demo.yaml

lite_metadata:
  gradio_version: 3.32.0
class_string: gradio.interface.Interface
kwargs:
  title: Gradio Webapp
  description: 'Given two png images, find the L1 loss '
  article: null
  thumbnail: null
  theme: gradio/seafoam
  css: null
  allow_flagging: never
  inputs:
    class_string: liteobj.listify
    args:
    - class_string: gradio.components.Textbox
      kwargs:
        label: image1
    - class_string: gradio.components.Textbox
      kwargs:
        label: image2
  outputs:
    class_string: liteobj.listify
    args:
    - class_string: gradio.components.Number
      kwargs:
        label: output
  fn:
    class_string: gradify.gradify_closure
    kwargs:
      argmaps:
        class_string: liteobj.listify
        args:
        - label: image1
          postprocessing: null
        - label: image2
          postprocessing: null
      func_kwargs: {}
      ldict:
        class_string: gradify.exec_to_dict
        kwargs:
          source: "from PIL import Image\n\n\ndef l1_loss(image1, image2):\n    img1\
            \ = Image.open(image1)\n    img2 = Image.open(image2)\n    pixels1 = img1.load()\n\
            \    pixels2 = img2.load()\n    width, height = img1.size\n    loss =\
            \ 0\n    for x in range(width):\n        for y in range(height):\n   \
            \         for c in range(3):\n                loss += abs(pixels1[x, y][c]\
            \ - pixels2[x, y][c])\n    return loss / (width * height * 3)\n"