A LangChain implementation of the ChatGPT Code Interpreter. Using CodeBoxes as backend for sandboxed python code execution. CodeBox is the simplest cloud infrastructure for your LLM Apps. You can run everything local except the LLM using your own OpenAI API Key.

• Dataset Analysis, Stock Charting, Image Manipulation, ....
• Internet access and auto Python package installation
• Input text + files -> Receive text + files
• Run everything local except the OpenAI API (OpenOrca or others coming soon)
• Use CodeBox API for easy scaling in production (coming soon)

Get your OpenAI API Key here and install the package.

pip install codeinterpreterapi

from codeinterpreterapi import CodeInterpreterSession


async def main():
    # start a session
    session = CodeInterpreterSession()
    await session.astart()

    # generate a response based on user input
    output = await session.generate_response(
        "Plot the bitcoin chart of 2023 YTD"
    )
    # show output image in default image viewer
    file = output.files[0]
    file.show_image()

    # show output text
    print("AI: ", output.content)

    # terminate the session
    await session.astop()
    

if __name__ == "__main__":
    import asyncio, os
    os.environ["OPENAI_API_KEY"] = "sk-*********"  # or .env file

    asyncio.run(main())

In case you want to deploy to production you can use the CodeBox API for easy scaling.

Please contact me if you interested in this, because it's still in early development.

There are some TODOs left in the code so if you want to contribute feel free to do so. You can also suggest new features. Code refactoring is also welcome. Just open an issue pull request and I will review it.

Also please submit any bugs you find as an issue with a minimal code example or screenshot. This helps me a lot to improve the code.

Thanks!

MIT

You can contact me at contact@shroominic.com. But I prefer to use Twitter or Discord DMs.