app.py

import gradio as gr
import spotipy


###########

from vega_datasets import data

iris = data.iris()


def scatter_plot_fn(dataset):
    return gr.ScatterPlot(
        value=iris,
        x="petalWidth",
        y="petalLength",
        color="species",
        title="Iris Dataset",
        color_legend_title="Species",
        x_title="Petal Width",
        y_title="Petal Length",
        tooltip=["petalWidth", "petalLength", "species"],
        caption="",
    )


##########
def get_started():
    # redirects to spotify and comes back
    # then generates plots
    return 

with gr.Blocks() as demo:
    gr.Markdown(" ## Spotify Analyzer 🥳🎉")
    gr.Markdown("This app analyzes how cool your music taste is. We dare you to take this challenge!")
    with gr.Row():
        get_started_btn = gr.Button("Get Started")
        #dataset = gr.Dropdown(choices=["cars", "iris"], value="cars")
    with gr.Row():
        with gr.Column():
            with gr.Row():
                with gr.Column():
                    plot = gr.ScatterPlot(show_label=False).style(container=True)
                with gr.Column():
                    plot = gr.ScatterPlot(show_label=False).style(container=True)
            with gr.Row():
                with gr.Column():
                    plot = gr.ScatterPlot(show_label=False).style(container=True)
                with gr.Column():
                    plot = gr.ScatterPlot(show_label=False).style(container=True)   
    with gr.Row():
        gr.Markdown(" ### We have recommendations for you!")
    with gr.Row():
        gr.DataFrame()                 
    #dataset.change(scatter_plot_fn, inputs=dataset, outputs=plot)
    demo.load(fn=scatter_plot_fn, outputs=plot)


demo.launch()