content: #  Copyright (c) ZenML GmbH 2022. All Rights Reserved.
  #
  #  Licensed under the Apache License, Version 2.0 (the "License");
  #  you may not use this file except in compliance with the License.
  #  You may obtain a copy of the License at:
  #
  #       https://www.apache.org/licenses/LICENSE-2.0
  #
  #  Unless required by applicable law or agreed to in writing, software
  #  distributed under the License is distributed on an "AS IS" BASIS,
  #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
  #  or implied. See the License for the specific language governing
  #  permissions and limitations under the License.
  import os
  from typing import Dict, List
  
  from numpy import asarray
  from PIL import Image
  
  from zenml import step
  
  
  @step(enable_cache=False)
  def inference_loader() -> Dict[str, List]:
      """Load an image and make it available for inference.
  
      This step is used to load an image from a URL make as a numpy array and
      dump it as a JSON string.
  
      Args:
          params: The parameters for the step.
  
      Returns:
          The request body includes a base64 coded image for the inference request.
      """
      # get the path/directory
      folder_dir = "./inference_samples"
  
      images = {}
      for image in os.listdir(folder_dir):
          # check if the image ends with png
          img = Image.open(os.path.join(folder_dir, image))
          numpydata = asarray(img)
          input = numpydata.tolist()
          images[image] = input
      return images
  