AutorGPT 0.1.dev5

A package for generating technical articles from project codebases using LLMs

Technical Article Generator

This project automatically generates technical articles from a project's README and codebase using Large Language Models (LLM).

Features

• Parses project files and README
• Integrates with LLM to analyze code and generate articles
• Handles API key storage for LLM integration
• Outputs a markdown file with the generated technical article

Prerequisites

• Python 3.7+
• Access to an LLM API (e.g., OpenAI's GPT-3)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/technical-article-generator.git
   cd technical-article-generator
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

Usage

Run the script with the following command:

python main.py /path/to/your/project [--output output_file.md]

• /path/to/your/project: The path to the project directory you want to analyze
• --output: (Optional) Specify the output file name (default: technical_article.md)

On the first run, you will be prompted to enter your API key. This key will be saved in a key.txt file for future use.

Configuration

The project uses a key.txt file to store your API key. If this file doesn't exist, you'll be prompted to enter your key when you first run the script.

Project Structure

• main.py: The main script that orchestrates the article generation process
• file_parser.py: Handles parsing of project files
• readme_parser.py: Parses the project's README file
• llm_integrator.py: Integrates with the LLM API for content generation

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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

Acknowledgments

• Thanks to [LLM Provider] for providing the API used in this project
• Inspired by the need for automated technical documentation