "markdown"
+                elif col in TYPES:
+                    datatype_dict[col] = TYPES[col]
+                else:
+                    datatype_dict[col] = "str"  # デフォルトのデータ型
+            
+            # '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"
+            
+            # 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())
             
             # Gradio Dataframe コンポーネントの初期化
             leaderboard_table = gr.components.Dataframe(
                 value=leaderboard_df_filtered.to_dict('records'),
                 headers=list(leaderboard_df_filtered.columns),
-                datatype=datatype_dict,
+                datatype=datatype_dict,  # 必要に応じてコメントアウト
                 elem_id="leaderboard-table",
                 interactive=False,
                 visible=True,
             )
-
-            print("Datatype dictionary:", datatype_dict)
-            print("Leaderboard table headers:", leaderboard_table.headers)
             
             # Dummy leaderboard for handling the case when the user uses backspace key
             hidden_leaderboard_table_for_search = gr.components.Dataframe(