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# 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()
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