remove type errors

app.py

@@ -566,13 +566,16 @@ def update_leaderboard(dataframe: pd.DataFrame, selected_task_substrings: List[s
         return df_transformed
 
     if show_average:
-        means = filtered_dataframe.replace("-", float("nan")).mean(axis=1, skipna=False)
+        numeric_df = filtered_dataframe.select_dtypes(include=[np.number])
+        means = numeric_df.mean(axis=1, skipna=False)
+        # means = filtered_dataframe.replace("-", float("nan")).mean(axis=1, skipna=False)
         s_filtered_dataframe = _transform_floats(filtered_dataframe)
-        s_means = s_filtered_dataframe.replace("-", float("nan")).mean(axis=1, skipna=False)
-        filtered_dataframe["Average"] = means.round(2)
-        filtered_dataframe["Score"] = s_means.round(2)
+        numeric_s_df = s_filtered_dataframe.select_dtypes(include=[np.number])
+        # s_means = s_filtered_dataframe.replace("-", float("nan")).mean(axis=1, skipna=False)
+        s_means = numeric_s_df.mean(axis=1, skipna=False)
+        filtered_dataframe.loc[:, "Average"] = np.where(filtered_dataframe.eq("-").any(axis=1), "-", means.round(2))
+        filtered_dataframe.loc[:, "Score"] = np.where(filtered_dataframe.eq("-").any(axis=1), "-", s_means.round(2))
         filtered_dataframe = filtered_dataframe.sort_values(by=["Average"], ascending=False, na_position='last')
-        filtered_dataframe = filtered_dataframe.replace(float("nan"), "-")
 
     # if show_average:
     #     print([row for index, row in filtered_dataframe.iterrows()])