gradio/demo/stock_forecast.py

# (Radio, CheckboxGroup, Slider, Dropdown) -> (Image)

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


def stock_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]
    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
        plt.plot(x, series, plt_format)
    if show_legend:
        plt.legend(companies)
    return plt


gr.Interface(stock_forecast,
             [
                 gr.inputs.Radio([2025, 2030, 2035, 2040],
                                 label="Project to:"),
                 gr.inputs.CheckboxGroup(
                     ["Google", "Microsoft", "Gradio"]),
                 gr.inputs.Slider(1, 100),
                 "checkbox",
                 gr.inputs.Dropdown(["cross", "line", "circle"], label="Style"),
             ],
             gr.outputs.Image(plot=True, label="forecast") 
             ).launch()