dangermode 0.2.0

ChatGPT Danger Mode for Jupyter

🚨 Dangermode

Overview

🚨 Dangermode is a ChatGPT Plugin written with Python and FastAPI that allows users to execute code snippets in an IPython session.

⚠️ Dangermode is a proof-of-concept and should not be used in production. It is not secure and should not be used to execute code on a remote server. ⚠️

Features

• Execute code snippets in an IPython session through ChatGPT.
• Inspect variables and view results in real-time.
• Serve images and display data to ChatGPT.

Get started, the recommended way

Since you don't want to unleash ChatGPT on your own machine, lab, etc. Build the docker image and run it locally like this:

docker build . -t dangermode
docker run -p 8000:8000 -i -t --rm dangermode

(SCARY DANGER MODE) Installation

To install the Dangermode package, use the following command:

pip install dangermode

Usage

🚨🚨🚨 YOU ARE GIVING AN AI ACCESS TO YOUR ENTIRE COMPUTER. 🚨🚨🚨

After installing the package, you can use the Dangermode plugin in your IPython session. Here's how to get started:

1. Import the dangermode package in your IPython session.

import dangermode

2. Activate the Dangermode plugin.

dangermode.activate_dangermode()

3. Use ChatGPT to run code snippets and interact with your IPython session.

API Endpoints

• GET /openapi.json: Retrieve the OpenAPI JSON configuration.
• GET /.well-known/ai-plugin.json: Retrieve the AI plugin JSON configuration.
• GET /images/{image_name}: Retrieve an image by its name.
• GET /api/variable/{variable_name}: Retrieve the value of a variable by its name.
• POST /api/run_cell: Execute a code cell and return the result.

Contributing

Please do. I can't let Large Language Models write all of it.

Please fork the repository, make your changes, and submit a pull request.

License

Dangermode is released under the BSD 3-Clause License. See LICENSE for more information.

Contact

If you have any questions or feedback, please feel free to reach out to the author, Kyle Kelley, on Twitter at @KyleRayKelley or just open an issue on the repository.