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import gradio as gr
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
def graphPlot(plot_type, r, month, countries, social_distancing):
fig = plt.figure()
inp_list = [[13,0,8425333,'Asia'],
[15,1,9712569,'Oceania'],
[52,0,76039390,'Americas'],
[2,0,637408000,'Asia'],
[35,1,44310863,'Europe'],
[20,0,3.72e+08,'Asia'],
[45,1,171984000,'Americas']]
mypredictions = [1,1,0,0,1,0,1]
# creating a pandas dataframe
df = pd.DataFrame(inp_list,columns=['week','diabetes_binary',
'Population','Continent'])
# Sorting by column 'week'
df2=df.sort_values(by=['week'],ascending=True)
X = list(df2.iloc[:, 0])
Y = mypredictions
# Plot the data using bar() method
plt.plot(X, Y, 'o-g')
plt.title("Diabetes prediction graph")
plt.xlabel("week")
plt.ylabel("diabetes_binary")
for i in range(len(X)):
b=str(X[i])+","+str(Y[i])
plt.annotate(b, xy=(X[i], Y[i]))
# Show the plot
plt.show()
return fig
inputs = [
gr.Dropdown(["Matplotlib", "Plotly", "Bokeh"], label="Plot Type"),
gr.Slider(1, 4, 3.2, label="R"),
gr.Dropdown(["January", "February", "March", "April", "May"], label="Month"),
gr.CheckboxGroup(["USA", "Canada", "Mexico", "UK"], label="Countries",
value=["USA", "Canada"]),
gr.Checkbox(label="Social Distancing?"),
]
outputs = gr.Plot()
demo = gr.Interface(fn=graphPlot, inputs=inputs, outputs=outputs, cache_examples=True)
demo.launch(share=True)