Update app.py

app.py

@@ -147,10 +147,6 @@ evo_html = """
 """
 
 
-import streamlit as st
-
-import streamlit as st
-
 # Create a sidebar for controls
 with st.sidebar:
     st.markdown(title_html, unsafe_allow_html=True)
@@ -259,6 +255,19 @@ filtered_data['Predicted_target'] = predicted_target
 with st.container():
     st.map(filtered_data, zoom=zoom_level, use_container_width=True)
     st.write("Dados:", filtered_data)  # Debug: Print filtered_data
+    
+    folium_layermap = folium.Map(location=[custom_lat, custom_lon], zoom_start=zoom_level, control_scale=True)
+
+    # Add heatmap layers for 'Valor_Urb', 'Valor_Eqp', and 'RENDA'
+    add_heatmap_layer(folium_layermap, filtered_data, 'Valor_Urb', 'RdBu_r')
+    add_heatmap_layer(folium_layermap, filtered_data, 'Valor_Eqp', 'RdBu_r')
+    add_heatmap_layer(folium_layermap, filtered_data, 'RENDA', 'RdBu_r')
+
+    # Add layer control
+    folium.LayerControl().add_to(folium_layermap)
+
+    # Display the map using st_folium
+    st_folium(folium_layermap, width="100%", height="100%")
 
 k_threshold = 5
 
@@ -295,19 +304,4 @@ if 'Predicted_target' in filtered_data.columns and not np.all(predicted_target =
     st.write(f"Valor médio (Reais/m²) para as características selecionadas: ${mean_value:.2f}$ Reais")
     st.write(f"Os valores podem variar entre ${lower_bound:.2f}$ e ${higher_bound:.2f}$ Reais, dependendo das características dos imóveis.")
 else:
-    st.warning(f"**Dados insuficientes para inferência do valor. Mínimo necessário:** {k_threshold}")
-
-# Display the map for features
-with st.container():
-    folium_layermap = folium.Map(location=[custom_lat, custom_lon], zoom_start=zoom_level, control_scale=True)
-
-    # Add heatmap layers for 'Valor_Urb', 'Valor_Eqp', and 'RENDA'
-    add_heatmap_layer(folium_layermap, filtered_data, 'Valor_Urb', 'RdBu_r')
-    add_heatmap_layer(folium_layermap, filtered_data, 'Valor_Eqp', 'RdBu_r')
-    add_heatmap_layer(folium_layermap, filtered_data, 'RENDA', 'RdBu_r')
-
-    # Add layer control
-    folium.LayerControl().add_to(folium_layermap)
-
-    # Display the map using st_folium
-    st_folium(folium_layermap, width="100%", height="100%")
+    st.warning(f"**Dados insuficientes para inferência do valor. Mínimo necessário:** {k_threshold}")