uploade populate

src/populate.py

@@ -17,6 +17,14 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
     df = df[cols].round(decimals=2)
 
-    # filter out if any of the benchmarks have not been produced
+    # Filter out if any of the benchmarks have not been produced
     df = df[has_no_nan_values(df, benchmark_cols)]
     return df
+
+
+def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
+    """Creates the different dataframes for the evaluation queues requests"""
+    # Since evaluations are performed immediately, the queues will be empty
+    # We'll return empty DataFrames for compatibility
+    df_empty = pd.DataFrame(columns=cols)
+    return df_empty, df_empty, df_empty