Metadata-Version: 2.1
Name: text-emotion
Version: 0.0.2
Summary: Multilingual Emotion Classification
Home-page: https://github.com/ma2za/text-emotion
License: MIT
Keywords: text-emotion,xlm-roberta,text-classification,multilingual
Author: ma2za
Author-email: mazzapaolo2019@gmail.com
Requires-Python: >=3.8,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: easynmt (>=2.0.2,<3.0.0)
Requires-Dist: fasttext (>=0.9.2,<0.10.0)
Requires-Dist: requests (>=2.31.0,<3.0.0)
Requires-Dist: torch (>=2.0.1,<3.0.0)
Requires-Dist: transformers (>=4.29.2,<5.0.0)
Project-URL: Repository, https://github.com/ma2za/text-emotion
Description-Content-Type: text/markdown

# Text Emotion

# Introduction

### Supported Languages

# Installation

You can install emotion using:

    $ pip install text-emotion

# Usage

```python
from text_emotion import Detector

detector = Detector()

print(detector.detect("Hello, I am so happy!", emotion_language="fr"))
```
