docker_images/common/app/pipelines/text_to_image.py

from typing import TYPE_CHECKING

from app.pipelines import Pipeline


if TYPE_CHECKING:
    from PIL import Image


class TextToImagePipeline(Pipeline):
    def __init__(self, model_id: str):
        # IMPLEMENT_THIS
        # Preload all the elements you are going to need for 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 TextToImagePipeline.__init__ function"
        )

    def __call__(self, inputs: str) -> "Image.Image":
        """
        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 TextToImagePipeline.__call__ function"
        )