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| import streamlit as st | |
| import googlemaps | |
| import math | |
| import os | |
| from streamlit_js_eval import get_geolocation | |
| # --- CONFIGURATION --- | |
| # Pulling the key securely from Hugging Face Secrets | |
| MAPS_API_KEY = os.environ.get("MAPS_API_KEY") | |
| if not MAPS_API_KEY: | |
| st.error("⚠️ MAPS_API_KEY not found. Please add it to your Hugging Face Secrets.") | |
| st.stop() | |
| gmaps = googlemaps.Client(key=MAPS_API_KEY) | |
| def calculate_haversine(lat1, lon1, lat2, lon2): | |
| """Calculates the straight-line distance in km.""" | |
| R = 6371.0 | |
| dlat, dlon = math.radians(lat2 - lat1), math.radians(lon2 - lon1) | |
| a = math.sin(dlat / 2)**2 + math.cos(math.radians(lat1)) * \ | |
| math.cos(math.radians(lat2)) * math.sin(dlon / 2)**2 | |
| return R * 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a)) | |
| # --- APP UI --- | |
| st.set_page_config(page_title="Pharmacy Finder", page_icon="🏥") | |
| st.title("🏥 Real-Time Pharmacy Locator") | |
| # 1. Get User Location Automatically via Browser | |
| loc = get_geolocation() | |
| if loc: | |
| user_lat = loc['coords']['latitude'] | |
| user_lng = loc['coords']['longitude'] | |
| st.success(f"📍 Location detected: {user_lat}, {user_lng}") | |
| query = st.text_input("Which pharmacy are you looking for?", placeholder="e.g. Apollo Pharmacy") | |
| if query: | |
| try: | |
| # 2. Live Search via Google Places API | |
| # We search specifically 'nearby' the user's coordinates | |
| places_result = gmaps.places(query=query, location=(user_lat, user_lng))['results'] | |
| if places_result: | |
| # 3. Process and Rank Top 5 | |
| found_pharmacies = [] | |
| for place in places_result[:5]: | |
| p_lat = place['geometry']['location']['lat'] | |
| p_lng = place['geometry']['location']['lng'] | |
| # Using our math tool to get the distance | |
| dist = calculate_haversine(user_lat, user_lng, p_lat, p_lng) | |
| found_pharmacies.append({ | |
| "name": place['name'], | |
| "address": place.get('formatted_address', 'No address provided'), | |
| "distance": round(dist, 2), | |
| "lat": p_lat, | |
| "lng": p_lng | |
| }) | |
| # Sort results: closest first | |
| found_pharmacies.sort(key=lambda x: x['distance']) | |
| # 4. Display as Expandable Cards | |
| st.subheader(f"Top {len(found_pharmacies)} Results:") | |
| for p in found_pharmacies: | |
| with st.expander(f"🏥 {p['name']} — {p['distance']} km away"): | |
| st.write(f"**Address:** {p['address']}") | |
| st.write(f"**Coordinates:** {p['lat']}, {p['lng']}") | |
| # Universal Navigation Link (Works on iOS, Android, and Desktop) | |
| nav_url = f"https://www.google.com/maps/dir/?api=1&destination={p['lat']},{p['lng']}" | |
| st.link_button("🚀 Open in Navigation", nav_url) | |
| else: | |
| st.warning("No pharmacies found for that name nearby.") | |
| except Exception as e: | |
| st.error(f"An error occurred: {e}") | |
| else: | |
| st.info("Please allow location access in your browser to find pharmacies near you.") |