lite_metadata:
  gradio_version: 3.32.0
class_string: gradio.interface.Interface
kwargs:
  title: Gradio Webapp
  description: given a PIL image, convert to anime
  article: null
  thumbnail: null
  theme: gradio/seafoam
  css: null
  allow_flagging: never
  inputs:
    class_string: liteobj.listify
    args:
    - class_string: gradio.components.Image
      kwargs:
        label: image
        type: pil
  outputs:
    class_string: liteobj.listify
    args:
    - class_string: gradio.components.Image
      kwargs:
        label: output
        type: pil
  fn:
    class_string: gradify.gradify_closure
    kwargs:
      argmaps:
        class_string: liteobj.listify
        args:
        - label: image
          postprocessing: null
      func_kwargs: {}
      ldict:
        class_string: gradify.exec_to_dict
        kwargs:
          source: "from PIL import Image\nimport numpy as np\n\n\ndef convert_to_anime(image):\n\
            \    img = np.array(image)\n    r, g, b = img[:, :, 0], img[:, :, 1],\
            \ img[:, :, 2]\n    gray = 0.2989 * r + 0.587 * g + 0.114 * b\n    gray\
            \ = gray.astype(np.uint8)\n    gray = np.stack([gray, gray, gray], axis=2)\n\
            \    return Image.fromarray(gray)\n"