async def api_stop_training(job: JobIDModel, token: bool = Depends(api_auth)):
    """
    Stops the training job with the given job ID.

    This asynchronous function pauses the training job identified by the provided job ID.
    It uses the Hugging Face API to pause the space associated with the job.

    Args:
        job (JobIDModel): The job model containing the job ID.
        token (bool, optional): The authentication token, provided by dependency injection.

    Returns:
        dict: A dictionary containing a message and a success flag. If the training job
        was successfully stopped, the message indicates success and the success flag is True.
        If there was an error, the message contains the error details and the success flag is False.

    Raises:
        Exception: If there is an error while attempting to stop the training job.
    """
    hf_api = HfApi(token=token)
    job_id = job.jid
    try:
        hf_api.pause_space(repo_id=job_id)
    except Exception as e:
        logger.error(f"Failed to stop training: {e}")
        return {"message": f"Failed to stop training for {job_id}: {e}", "success": False}
    return {"message": f"Training stopped for {job_id}", "success": True}

    Stops the training job with the given job ID.

    This asynchronous function pauses the training job identified by the provided job ID.
    It uses the Hugging Face API to pause the space associated with the job.

    Args:
        job (JobIDModel): The job model containing the job ID.
        token (bool, optional): The authentication token, provided by dependency injection.

    Returns:
        dict: A dictionary containing a message and a success flag. If the training job
        was successfully stopped, the message indicates success and the success flag is True.
        If there was an error, the message contains the error details and the success flag is False.

    Raises:
        Exception: If there is an error while attempting to stop the training job.
    
src/autotrain/app/api_routes.py