Here’s the revised README for the Mood Parser project on Hugging Face, using the correct repo name RummyAx/Mood-Parser:
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1# Mood Parser AI: Moodly23**Moodly** is an AI-powered Mood Parser that detects emotions in text using a fine-tuned transformer-based model, such as BERT or RoBERTa. Deployed on Hugging Face, it offers real-time mood analysis and emotion classification across multiple languages.
45## Demo67You can try **Moodly** directly on Hugging Face:
89[Try Moodly](https://huggingface.co/spaces/RummyAx/Mood-Parser)1011## How it Works1213Moodly detects a variety of emotions from text input. The model is trained on sentiment and emotion classification tasks to provide accurate results. It supports multiple languages for global usage.
1415### Supported Emotions1617- Happiness
18- Sadness
19- Anger
20- Fear
21- Surprise
22- Disgust
2324## Example2526### Input:27```text
28I am feeling really happy today!
Output:
json
1{2"emotion":"happiness",3"confidence":0.974}
API Usage
You can integrate the model into your applications using Hugging Face's API.
1curl -X POST "https://api-inference.huggingface.co/models/RummyAx/Mood-Parser"\2 -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY"\3 -H "Content-Type: application/json"\4 -d '{"inputs": "I am feeling very sad!"}'
This will allow you to use the model on your local machine.
Contributing
We welcome contributions to this project! To contribute:
Fork the repository
Create a new branch (git checkout -b feature-branch)
Commit your changes (git commit -am 'Add new feature')
Push to the branch (git push origin feature-branch)
Create a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
Hugging Face for providing the platform and hosting the model.
The authors of BERT and RoBERTa for their powerful transformer models.
The open-source community for their contributions to NLP.
This updated README reflects the correct repository name `RummyAx/Mood-Parser` and includes links and API usage instructions for your Hugging Face project. Make sure to replace the `YOUR_HUGGINGFACE_API_KEY` placeholder with your actual Hugging Face API key.