text: # Copyright The PyTorch Lightning team.
  #
  # 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
  #
  #     http://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
  
  import flash
  from flash.core.data.utils import download_data
  from flash.core.utilities.flash_cli import FlashCLI
  from flash.image import StyleTransfer, StyleTransferData
  
  __all__ = ["style_transfer"]
  
  
  def from_coco_128(
      batch_size: int = 4,
      num_workers: int = 0,
      **data_module_kwargs,
  ) -> StyleTransferData:
      """Downloads and loads the COCO 128 data set."""
      download_data("https://github.com/zhiqwang/yolov5-rt-stack/releases/download/v0.3.0/coco128.zip", "data/")
      return StyleTransferData.from_folders(
          train_folder="data/coco128/images/train2017/",
          batch_size=batch_size,
          num_workers=num_workers,
          **data_module_kwargs,
      )
  
  
  def style_transfer():
      """Image style transfer."""
      cli = FlashCLI(
          StyleTransfer,
          StyleTransferData,
          default_datamodule_builder=from_coco_128,
          default_arguments={
              "trainer.max_epochs": 3,
              "model.style_image": os.path.join(flash.ASSETS_ROOT, "starry_night.jpg"),
          },
          finetune=False,
      )
  
      cli.trainer.save_checkpoint("style_transfer_model.pt")
  
  
  if __name__ == "__main__":
      style_transfer()
  