AI meets Maps: Using Cloudflare AI, Langchain, Mapbox, Folium and Streamlit

Introduction

Welcome to a revolutionary tool that helps you plan the most efficient routes between landmarks in any city. Powered by Cloudflare AI, Langchain, and Mapbox, this Streamlit web app utilizes the LMS (Language Model Services) and the optimized trips API provided by Mapbox to tackle the classic "Traveling Salesman Problem." With this tool, turning your sightseeing into an optimized adventure has never been easier.

Exploring the Tool

To get started, simply enter the name of a city—let's say San Francisco, where I live, run, bike, and walk. Upon entering the city, you'll be provided with a list of landmarks. If Alcatraz isn’t on your itinerary (as is often the case for locals), you can easily skip it. Once you select your favorite landmarks, they will appear on a map, beautifully rendered using Folium.

Next, you can generate the route. The tool has already optimized the route, but it will provide you with various details for your journey. Additionally, there’s an option to download the route along with its details, making it easy to carry your travel plans with you.

The interactive map allows you to zoom, scroll, and explore. You might start at the iconic Golden Gate Bridge and make your way down to Lombard Street, Union Square, Coit Tower, and Fisherman’s Wharf. It’s all set for an exciting day of exploration!

The Technology Behind the Experience

This application involves a significant amount of code, featuring numerous import statements including Folium, Streamlit, and others, though some components like the search box aren’t included in Streamlit directly. The tool’s ability to execute AI interactions is made possible through Langchain, which orchestrates these feature-rich experiences.

The Prompt Template strategically structures the input queries, ensuring that the city name provided by the user is consistently incorporated. This minimizes errors and enhances the reliability of the AI's outputs.

When you search for a city, the application accesses the Search Box API signature and uses a dropdown in Streamlit to present landmark details. This is where it connects through Langchain to find the city you entered, resulting in a seamless experience.

The tool then creates a list of landmarks along with their latitude and longitude. Using the Mapbox Optimized Trips API, it calculates the optimal route, effectively drawing the planned journey on a map. The final product—a beautifully rendered HTML map—gives users a visual representation of the planned route. As an added convenience, the app also offers options for generating bike routes and downloading the maps.

There is an abundance of fun to be had with the combination of Cloudflare, Langchain, Folium, Streamlit, and Mapbox, providing an unparalleled mapping experience. So why not set off and enjoy your next adventure exploring landmarks in your chosen city?

Keywords

• AI
• Maps
• Cloudflare
• Langchain
• Mapbox
• Folium
• Streamlit
• Traveling Salesman Problem
• Route Optimization
• Landmark Navigation

FAQ

Q1: What technology powers the route optimization tool?
A1: The tool is powered by Cloudflare AI, Langchain, and Mapbox, utilizing optimized trips API and various mapping technologies.

Q2: Can I download the optimized route?
A2: Yes, the tool provides an option to download your generated route and its details.

Q3: Is there an option to select different modes of transportation?
A3: Yes, the tool allows users to generate routes for different modes of transportation, including biking.

Q4: How does the tool handle user-inputted city names?
A4: The application uses a Prompt Template to structure the input queries, ensuring that the city name is consistently integrated to minimize errors.

Q5: What landmarks can I choose from?
A5: The tool generates a list of landmarks based on the city you search for, and you can select your desired landmarks for the route.