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Update app.py
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app.py
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@@ -5,7 +5,7 @@ import numpy as np
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from PIL import Image
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import io
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# Load
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model = from_pretrained_keras("google/maxim-s3-deblurring-reds")
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def deblur_image(input_image):
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@@ -14,10 +14,10 @@ def deblur_image(input_image):
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image = tf.convert_to_tensor(image)
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image = tf.image.resize(image, (256, 256))
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#
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predictions = model.predict(tf.expand_dims(image, 0))
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# Convert back to image
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output_image = predictions[0].numpy().astype(np.uint8)
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output_image = Image.fromarray(output_image)
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@@ -35,4 +35,4 @@ iface = gr.Interface(fn=deblur_image,
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live=True)
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# Launch the Gradio interface
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iface.launch()
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from PIL import Image
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import io
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# Load the model from Hugging Face Hub using from_pretrained_keras
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model = from_pretrained_keras("google/maxim-s3-deblurring-reds")
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def deblur_image(input_image):
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image = tf.convert_to_tensor(image)
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image = tf.image.resize(image, (256, 256))
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# Make predictions with the model
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predictions = model.predict(tf.expand_dims(image, 0))
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# Convert the prediction back to an image
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output_image = predictions[0].numpy().astype(np.uint8)
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output_image = Image.fromarray(output_image)
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live=True)
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# Launch the Gradio interface
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iface.launch()
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