Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
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@@ -1,43 +1,72 @@
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import streamlit as st
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from transformers import pipeline
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import folium
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import numpy as np
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from scipy.optimize import linear_sum_assignment
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import pandas as pd
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from folium import plugins
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def
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"""
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distances = np.zeros((n, n))
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for i in range(n):
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for j in range(n):
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if i != j:
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def optimize_route(
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"""Optimize route using Hungarian algorithm"""
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distances = calculate_distances(coordinates)
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row_ind, col_ind = linear_sum_assignment(distances)
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return col_ind
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def get_place_coordinates(place_name):
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"""Get coordinates using Nominatim geocoding"""
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try:
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from geopy.geocoders import Nominatim
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geolocator = Nominatim(user_agent="my_travel_app")
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location = geolocator.geocode(place_name)
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return (location.latitude, location.longitude) if location else None
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@@ -55,8 +84,18 @@ def create_numbered_marker(number):
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inner_icon_style='margin-top:0;'
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def main():
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st.title("AI Travel Route Optimizer")
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# Sidebar for inputs
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st.sidebar.header("Travel Parameters")
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coordinates = get_place_coordinates(place)
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if coordinates:
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places.append((place, coordinates))
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# Only proceed if we have all places
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if len(places) == num_places and num_places >= 2:
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# Optimize route
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optimized_indices = optimize_route(coordinates)
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# Create map
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center_lat = sum(coord[0] for coord in coordinates) / len(coordinates)
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center_lon = sum(coord[1] for coord in coordinates) / len(coordinates)
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m = folium.Map(location=[center_lat, center_lon], zoom_start=4)
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# Create optimized itinerary list first
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optimized_places = [(i+1, places[idx][0]) for i, idx in enumerate(optimized_indices)]
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# Add markers and route lines
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for i in range(len(optimized_indices)):
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current_idx = optimized_indices[i]
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next_idx = optimized_indices[(i + 1) % len(optimized_indices)]
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#
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folium.Marker(
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[lat, lon],
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popup=f"Stop {i+1}: {place_name}",
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icon=create_numbered_marker(i+1)
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).add_to(m)
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#
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if __name__ == "__main__":
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main()
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import streamlit as st
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import folium
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import numpy as np
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from scipy.optimize import linear_sum_assignment
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from folium import plugins
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import requests
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from datetime import datetime
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from geopy.geocoders import Nominatim
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def get_route_from_osrm(coord1, coord2):
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"""Get route information from OSRM"""
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# OSRM expects coordinates in format: longitude,latitude
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url = f"http://router.project-osrm.org/route/v1/driving/{coord1[1]},{coord1[0]};{coord2[1]},{coord2[0]}"
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params = {
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"overview": "full",
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"geometries": "polyline",
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"steps": "true",
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"annotations": "true"
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}
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try:
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response = requests.get(url, params=params)
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if response.status_code == 200:
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data = response.json()
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if data["code"] == "Ok" and len(data["routes"]) > 0:
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route = data["routes"][0]
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return {
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'distance': route['distance'] / 1000, # Convert to km
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'duration': route['duration'] / 60, # Convert to minutes
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'geometry': route['geometry'],
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'steps': route['legs'][0]['steps']
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}
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except:
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pass
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return None
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def calculate_real_distances(places):
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"""Calculate real driving distances using OSRM"""
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n = len(places)
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distances = np.zeros((n, n))
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routing_info = {}
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for i in range(n):
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for j in range(n):
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if i != j:
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origin = places[i][1] # coordinates
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destination = places[j][1] # coordinates
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route_data = get_route_from_osrm(origin, destination)
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if route_data:
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distances[i,j] = route_data['distance']
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routing_info[(i,j)] = {
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'distance_km': f"{route_data['distance']:.1f} km",
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'duration_mins': f"{route_data['duration']:.0f} mins",
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'geometry': route_data['geometry'],
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'steps': route_data['steps']
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}
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return distances, routing_info
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def optimize_route(distances):
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"""Optimize route using Hungarian algorithm"""
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row_ind, col_ind = linear_sum_assignment(distances)
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return col_ind
