first commit

matplotlib_gradio_plot.py

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+import gradio as gr
+from math import log
+import matplotlib
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+
+
+def gdp_change(r, year, country, smoothen):
+    years = ['1850', '1900', '1950', '2000', '2050']
+    m = years.index(year)
+    start_day = 10* m
+    final_day = 10* (m + 1)
+    x = np.arange(start_day, final_day + 1)
+    pop_count = {"USA": 350, "Canada": 40, "Mexico": 300, "UK": 120}
+    if smoothen:
+        r = log(r)
+    df = pd.DataFrame({'day': x})
+    df[country] = ( x ** (r) * (pop_count[country] + 1))
+    fig = plt.figure()
+    plt.plot(df['day'], df[country].to_numpy(), label = country)
+    plt.title("GDP in " + year)
+    plt.ylabel("GDP (Millions)")
+    plt.xlabel("Population Change since 1800")
+    plt.grid()
+    return fig
+
+inputs = [
+        gr.Slider(1, 4, 3.2, label="R"),
+        gr.Dropdown(['1850', '1900', '1950', '2000', '2050'], label="Year"),
+        gr.Radio(["USA", "Canada", "Mexico", "UK"], label="Countries", ),
+        gr.Checkbox(label="Log of GDP Growth Rate?"),
+    ]
+outputs = gr.Plot()
+
+demo = gr.Interface(fn=gdp_change, inputs=inputs, outputs=outputs)
+
+demo.launch()

requirements.txt

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+gradio
+math
+matplotlib
+numpy
+pandas