change token name

app.py

@@ -15,7 +15,7 @@ from huggingface_hub import HfApi
 from scorer import question_scorer
 from content import format_warning, format_log, TITLE, INTRODUCTION_TEXT, CITATION_BUTTON_LABEL, CITATION_BUTTON_TEXT
 
-BALM_TOKEN = os.environ.get("WTOKEN", None)
+TOKEN = os.environ.get("TOKEN", None)
 
 OWNER="gaia-benchmark"
 DATA_DATASET = f"{OWNER}/GAIA"
@@ -30,18 +30,18 @@ YEAR_VERSION = "2023"
 os.makedirs("scored", exist_ok=True)
 
 # Display the results
-eval_results = load_dataset(RESULTS_DATASET, YEAR_VERSION, use_auth_token=BALM_TOKEN)
+eval_results = load_dataset(RESULTS_DATASET, YEAR_VERSION, use_auth_token=TOKEN)
 eval_dataframe_val = pd.DataFrame(eval_results["validation"].remove_columns("mail"))
 eval_dataframe_test = pd.DataFrame(eval_results["test"].remove_columns("mail"))
 
 # Gold answers
 gold_results = {}
-gold_dataset = load_dataset(INTERNAL_DATA_DATASET, f"{YEAR_VERSION}_all", use_auth_token=BALM_TOKEN)
+gold_dataset = load_dataset(INTERNAL_DATA_DATASET, f"{YEAR_VERSION}_all", use_auth_token=TOKEN)
 gold_results = {split: {row["task_id"]: row for row in gold_dataset[split]} for split in ["test", "validation"]}
 
 
 def restart_space():
-    api.restart_space(repo_id=LEADERBOARD_PATH, token=BALM_TOKEN)
+    api.restart_space(repo_id=LEADERBOARD_PATH, token=TOKEN)
 
 
 COLS = ["Model", "Score ⬆️", "Organisation"]
@@ -74,7 +74,7 @@ def add_new_eval(
         path_or_fileobj=path_to_file.name, 
         path_in_repo=f"{organisation}/{model}/{YEAR_VERSION}_{val_or_test}_raw_{datetime.datetime.today()}.jsonl",
         repo_type="dataset", 
-        token=BALM_TOKEN
+        token=TOKEN
     )
 
     # Compute score
@@ -114,7 +114,7 @@ def add_new_eval(
         path_or_fileobj=f"scored/{organisation}_{model}.jsonl",
         path_in_repo=f"{organisation}/{model}/{YEAR_VERSION}_{val_or_test}_scored_{datetime.datetime.today()}.jsonl", 
         repo_type="dataset", 
-        token=BALM_TOKEN
+        token=TOKEN
     )
 
     # Actual submission
@@ -129,13 +129,13 @@ def add_new_eval(
     }
     eval_results[val_or_test] = eval_results[val_or_test].add_item(eval_entry)
     print(eval_results)
-    eval_results.push_to_hub(RESULTS_DATASET, config_name = YEAR_VERSION, token=BALM_TOKEN)
+    eval_results.push_to_hub(RESULTS_DATASET, config_name = YEAR_VERSION, token=TOKEN)
 
     return format_log(f"Model {model} submitted by {organisation} successfully. \nPlease refresh the leaderboard, and wait for up to an hour to see the score displayed")
 
 
 def refresh():
-    eval_results = load_dataset(RESULTS_DATASET, YEAR_VERSION, use_auth_token=BALM_TOKEN, download_mode="force_redownload")
+    eval_results = load_dataset(RESULTS_DATASET, YEAR_VERSION, use_auth_token=TOKEN, download_mode="force_redownload")
     eval_dataframe_val = pd.DataFrame(eval_results["validation"].remove_columns("mail"))
     eval_dataframe_test = pd.DataFrame(eval_results["test"].remove_columns("mail"))
     return eval_dataframe_val, eval_dataframe_test