gpt-repository-loader is a command-line tool that converts the contents of a Git repository into a text format, preserving the structure of the files and file contents. The generated output can be interpreted by AI language models, allowing them to process the repository's contents for various tasks, such as code review or documentation generation.

Some context around building this is located here. Appreciate any issues and pull requests in the spirit of having mostly GPT build out this tool. Using ChatGPT Plus is recommended for quick access to GPT-4.

To get started with gpt-repository-loader, follow these steps:

1. Ensure you have Python 3 installed on your system.

2. Clone or download the gpt-repository-loader repository.

3. Navigate to the repository's root directory in your terminal.

4. Run gpt-repository-loader with the following command:

   python gpt_repository_loader.py /path/to/git/repository [-p /path/to/preamble.txt] [-o /path/to/output_file.txt]

   Replace /path/to/git/repository with the path to the Git repository you want to process. Optionally, you can specify a preamble file with -p or an output file with -o. If not specified, the default output file will be named output.txt in the current directory.

5. The tool will generate an output.txt file containing the text representation of the repository. You can now use this file as input for AI language models or other text-based processing tasks.

To run the tests for gpt-repository-loader, follow these steps:

1. Ensure you have Python 3 installed on your system.

2. Navigate to the repository's root directory in your terminal.

3. Run the tests with the following command:

   python -m unittest test_gpt_repository_loader.py

Now, the test harness is added to the gpt-repository-loader project. You can run the tests by executing the command python -m unittest test_gpt_repository_loader.py in your terminal.

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