import gradio as gr
import plotly.express as px
import pandas as pd

# sample data
df = px.data.gapminder()

def make_plot(country):
    data = df[df.country == country]
    fig = px.line(data, x="year", y="gdpPercap", title=f"GDP per Capita: {country}")
    return fig

countries = sorted(df.country.unique())

demo = gr.Interface(
    fn=make_plot,
    inputs=gr.Dropdown(countries, label="Select a country"),
    outputs=gr.Plot(label="GDP per Capita Plot"),
    title="Gapminder GDP Dashboard"
)

# Note that share=True makes a publicly available URL available.
# The URL is publicly available as long as your local gradio session is running.
if __name__ == "__main__":
    demo.launch(share=True)