backend/app/config/hf_config.py

import os
from pathlib import Path
from huggingface_hub import HfApi

# Load environment variables from .env file
try:
    from dotenv import load_dotenv
    # Look for .env file in the project root
    env_path = Path(__file__).parent.parent.parent / ".env"
    if env_path.exists():
        load_dotenv(env_path)
        print(f"Loaded .env from: {env_path}")
    else:
        # Try loading from current directory
        load_dotenv()
        print("Loaded .env from current directory")
except ImportError:
    print("python-dotenv not available, using system environment only")

# Configuration for Icelandic LLM Leaderboard
HF_TOKEN = os.environ.get("HF_TOKEN")
HF_ORGANIZATION = "mideind"

# Debug: Print token status (first 10 chars only for security)
if HF_TOKEN:
    print(f"HF_TOKEN loaded: {HF_TOKEN[:10]}...")
else:
    print("HF_TOKEN not found in environment")

# Repository configuration
REPO_ID = f"{HF_ORGANIZATION}/icelandic-llm-leaderboard"
QUEUE_REPO = f"{HF_ORGANIZATION}/icelandic-llm-leaderboard-requests"
RESULTS_REPO = f"{HF_ORGANIZATION}/llm-leaderboard-results"

# Local cache paths
HF_HOME = os.getenv("HF_HOME", ".")
EVAL_REQUESTS_PATH = os.path.join(HF_HOME, "eval-queue")
EVAL_RESULTS_PATH = os.path.join(HF_HOME, "eval-results")

# API instance
API = HfApi(token=HF_TOKEN)