Update app.py

app.py

@@ -157,8 +157,8 @@ def filter_models(
     filtered_df = filtered_df.loc[df[AutoEvalColumn.model_type_symbol.name].isin(type_emoji)]
     print(f"After type filter: {filtered_df.shape}")
 
-    filtered_df = filtered_df.loc[df[AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
-    print(f"After precision filter: {filtered_df.shape}")
+    # filtered_df = filtered_df.loc[df[AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
+    # print(f"After precision filter: {filtered_df.shape}")
 
     filtered_df = filtered_df.loc[df[AutoEvalColumn.add_special_tokens.name].isin(add_special_tokens_query)]
     print(f"After add_special_tokens filter: {filtered_df.shape}")
@@ -261,14 +261,12 @@ with demo:
                 value=leaderboard_df[
                     [c.name for c in fields(AutoEvalColumn) if c.never_hidden]
                     + shown_columns.value
-                    # + [AutoEvalColumn.dummy.name]
-                ],
+                ].to_dict('records'),  # DataFrameを辞書のリストに変換
                 headers=[c.name for c in fields(AutoEvalColumn) if c.never_hidden] + shown_columns.value,
                 datatype=TYPES,
                 elem_id="leaderboard-table",
                 interactive=False,
                 visible=True,
-                #column_widths=["2%", "33%"] 
             )
             print("Leaderboard table initial value:")
             print(leaderboard_table.value.head())