test

src/envs.py

@@ -6,10 +6,10 @@ from huggingface_hub import HfApi
 TOKEN = os.environ.get("TOKEN", None)
 
 OWNER = "huohua0314"
-TEST = "demo-leaderboard-backend"
+OWNER  = "demo-leaderboard-backend"
 REPO_ID = f"{OWNER}/OPENT2T"
-QUEUE_REPO = f"{TEST}/requests"
-RESULTS_REPO = f"{TEST}/results"
+QUEUE_REPO = f"{OWNER}/requests"
+RESULTS_REPO = f"{OWNER}/results"
 
 CACHE_PATH=os.getenv("HF_HOME", ".")
 

src/populate.py

@@ -16,13 +16,12 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     df = pd.DataFrame.from_records(all_data_json)
     print(df)
     print(AutoEvalColumn.average.name)
-    if df != {}:
-        df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
-    
-        df = df[cols].round(decimals=2)
+    df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
 
-    # filter out if any of the benchmarks have not been produced
-        df = df[has_no_nan_values(df, benchmark_cols)]
+    df = df[cols].round(decimals=2)
+
+# filter out if any of the benchmarks have not been produced
+    df = df[has_no_nan_values(df, benchmark_cols)]
     return raw_data, df