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import gradio as gr | |
from gradio_imagefeed import ImageFeed | |
import time | |
from PIL import Image, ImageFilter | |
import os | |
image = Image.open(os.path.join(os.path.dirname(__file__), "butterfly.png")) | |
blurred_images = [image.filter(ImageFilter.GaussianBlur(5-i)) for i in range(5)] | |
def fake_unblur(steps=5): | |
for i in range(steps): | |
yield blurred_images[i] | |
time.sleep(1) | |
yield image | |
with gr.Blocks() as demo: | |
with gr.Row(): | |
imagefeed = ImageFeed(label="Generated Images") | |
button = gr.Button("Start Generating") | |
button.click(fake_unblur, inputs=None, outputs=imagefeed) | |
if __name__ == "__main__": | |
demo.launch() | |