Delete app.py

app.py

@@ -1,105 +0,0 @@
-import streamlit as st 
-import joblib
-import numpy as np
-## Heading 
-html_temp = """
-    <div style="background-color:black;padding:10px">
-    <h2 style="color:red;text-align:center;">Cardiovascular Health Prediction App </h2>
-    </div>
-    """
-st.markdown(html_temp, unsafe_allow_html=True)
-
-st.write("Enter the Patient  details:")
-
-# model
-
-health_model=joblib.load("health_model.joblib")
-
-scaler_model=joblib.load('scaler_the data_model.joblib')
-
-# Input variables
-
-col1, col2 = st.columns(2)
-with col1:
-    
-    ## Age
-    age=st.slider("Slide the AGE of the Patient:",max_value=80,min_value=20)
-    
-with col2:
-    
-    ## gender
-    option_gen=["Female "," Male"]
-    gen=st.selectbox("Select the Gender",option_gen) 
-    gender_value=option_gen.index(gen)
-    
-col1, col2 = st.columns(2)
-with col1:
-    ## chestpain
-    chestpain=st.slider("Slide the chestpain Value:",min_value=0,max_value=3)
-    
-with col2:
-    ## restingBP
-    restingBP=st.slider("Slide the Resting  BP of the Patient:",min_value=90,max_value=200)
-
-col1,col2=st.columns(2)
-with col1:
-    ## serumcholestrol
-    serumcholestrol=st.slider("Slide The Serum cholestrol Of a Ptient :",min_value=0,max_value=600)
-    
-with col2:
-    ## fastingbloodsugar
-    fastingbloodsugar= st.radio("Is Patient blood is Fasting:", ["YES", "NO"])
-    if fastingbloodsugar=="YES":
-        fastingbloodsugar_value=1
-    else:
-       fastingbloodsugar_value=0
-    
-col1,col2=st.columns(2)
-
-with col1:
-   ## restingrelectro
-    restingrelectro=st.slider("Slide The restingrelectro of a Patient :",min_value=0,max_value=2)
-        
-with col2:
-    ## maxheartrate
-    maxheartrate=st.slider("Slide The max heart rate  of the Patient :",min_value=70,max_value=200)
-
-col1,col2=st.columns(2)
-with col1:
-    ## exerciseangia
-    exerciseangia=st.slider("Slide the exerciseangia Value:",min_value=0,max_value=1)
-    
-
-with col2:
-    ##oldpeak'
-    oldpeak=st.slider("Silde the oldpeak :",max_value=6.2,min_value=0.0,value=0.1)
-    
-    
-col1,col2=st.columns(2)
-with col1:
-    ## slope
-    slope=st.slider("Silde the slope of the Patient :",max_value=3,min_value=0,value=1)
-    
-with col2:
-    ## noofmajorvessels
-    noofmajorvessels=st.slider("Silde the No of Major Vessels to  a Patient :",max_value=3,min_value=0,value=1)
-
-
-if st.button("Submit"):
-    
-    # st.write("before scaleing:",[age,gender_value,chestpain,restingBP,serumcholestrol,fastingbloodsugar_value,restingrelectro,
-    #                              maxheartrate,exerciseangia,oldpeak,slope,noofmajorvessels])
-    # Scaler the values
-    scaler_val = scaler_model.transform([[age,gender_value,chestpain,restingBP,serumcholestrol,fastingbloodsugar_value,restingrelectro,
-                                 maxheartrate,exerciseangia,oldpeak,slope,noofmajorvessels]])
-    
-    # st.write("after scaleing:",scaler_val)
-    
-    output = health_model.predict(scaler_val)
-
-    
-    if output ==0:
-        st.write("The patient is Healthy")
-    else:
-        st.write("The Patient has Heart Disease")
-