gradio/demo/fake_gan/run.ipynb
Abubakar Abid bd2c695328
Adds a gr.DownloadButton component (#7518)
* py

* path

* barebones js

* add changeset

* add changeset

* downloadbutton

* add changeset

* changes

* clog

* commit

* revert'

* fix

* js

* add changeset

* cleanup

* download

* notebooks

* stories

* change

* fix

* format

* download

* Fix updating `icon` parameter (bug resulting from https://github.com/gradio-app/gradio/pull/7528) (#7554)

* fetch 2

* fix

---------

Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>
2024-02-28 12:07:36 -08:00

2.1 KiB

Gradio Demo: fake_gan

This is a fake GAN that shows how to create a text-to-image interface for image generation. Check out the Stable Diffusion demo for more: https://hf.co/spaces/stabilityai/stable-diffusion/

    
In [ ]:
!pip install -q gradio 
In [ ]:
# This demo needs to be run from the repo folder.
# python demo/fake_gan/run.py
import random

import gradio as gr


def fake_gan():
    images = [
        (random.choice(
            [
                "http://www.marketingtool.online/en/face-generator/img/faces/avatar-1151ce9f4b2043de0d2e3b7826127998.jpg",
                "http://www.marketingtool.online/en/face-generator/img/faces/avatar-116b5e92936b766b7fdfc242649337f7.jpg",
                "http://www.marketingtool.online/en/face-generator/img/faces/avatar-1163530ca19b5cebe1b002b8ec67b6fc.jpg",
                "http://www.marketingtool.online/en/face-generator/img/faces/avatar-1116395d6e6a6581eef8b8038f4c8e55.jpg",
                "http://www.marketingtool.online/en/face-generator/img/faces/avatar-11319be65db395d0e8e6855d18ddcef0.jpg",
            ]
        ), f"label {i}")
        for i in range(3)
    ]
    return images


with gr.Blocks() as demo:
    gallery = gr.Gallery(
        label="Generated images", show_label=False, elem_id="gallery"
    , columns=[3], rows=[1], object_fit="contain", height="auto")
    btn = gr.Button("Generate images", scale=0)

    btn.click(fake_gan, None, gallery)

if __name__ == "__main__":
    demo.launch()