Update src/envs.py

src/envs.py

@@ -5,19 +5,18 @@ from huggingface_hub import HfApi
 
 H4_TOKEN = os.environ.get("HF_SECRET", None) 
 
-# REPO_ID = "pminervini/hallucinations-leaderboard"
-REPO_ID = "CDT-BMAI-GP/biomed_probing_leaderboard" # "chaeeunlee/test_leaderboard" # "hallucinations-leaderboard/leaderboard" 
+REPO_ID = "openlifescienceai/open_medical_llm_leaderboard" 
 
-QUEUE_REPO = "chaeeunlee/test_requests"
-RESULTS_REPO = "chaeeunlee/test_results"
+QUEUE_REPO = "openlifescienceai/test_requests"
+RESULTS_REPO = "openlifescienceai/test_results"
 
 # have not created these repos yet
-PRIVATE_QUEUE_REPO = "chaeeunlee/test_private-requests"
-PRIVATE_RESULTS_REPO = "chaeeunlee/test_private-results"
+PRIVATE_QUEUE_REPO = "openlifescienceai/test_private-requests"
+PRIVATE_RESULTS_REPO = "openlifescienceai/test_private-results"
 
 IS_PUBLIC = bool(os.environ.get("IS_PUBLIC", True))
 
-# CACHE_PATH = "/Users/chaeeunlee/Documents/VSC_workspaces/test_leaderboard" # 
+
 CACHE_PATH = os.getenv("HF_HOME", ".") 
 
 print(f"CACHE_PATH = {CACHE_PATH}")
@@ -28,7 +27,6 @@ EVAL_RESULTS_PATH = os.path.join(CACHE_PATH, "eval-results")
 EVAL_REQUESTS_PATH_PRIVATE = "eval-queue-private"
 EVAL_RESULTS_PATH_PRIVATE = "eval-results-private"
 
-# PATH_TO_COLLECTION = "hallucinations-leaderboard/llm-leaderboard-best-models-652d6c7965a4619fb5c27a03" # ??
 
 # Rate limit variables
 RATE_LIMIT_PERIOD = 7
@@ -36,4 +34,4 @@ RATE_LIMIT_QUOTA = 5
 HAS_HIGHER_RATE_LIMIT = ["TheBloke"]
 
 API = HfApi(token=H4_TOKEN)
-# API = HfApi()
+# API = HfApi()