Update app.py

app.py

@@ -72,25 +72,17 @@ output = [gr.Label(), gr.Plot()]
 # output = [gr.Plot()]
 # it's good practice to pass examples, description and a title to guide users
 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.'
+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>"
 
 gr_interface = gr.Interface(
     infer, inputs=[input1, input2, input3], outputs=output, allow_flagging='never',
-    analytics_enabled=False, title=title, description=description,
+    analytics_enabled=False, title=title, description=description,  article=article,
     # examples = [[f'{i}.png' for i in range(0,3)], [f'{i}.png' for i in range(3,6)], [f'{i}.png' for i in range(6,9)], '9.png']
     examples = [['samples/0.png', 'samples/6.png', 'samples/2.png'], ['samples/1.png','samples/2.png', 'samples/3.png'],
                 ['samples/4.png', 'samples/8.png', 'samples/7.png'], ['samples/8.png', 'samples/0.png', 'samples/9.png'],
                 ['samples/5.png', 'samples/6.png', 'samples/3.png'], ['samples/7.png', 'samples/8.png', 'samples/9.png']]
 )
-
-with gr.Row():
-    gr.Markdown(
-        """
-        <h4>Credits</h4>
-        Author: <a href="https://huggingface.co/geninhu"> Nhu Hoang</a>.<br>
-        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.launch(enable_queue=True, debug=False)