import streamlit as st
import joblib
import numpy as np


with open("src/Housing_linear","rb") as f:
    model = joblib.load(f)



st.title("House price prediction")


sqft_living=st.number_input("Sqft living:",min_value=370.00,max_value=13540.00)
sqft_lot=st.number_input("sqft lot:",min_value=6,max_value=1000000000)
floors=st.number_input("Floors:",min_value=1.000,max_value=3.500)
bedrooms = st.number_input("Bedrooms:",min_value=1,max_value=10)
bathrooms=st.number_input("Bathrooms:",min_value=1,max_value=10)
condition=st.number_input("Condition:",min_value=1.000,max_value=5.000)





if st.button("Estimate"):
    st.write("Working")
    st.snow()
    model_input=np.array([[bedrooms,bathrooms,sqft_living,sqft_lot,condition]])
    prediction= model.predict(model_input)
    formatted_pred= round(prediction[0],2)
    st.write(f"Your Price:(formatted_pred)")