app.py

import matplotlib.pyplot as plt
import numpy as np
import gradio as gr


def plot_forecast(final_year, companies, noise, show_legend, point_style):
     start_year = 2020
     x = np.arange(start_year, final_year + 1)
     year_count = x.shape[0]
     plt_format = ({"cross": "X", "line": "-", "circle": "o--"})[point_style]
     fig = plt.figure()
     ax = fig.add_subplot(111)
     for i, company in enumerate(companies):
         series = np.arange(0, year_count, dtype=float)
         series = series**2 * (i + 1)
         series += np.random.rand(year_count) * noise
         ax.plot(x, series, plt_format)
     if show_legend:
         plt.legend(companies)
     return fig

demo = gr.Interface(
     plot_forecast,
     [
         gr.Radio([2025, 2030, 2035, 2040], label="Project to:"),
         gr.CheckboxGroup(["Google", "Microsoft", "Gradio"], label="Company Selection"),
         gr.Slider(1, 100, label="Noise Level"),
         gr.Checkbox(label="Show Legend"),
         gr.Dropdown(["cross", "line", "circle"], label="Style"),
     ],
     gr.Plot(label="forecast"),
 )

if __name__ == "__main__":
     demo.launch(share=False)