Update app.py

app.py

@@ -58,35 +58,27 @@ LEADERBOARD_DF = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS,
 ) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
 
 def init_leaderboard(dataframe):
-    if dataframe is None or dataframe.empty:
-        raise ValueError("Leaderboard DataFrame is empty or None.")
-    return Leaderboard(
-        value=dataframe,
-        datatype=[c.type for c in fields(AutoEvalColumn)],
-        select_columns=SelectColumns(
-            default_selection=[c.name for c in fields(AutoEvalColumn) if c.displayed_by_default],
-            cant_deselect=[c.name for c in fields(AutoEvalColumn) if c.never_hidden],
-            label="Select Columns to Display:",
-        ),
-        search_columns=[AutoEvalColumn.model.name, AutoEvalColumn.license.name],
-        hide_columns=[c.name for c in fields(AutoEvalColumn) if c.hidden],
-        filter_columns=[
-            ColumnFilter(AutoEvalColumn.model_type.name, type="checkboxgroup", label="Model types"),
-            ColumnFilter(AutoEvalColumn.precision.name, type="checkboxgroup", label="Precision"),
-            ColumnFilter(
-                AutoEvalColumn.params.name,
-                type="slider",
-                min=0.01,
-                max=150,
-                label="Select the number of parameters (B)",
-            ),
-            ColumnFilter(
-                AutoEvalColumn.still_on_hub.name, type="boolean", label="Deleted/incomplete", default=True
-            ),
-        ],
-        bool_checkboxgroup_label="Hide models",
-        interactive=False,
-    )
+  if dataframe is None or dataframe.empty:
+    raise ValueError("Leaderboard DataFrame is empty or None.")
+  return Leaderboard(
+    value=dataframe,
+    datatype=[c.type for c in fields(AutoEvalColumn)],
+    select_columns=SelectColumns(
+      default_selection=[c.name for c in fields(AutoEvalColumn) if c.displayed_by_default],
+      cant_deselect=[c.name for c in fields(AutoEvalColumn) if c.never_hidden],
+      label="Select Columns to Display:",
+    ),
+    search_columns=[AutoEvalColumn.model.name, AutoEvalColumn.license.name],
+    hide_columns=[c.name for c in fields(AutoEvalColumn) if c.hidden],
+    filter_columns=[
+      ColumnFilter(AutoEvalColumn.model_type.name, type="checkboxgroup", label="Model types"),
+      ColumnFilter(AutoEvalColumn.precision.name, type="checkboxgroup", label="Precision"),
+      ColumnFilter(AutoEvalColumn.params.name, type="slider", min=0.01, max=150, label="Select the number of parameters (B)"),
+      ColumnFilter(AutoEvalColumn.still_on_hub.name, type="boolean", label="Deleted/incomplete", default=True),
+    ],
+    bool_checkboxgroup_label="Hide models",
+    interactive=False,
+  )
   def display_user_data(user_id):
     user_data = data.load_data()
     if user_id in user_data: