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app.py
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import gradio as gr
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import imageio
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from PIL import Image
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source_img = gr.Image(source="upload", type="filepath", tool="sketch");
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outputs = [gr.outputs.Image(type="file",label="output"),gr.outputs.Image(type="file",label="Mask")]
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def resize(height,img):
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baseheight = height
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img = Image.open(img)
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hpercent = (baseheight/float(img.size[1]))
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wsize = int((float(img.size[0])*float(hpercent)))
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img = img.resize((wsize,baseheight), Image.Resampling.LANCZOS)
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return img
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def predict(source_img):
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#print(sketch)
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#print(sketch.mode)
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#sketch_png = resize(512,source_img)
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#sketch_png.save('source.png')
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#print(sketch_png)
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imageio.imwrite("data.png", img["image"])
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imageio.imwrite("data_mask.png", img["mask"])
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return "data.png", "data_mask.png"
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gr.Interface(fn=predict, inputs=source_img, outputs=outputs).launch(enable_queue=True)
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