import streamlit as st
import joblib
import streamlit as st
import pandas as pd
import numpy as np

# Load Model 

model=joblib.load('Rf_model.joblib')
encoder=joblib.load('encoder_d.joblib')

# Streamlit app
def main():
    st.title("Insurance Cost Prediction App")
    
    # User inputs
    age = st.number_input("Age", min_value=18, max_value=100, value=30)
    sex = st.selectbox("Sex", encoder["sex"].classes_)
    sex=encoder['sex'].transform([sex])[0]

    bmi = st.number_input("BMI", min_value=10.0, max_value=50.0, value=25.0)
    children = st.number_input("Children", min_value=0, max_value=10, value=0)
    smoker = st.selectbox("Smoker", encoder['smoker'].classes_)
    smoker=encoder['smoker'].transform([smoker])[0]
    region = st.selectbox("Region", encoder['region'].classes_)
    region=encoder['region'].transform([region])[0]
 
    # Predict button
    if st.button("Predict Insurance Cost"):
        values=[age,sex,bmi,children, smoker,region]
        predict = round(model.predict([values])[0],2)
        st.success(f"Estimated Insurance Cost: ${predict}")
if __name__ == "__main__":
    main()