Update README.md

README.md

@@ -28,7 +28,6 @@ The dense model that we used consists of:
 - 4 dense hidden layers and 4 dropout layers.
 - An output dense layer.
 
-Full Credits to <a href = "https://twitter.com/fadibadine" target='_blank'> Fadi Badine </a> for this work.
 
 ## Training and evaluation data
 
@@ -172,4 +171,10 @@ AUC        | 0.8909
 d-prime    | 1.742 
 
 And the confusion matrix for the validation set is:
-![Validation Confusion Matrix](./confusion_matrix.png)
+![Validation Confusion Matrix](./confusion_matrix.png)
+
+## Credits
+
+Author: [Fadi Badine](https://twitter.com/fadibadine).   
+Based on the following Keras example [English speaker accent recognition using Transfer Learning](https://keras.io/examples/audio/uk_ireland_accent_recognition") by Fadi Badine    
+Check out the demo space [here](https://huggingface.co/keras-io/spaces/english-speaker-accent-recognition-using-transfer-learning)