Update app.py

app.py

@@ -233,33 +233,8 @@ predicted_target = knn_predict(filtered_data, 'target_column', ['latitude', 'lon
 filtered_data['Predicted_target'] = predicted_target
 
 # Display the map and filtered_data
-with st.container():
-    #st.map(filtered_data, zoom=zoom_level, use_container_width=True)
-    
-    # Create a folium map centered around the custom location with dark mode style
-    map_custom = folium.Map(data=filtered_data, location=[custom_lat, custom_lon], zoom_start=zoom_level, control_scale=True)
-    folium.TileLayer('cartodbdark_matter', control=False).add_to(map_custom)
-
-    # Add a blue marker for the geocoded address
-    folium.Marker([custom_lat, custom_lon], tooltip='Local pesquisado', icon=folium.Icon(color='blue')).add_to(map_custom)
-
-    # Display the folium map using streamlit_folium
-    folium_static(map_custom)
-
-    # Apply custom CSS to extend the map to all available space
-    st.markdown(
-        """
-        <style>
-            .stFoliumMap {
-                width: 150%;
-                height: 150vh;
-            }
-        </style>
-        """,
-        unsafe_allow_html=True
-    )
-
-
+with st.container(width=1.0):
+    st.map(filtered_data, zoom=zoom_level, use_container_width=True)
     st.write("Dados:", filtered_data)  # Debug: Print filtered_data
 
 k_threshold = 5