wehub-resource-sync
adf0d17497
publish / version_or_publish (push) Has been cancelled
storybook-build / changes (push) Has been cancelled
storybook-build / :storybook-build (push) Has been cancelled
Sync Gradio Skills to Hugging Face / sync-skills (push) Has been cancelled
functional / changes (push) Has been cancelled
functional / build-frontend (push) Has been cancelled
functional / functional-test-SSR=false (push) Has been cancelled
functional / functional-reload (push) Has been cancelled
js / changes (push) Has been cancelled
js / js-test (push) Has been cancelled
docs-build / changes (push) Has been cancelled
docs-build / docs-build (push) Has been cancelled
docs-build / website-build (push) Has been cancelled
functional / functional-test-SSR=true (push) Has been cancelled
hygiene / hygiene-test (push) Has been cancelled
python / changes (push) Has been cancelled
python / build (push) Has been cancelled
python / test-ubuntu-latest-flaky (push) Has been cancelled
python / test-ubuntu-latest-not-flaky (push) Has been cancelled
python / test-windows-latest-flaky (push) Has been cancelled
python / test-windows-latest-not-flaky (push) Has been cancelled
22 lines
535 B
Python
22 lines
535 B
Python
import gradio as gr
|
|
import numpy as np
|
|
import time
|
|
|
|
def fake_diffusion(steps):
|
|
rng = np.random.default_rng()
|
|
for i in range(steps):
|
|
time.sleep(1)
|
|
image = rng.random(size=(600, 600, 3))
|
|
yield image
|
|
image = np.ones((1000,1000,3), np.uint8)
|
|
image[:] = [255, 124, 0]
|
|
yield image
|
|
|
|
demo = gr.Interface(fake_diffusion,
|
|
inputs=gr.Slider(1, 10, 3, step=1),
|
|
outputs="image",
|
|
api_name="predict")
|
|
|
|
if __name__ == "__main__":
|
|
demo.launch()
|