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def get_place_coordinates(place_name):
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"""Get coordinates using Nominatim geocoding"""
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try:
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geolocator = Nominatim(user_agent="my_travel_app")
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location = geolocator.geocode(place_name)
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return (location.latitude, location.longitude) if location else None
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inner_icon_style='margin-top:0;'
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)
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def format_instructions(steps):
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"""Format routing instructions from OSRM steps"""
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instructions = []
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for step in steps:
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if 'maneuver' in step:
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instruction = step.get('maneuver', {}).get('instruction', '')
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if instruction:
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instructions.append(instruction)
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return instructions
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def main():
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st.title("AI Travel Route Optimizer (with OSRM)")
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# Sidebar for inputs
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st.sidebar.header("Travel Parameters")
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coordinates = get_place_coordinates(place)
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if coordinates:
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places.append((place, coordinates))
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else:
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st.error(f"Couldn't find coordinates for {place}")
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# Only proceed if we have all places
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if len(places) == num_places and num_places >= 2:
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with st.spinner("Calculating optimal route..."):
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# Calculate real distances
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distances, routing_info = calculate_real_distances(places)
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# Optimize route
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optimized_indices = optimize_route(distances)
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# Create map
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center_lat = sum(coord[0] for _, coord in places) / len(places)
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center_lon = sum(coord[1] for _, coord in places) / len(places)
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m = folium.Map(location=[center_lat, center_lon], zoom_start=4)
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# Create optimized itinerary list
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optimized_places = [(i+1, places[idx][0]) for i, idx in enumerate(optimized_indices)]
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# Add markers and route lines
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for i in range(len(optimized_indices)):
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current_idx = optimized_indices[i]
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next_idx = optimized_indices[(i + 1) % len(optimized_indices)]
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# Add numbered marker
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place_name, (lat, lon) = places[current_idx]
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next_place = places[next_idx]
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# Get routing info for this segment
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segment_info = routing_info.get((current_idx, next_idx), {})
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# Create detailed popup content
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popup_content = f"""
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<b>Stop {i+1}: {place_name}</b><br>
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To next stop:<br>
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Distance: {segment_info.get('distance_km', 'N/A')}<br>
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Duration: {segment_info.get('duration_mins', 'N/A')}
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"""
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folium.Marker(
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[lat, lon],
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popup=folium.Popup(popup_content, max_width=300),
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icon=create_numbered_marker(i+1)
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).add_to(m)
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# Draw route line using polyline from OSRM
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if 'geometry' in segment_info:
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try:
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import polyline
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route_coords = polyline.decode(segment_info['geometry'])
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folium.PolyLine(
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route_coords,
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weight=2,
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color='blue',
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opacity=0.8
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).add_to(m)
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except:
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# Fallback to straight line if polyline decoding fails
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folium.PolyLine(
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[[lat, lon], [next_place[1][0], next_place[1][1]]],
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weight=2,
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color='red',
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opacity=0.8
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).add_to(m)
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# Display map
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st.components.v1.html(m._repr_html_(), height=600)
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# Display optimized itinerary with route information
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st.header("Optimized Itinerary")
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total_distance = 0
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total_duration = 0
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for i in range(len(optimized_indices)):
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current_idx = optimized_indices[i]
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next_idx = optimized_indices[(i + 1) % len(optimized_indices)]
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place_name = places[current_idx][0]
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segment_info = routing_info.get((current_idx, next_idx), {})
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st.write(f"{i+1}. {place_name}")
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if i < len(optimized_indices) - 1:
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st.write(f" ↓ ({segment_info.get('distance_km', 'N/A')}, "
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f"Duration: {segment_info.get('duration_mins', 'N/A')})")
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# Display turn-by-turn instructions
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if 'steps' in segment_info:
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with st.expander(f"Route instructions to next stop"):
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instructions = format_instructions(segment_info['steps'])
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for idx, instruction in enumerate(instructions, 1):
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st.write(f"{idx}. {instruction}")
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# Add to totals
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if 'distance_km' in segment_info:
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total_distance += float(segment_info['distance_km'].split()[0])
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if 'duration_mins' in segment_info:
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total_duration += float(segment_info['duration_mins'].split()[0])
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# Display totals
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st.write("\nSummary:")
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st.write(f"Total distance: {total_distance:.1f} km")
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st.write(f"Total estimated duration: {total_duration:.0f} minutes ({total_duration/60:.1f} hours)")
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if __name__ == "__main__":
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main()
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