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Delete app.py
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app.py
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import torch
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from PIL import Image
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import numpy as np
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from RealESRGAN import RealESRGAN
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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model = RealESRGAN(device, scale=4)
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model.load_weights('weights/RealESRGAN_x4.pth', download=True)
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path_to_image = 'inputs/lr_image.png'
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image = Image.open(path_to_image).convert('RGB')
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sr_image = model.predict(image)
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sr_image.save('results/sr_image.png')
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