Update app.py

app.py

@@ -40,18 +40,14 @@ max_dict = {
     'house_age': 114,
     'years_since_renovation': 2014
 }
-    
-
 
 # Create two columns: one for the city and one for the map
 col1, col2 = st.columns([1, 2])  # Adjust the width ratios as needed
 
 # Display city dropdown in the first column
 with col1:
-    # Placeholder for displaying the predicted price at the top
-    price_placeholder = st.empty()
+    st.subheader('Features')
     
-    st.subheader('City Selection')
     city = st.selectbox(
         'Select City', 
         ['Algona', 'Auburn', 'Beaux Arts Village', 'Bellevue',
@@ -64,10 +60,7 @@ with col1:
          'Renton', 'Sammamish', 'SeaTac', 'Seattle', 'Shoreline',
          'Skykomish', 'Snoqualmie', 'Snoqualmie Pass', 'Tukwila', 'Vashon',
          'Woodinville', 'Yarrow Point'],
-         
     )
-
-    # Create sliders for each item in the dictionaries
     bedrooms = st.slider('Bedrooms', min_value=min_dict['bedrooms'], max_value=max_dict['bedrooms'], value=min_dict['bedrooms'])
     bathrooms = st.slider('Bathrooms', min_value=min_dict['bathrooms'], max_value=max_dict['bathrooms'], value=min_dict['bathrooms'])
     sqft_living = st.slider('Square Feet (Living)', min_value=min_dict['sqft_living'], max_value=max_dict['sqft_living'], value=min_dict['sqft_living'])
@@ -118,20 +111,234 @@ with col1:
     # Predict the price
     predicted_price = model.predict(new_pred)
 
