Update app.py

app.py

@@ -74,7 +74,7 @@ output = [gr.Label(), gr.Plot()]
 title = 'Bag of Image Classification'
 description = 'This is the demo for Keras Implementation of Classification using Attention-based Deep Multiple Instance Learning (MIL). The model will try to predict whether number 8 is within the set of input images. As it was trained on MNIST dataset, please use MNIST image for precise result.'    
 
-article = "Author: <a href=\"https://huggingface.co/geninhu\">Nhu Hoang</a>. Based on the following Keras example <a href="https://keras.io/examples/vision/attention_mil_classification/"> Classification using Attention-based Deep Multiple Instance Learning (MIL)</a> by <a href=\"https://www.linkedin.com/in/mohamadjaber1\">Mohamad Jaber.</a> <br> Check out the model <a href="https://huggingface.co/keras-io/attention_mil">here</a>"
+article = "Author: <a href=\"https://huggingface.co/geninhu\">Nhu Hoang</a>. Based on the following Keras example <a href=\"https://keras.io/examples/vision/attention_mil_classification\"> Classification using Attention-based Deep Multiple Instance Learning (MIL)</a> by <a href=\"https://www.linkedin.com/in/mohamadjaber1\">Mohamad Jaber.</a> <br> Check out the model <a href=\"https://huggingface.co/keras-io/attention_mil\">here</a>"
 
 gr_interface = gr.Interface(
     infer, inputs=[input1, input2, input3], outputs=output, allow_flagging='never',