src/envs.py

import os

from huggingface_hub import HfApi


H4_TOKEN = os.environ.get("HF_SECRET", None) 

REPO_ID = "openlifescienceai/open_medical_llm_leaderboard" 

QUEUE_REPO = "openlifescienceai/test_requests"
RESULTS_REPO = "openlifescienceai/test_results"

# have not created these repos yet
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 = 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"


# Rate limit variables
RATE_LIMIT_PERIOD = 7
RATE_LIMIT_QUOTA = 5
HAS_HIGHER_RATE_LIMIT = ["TheBloke"]

API = HfApi(token=H4_TOKEN)
# API = HfApi()