Update app.py

app.py

@@ -6,7 +6,8 @@ from utils import create_new_features, normalize, init_new_pred
 with open('./trained_model.pkl', 'rb') as file:
     model = pickle.load(file)
 
-new_pred = st.text_area('Enter text')
+# Placeholder for displaying the predicted price at the top
+price_placeholder = st.empty()
 
 # Define min and max values from the dictionaries
 min_dict = {
@@ -86,10 +87,14 @@ if (bedrooms != min_dict['bedrooms'] or
     new_pred['yr_built'] = yr_built
     new_pred['yr_renovated'] = yr_renovated
     new_pred['city_Bellevue'] = 1
+
+    # Process the prediction
     new_pred = pd.DataFrame([new_pred])
-    
     new_pred = create_new_features(new_pred)
     new_pred = normalize(new_pred)
-    
+
+    # Predict the price
     predicted_price = model.predict(new_pred)
-    st.write(predicted_price[0][0])
+    
+    # Display the predicted price at the top of the app
+    price_placeholder.write(f"Predicted Price: ${predicted_price[0][0]:,.2f}")