Files
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
chore: import upstream snapshot with attribution
2026-07-13 13:17:32 +08:00

18 lines
647 B
Python

import gradio as gr
from data import df # type: ignore
with gr.Blocks() as demo:
with gr.Row():
ethnicity = gr.Dropdown(["all", "white", "black", "asian"], value="all")
max_age = gr.Slider(18, 65, value=65)
def filtered_df(ethnic, age):
_df = df if ethnic == "all" else df[df["ethnicity"] == ethnic]
_df = _df[_df["age"] < age]
return _df
gr.ScatterPlot(filtered_df, inputs=[ethnicity, max_age], x="weight", y="height", title="Weight x Height")
gr.LinePlot(filtered_df, inputs=[ethnicity, max_age], x="age", y="height", title="Age x Height")
if __name__ == "__main__":
demo.launch()