class PreTrainedPipeline():
    def __init__(self, path=""):
        # IMPLEMENT_THIS
        # Preload all the elements you are going to need at inference.
        # For instance your model, processors, tokenizer that might be needed.
        # This function is only called once, so do all the heavy processing I/O here"""
        raise NotImplementedError(
            "Please implement PreTrainedPipeline __init__ function"
        )
 
    def __call__(self, inputs: str):
        """
        Args:
            inputs (:obj:`str`):
                a string containing some text
        Return:
            A :obj:`PIL.Image` with the raw image representation as PIL.
        """
        # IMPLEMENT_THIS
        raise NotImplementedError(
            "Please implement PreTrainedPipeline __call__ function"
        )