import os from huggingface_hub import HfApi # Info to change for your repository # ---------------------------------- TOKEN = os.environ.get("TOKEN") # A read/write token for your org # ---------------------------------- OWNER = "qanta-challenge" REPO_ID = f"{OWNER}/quizbowl-submission" QUEUE_REPO = f"{OWNER}/advcal-requests" RESULTS_REPO = f"{OWNER}/advcal-results" LLM_CACHE_REPO = f"{OWNER}/advcal-llm-cache" USERS_REPO = f"{OWNER}/registered-users" ADMIN_USERS = ["mgor"] EVAL_SPLITS = {"Week 2": "w2_eval", "Week 1": "w1_eval", "Week 0": "tiny_eval"} CUTOFF_DATES = {"Week 1": "2025-05-30", "Week 0": "2025-05-23", "Week 2": "2025-06-10"} # Important Links QANTA_WEBSITE_URL = "https://sites.google.com/view/qanta/home" COMPETITION_URL = "https://sites.google.com/view/qanta/2025-competition" DOCS_REPO_URL = "https://github.com/qanta-challenge/QANTA25" DOCS_URL = DOCS_REPO_URL + "/tree/main" GITHUB_ISSUES_URL = DOCS_REPO_URL + "/issues" CONTACT_EMAIL = "qanta@googlegroups.com" DISCORD_URL = "https://discord.gg/ChmDVatJ6Y" REGISTRATION_URL = "https://huggingface.co/spaces/qanta-challenge/register" SUBMISSION_URL = "https://huggingface.co/spaces/qanta-challenge/quizbowl-submission" EXAMPLES_PATH = "examples" # ---------------------------------- # If you setup a cache later, just change HF_HOME CACHE_PATH = os.getenv("HF_HOME", ".") # Local caches LLM_CACHE_PATH = os.path.join(CACHE_PATH, "llm-cache") USERS_PATH = os.path.join(CACHE_PATH, "registered-users") 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-bk") EVAL_RESULTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-results-bk") LLM_CACHE_REFRESH_INTERVAL = 600 # seconds (30 minutes) SERVER_RESTART_INTERVAL = 2 * 24 * 60 * 60 # seconds (2 days) LEADERBOARD_REFRESH_INTERVAL = 600 # seconds (10 minutes) API = HfApi(token=TOKEN)