Update app.py

app.py

@@ -1,6 +1,7 @@
 import pandas as pd
 import streamlit as st
 import numpy as np
+from PIL import Image
 from sklearn.metrics import r2_score
 from sklearn.linear_model import LinearRegression
 from sklearn.model_selection import train_test_split
@@ -16,7 +17,9 @@ df = pd.read_csv('housing.csv')
 df.rename(columns = {'Avg. Area Income':'Income','Avg. Area House Age':'House_age', 'Avg. Area Number of Rooms':'No_rooms',
        'Avg. Area Number of Bedrooms':'No_bedrooms', 'Area Population':'population'},inplace = True)
 
-
+# Image
+image = Image.open('houseprice.jpg')
+st.image(image,caption = 'House Price Prediction')
 # HEADINGS
 st.title('House Price Prediction')
 st.sidebar.header('Housing Data')