add training reference

README.md

@@ -1,6 +1,6 @@
 ---
 title: Dog Emotions Vision Classifier
-emoji: 🐨
+emoji: 🐶
 colorFrom: gray
 colorTo: blue
 sdk: gradio

app.py

@@ -45,7 +45,7 @@ def predict(img):
 
 title = "Dog Emotions Vision Classifier"
 description = "A vision classifier that distinguishes between sad and happy dogs."
-article = "The model was trained in the [Dogs Emotions Dataset](https://huggingface.co/datasets/Q-b1t/Dogs_Emotions_Dataset) using the pretrained convolutional blocks of the VGG16 architecture and a custom classifier."
+article = "The model was trained in the [Dogs Emotions Dataset](https://huggingface.co/datasets/Q-b1t/Dogs_Emotions_Dataset) using the pretrained convolutional blocks of the VGG16 architecture and a custom classifier. For more information regarding the training, refer this [colab notebook](https://colab.research.google.com/drive/1QqjLFsNV_8N1xr29BVwn4QVs_VH6lXmV?usp=sharing)."
 
 example_list = [["examples/" + example] for example in os.listdir("examples")]