Update app.py

app.py

@@ -34,58 +34,58 @@ with col1:
     st.subheader('Features')
 
     with st.container():
-    st.markdown('<div class="scroll-container">', unsafe_allow_html=True)
-
-    # Create two columns for City and Waterfront
-    col3, col4 = st.columns(2)
-
-    # City dropdown in the first column
-    with col3:
-        city = st.selectbox('City', list(cities_geo.keys()))
-
-    # Waterfront checkbox in the second column
-    with col4:
-        waterfront = st.checkbox('Waterfront', value=False)
-
-    # city = st.selectbox('City', list(cities_geo.keys()))  # Display city dropdown in the first column
-    # waterfront = st.checkbox('Waterfront', value=False)
-    bedrooms = st.slider('Bedrooms', min_value=min_dict['bedrooms'], max_value=max_dict['bedrooms'], value=3)
-    bathrooms = st.slider('Bathrooms', min_value=min_dict['bathrooms'], max_value=max_dict['bathrooms'], value=2)
-    sqft_living = st.slider('Square Feet (Living)', min_value=min_dict['sqft_living'], max_value=max_dict['sqft_living'], value=1000)
-    sqft_lot = st.slider('Square Feet (Lot)', min_value=min_dict['sqft_lot'], max_value=max_dict['sqft_lot'], value=2000)
-    floors = st.slider('Floors', min_value=min_dict['floors'], max_value=max_dict['floors'], value=1)
-    view = st.slider('View', min_value=min_dict['view'], max_value=max_dict['view'], value=0)
-    condition = st.slider('Condition', min_value=min_dict['condition'], max_value=max_dict['condition'], value=3)
-    sqft_above = st.slider('Square Feet (Above)', min_value=min_dict['sqft_above'], max_value=max_dict['sqft_above'], value=1000)
-    sqft_basement = st.slider('Square Feet (Basement)', min_value=min_dict['sqft_basement'], max_value=max_dict['sqft_basement'], value=0)
-    yr_built = st.slider('Year Built', min_value=min_dict['yr_built'], max_value=max_dict['yr_built'], value=2000)
-    yr_renovated = st.slider('Year Renovated', min_value=min_dict['yr_renovated'], max_value=max_dict['yr_renovated'], value=2010)
-
-    st.markdown('</div>', unsafe_allow_html=True)
+        st.markdown('<div class="scroll-container">', unsafe_allow_html=True)
+    
+        # Create two columns for City and Waterfront
+        col3, col4 = st.columns(2)
+    
+        # City dropdown in the first column
+        with col3:
+            city = st.selectbox('City', list(cities_geo.keys()))
+    
+        # Waterfront checkbox in the second column
+        with col4:
+            waterfront = st.checkbox('Waterfront', value=False)
+    
+        # city = st.selectbox('City', list(cities_geo.keys()))  # Display city dropdown in the first column
+        # waterfront = st.checkbox('Waterfront', value=False)
+        bedrooms = st.slider('Bedrooms', min_value=min_dict['bedrooms'], max_value=max_dict['bedrooms'], value=3)
+        bathrooms = st.slider('Bathrooms', min_value=min_dict['bathrooms'], max_value=max_dict['bathrooms'], value=2)
+        sqft_living = st.slider('Square Feet (Living)', min_value=min_dict['sqft_living'], max_value=max_dict['sqft_living'], value=1000)
+        sqft_lot = st.slider('Square Feet (Lot)', min_value=min_dict['sqft_lot'], max_value=max_dict['sqft_lot'], value=2000)
+        floors = st.slider('Floors', min_value=min_dict['floors'], max_value=max_dict['floors'], value=1)
+        view = st.slider('View', min_value=min_dict['view'], max_value=max_dict['view'], value=0)
+        condition = st.slider('Condition', min_value=min_dict['condition'], max_value=max_dict['condition'], value=3)
+        sqft_above = st.slider('Square Feet (Above)', min_value=min_dict['sqft_above'], max_value=max_dict['sqft_above'], value=1000)
+        sqft_basement = st.slider('Square Feet (Basement)', min_value=min_dict['sqft_basement'], max_value=max_dict['sqft_basement'], value=0)
+        yr_built = st.slider('Year Built', min_value=min_dict['yr_built'], max_value=max_dict['yr_built'], value=2000)
+        yr_renovated = st.slider('Year Renovated', min_value=min_dict['yr_renovated'], max_value=max_dict['yr_renovated'], value=2010)
+    
+        st.markdown('</div>', unsafe_allow_html=True)
         
-    new_pred = init_new_pred()
-    new_pred['bedrooms'] = bedrooms
-    new_pred['bathrooms'] = bathrooms
-    new_pred['sqft_living'] = sqft_living
-    new_pred['sqft_lot'] = sqft_lot
-    new_pred['floors'] = floors
-    new_pred['waterfront'] = int(waterfront)
-    new_pred['view'] = view
-    new_pred['condition'] = condition
-    new_pred['sqft_above'] = sqft_above
-    new_pred['sqft_basement'] = sqft_basement
-    new_pred['yr_built'] = yr_built
-    new_pred['yr_renovated'] = yr_renovated
-    new_pred[f'city_{city}'] = 1
-
-    # Process the prediction
-    new_pred = pd.DataFrame([new_pred])
-    new_pred = create_new_features(new_pred)
-    new_pred = bucketize(new_pred)
-    new_pred = normalize(new_pred)
-
-    # Predict the price
-    predicted_price = model.predict(new_pred)
+        new_pred = init_new_pred()
+        new_pred['bedrooms'] = bedrooms
+        new_pred['bathrooms'] = bathrooms
+        new_pred['sqft_living'] = sqft_living
+        new_pred['sqft_lot'] = sqft_lot
+        new_pred['floors'] = floors
+        new_pred['waterfront'] = int(waterfront)
+        new_pred['view'] = view
+        new_pred['condition'] = condition
+        new_pred['sqft_above'] = sqft_above
+        new_pred['sqft_basement'] = sqft_basement
+        new_pred['yr_built'] = yr_built
+        new_pred['yr_renovated'] = yr_renovated
+        new_pred[f'city_{city}'] = 1
+    
+        # Process the prediction
+        new_pred = pd.DataFrame([new_pred])
+        new_pred = create_new_features(new_pred)
+        new_pred = bucketize(new_pred)
+        new_pred = normalize(new_pred)
+    
+        # Predict the price
+        predicted_price = model.predict(new_pred)
 
 # Display the map in the second column
 with col2: