Update app.py

app.py

@@ -300,51 +300,29 @@ with demo:
             #     visible=True,
             # )
 
+            # DataFrameの初期化部分のみを修正
             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).copy()
+            leaderboard_df_filtered = select_columns(leaderboard_df, initial_columns)
             
-            # '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)
-            
-            # 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())
-            
-            # データフレームを辞書に変換
-            df_dict = leaderboard_df_filtered.to_dict('records')
+            # Model列のリンク形式を修正
+            leaderboard_df_filtered['Model'] = leaderboard_df_filtered['Model'].apply(
+                lambda x: f'[{x.split(">")[-2].split("<")[0]}]({x.split("href=")[1].split(chr(34))[1]})' if isinstance(x, str) and 'href=' in x else x
+            )
             
-            # デバッグ用の出力
-            print("First row of df_dict:")
-            print(df_dict[0])
-            print("Keys in the first row:")
-            print(list(df_dict[0].keys()))
+            # 数値データを文字列に変換
+            for col in leaderboard_df_filtered.columns:
+                if col not in ['T', 'Model']:
+                    leaderboard_df_filtered[col] = leaderboard_df_filtered[col].astype(str)
             
-            # Gradio Dataframe コンポーネントの初期化
-            try:
-                leaderboard_table = gr.components.Dataframe(
-                    value=df_dict,
-                    headers=list(leaderboard_df_filtered.columns),
-                    datatype=datatype,
-                    elem_id="leaderboard-table",
-                    interactive=False,
-                    visible=True,
-                )
-                print("Dataframe component initialized successfully")
-            except Exception as e:
-                print(f"Error initializing Dataframe component: {str(e)}")
-                print("datatype dictionary:")
-                print(datatype)
-                raise
+            # 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={col: "markdown" if col == "Model" else "str" for col in leaderboard_df_filtered.columns},
+                elem_id="leaderboard-table",
+                interactive=False,
+                visible=True
+            )
             
             # Dummy leaderboard for handling the case when the user uses backspace key
             hidden_leaderboard_table_for_search = gr.components.Dataframe(