src/streamlit_app.py

import streamlit as st
import joblib
import numpy as np


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

st.title(":red[House] Price Analysis :house:")


Bedrooms=st.number_input("bedooms:",min_value=1,max_value=8,step=1)

Bathrooms=st.number_input("Bathooms:",min_value=1,max_value=9,step=1)

Sqft_living=st.number_input("Sqft_living:",min_value=100,max_value=8000,step=1)

Floors=st.number_input("Floors:",min_value=1,max_value=10,step=1)

if st.button("Estimate"):
    st.balloons()
    model_input=np.array([[Bedrooms,Bathrooms,Sqft_living,Floors]])
    prediction=model.predict(model_input)
    formatted_pred=round(prediction[0],2)
    st.write(f"House price is :${formatted_pred}")