try2

.gitignore

@@ -7,7 +7,7 @@ __pycache__/
 .vscode/
 
 eval-queue/
-eval-results/
+eval-results2/
 eval-queue-bk/
 eval-results-bk/
 logs/

main_backend.py

@@ -22,8 +22,8 @@ FINISHED_STATUS = "FINISHED"
 FAILED_STATUS = "FAILED"
 
 print('Downloading results and requests.')
-snapshot_download(repo_id=RESULTS_REPO, revision="main", local_dir=EVAL_RESULTS_PATH_BACKEND, repo_type="dataset", max_workers=60, token=TOKEN)
-snapshot_download(repo_id=QUEUE_REPO, revision="main", local_dir=EVAL_REQUESTS_PATH_BACKEND, repo_type="dataset", max_workers=60, token=TOKEN)
+# snapshot_download(repo_id=RESULTS_REPO, revision="main", local_dir=EVAL_RESULTS_PATH_BACKEND, repo_type="dataset", max_workers=60, token=TOKEN)
+# snapshot_download(repo_id=QUEUE_REPO, revision="main", local_dir=EVAL_REQUESTS_PATH_BACKEND, repo_type="dataset", max_workers=60, token=TOKEN)
 
 # def run_auto_eval():
 #     current_pending_status = [PENDING_STATUS]

src/envs.py

@@ -17,11 +17,13 @@ RESULTS_REPO = f"{OWNER}/open_pl_llm_leaderboard_results"
 
 # If you setup a cache later, just change HF_HOME
 CACHE_PATH=os.getenv("HF_HOME", ".")
-
+print('CACHE_PATH', CACHE_PATH)
 # Local caches
 EVAL_REQUESTS_PATH = os.path.join(CACHE_PATH, "eval-queue")
 EVAL_RESULTS_PATH = os.path.join(CACHE_PATH, "eval-results")
 EVAL_REQUESTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-queue-bk")
 EVAL_RESULTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-results-bk")
 
+print('EVAL_RESULTS_PATH', EVAL_RESULTS_PATH)
+
 API = HfApi(token=TOKEN)