Metadata-Version: 2.1
Name: NetHyTech-Pyttsx3-Speak
Version: 1.0
Summary: A package for controlling mouse actions using hand gestures
Home-page: https://github.com/AnubhavChaturvedi-GitHub/NetHyTech-MCV
Author: Anubhav Chaturvedi
Author-email: chaturvedianubhav520@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: pyttsx3
Requires-Dist: textblob


# Emotion Detector with Pyttsx3 & NetHyTech 


Emotion Detector is a Python package for detecting emotions in text using sentiment analysis and keyword tracking.

## Features

- Detects emotions in text using sentiment analysis and keyword tracking.
- Supports a wide range of emotions, including happy, sad, angry, neutral, and more.
- Adjustable speech characteristics based on detected emotion.
- Easy-to-use interface for integrating emotion detection into your Python applications.

## Installation

You can install Emotion Detector via pip:

```bash
pip install NetHyTech-Pyttsx3-Speak
```

## Usage

```python
from NetHyTech_Pyttsx3_Speak import speak
speak("text",0)
speak("text",1)
speak("text",2)

```

For more usage examples and advanced customization, check the [documentation](https://github.com/AnubhavChaturvedi-GitHub).

## Documentation

The full documentation for Emotion Detector can be found [here](https://github.com/AnubhavChaturvedi-GitHub).

## Contributing

We welcome contributions from the community! If you have any ideas, suggestions, or bug fixes, please open an issue or submit a pull request.

## License

This project is licensed under the [MIT License](https://opensource.org/licenses/MIT) - see the [LICENSE](LICENSE) file for details.

## Acknowledgements

- This project relies on the [TextBlob](https://textblob.readthedocs.io/) library for sentiment analysis.
- Special thanks to [Pyttsx3](https://pypi.org/project/pyttsx3/) for providing text-to-speech functionality.
