import streamlit as st import folium from folium.plugins import MarkerCluster from streamlit_folium import folium_static import googlemaps from datetime import datetime import os # Initialize Google Maps gmaps = googlemaps.Client(key=os.getenv('GOOGLE_KEY')) # Function to fetch directions def get_directions_and_coords(source, destination): now = datetime.now() directions_info = gmaps.directions(source, destination, mode='driving', departure_time=now) if directions_info: steps = directions_info[0]['legs'][0]['steps'] coords = [(step['start_location']['lat'], step['start_location']['lng']) for step in steps] return steps, coords else: return None, None # Function to render map with directions def render_folium_map(coords): m = folium.Map(location=[coords[0][0], coords[0][1]], zoom_start=13) folium.PolyLine(coords, color="blue", weight=2.5, opacity=1).add_to(m) return m # Function to add medical center paths and annotate distance def add_medical_center_paths(m, source, med_centers): for name, lat, lon, specialty, city in med_centers: _, coords = get_directions_and_coords(source, (lat, lon)) if coords: folium.PolyLine(coords, color="red", weight=2.5, opacity=1).add_to(m) folium.Marker([lat, lon], popup=name).add_to(m) distance_info = gmaps.distance_matrix(source, (lat, lon), mode='driving') distance = distance_info['rows'][0]['elements'][0]['distance']['text'] folium.map.Marker( [coords[-1][0], coords[-1][1]], icon=folium.DivIcon( icon_size=(150, 36), icon_anchor=(0, 0), html=f'
{distance}
', ) ).add_to(m) # Streamlit UI st.title('Google Maps and California Medical Centers 🌴') st.sidebar.header('Directions') source_location = st.sidebar.text_input("Source Location", "Venice Beach, CA") destination_location = st.sidebar.text_input("Destination Location", "Santa Monica, CA") if st.sidebar.button('Get Directions'): steps, coords = get_directions_and_coords(source_location, destination_location) if steps and coords: st.subheader('Driving Directions:') for i, step in enumerate(steps): st.write(f"{i+1}. {step['html_instructions']}") st.subheader('Route on Map:') m1 = render_folium_map(coords) folium_static(m1) else: st.write("No available routes.") # Top 10 medical centers in California california_med_centers = [ ('UCLA Medical Center', 34.0665, -118.4467, 'General medical and surgical', 'Los Angeles'), ('Cedars-Sinai Medical Center', 34.0762, -118.3801, 'Heart specialty', 'Los Angeles'), ('UCSF Medical Center', 37.7631, -122.4576, 'Teaching hospital', 'San Francisco'), ('Stanford Health Care-Stanford Hospital', 37.4331, -122.1754, 'Teaching hospital', 'Stanford'), ('Scripps La Jolla Hospitals', 32.8844, -117.2256, 'General medical and surgical', 'La Jolla'), ('Sharp Memorial Hospital', 32.8002, -117.1542, 'Community hospital', 'San Diego'), ('UCSD Medical Center-Hillcrest', 32.7550, -117.1711, 'Teaching hospital', 'San Diego'), ('Hoag Memorial Hospital Presbyterian', 33.6117, -117.8771, 'Community hospital', 'Newport Beach'), ('UCI Medical Center', 33.7886, -117.8934, 'Teaching hospital', 'Orange'), ('Long Beach Memorial Medical Center', 33.8034, -118.1689, 'Community hospital', 'Long Beach') ] # Annotate distances and paths for each medical center st.markdown("## 🏥 California Medical Centers 🌴") m2 = folium.Map(location=[34.0522, -118.2437], zoom_start=6) marker_cluster = MarkerCluster().add_to(m2) add_medical_center_paths(m2, source_location, california_med_centers) folium_static(m2)