leaderboard name added to env

app.py

@@ -32,21 +32,21 @@ from src.submission.submit import add_new_eval
 def restart_space():
     API.restart_space(repo_id=REPO_ID)
 
-### Space initialisation
-# 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, token=TOKEN
-#     )
-# except Exception:
-#     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, token=TOKEN
-#     )
-# except Exception:
-#     restart_space()
+## Space initialisation
+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, token=TOKEN
+    )
+except Exception:
+    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, token=TOKEN
+    )
+except Exception:
+    restart_space()
 
 
 LEADERBOARD_DF = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS, BENCHMARK_COLS)

src/envs.py

@@ -10,7 +10,7 @@ TOKEN = os.environ.get("HF_TOKEN") # A read/write token for your org
 OWNER = "nvidia" # Change to your org - don't forget to create a results and request dataset, with the correct format!
 # ----------------------------------
 
-REPO_ID = f"{OWNER}/leaderboard"
+REPO_ID = f"{OWNER}/llm-robustness-leaderboard"
 QUEUE_REPO = f"{OWNER}/requests"
 RESULTS_REPO = f"{OWNER}/llm-robustness-leaderboard-evals"