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app.py

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+import streamlit as st
+import pandas as pd
+import joblib
+
+st.title("Heart Disease Prediction")
+
+gender = st.radio("Select Your Gender",['Male','Female'])
+
+if gender=="Male":
+    gender=1
+else:
+    gender=0
+
+age = st.slider("Select Your Age")
+
+cigsPerDay = st.number_input("Enter No.of Ciggarettes Per Day")
+
+BPMeds = st.radio("Do you take BP Medicines?",["True","False"])
+
+if BPMeds=="True":
+    BPMeds=1.0
+else:
+    BPMeds=0.0
+
+prevStroke = st.radio("Do you have any prevalent stroke?",["True","False"])
+
+
+if prevStroke=="True":
+    prevStroke=1
+else:
+    prevStroke=0
+
+prevalentHyp = st.radio("Do you have any prevalent hypertension?",["True","False"])
+
+if prevalentHyp=="True":
+    prevalentHyp=1
+else:
+    prevalentHyp=0
+
+diabetes = st.radio("Do you have diabetes?",["True","False"])
+
+if diabetes=="True":
+    diabetes=1
+else:
+    diabetes=0
+
+totChol = st.number_input("Enter your cholestrol level")
+
+sysBP = st.number_input("Enter your systole blood pressure level")
+
+diaBP = st.number_input("Enter your diastole blood pressure level")
+
+bmi = st.number_input("Enter your BMI")
+
+heart_rate = st.number_input("Enter your heart beats per minute.")
+
+if st.button("Predict"):
+    model = joblib.load("heart_model.h5")
+    prediction = model.predict([[gender,age,cigsPerDay,BPMeds,prevStroke,prevalentHyp,diabetes,totChol,sysBP,diaBP,bmi,heart_rate]])
+    if prediction[0] == 0:
+        prediction = "You are not at a risk of getting a heart disease."
+        st.success(prediction)
+    else:
+        prediction = "You are at risk of getting a heart disease."
+        st.success(prediction)

heart_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0a27d7d7e42ffe3223d8afbd58b1ab5e4f293bdcc227262223ac409621271c40
+size 1344