import gradio as gr from skimage import io from pyxelate import Pyx, Pal def pixel(image): image = io.imread(image.name) downsample_by = 14 # new image will be 1/14th of the original in size palette = 7 # find 7 colors # 1) Instantiate Pyx transformer pyx = Pyx(factor=downsample_by, palette=palette,depth=2,upscale = 14) # 2) fit an image, allow Pyxelate to learn the color palette pyx.fit(image) # 3) transform image to pixel art using the learned color palette new_image = pyx.transform(image) # save new image with 'skimage.io.imsave()' io.imsave("pixel.png", new_image) return "pixel.png" title = "Pyxelate" description = "Gradio demo for Pyxelate: converts images to 8-bit pixel art. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below." article = "

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" gr.Interface( pixel, [gr.inputs.Image(type="file", label="Input")], gr.outputs.Image(type="file", label="Output"), title=title, description=description, article=article, enable_queue=True, examples=[['mona.jpeg']] ).launch(debug=True)