import streamlit as st import folium from streamlit_folium import folium_static from folium.plugins import MarkerCluster import requests import json from datetime import datetime import re from geopy.distance import geodesic from typing import Dict, List, Tuple, Optional import time import random # Set page configuration st.set_page_config( page_title="GeoVision Pro", page_icon="🌍", layout="wide", initial_sidebar_state="expanded" ) # Custom CSS for a blue-themed UI without the black strip st.markdown(""" """, unsafe_allow_html=True) # Moving 3D Earth Background (Smaller) st.markdown('''
Earth
''', unsafe_allow_html=True) # Title Section st.markdown('

GeoVision Pro

Your Professional Geospatial Data Solution

', unsafe_allow_html=True) # Main Content Section st.markdown('
', unsafe_allow_html=True) # Query Section st.markdown('

Query Interface

', unsafe_allow_html=True) # Function to handle smart location search def smart_location_search(): st.session_state.query = "Show restaurants near the Eiffel Tower" st.experimental_rerun # Query input with a button for smart location search query = st.text_input("Enter your query:", placeholder="Try: 'Show restaurants near the Eiffel Tower' or 'What's the weather in Tokyo?'", key="query_input") if st.button("Smart Location Search"): smart_location_search() # Function to fetch data from backend def fetch_data_from_backend(endpoint, params=None): try: response = requests.get(f"https://geosapi.onrender.com/{endpoint}", params=params) response.raise_for_status() return response.json() except requests.exceptions.RequestException as e: st.error(f"Error fetching data: {e}") return None # Features Section st.markdown('

Features

', unsafe_allow_html=True) features = [ {"icon": "🌐", "title": "Smart Location Search", "description": "Find places and get directions with natural language queries."}, {"icon": "🌦️", "title": "Real-time Weather", "description": "Get current weather conditions and forecasts for any location."}, {"icon": "🌬️", "title": "Air Quality", "description": "Check air quality levels and pollution data worldwide."}, {"icon": "📍", "title": "Personal Places", "description": "Save and manage your favorite locations with notes and emotions."} ] for feature in features: st.markdown(f"""

{feature['icon']} {feature['title']}

{feature['description']}

""", unsafe_allow_html=True) # Map Section (Placeholder) st.markdown('

Map Visualization

', unsafe_allow_html=True) # Example: Fetching data from the backend if query: # Example endpoint and parameters data = fetch_data_from_backend("your-endpoint", params={"query": query}) if data: st.write("Data from backend:", data) # Here you would integrate the map visualization st.markdown('
', unsafe_allow_html=True) # Button Section st.markdown('
', unsafe_allow_html=True) if st.button("Random Place"): random_queries = [ "Show restaurants in Tokyo", "Find museums in Berlin", "Show hospitals in Paris", "Find parks in New York", "Show cafes in London", "Find supermarkets in Rome" ] st.write(f"Random Query: {random.choice(random_queries)}") if st.button("Clear Results"): st.write("Results cleared.") st.markdown('
', unsafe_allow_html=True) # Footer Section st.markdown('', unsafe_allow_html=True) st.markdown('
', unsafe_allow_html=True)