| lite_metadata: | |
| gradio_version: 3.32.0 | |
| liteobj_version: 0.0.7 | |
| class_string: gradio.interface.Interface | |
| kwargs: | |
| title: Gradio Webapp | |
| description: Given a pil image apply glitch to it | |
| article: null | |
| thumbnail: null | |
| theme: gradio/seafoam | |
| css: null | |
| allow_flagging: never | |
| inputs: | |
| - class_string: gradio.components.Image | |
| kwargs: | |
| label: image | |
| type: pil | |
| outputs: | |
| - class_string: gradio.components.Image | |
| kwargs: | |
| label: output | |
| type: pil | |
| fn: | |
| class_string: gradify.gradify_closure | |
| kwargs: | |
| argmaps: | |
| - label: image | |
| postprocessing: null | |
| func_kwargs: {} | |
| source: "from PIL import Image\nimport random\n\n\ndef apply_glitch(image):\n\ | |
| \ pixels = image.load()\n width, height = image.size\n for i in range(width):\n\ | |
| \ for j in range(height):\n r, g, b = pixels[i, j]\n \ | |
| \ if random.random() < 0.05:\n pixels[i, j] = g, b,\ | |
| \ r\n return image\n" | |