Update src/populate.py

src/populate.py

@@ -13,20 +13,13 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     raw_data = get_raw_eval_results(results_path, requests_path)
     all_data_json = [v.to_dict() for v in raw_data]
 
-    print(all_data_json)
-
     df = pd.DataFrame.from_records(all_data_json)
-    print(df)
     df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False) if AutoEvalColumn.average.name in df.columns else df
-    print(df.columns)
     filtered_cols = [col for col in cols if col in df.columns]
-    print(filtered_cols)
     df = df[filtered_cols].round(decimals=2)
-    print(df)
 
     # filter out if any of the benchmarks have not been produced
     filtered_benchmark_cols = [col for col in benchmark_cols if col in df.columns]
-    print(filtered_benchmark_cols)
     df = df[has_no_nan_values(df, filtered_benchmark_cols)]
     return df