-    # Display the predicted price at the top of the app
-    price_placeholder.write(f"Predicted Price: ${predicted_price[0][0]:,.2f}")
-
 # Display the map in the second column
 with col2:
     st.subheader('Map')
-    if city == 'Algona':
+    if city == 'Seattle':
+    map_data = pd.DataFrame({
+        'latitude': [47.6097, 47.6205, 47.6762],
+        'longitude': [-122.3331, -122.3493, -122.3198]
+    })
+    elif city == 'Bellevue':
+        map_data = pd.DataFrame({
+            'latitude': [47.6101, 47.6183],
+            'longitude': [-122.2015, -122.2046]
+        })
+    elif city == 'Algona':
         map_data = pd.DataFrame({
-            'latitude': [47.6097, 47.6205, 47.6762],
-            'longitude': [-122.3331, -122.3493, -122.3198]
+            'latitude': [47.3162],
+            'longitude': [-122.2295]
         })
     elif city == 'Auburn':
         map_data = pd.DataFrame({
-            'latitude': [47.6101, 47.6183],
-            'longitude': [-122.2015, -122.2046]
+            'latitude': [47.3073],
+            'longitude': [-122.2284]
+        })
+    elif city == 'Beaux Arts Village':
+        map_data = pd.DataFrame({
+            'latitude': [47.6141],
+            'longitude': [-122.2125]
+        })
+    elif city == 'Black Diamond':
+        map_data = pd.DataFrame({
+            'latitude': [47.3465],
+            'longitude': [-121.9877]
+        })
+    elif city == 'Bothell':
+        map_data = pd.DataFrame({
+            'latitude': [47.7595],
+            'longitude': [-122.2056]
+        })
+    elif city == 'Burien':
+        map_data = pd.DataFrame({
+            'latitude': [47.4702],
+            'longitude': [-122.3359]
+        })
+    elif city == 'Carnation':
+        map_data = pd.DataFrame({
+            'latitude': [47.6460],
+            'longitude': [-121.9758]
+        })
+    elif city == 'Clyde Hill':
+        map_data = pd.DataFrame({
+            'latitude': [47.6330],
+            'longitude': [-122.2107]
         })
+    elif city == 'Covington':
+        map_data = pd.DataFrame({
+            'latitude': [47.3765],
+            'longitude': [-122.0288]
+        })
+    elif city == 'Des Moines':
+        map_data = pd.DataFrame({
+            'latitude': [47.3840],
+            'longitude': [-122.3061]
+        })
+    elif city == 'Duvall':
+        map_data = pd.DataFrame({
+            'latitude': [47.7332],
+            'longitude': [-121.9916]
+        })
+    elif city == 'Enumclaw':
+        map_data = pd.DataFrame({
+            'latitude': [47.2059],
+            'longitude': [-121.9876]
+        })
+    elif city == 'Fall City':
+        map_data = pd.DataFrame({
+            'latitude': [47.5980],
+            'longitude': [-121.8896]
+        })
+    elif city == 'Federal Way':
+        map_data = pd.DataFrame({
+            'latitude': [47.3220],
+            'longitude': [-122.3126]
+        })
+    elif city == 'Inglewood-Finn Hill':
+        map_data = pd.DataFrame({
+            'latitude': [47.7338],
+            'longitude': [-122.2780]
+        })
+    elif city == 'Issaquah':
+        map_data = pd.DataFrame({
+            'latitude': [47.5410],
+            'longitude': [-122.0311]
+        })
+    elif city == 'Kenmore':
+        map_data = pd.DataFrame({
+            'latitude': [47.7557],
+            'longitude': [-122.2416]
+        })
+    elif city == 'Kent':
+        map_data = pd.DataFrame({
+            'latitude': [47.3809],
+            'longitude': [-122.2348]
+        })
+    elif city == 'Kirkland':
+        map_data = pd.DataFrame({
+            'latitude': [47.6810],
+            'longitude': [-122.2087]
+        })
+    elif city == 'Lake Forest Park':
+        map_data = pd.DataFrame({
+            'latitude': [47.7318],
+            'longitude': [-122.2764]
+        })
+    elif city == 'Maple Valley':
+        map_data = pd.DataFrame({
+            'latitude': [47.3610],
+            'longitude': [-122.0240]
+        })
+    elif city == 'Medina':
+        map_data = pd.DataFrame({
+            'latitude': [47.6357],
+            'longitude': [-122.2169]
+        })
+    elif city == 'Mercer Island':
+        map_data = pd.DataFrame({
+            'latitude': [47.5703],
+            'longitude': [-122.2264]
+        })
+    elif city == 'Milton':
+        map_data = pd.DataFrame({
+            'latitude': [47.2335],
+            'longitude': [-122.2730]
+        })
+    elif city == 'Newcastle':
+        map_data = pd.DataFrame({
+            'latitude': [47.5477],
+            'longitude': [-122.1711]
+        })
+    elif city == 'Normandy Park':
+        map_data = pd.DataFrame({
+            'latitude': [47.4051],
+            'longitude': [-122.3376]
+        })
+    elif city == 'North Bend':
+        map_data = pd.DataFrame({
+            'latitude': [47.4904],
+            'longitude': [-121.7852]
+        })
+    elif city == 'Pacific':
+        map_data = pd.DataFrame({
+            'latitude': [47.3197],
+            'longitude': [-122.2786]
+        })
+    elif city == 'Preston':
+        map_data = pd.DataFrame({
+            'latitude': [47.5420],
+            'longitude': [-121.9214]
+        })
+    elif city == 'Ravensdale':
+        map_data = pd.DataFrame({
+            'latitude': [47.3485],
+            'longitude': [-121.9807]
+        })
+    elif city == 'Redmond':
+        map_data = pd.DataFrame({
+            'latitude': [47.6734],
+            'longitude': [-122.1215]
+        })
+    elif city == 'Renton':
+        map_data = pd.DataFrame({
+            'latitude': [47.4829],
+            'longitude': [-122.2170]
+        })
+    elif city == 'Sammamish':
+        map_data = pd.DataFrame({
+            'latitude': [47.6162],
+            'longitude': [-122.0394]
+        })
+    elif city == 'SeaTac':
+        map_data = pd.DataFrame({
+            'latitude': [47.4484],
+            'longitude': [-122.3085]
+        })
+    elif city == 'Shoreline':
+        map_data = pd.DataFrame({
+            'latitude': [47.7554],
+            'longitude': [-122.3410]
+        })
+    elif city == 'Skykomish':
+        map_data = pd.DataFrame({
+            'latitude': [47.7054],
+            'longitude': [-121.4848]
+        })
+    elif city == 'Snoqualmie':
+        map_data = pd.DataFrame({
+            'latitude': [47.5410],
+            'longitude': [-121.8340]
+        })
+    elif city == 'Snoqualmie Pass':
+        map_data = pd.DataFrame({
+            'latitude': [47.4286],
+            'longitude': [-121.4420]
+        })
+    elif city == 'Tukwila':
+        map_data = pd.DataFrame({
+            'latitude': [47.4835],
+            'longitude': [-122.2585]
+        })
+    elif city == 'Vashon':
+        map_data = pd.DataFrame({
+            'latitude': [47.4337],
+            'longitude': [-122.4660]
+        })
+    elif city == 'Woodinville':
+        map_data = pd.DataFrame({
+            'latitude': [47.7524],
+            'longitude': [-122.1576]
+        })
+    elif city == 'Yarrow Point':
+        map_data = pd.DataFrame({
+            'latitude': [47.6348],
+            'longitude': [-122.2218]
+        })
+
     st.map(map_data)
+    
+    # Placeholder for displaying the predicted price at the top
+    price_placeholder = st.empty()
+
+    # Display the predicted price at the top of the app
+    price_placeholder.write(f"Predicted Price: ${predicted_price[0][0]:,.2f}")