Update app.py

app.py

@@ -36,7 +36,7 @@ col1, col2 = st.columns([1, 2])  # Adjust the width ratios as needed
 with col1:
     st.subheader('Features')
     
-    with st.container(height=800, border=True):
+    with st.container(height=500, border=True):
         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)
@@ -82,28 +82,5 @@ with col2:
     price_placeholder = st.empty()
     price_placeholder.subheader(f'Predicted Price: ${predicted_price[0][0]:,.2f}')
     map_data = pd.DataFrame(cities_geo[city])
-    # with st.container(height=800, border=True):
-    #     st.map(map_data, zoom=11)
-    
-    # Define a PyDeck Layer with map_data
-    layer = pdk.Layer(
-        "ScatterplotLayer",
-        map_data,
-        get_position="[lon, lat]",
-        get_color="[200, 30, 0, 160]",
-        get_radius=200,
-    )
-    
-    # Define a PyDeck View (you can adjust height here)
-    view_state = pdk.ViewState(
-        latitude=map_data['latitude'],
-        longitude=map_data['longitude'],
-        zoom=11,
-        pitch=50,
-    )
-    
-    # Create a PyDeck chart with the defined layer and view
-    deck = pdk.Deck(layers=[layer], initial_view_state=view_state, height=800)
-    
-    # Display the map using st.pydeck_chart
-    st.pydeck_chart(deck)
+    with st.container(height=500, border=True):
+        st.map(map_data, zoom=11)