| import random | |
| import time | |
| import gradio as gr | |
| def fake_gan(): | |
| time.sleep(1) | |
| images = [ | |
| "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", | |
| ] | |
| return images | |
| demo = gr.Interface( | |
| fn=fake_gan, | |
| inputs=None, | |
| outputs=gr.Gallery(label="Generated Images").style(grid=[2]), | |
| title="FD-GAN", | |
| description="This is a fake demo of a GAN. In reality, the images are randomly chosen from Unsplash.", | |
| ) | |
| demo.launch() | |