Update app.py

app.py

@@ -71,11 +71,11 @@ inputs = gr.Image(type='pil',label='Insert the image')
 outputs = gr.Label(type="confidences",num_top_classes=5,label='Prediction')
 
 title = "Artist Classifier"
-description = "The classifier is a demo classifier to predict the painter using fine-tuned EfficientNet. It allows you to identify the creator of a painting among Van Gogh, Claude Monet, Leonardo da Vinci, Rembrandt, Pablo Picasso, and Salvador Dali. Just upload the image to the left blank box and click the Submit button. A list of confidence will be displayed. Following the link below to find a related work that helps to create your own paintings following the style of painters"
+description = "The classifier is a demo classifier to predict the painter using fine-tuned VGG16. Transfer learning is adopted that significantly reduces the time/resource cost.  It allows you to identify the creator of a painting among Van Gogh, Claude Monet, Leonardo da Vinci, Rembrandt, Pablo Picasso, and Salvador Dali. Just upload the image to the left blank box and click the Submit button. A list of confidence will be displayed. Following the link below to find a related work that helps to create your own paintings following the style of painters"
 
 article = """
 <p style='text-align: left'><a href='https://huggingface.co/spaces/breynolds1247/StarryNight_StyleTransfer'>Style Transfer: Create your own stylish paintings </a></p>
-<p style='text-align: left'>The app is based on <a href='https://arxiv.org/abs/1905.11946'>EfficientNet</a></p>
+<p style='text-align: left'>The app is based on <a href='https://arxiv.org/abs/1409.1556'>Very Deep Convolutional Networks</a></p>
 """
 
 #examples = [