Metadata-Version: 2.4
Name: ipyannote
Version: 0.4.0
Summary: Interactive pyannote widgets
Author-email: Hervé BREDIN <herve@pyannote.ai>
Requires-Python: >=3.10
Requires-Dist: anywidget>=0.9.13
Requires-Dist: numpy>=1.0.0
Requires-Dist: pyannote-core>=5.0.0
Requires-Dist: pyannote-metrics>=3.2.1
Requires-Dist: scipy>=1.14.1
Provides-Extra: io
Requires-Dist: torchcodec; extra == 'io'
Provides-Extra: wer
Requires-Dist: meeteval>=0.4.3; extra == 'wer'
Description-Content-Type: text/markdown

# ipyannote

## Installation

```sh
pip install ipyannote
```

or with [uv](https://github.com/astral-sh/uv):

```sh
uv add ipyannote
```

## Development

We recommend using [uv](https://github.com/astral-sh/uv) for development.
It will automatically manage virtual environments and dependencies for you.

```sh
uv run jupyter lab example.ipynb
```

Alternatively, create and manage your own virtual environment:

```sh
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
jupyter lab example.ipynb
```

The widget front-end code bundles it's JavaScript dependencies. After setting up Python,
make sure to install these dependencies locally:

```sh
npm install
```

While developing, you can run the following in a separate terminal to automatically
rebuild JavaScript as you make changes:

```sh
npm run dev
```

Open `example.ipynb` in JupyterLab, VS Code, or your favorite editor
to start developing. Changes made in `js/` will be reflected
in the notebook.
