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  1. app.py +8 -8
app.py CHANGED
@@ -103,21 +103,21 @@ image = gr.inputs.Image()
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  style = gr.inputs.Image()
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  # Examples
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- example1 = ['sofa_example1.jpg','style_example1.jpg'],
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- example2 = ['sofa_example1.jpg','style_example2.jpg'],
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- example3 = ['sofa_example1.jpg','style_example3.jpg'],
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- example4 = ['sofa_example1.jpg','style_example4.jpg'],
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- example5 = ['sofa_example1.jpg','style_example5.jpg'],
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  demo = gr.Interface(
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  style_sofa,
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  inputs = [image,style],
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  outputs = 'image',
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- examples=[example1,example2,example3,example4,example5],
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  title="πŸ›‹ Style your sofa πŸ›‹ ",
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- description="Customize your sofa to your wildest dreams!\
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  \nProvide a picture of your sofa and a desired pattern\
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- or choose one of the examples below",
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  # article="**References**\n\n"
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  # "<a href='https://www.tensorflow.org/hub/tutorials/tf2_arbitrary_image_stylization' target='_blank'>1. Tutorial to implement Fast Neural Style Transfer using the pretrained model from TensorFlow Hub</a> \n"
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  # "<a href='https://huggingface.co/spaces/luca-martial/neural-style-transfer' target='_blank'>2. The idea to build a neural style transfer application was inspired from this Hugging Face Space </a>"
 
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  style = gr.inputs.Image()
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  # Examples
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+ example1 = ['sofa_example1.jpg','style_example1.jpg']
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+ example2 = ['sofa_example1.jpg','style_example2.jpg']
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+ example3 = ['sofa_example1.jpg','style_example3.jpg']
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+ example4 = ['sofa_example1.jpg','style_example4.jpg']
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+ example5 = ['sofa_example1.jpg','style_example5.jpg']
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  demo = gr.Interface(
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  style_sofa,
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  inputs = [image,style],
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  outputs = 'image',
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+ examples= [example1, example2, example3 ,example4 ,example5],
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  title="πŸ›‹ Style your sofa πŸ›‹ ",
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+ description="Customize your sofa to your 🌈 wildest dreams 🌈!\
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  \nProvide a picture of your sofa and a desired pattern\
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+ or choose one of the examples below. ⬇️",
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  # article="**References**\n\n"
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  # "<a href='https://www.tensorflow.org/hub/tutorials/tf2_arbitrary_image_stylization' target='_blank'>1. Tutorial to implement Fast Neural Style Transfer using the pretrained model from TensorFlow Hub</a> \n"
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  # "<a href='https://huggingface.co/spaces/luca-martial/neural-style-transfer' target='_blank'>2. The idea to build a neural style transfer application was inspired from this Hugging Face Space </a>"