Auto-Wiki: Research Paper Summarization Wiki

Auto-Wiki is a Python project that leverages the power of GPT-4, auto-gpt, and babyAGI (generative LLM-based agents) to automatically summarize and compare research papers into a wiki format. With the rapid growth of research papers being published, this tool aims to make it easier for the community to stay up-to-date and contribute to the knowledge base.

Users can contribute by providing their OpenAI API keys to generate more document summarizations or by submitting code. This collaborative approach ensures that the generated wiki remains relevant and comprehensive.

Features

Automatic summarization of research papers
Comparison of research papers
Wiki-style format for easy navigation and understanding
Community-driven contributions
Powered by GPT-4, auto-gpt, and babyAGI

Installation

Auto-Wiki uses Poetry for dependency management. To install the project, follow these steps:

Install Poetry if you haven't already.

Clone the repository:

git clone https://github.com/jbpacker/auto-wiki.git

Navigate to the project directory:
```
cd auto-wiki
```
Install the dependencies using Poetry:
```
poetry install
```

Usage

Obtain an OpenAI API key from OpenAI.
Export your OpenAI API key as an environment variable:
```
export OPENAI_API_KEY=your_api_key_here
```

Run the main script with the desired input:

poetry run python auto_wiki/run.py https://arxiv.org/pdf/link.to.paper.pdf

The summarized and compared research paper will be generated in the output directory.

Contributing

We welcome contributions from the community! You can contribute by providing your OpenAI API key to generate more documentation for specific documents, or by submitting code or summaries.

Fork the repository and create your branch from main.
Make your changes and commit them.
Push your branch and create a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

GPT-4, auto-gpt, and babyAGI for providing the generative LLM-based agents
OpenAI for their API and support (This document was written by gpt-4 afterall)
The research community for their continuous contributions and collaboration