https://github.com/lucasrcezimbra/llm-jupyter

LLM plugin to run an IPython interpreter or notebook in the LLM virtual environment and use the LLM from within the interpreter or notebook as a magic function.
https://github.com/lucasrcezimbra/llm-jupyter

hacktoberfest ipython jupyter llm llm-ipython llm-jupyter llm-python python

Last synced: 3 days ago
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LLM plugin to run an IPython interpreter or notebook in the LLM virtual environment and use the LLM from within the interpreter or notebook as a magic function.

• Host: GitHub
• URL: https://github.com/lucasrcezimbra/llm-jupyter
• Owner: lucasrcezimbra
• License: apache-2.0
• Created: 2024-05-12T15:31:33.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-10-08T11:46:47.000Z (4 months ago)
• Last Synced: 2024-10-13T11:21:53.057Z (4 months ago)
• Topics: hacktoberfest, ipython, jupyter, llm, llm-ipython, llm-jupyter, llm-python, python
• Language: Python
• Homepage:
• Size: 337 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# llm-jupyter

[![PyPI](https://img.shields.io/pypi/v/llm-jupyter.svg)](https://pypi.org/project/llm-jupyter/)

[![Changelog](https://img.shields.io/github/v/release/lucasrcezimbra/llm-jupyter?include_prereleases&label=changelog)](https://github.com/lucasrcezimbra/llm-jupyter/releases)

[![Tests](https://github.com/lucasrcezimbra/llm-jupyter/workflows/Test/badge.svg)](https://github.com/lucasrcezimbra/llm-jupyter/actions?query=workflow%3ATest)

[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/lucasrcezimbra/llm-jupyter/blob/main/LICENSE)

Run a IPython interpreter in the [LLM](https://github.com/simonw/llm) virtual environment

## Installation

Install this plugin in the same environment as [LLM](https://llm.datasette.io/).

```bash

pipx install llm

llm install llm-jupyter

```

## Usage

### IPython

This plugin adds a new `ipython` command to LLM. This executes IPython in the same virtual environment as LLM itself.

You can use this to check the Python version

```bash

llm ipython --version

# Should output '8.20.0' or similar

```

Or to start a IPython shell. In that shell you can import `llm` and use it to interact with models:

```bash

llm ipython

```

```python

In [1]: %llm 'Who are you?'

# LLM output will be set as the next input

In [2]: print("I am a Python programmer using Jupyter Notebook.")

I am a Python programmer using Jupyter Notebook.

In [3]: %llm --help

usage: __main__.py [-h] [--print] [--model MODEL] [--system SYSTEM] [prompt ...]

positional arguments:

  prompt                Prompt to use

optional arguments:

  -h, --help            show this help message and exit

  --print, -p           Only print the output

  --model MODEL, -m MODEL

                        Model to use

  --system SYSTEM, -s SYSTEM

                        System prompt to use

```

https://github.com/lucasrcezimbra/llm-jupyter/assets/7042915/b7f8a9ec-d269-4b24-bac3-a01ad6802032

### Notebook

This plugin also adds a new `notebook` command to LLM. This executes a Jupyter Notebook in the same virtual environment as LLM itself.

```bash

llm notebook

```

```python

%load_ext llm_jupyter.magic

%llm 'Who are you?'

# LLM output will be set as the next input

print("I am a Python programmer using Jupyter Notebook.")

```

https://github.com/lucasrcezimbra/llm-jupyter/assets/7042915/58c63b2e-3a7b-43f1-b0aa-ab3daf2e9810

## Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

```bash

git clone [email protected]:lucasrcezimbra/llm-jupyter.git

cd llm-jupyter

python -m venv .venv

source .venv/bin/activate

pip install -e .[test]

```

Now install the dependencies and test dependencies:

```bash

llm install -e '.[test]'

```

To run the tests:

```bash

pytest

```