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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() |