Update app.py

app.py

@@ -105,16 +105,24 @@ def search_table(df: pd.DataFrame, query: str) -> pd.DataFrame:
     return df[(df[AutoEvalColumn.dummy.name].str.contains(query, case=False))]
 
 
+# def select_columns(df: pd.DataFrame, columns: list) -> pd.DataFrame:
+#     always_here_cols = [
+#         AutoEvalColumn.model_type_symbol.name,
+#         AutoEvalColumn.model.name,
+#     ]
+#     # We use COLS to maintain sorting
+#     filtered_df = df[
+#         always_here_cols + [c for c in COLS if c in df.columns and c in columns]# + [AutoEvalColumn.dummy.name]
+#     ]
+#     return filtered_df
+
 def select_columns(df: pd.DataFrame, columns: list) -> pd.DataFrame:
     always_here_cols = [
         AutoEvalColumn.model_type_symbol.name,
         AutoEvalColumn.model.name,
     ]
-    # We use COLS to maintain sorting
-    filtered_df = df[
-        always_here_cols + [c for c in COLS if c in df.columns and c in columns]# + [AutoEvalColumn.dummy.name]
-    ]
-    return filtered_df
+    selected_cols = list(dict.fromkeys(always_here_cols + [c for c in COLS if c in df.columns and c in columns]))
+    return df[selected_cols]
 
 def filter_queries(query: str, filtered_df: pd.DataFrame):
     """Added by Abishek"""
@@ -263,10 +271,18 @@ with demo:
             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: "markdown" if col == "Model" else "str" for col in leaderboard_df_filtered.columns},
                 elem_id="leaderboard-table",
                 interactive=False,
                 visible=True,