Merge and debugging submissione error

app.py

@@ -3,6 +3,7 @@ import gradio as gr
 import pandas as pd
 from apscheduler.schedulers.background import BackgroundScheduler
 from huggingface_hub import snapshot_download
+from os import listdir
 
 from src.about import (
     CITATION_BUTTON_LABEL,
@@ -26,7 +27,7 @@ from src.display.utils import (
     WeightType,
     Precision
 )
-from src.envs import API, EVAL_REQUESTS_PATH, EVAL_RESULTS_PATH, QUEUE_REPO, REPO_ID, RESULTS_REPO
+from src.envs import API, EVAL_REQUESTS_PATH, EVAL_RESULTS_PATH, QUEUE_REPO, REPO_ID, RESULTS_REPO, TOKEN
 from src.populate import get_evaluation_queue_df, get_leaderboard_df
 from src.submission.submit import add_new_eval
 
@@ -40,18 +41,17 @@ def launch_backend():
     _ = subprocess.run(["python", "main_backend.py"])
 
 try:
-    print(EVAL_REQUESTS_PATH)
     snapshot_download(
-        repo_id=QUEUE_REPO, local_dir=EVAL_REQUESTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30
+        repo_id=QUEUE_REPO, local_dir=EVAL_REQUESTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30, token=TOKEN
     )
 except Exception:
     print("Could not download snapshot. Restarting.")
     restart_space()
 try:
-    print(EVAL_RESULTS_PATH)
     snapshot_download(
-        repo_id=RESULTS_REPO, local_dir=EVAL_RESULTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30
+        repo_id=RESULTS_REPO, local_dir=EVAL_RESULTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30, token=TOKEN
     )
+    print(listdir(EVAL_RESULTS_PATH))
 except Exception:
     print("Could not download snapshot. Restarting.")
     restart_space()

src/envs.py

@@ -4,7 +4,7 @@ from huggingface_hub import HfApi
 
 # Info to change for your repository
 # ----------------------------------
-TOKEN = os.environ.get("TOKEN") # A read/write token for your org
+TOKEN = os.environ.get("TOKEN") # A read/write user token for a user that has access to your org
 
 OWNER = "Bias-Leaderboard" # Change to your org - don't forget to create a results and request file
 DEVICE = "cpu" # cuda:0 if you add compute

src/submission/check_validity.py

@@ -36,6 +36,11 @@ def is_model_on_hub(model_name: str, revision: str, token: str = None, trust_rem
         config = AutoConfig.from_pretrained(model_name, revision=revision, trust_remote_code=trust_remote_code, token=token)
         if test_tokenizer:
             try:
+                print("TOKEN: %s" % token)
+                print("model name: %s" % model_name)
+                print("revision: %s" % revision)
+                print("trust remote code: %s" % trust_remote_code)
+
                 tk = AutoTokenizer.from_pretrained(model_name, revision=revision, trust_remote_code=trust_remote_code, token=token)
             except ValueError as e:
                 return (