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* changes * changes * revert changes * changes * add changeset * notebooks script * changes * changes --------- Co-authored-by: Ali Abid <aliabid94@gmail.com> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com>
18 lines
631 B
Python
18 lines
631 B
Python
import gradio as gr
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from data import df
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with gr.Blocks() as demo:
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with gr.Row():
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ethnicity = gr.Dropdown(["all", "white", "black", "asian"], value="all")
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max_age = gr.Slider(18, 65, value=65)
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def filtered_df(ethnic, age):
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_df = df if ethnic == "all" else df[df["ethnicity"] == ethnic]
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_df = _df[_df["age"] < age]
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return _df
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gr.ScatterPlot(filtered_df, inputs=[ethnicity, max_age], x="weight", y="height", title="Weight x Height")
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gr.LinePlot(filtered_df, inputs=[ethnicity, max_age], x="age", y="height", title="Age x Height")
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if __name__ == "__main__":
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demo.launch() |