import gc
import PIL.Image
import torch
from controlnet_aux import LineartDetector

class Preprocessor:
    MODEL_ID = "lllyasviel/Annotators"

    def __init__(self):
        self.model = None
        self.name = ""

    def load(self, name: str) -> None:
        if name == self.name:
            return
        if name == "Lineart":
            self.model = LineartDetector.from_pretrained(self.MODEL_ID)

        else:
            raise ValueError
        torch.cuda.empty_cache()
        gc.collect()
        self.name = name

    def __call__(self, image: PIL.Image.Image, **kwargs) -> PIL.Image.Image:
            return self.model(image, **kwargs)