Update app.py

app.py

@@ -121,7 +121,8 @@ def select_columns(df: pd.DataFrame, columns: list) -> pd.DataFrame:
         AutoEvalColumn.model_type_symbol.name,
         AutoEvalColumn.model.name,
     ]
-    selected_cols = always_here_cols + [c for c in columns if c in df.columns]
+    
+    selected_cols = list(dict.fromkeys(always_here_cols + [c for c in columns if c in df.columns]))
     return df[selected_cols]
 
 
@@ -269,14 +270,21 @@ with demo:
                     )
 
             leaderboard_df_filtered = filter_models(leaderboard_df, [t.to_str(" : ") for t in ModelType], list(NUMERIC_INTERVALS.keys()), [i.value.name for i in Precision], [i.value.name for i in AddSpecialTokens], [i.value.name for i in NumFewShots], False, False, False)
-            initial_columns = [c.name for c in fields(AutoEvalColumn) if c.never_hidden] + shown_columns.value
+            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_filtered, initial_columns)
-
             
+            # leaderboard_table = gr.components.Dataframe(
+            #     value=leaderboard_df_filtered,
+            #     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,
+            # )
             leaderboard_table = gr.components.Dataframe(
                 value=leaderboard_df_filtered,
-                headers=[c.name for c in fields(AutoEvalColumn) if c.never_hidden] + shown_columns.value,
-                datatype=TYPES,
+                headers=list(leaderboard_df_filtered.columns),
+                datatype={col: TYPES[COLS.index(col)] if col in COLS else "str" for col in leaderboard_df_filtered.columns},
                 elem_id="leaderboard-table",
                 interactive=False,
                 visible=True,