Update app.py

app.py

@@ -0,0 +1,35 @@
+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)