Travel RAG

A chatbot that utilizes RAG methodology to retrieve real images of places for travel itineraries or to identify famous landmarks in images. By using this interface, users can either:

• Enter a text description of their desired trip, or
• Upload an image of a tourist site to identify its location

Features

• Text-based Itinerary Generation: Users can type in their desired travel destination and duration, and the application will generate a detailed travel plan with suggestions for places to visit alongside their images.
• Image-based Landmark Identification: Users can upload an image of a famous tourist landmark. The system identifies the location and generates an appropriate response.
• Interactive User Interface: Powered by Streamlit, providing a simple and intuitive interface.

Installation and Setup

1. Clone the repository to your local machine:

   git clone https://github.com/MichaelFish-github/TravelRAG.git

Setting up the Environment

1. Create a Conda environment using the provided environment.yml file:

   conda env create -f environment.yml

2. Activate the environment:

   conda activate travelrag

Running the Application

1. To launch the Travel Guide UI, run the following command in your terminal:

   streamlit run .\UI\travel_guide_ui.py

2. Once executed, the Streamlit app will open in your default web browser.

Usage example

1. Text-Based Travel Itinerary Generation:

   • Enter a city name and trip duration (e.g., "3 days in Rome").
   • Click Generate Itinerary to get a day-by-day plan of what to do in that city.

2. Image-Based Location Identification:

   • Upload an image of a landmark using the drag-and-drop functionality or by browsing files.
   • Click Identify location to detect the location and receive relevant travel suggestions.