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import gradio as gr |
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import spotipy |
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from vega_datasets import data |
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iris = data.iris() |
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def scatter_plot_fn(dataset): |
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return gr.ScatterPlot( |
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value=iris |
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) |
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def get_started(): |
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return |
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with gr.Blocks() as demo: |
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gr.Markdown(" ## Spotify Analyzer 🥳🎉") |
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gr.Markdown("This app analyzes how cool your music taste is. We dare you to take this challenge!") |
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with gr.Row(): |
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get_started_btn = gr.Button("Get Started") |
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with gr.Row(): |
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with gr.Column(): |
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with gr.Row(): |
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with gr.Column(): |
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plot = gr.ScatterPlot(show_label=False).style(container=True) |
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with gr.Column(): |
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plot = gr.ScatterPlot(show_label=False).style(container=True) |
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with gr.Row(): |
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with gr.Column(): |
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plot = gr.ScatterPlot(show_label=False).style(container=True) |
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with gr.Column(): |
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plot = gr.ScatterPlot(show_label=False).style(container=True) |
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with gr.Row(): |
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gr.Markdown(" ### We have recommendations for you!") |
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with gr.Row(): |
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gr.DataFrame() |
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demo.load(fn=scatter_plot_fn, outputs=plot) |
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demo.launch() |
