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---------
Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>
Co-authored-by: aliabd <ali.si3luwa@gmail.com>
Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
26 lines
916 B
Python
26 lines
916 B
Python
import time
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import gradio as gr
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def fake_gan():
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time.sleep(1)
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images = [
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"https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80",
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"https://images.unsplash.com/photo-1554151228-14d9def656e4?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=386&q=80",
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"https://images.unsplash.com/photo-1542909168-82c3e7fdca5c?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8aHVtYW4lMjBmYWNlfGVufDB8fDB8fA%3D%3D&w=1000&q=80",
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]
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return images
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demo = gr.Interface(
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fn=fake_gan,
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inputs=None,
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outputs=gr.Gallery(label="Generated Images", columns=[2]),
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title="FD-GAN",
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description="This is a fake demo of a GAN. In reality, the images are randomly chosen from Unsplash.",
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)
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if __name__ == "__main__":
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demo.launch()
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