start.py

import subprocess
from huggingface_hub import snapshot_download, login, HfApi
from app.config import config


def authenticate():
    if not config.HF_TOKEN:
        raise RuntimeError("HF_TOKEN is not set.")
    api  = HfApi()
    user = api.whoami(token=config.HF_TOKEN)
    print(f"Authenticated as: {user['name']}")
    login(token=config.HF_TOKEN, add_to_git_credential=False)


def download_models():
    models = [
        config.FASTTEXT_MODEL,
        config.TRANSLATION_MODEL,
        config.LLM_MODEL,
        *config.ASR_MODELS.values(),
    ]

    ignore = [
        "*.msgpack", "*.h5", "flax_model*", "tf_model*",
        "rust_model*", "optimizer.pt", "rng_state*",
        "training_args.bin", "trainer_state.json", "scheduler.pt",
    ]

    print("\nDownloading models...")
    for model_id in models:
        print(f"  {model_id}...")
        snapshot_download(
            repo_id=model_id,
            token=config.HF_TOKEN,
            ignore_patterns=ignore,
        )
        print(f"  ✓ {model_id}")

    print("\nAll models cached.")


if __name__ == "__main__":
    authenticate()
    download_models()

    subprocess.run(
        ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"],
        check=True,
    )