Llama Parse Multimodal LLM

This repository contains code for using a multimodal LLM with LlamaParse to answer questions about documents.

Overview

The project is organized as follows:

• run_example1_multimodal.ipynb: Code to run the Llama Parse and the multimodal LLM on Example 1
• run_example2_multimodal.ipynb: Code to run the Llama Parse and the multimodal LLM on Example 2
• requirements.txt: List of Python dependencies
• data/: Directory containing sample documents and images for testing

Installation

1. Clone this repository:

   git clone https://github.com/your-username/llama-parse-multimodal-llm.git
   cd llama-parse-multimodal-llm
   

2. Create a virtual environment and activate it:

   python -m venv .venv
   source .venv/bin/activate  # On Windows, use `.venv\Scripts\activate`
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

4. Set up your LlamaParse API key:

   • Create a .env file in the project root
   • Add your API key: LLAMA_PARSE_API_KEY=your_api_key_here

5. Set up your OpenAI API key:

   • Create a .env file in the project root
   • Add your API key: OPENAI_API_KEY=your_api_key_here