Update app.py

app.py

@@ -149,8 +149,9 @@ def filter_models(
 
     type_emoji = [t[0] for t in type_query]
     filtered_df = filtered_df.loc[df[AutoEvalColumn.model_type_symbol.name].isin(type_emoji)]
-    print(f"Unique values in precision column: {filtered_df[AutoEvalColumn.precision.name].unique()}")
-    filtered_df = filtered_df.loc[filtered_df[AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
+    if 'Unknown' not in precision_query:
+        precision_query.append('Unknown')
+    filtered_df = filtered_df.loc[filtered_df[AutoEvalColumn.precision.name].isin(precision_query)]
     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}")
@@ -261,15 +262,11 @@ with demo:
             #     visible=True,
             #     #column_widths=["2%", "33%"] 
             # )
-            initial_data = leaderboard_df[
-                [c.name for c in fields(AutoEvalColumn) if c.never_hidden]
-                + shown_columns.value
-            ].to_dict('records')
-            
+            initial_data = leaderboard_df.to_dict('records')
             leaderboard_table = gr.components.Dataframe(
                 value=initial_data,
-                headers=[c.name for c in fields(AutoEvalColumn) if c.never_hidden] + shown_columns.value,
-                datatype=TYPES,
+                headers=list(leaderboard_df.columns),
+                datatype={col: "str" for col in leaderboard_df.columns},  # すべての列を文字列として扱う
                 elem_id="leaderboard-table",
                 interactive=False,
                 visible=True,