# This demo needs to be run from the repo folder. # python demo/fake_gan/run.py import os import random import time import gradio as gr def fake_gan(count, *args): time.sleep(1) images = [ random.choice( [ "https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80", "https://images.unsplash.com/photo-1554151228-14d9def656e4?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=386&q=80", "https://images.unsplash.com/photo-1542909168-82c3e7fdca5c?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8aHVtYW4lMjBmYWNlfGVufDB8fDB8fA%3D%3D&w=1000&q=80", "https://images.unsplash.com/photo-1546456073-92b9f0a8d413?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80", "https://images.unsplash.com/photo-1601412436009-d964bd02edbc?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=464&q=80", ] ) for _ in range(int(count)) ] return images cheetah = os.path.join(os.path.dirname(__file__), "files/cheetah1.jpg") demo = gr.Interface( fn=fake_gan, inputs=[ gr.Number(label="Generation Count"), gr.Image(label="Initial Image (optional)"), gr.Slider(0, 50, 25, label="TV_scale (for smoothness)"), gr.Slider(0, 50, 25, label="Range_Scale (out of range RBG)"), gr.Number(label="Seed"), gr.Number(label="Respacing"), ], outputs=gr.Gallery(label="Generated Images"), title="FD-GAN", description="This is a fake demo of a GAN. In reality, the images are randomly chosen from Unsplash.", examples=[ [2, cheetah, 12, None, None, None], [1, cheetah, 2, None, None, None], [4, cheetah, 42, None, None, None], [5, cheetah, 23, None, None, None], [4, cheetah, 11, None, None, None], [3, cheetah, 1, None, None, None], ], ) if __name__ == "__main__": demo.launch()