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import gradio as gr
import pickle
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
print('Loading......')
# load the saved model
rfc_saved = pickle.load(open('rfc.pickle','rb'))
full_pipeline_saved = pickle.load(open('full_pipeline.pickle','rb'))
# function to check the heart disease risk
def CheckHeartDisease(age,sex,ChestPainType,RestingBP,Cholesterol,
FastingBS,RestingECG,MaxHR,ExerciseAngina,Oldpeak,ST_Slope):
try:
df_model = pd.DataFrame([],columns=['Age','Sex','ChestPainType','RestingBP','Cholesterol','FastingBS','RestingECG','MaxHR','ExerciseAngina', 'Oldpeak','ST_Slope'])
df_model.loc[0] = [age,sex,ChestPainType,RestingBP,Cholesterol,FastingBS,RestingECG,MaxHR,ExerciseAngina,Oldpeak,ST_Slope]
# preprocess the person details
X_processed = full_pipeline_saved.transform(df_model)
# do the prediction
y_pred = rfc_saved.predict(X_processed)
# plot risk of heart disease based on sex
df = pd.read_csv('heart.csv')
target = df['HeartDisease'].replace([0,1],['Low','High'])
data = pd.crosstab(index=df['Sex'],
columns=target)
data.plot(kind='bar',stacked=True)
fig1 = plt.gcf()
plt.close()
# plot count of person within given age range, with heart disease risk
bins=[0,30,50,80]
sns.countplot(x=pd.cut(df.Age,bins=bins),hue=target,color='r')
fig2 = plt.gcf()
plt.close()
# plot graph based on ChestPainType
sns.countplot(x=target,hue=df.ChestPainType)
plt.xticks(np.arange(2), ['No', 'Yes'])
fig3 = plt.gcf()
if y_pred[0]==0:
return 'Low Risk of Heart Disease',fig1,fig2,fig3
else:
return 'High Risk of Heart Disease',fig1,fig2,fig3
except:
return 'Wrong inputs',fig1,fig2,fig3
# create GUI
iface = gr.Interface(
CheckHeartDisease, # its the function to be called with below parameters
[
gr.inputs.Number(label='Age (0-115)'),
gr.inputs.Dropdown(['M','F'],default='M'),
gr.inputs.Dropdown(['ATA', 'NAP', 'ASY','TA'],default='TA'),
gr.inputs.Number(label='RESTINGBP (0-200)'),
gr.inputs.Number(label='CHOLESTEROL (0-603)'),
gr.inputs.Number(label='FASTINGBS (0-1)'),
gr.inputs.Dropdown(['Normal', 'ST' ,'LVH'],default='ST'),
gr.inputs.Number(label='MAXHR (60-202)'),
gr.inputs.Dropdown(['Y','N'],default='Y'),
gr.inputs.Number(label='OLDPEAK (-2.6 to 6.2)'),
gr.inputs.Dropdown(['Up', 'Flat', 'Down'],default='Up')
],
[gr.outputs.Textbox(),"plot","plot","plot"]
, live=False,layout='vertical',title='Get Your Heart Disease Status',
)
iface.launch() # launch the gui
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