Create app.py

app.py

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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 'No Heart Disease',fig1,fig2,fig3
+        else:
+            return 'High Chances 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