| import numpy as np
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| import streamlit as st
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| import pickle
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| model = pickle.load(open("heart_disease_model.pkl", "rb"))
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| st.title("Heart Disease Prediction App")
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|
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| age = st.number_input("Enter Age", min_value=0, max_value=120)
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| sex = st.selectbox("Select Gender", options=["Male", "Female"])
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| chest_pain = st.selectbox("Chest Pain Type", options=[1, 2, 3, 4])
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| blood_pressure = st.number_input("Enter Blood Pressure", min_value=0)
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| cholesterol = st.number_input("Enter Cholesterol Level", min_value=0)
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| blood_sugar = st.selectbox("Blood Sugar > 120 mg/dl?", options=[0, 1])
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| electrocardiographic_result = st.selectbox("Electrocardiographic Result", options=[0, 1, 2])
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| max_heart_rate = st.number_input("Enter Maximum Heart Rate", min_value=0)
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| exercise_angina = st.selectbox("Exercise Induced Angina", options=[0, 1])
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| oldpeak = st.number_input("Enter Oldpeak", min_value=0.0, max_value=6.0)
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| slope = st.selectbox("Slope of the Peak Exercise ST Segment", options=[1, 2, 3])
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| ca = st.selectbox("Number of Major Vessels Colored by Fluoroscopy", options=[0, 1, 2, 3])
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| thalassemia = st.selectbox("Thalassemia", options=[3, 6, 7])
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| if st.button("Predict"):
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| input_data = [
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| age,
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| 1 if sex == "Male" else 0,
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| chest_pain,
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| blood_pressure,
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| cholesterol,
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| blood_sugar,
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| electrocardiographic_result,
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| max_heart_rate,
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| exercise_angina,
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| oldpeak,
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| slope,
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| ca,
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| thalassemia
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| ]
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| input_data_as_numpy_array = np.asarray(input_data)
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| input_data_reshape = input_data_as_numpy_array.reshape(1, -1)
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| prediction = model.predict(input_data_reshape)
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| prediction_text = "Heart Disease Detected" if prediction[0] == 1 else "No Heart Disease Detected"
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| st.write(f"Prediction: {prediction_text}")
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|
