# 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.
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"description": "\r\n# Emotion Detector with Pyttsx3 & NetHyTech \r\n\r\n\r\nEmotion Detector is a Python package for detecting emotions in text using sentiment analysis and keyword tracking.\r\n\r\n## Features\r\n\r\n- Detects emotions in text using sentiment analysis and keyword tracking.\r\n- Supports a wide range of emotions, including happy, sad, angry, neutral, and more.\r\n- Adjustable speech characteristics based on detected emotion.\r\n- Easy-to-use interface for integrating emotion detection into your Python applications.\r\n\r\n## Installation\r\n\r\nYou can install Emotion Detector via pip:\r\n\r\n```bash\r\npip install NetHyTech-Pyttsx3-Speak\r\n```\r\n\r\n## Usage\r\n\r\n```python\r\nfrom NetHyTech_Pyttsx3_Speak import speak\r\nspeak(\"text\",0)\r\nspeak(\"text\",1)\r\nspeak(\"text\",2)\r\n\r\n```\r\n\r\nFor more usage examples and advanced customization, check the [documentation](https://github.com/AnubhavChaturvedi-GitHub).\r\n\r\n## Documentation\r\n\r\nThe full documentation for Emotion Detector can be found [here](https://github.com/AnubhavChaturvedi-GitHub).\r\n\r\n## Contributing\r\n\r\nWe welcome contributions from the community! If you have any ideas, suggestions, or bug fixes, please open an issue or submit a pull request.\r\n\r\n## License\r\n\r\nThis project is licensed under the [MIT License](https://opensource.org/licenses/MIT) - see the [LICENSE](LICENSE) file for details.\r\n\r\n## Acknowledgements\r\n\r\n- This project relies on the [TextBlob](https://textblob.readthedocs.io/) library for sentiment analysis.\r\n- Special thanks to [Pyttsx3](https://pypi.org/project/pyttsx3/) for providing text-to-speech functionality.\r\n",
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