run.py

import dotenv
import hydra
from omegaconf import DictConfig

# load environment variables from `.env` file if it exists
# recursively searches for `.env` in all folders starting from work dir
dotenv.load_dotenv(override=True)


@hydra.main(config_path="configs/", config_name="config.yaml")
def main(config: DictConfig):

    # Imports can be nested inside @hydra.main to optimize tab completion
    # Read more here: https://github.com/facebookresearch/hydra/issues/934
    from src.train import train
    from src.utils import utils

    # A couple of optional utilities:
    # - printing config with Rich
    # - disabling python warnings
    utils.extras(config)

    # Train model
    return train(config)



if __name__ == "__main__":
    main()