Update app.py

app.py

@@ -59,14 +59,13 @@ outputs = gr.outputs.Label(type="confidences",num_top_classes=5)
 
 # Define style
 title = "Image Recognition Demo"
-description = "This is a prototype application which demonstrates how artifical intelligence based systems can recognize what object(s) is present in an image. This fundamental task in computer vision known as `Image Classification` has applications stretching from autonomous vehicles to medical imaging. To use it, simply upload your image, or click one of the examples images to load them, which I took at <a href='https://espacepourlavie.ca/en/biodome' target='_blank'>Montréal Biodôme</a>! Read more at the links below."
+description = "This is a prototype application which demonstrates how artifical intelligence based systems can recognize what object(s) is present in an image. This fundamental task in computer vision known as `Image Classification` has applications stretching from autonomous vehicles to medical imaging. To use it, simply upload your image."
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1512.03385' target='_blank'>Deep Residual Learning for Image Recognition</a> | <a href='https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py' target='_blank'>Github Repo</a></p>"
 
 # Run inference
 gr.Interface(inference, 
             inputs, 
             outputs, 
-            examples=["example1.jpg", "example2.jpg"], 
             title=title, 
             description=description, 
             article=article,