| import os | |
| 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" | |
| QUEUE_REPO = "chaeeunlee/test_requests" | |
| RESULTS_REPO = "chaeeunlee/test_results" | |
| # have not created these repos yet | |
| PRIVATE_QUEUE_REPO = "chaeeunlee/test_private-requests" | |
| PRIVATE_RESULTS_REPO = "chaeeunlee/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}") | |
| EVAL_REQUESTS_PATH = os.path.join(CACHE_PATH, "eval-queue") | |
| 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 | |
| RATE_LIMIT_QUOTA = 5 | |
| HAS_HIGHER_RATE_LIMIT = ["TheBloke"] | |
| API = HfApi(token=H4_TOKEN) | |
| # API = HfApi() | |