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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'<div style="font-size: 10pt; color : red;">{distance}</div>',
)
).add_to(m)
# Streamlit UI
st.title('Google Maps and Washington Medical Centers 🌲')
st.sidebar.header('Directions')
source_location = st.sidebar.text_input("Source Location", "Space Needle, Seattle, WA")
destination_location = st.sidebar.text_input("Destination Location", "Seattle-Tacoma International Airport, WA")
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 Washington
washington_med_centers = [
('University of Washington Medical Center', 47.6496, -122.3096, 'Teaching hospital', 'Seattle'),
('Virginia Mason Hospital and Seattle Medical Center', 47.6097, -122.3265, 'General medical and surgical', 'Seattle'),
('Swedish First Hill Campus', 47.6092, -122.3244, 'General medical and surgical', 'Seattle'),
('Providence Regional Medical Center Everett', 47.9770, -122.2015, 'Community hospital', 'Everett'),
('Overlake Medical Center', 47.6153, -122.2039, 'General medical and surgical', 'Bellevue'),
('St. Joseph Medical Center', 47.2442, -122.4358, 'Community hospital', 'Tacoma'),
('Kadlec Regional Medical Center', 46.2566, -119.2833, 'Community hospital', 'Richland'),
('MultiCare Tacoma General Hospital', 47.2590, -122.4543, 'General medical and surgical', 'Tacoma'),
('EvergreenHealth Medical Center', 47.7154, -122.1786, 'Community hospital', 'Kirkland'),
('Swedish Issaquah Campus', 47.5659, -122.0136, 'Community hospital', 'Issaquah')
]
# Annotate distances and paths for each medical center
st.markdown("## 🏥 Washington Medical Centers 🌲")
m2 = folium.Map(location=[47.6062, -122.3321], zoom_start=6)
marker_cluster = MarkerCluster().add_to(m2)
add_medical_center_paths(m2, source_location, washington_med_centers)
folium_static(m2)
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