Metadata-Version: 2.1
Name: protogenie
Version: 0.0.2
Summary: Pre-processing of NLP training corpora
Home-page: https://github.com/ponteineptique/nlp-pie-taggers
Author: Thibault Clérice
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
Requires-Dist: regex
Requires-Dist: click (<=8.0,>=7.0)
Requires-Dist: dataclasses ; python_version < "3.7"
Requires-Dist: typing ; python_version < "3.7"


Protogenie
====================

[![Coverage Status](https://coveralls.io/repos/github/hipster-philology/protogenie/badge.svg?branch=master)](https://coveralls.io/github/hipster-philology/protogenie?branch=master)
[![Build Status](https://travis-ci.org/hipster-philology/protogenie.svg?branch=master)](https://travis-ci.org/hipster-philology/protogenie)
[![PyPI](https://img.shields.io/pypi/v/protogenie)](https://pypi.org/project/protogenie)

## Install from release

```bash
pip install protogenie
```

## Install unstable

```bash
pip install --upgrade https://github.com/hipster-philology/protogenie/archive/master.zip
```

## Install from source

Start by cloning the repository, and moving inside the created folder

```bash
git clone https://github.com/hipster-philology/protogenie.git
cd protogenie/
```

Create a virtual environment, source it and run

```bash
pip install -r requirements.txt
```

## Configuration file

To configurate, you can have a look at the examples in [./tests/test_config](./tests/test_config) but more generally
you can and should use the schema: [./ppa_splitter/schema.rng](./ppa_splitter/schema.rng)

## Workflow

![What's the workflow ?](flow.png)


