Update app.py

app.py

@@ -293,45 +293,39 @@ with demo:
             #     visible=True,
             # )
 
+            # 初期のカラム選択
             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)
             
+            # 'T' カラムを 'Type_' にリネーム
             leaderboard_df_filtered = leaderboard_df_filtered.rename(columns={'T': 'Type_'})
             
-            # カラム名を単純化
-            leaderboard_df_filtered.columns = [c.replace(' ', '_').replace('-', '_') for c in leaderboard_df_filtered.columns]
+            # 'Model' カラムからHTMLリンクを削除し、プレーンテキストに変換
+            leaderboard_df_filtered['Model'] = leaderboard_df_filtered['Model'].apply(lambda x: x.split('/')[-1] if isinstance(x, str) and '/' in x else x)
             
-            # データフレームの内容を確認
+            # データ型を文字列に変換
+            for col in leaderboard_df_filtered.columns:
+                leaderboard_df_filtered[col] = leaderboard_df_filtered[col].astype(str)
+            
+            # デバッグ用出力
             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)
-            
-            # datatypeを準備
-            datatype_dict = {col: "str" for col in leaderboard_df_filtered.columns}
-            
-            # デバッグ用出力
-            print("\nDatatype dictionary:")
-            print(datatype_dict)
-            
             # 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={col: "str" for col in leaderboard_df_filtered.columns},
                 elem_id="leaderboard-table",
                 interactive=False,
                 visible=True,
-                wrap=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
             hidden_leaderboard_table_for_search = gr.components.Dataframe(