app.py

import joblib
import pandas as pd
import streamlit as st

model = joblib.load("model.joblib")
unique_values = joblib.load("unique_values.joblib") 

unique_gender =  unique_values["gender"]
unique_hypertension =  unique_values["hypertension"]
unique_heart_disease =  unique_values["heart_disease"]
unique_work_type =  unique_values["work_type"]
unique_smoking_status =  unique_values["smoking_status"]

def main():
    st.title("Stroke Prediction")
    
    with st.form("questionaire"):
        gender = st.selectbox("Gender", options=unique_gender)
        age = st.slider("Age", min_value=10, max_value=100)
        hypertension = st.selectbox("Hypertension", options=unique_hypertension)
        heart_disease = st.selectbox("Heart_Disease", options=unique_heart_disease)
        work_type = st.selectbox("Work_type", options=unique_work_type)
        glucose_level = st.slider("Glucose_Level", min_value=0, max_value=300)
        bmi = st.slider("BMI", min_value=0, max_value=50)
        smoking = st.selectbox("Smoking", options=unique_smoking_status)

        # clicked==True only when the button is clicked
        clicked = st.form_submit_button("Predict Stroke")
        if clicked:
            result=model.predict(pd.DataFrame({"gender": [gender],
                                               "age": [age],
                                               "hypertension": [hypertension],
                                               "heart_disease": [heart_disease],
                                               "work_type": [work_type],
                                               "avg_glucose_level": [glucose_level],
                                               "bmi": [bmi],
                                               "smoking_status": [smoking]}))
            # Show prediction
            result = 'Yes' if result[0] == 1 else 'No'
            st.success("Your predicted Stroke is "+result)
            
# Run main()
if __name__ == "__main__":
    main()