src/envs.py

import os

from huggingface_hub import HfApi

# replace this with our token
TOKEN = os.environ.get("HF_TOKEN", None)

OWNER = "vectara"
REPO_ID = f"{OWNER}/leaderboard"
QUEUE_REPO = f"{OWNER}/requests"
RESULTS_REPO = f"{OWNER}/results"

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")

DEVICE = "cpu"
API = HfApi(token=TOKEN)

SOURCE_PATH = "src/datasets/leaderboard_dataset.csv"
HEM_PATH = 'vectara/hallucination_evaluation_model'