Update src/envs.py

src/envs.py

@@ -4,25 +4,22 @@ 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("HF_TOKEN") # A read/write token for your org
 
-DEVICE = "cpu" # "cuda:0" if you add compute
-LIMIT = None # !!!! Should be None for actual evaluations!!!
+OWNER = "demo-leaderboard-backend" # Change to your org - don't forget to create a results and request dataset, with the correct format!
 # ----------------------------------
 
-OWNER = "openlifescienceai"
-REPO_ID = f"{OWNER}/open_medical_llm_leaderboard"
+REPO_ID = f"{OWNER}/leaderboard"
 QUEUE_REPO = f"{OWNER}/requests"
 RESULTS_REPO = f"{OWNER}/results"
 
-
 # If you setup a cache later, just change HF_HOME
 CACHE_PATH=os.getenv("HF_HOME", ".")
 
 # 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")
-EVAL_RESULTS_PATH_BACKEND = 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")
 
 API = HfApi(token=TOKEN)