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-Run emotion model with 3 lines of code on single text example using Hugging Face's pipeline command:
+## Description
+
+This deep neural network classifies the emotions in English text data. The model was trained on diverse datasets and predicts 7 emotions:
+
+1) anger
+2) disgust
+3) fear
+4) joy
+5) neutral
+6) sadness
+7) surprise
+
+## Application
+
+a) Run emotion model with 3 lines of code on single text example using Hugging Face's pipeline command:
 
 [![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/simple_emotion_pipeline.ipynb)
 
-Run emotion model on multiple examples and full datasets (e.g., .csv files):
+b) Run emotion model on multiple examples and full datasets (e.g., .csv files):
 
 [![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)
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