Update app.py

app.py

@@ -172,8 +172,9 @@ def filter_models(
     filtered_df = df
 
     # Model Type フィルタリング
+    type_column = 'T' if 'T' in df.columns else 'Type_'
     type_emoji = [t.split()[0] for t in type_query]
-    filtered_df = filtered_df[filtered_df['T'].isin(type_emoji)]
+    filtered_df = df[df[type_column].isin(type_emoji)]
     print(f"After type filter: {filtered_df.shape}")
 
     # Precision フィルタリング
@@ -395,10 +396,15 @@ with demo:
             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()}")
             
-            # Gradio Dataframe コンポーネントの初期化（datatype を省略）
+            datatype = {col: "str" for col in leaderboard_df_filtered.columns}
+            datatype['Model'] = "markdown"
+            type_column = 'T' if 'T' in leaderboard_df_filtered.columns else 'Type_'
+            datatype[type_column] = "str"
+            
             leaderboard_table = gr.components.Dataframe(
                 value=leaderboard_df_filtered,
-                # datatype=datatype_dict,  # 一時的にコメントアウト
+                headers=list(leaderboard_df_filtered.columns),
+                datatype=datatype,
                 elem_id="leaderboard-table",
                 interactive=False,
                 visible=True,