Update app.py

app.py

@@ -26,7 +26,7 @@ st.write(df.describe())
 
 
 # X AND Y DATA
-x = df.drop(['Price'], axis = 1)
+x = df.drop(['SalePrice'], axis = 1)
 y = df.iloc[:, -1]
 x_train, x_test, y_train, y_test = train_test_split(x,y, test_size = 0.2, random_state = 0)
 
@@ -59,8 +59,6 @@ st.subheader('Housing Data')
 st.write(user_data)
 
 
-
-
 # MODEL
 lr  = LinearRegression()
 lr.fit(x_train, y_train)