# 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.
Raw data
{
"_id": null,
"home_page": "https://github.com/AnubhavChaturvedi-GitHub/NetHyTech-MCV",
"name": "NetHyTech-Pyttsx3-Speak",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.6",
"maintainer_email": null,
"keywords": null,
"author": "Anubhav Chaturvedi",
"author_email": "chaturvedianubhav520@gmail.com",
"download_url": null,
"platform": null,
"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",
"bugtrack_url": null,
"license": null,
"summary": "A package for controlling mouse actions using hand gestures",
"version": "1.0",
"project_urls": {
"Homepage": "https://github.com/AnubhavChaturvedi-GitHub/NetHyTech-MCV"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "9b5490dd115e33a39657aec0a8a36358d8d26fe9b06b8182fe6c1cee27b109a4",
"md5": "6216767a160348d71052d49b3dc08117",
"sha256": "674508659f9d0a158efc6582d1e526f0fcfb952f4cb5ca29ae775d62636ba9e7"
},
"downloads": -1,
"filename": "NetHyTech_Pyttsx3_Speak-1.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "6216767a160348d71052d49b3dc08117",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 5882,
"upload_time": "2024-05-08T17:30:45",
"upload_time_iso_8601": "2024-05-08T17:30:45.054018Z",
"url": "https://files.pythonhosted.org/packages/9b/54/90dd115e33a39657aec0a8a36358d8d26fe9b06b8182fe6c1cee27b109a4/NetHyTech_Pyttsx3_Speak-1.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-05-08 17:30:45",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "AnubhavChaturvedi-GitHub",
"github_project": "NetHyTech-MCV",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "nethytech-pyttsx3-speak"
}
JSON
