Delete dashboard.py

dashboard.py

@@ -1,80 +0,0 @@
-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