Update app.py

app.py

@@ -29,12 +29,12 @@ model.fit(X_train, y_train)
 # Create a sidebar with sliders for each feature
 sidebar = st.sidebar
 sidebar.title("Input Features")
-lot_area = sidebar.slider("Lot Area", 1300, 215245, 50000)
-overall_qual = sidebar.slider("Overall Quality", 1, 10, 5)
-overall_cond = sidebar.slider("Overall Condition", 1, 10, 5)
-year_built = sidebar.slider("Year Built", 1872, 2010, 1950)
-tot_rooms_above_grade = sidebar.slider("Total Rooms Above Grade", 2, 14, 7)
-garage_area = sidebar.slider("Garage Area", 0, 1418, 500)
+lot_area = sidebar.slider("Lot Area", 1300, 215245, 1300)
+overall_qual = sidebar.slider("Overall Quality", 1, 10, 6)
+overall_cond = sidebar.slider("Overall Condition", 1, 10, 6)
+year_built = sidebar.slider("Year Built", 1872, 2010, 1980)
+tot_rooms_above_grade = sidebar.slider("Total Rooms Above Grade", 2, 14, 5)
+garage_area = sidebar.slider("Garage Area", 0, 1418, 462)
 # Create a Pandas DataFrame with the user's input
 input_df = pd.DataFrame({
     "LotArea": [lot_area],