Update app.py

app.py

@@ -124,7 +124,7 @@ title_html = """
     </style>
     <span style='color: #566f71; font-size: 50px;'>aval</span>
     <span style='color: #edb600; font-size: 50px;'>ia</span>
-    <span style='color: #566f71; font-size: 50px;'>.NEXUS</span>
+    <span style='color: #566f71; font-size: 50px;'>.se</span>
     """
 
 # Set font to 'Quicksand' for factor_html
@@ -306,7 +306,26 @@ with st.container():
         download_placeholder = st.empty()
         download_placeholder.markdown(href, unsafe_allow_html=True)
         
-    folium_layermap = folium.Map(location=[custom_lat, custom_lon], zoom_start=zoom_level, control_scale=True)
+
+    def add_heatmap_layer(folium_layermap, data, column, colormap):
+        heatmap_layer = folium.plugins.HeatMap(data=data[['latitude', 'longitude', column]],
+                                               min_opacity=0.5,
+                                               max_zoom=18,
+                                               radius=25, blur=15, 
+                                               gradient=None, 
+                                               overlay=True, 
+                                               control=True, 
+                                               show=True,
+                                               colormap=colormap)
+        folium_layermap.add_child(heatmap_layer)
+
+    # Create a Folium map centered on a specific location
+    folium_layermap = folium.Map(location=[latitude, longitude], zoom_start=12, tiles='Stamen Toner')
+
+    # Add grayscale tiles from OpenStreetMap
+    folium.TileLayer('https://tiles.stadiamaps.com/tiles/alidade_smooth/{z}/{x}/{y}{r}.png', 
+                     attr='© Stadia Maps', 
+                     name='grayscale').add_to(folium_layermap)
 
     # Add heatmap layers for 'Valor_Urb', 'Valor_Eqp', and 'RENDA'
     add_heatmap_layer(folium_layermap, filtered_data, 'Valor_Urb', 'RdBu_r')
@@ -317,7 +336,7 @@ with st.container():
     folium.LayerControl().add_to(folium_layermap)
 
     # Display the map using st_folium
-    st_folium(folium_layermap, width=900, height=350)
+    st.folium_chart(folium_layermap, width=1200, height=600)
 
 k_threshold = 5
 
@@ -350,7 +369,7 @@ if 'Predicted_target' in filtered_data.columns and not np.all(predicted_target =
     mean_value = np.mean(filtered_data['Predicted_target'])
 
     # Display the results with custom styling
-    st.markdown("## **Resultado da Análise Estatística**")
+    st.markdown("## **Algoritmo **")
     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: