import os
import numpy
from pathlib import Path
from typing import NamedTuple
from torchvision import transforms

from towhee.operator import Operator
from towhee.utils.pil_utils import to_pil
from towhee.types.image import Image

import warnings
warnings.filterwarnings("ignore")

class AnimeganStyleTransfer(Operator):
     """
     PyTorch model for image embedding.
     """
     def __init__(self, model_name: str, framework: str = 'pytorch') -> None:
         super().__init__()
         if framework == 'pytorch':
             import importlib.util
             path = os.path.join(str(Path(__file__).parent), 'pytorch', 'model.py')
             opname = os.path.basename(str(Path(__file__))).split('.')[0]
             spec = importlib.util.spec_from_file_location(opname, path)
             module = importlib.util.module_from_spec(spec)
             spec.loader.exec_module(module)
         self.model = module.Model(model_name)
         self.tfms = transforms.Compose([
                                         transforms.ToTensor()
                                        ])
 
     def __call__(self, image: 'towhee.types.Image') -> NamedTuple('Outputs', [('styled_image', numpy.ndarray)]):
         img = self.tfms(to_pil(image)).unsqueeze(0)
         styled_image = self.model(img)
         Outputs = NamedTuple('Outputs', [('styled_image', numpy.ndarray)])
         return Outputs(styled_image)