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:
pip install NetHyTech-Pyttsx3-Speak
Usage
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.
Documentation
The full documentation for Emotion Detector can be found here.
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 - see the LICENSE file for details.
Acknowledgements
- This project relies on the TextBlob library for sentiment analysis.
- Special thanks to Pyttsx3 for providing text-to-speech functionality.