Update README.md

README.md

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-## Description
+## Description ℹ
 
 With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets (see Appendix) and predicts Ekman's 6 basic emotions, plus a neutral class:
 
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 The model is a fine-tuned checkpoint of DistilRoBERTa-base.
 
-## Application
+## Application 🚀
 
 a) Run emotion model with 3 lines of code on single text example using Hugging Face's pipeline command on Google Colab:
 
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 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/j-hartmann/emotion-english-distilroberta-base/blob/main/emotion_prediction_example.ipynb)
 
-## Contact
+## Contact 💻
 
 Please reach out to jochen.hartmann@uni-hamburg.de if you have any questions or feedback.
 
 Thanks to Samuel Domdey and chrsiebert for their support in making this model available.
 
-## Appendix
+## Appendix 📚
 
 Please find an overview of the datasets used for training below. All datasets contain English text. The table summarizes which emotions are available in each of the datasets.