| import os | |
| from huggingface_hub import HfApi | |
| # Info to change for your repository | |
| # ---------------------------------- | |
| TOKEN = os.environ.get("HF_TOKEN") # A read/write token for your org | |
| OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY") | |
| ANTHROPIC_API_KEY = os.environ.get("ANTHROPIC_API_KEY") | |
| COHERE_API_KEY = os.environ.get("COHERE_API_KEY") | |
| OWNER = ( | |
| "umdclip" # Change to your org - don't forget to create a results and request dataset, with the correct format! | |
| ) | |
| # ---------------------------------- | |
| REPO_ID = f"{OWNER}/advcal-leaderboard" | |
| QUEUE_REPO = f"{OWNER}/advcal-requests" | |
| RESULTS_REPO = f"{OWNER}/advcal-results" | |
| PLAYGROUND_DATASET_NAMES = { | |
| "tossup": "umdclip/acf-co24-tossups", | |
| "bonus": "umdclip/acf-co24-bonuses", | |
| } | |
| # 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-bk") | |
| EVAL_RESULTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-results-bk") | |
| API = HfApi(token=TOKEN) | |