Update app.py

app.py

@@ -125,10 +125,10 @@ outputs = gr.outputs.Textbox(label="Top 5 predicted labels")
 
 title = "X3D"
 description = "Gradio demo for X3D networks pretrained on the Kinetics 400 dataset. To use it, simply upload your video, or click one of the examples to load them. Read more at the links below."
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2004.04730'>X3D: Expanding Architectures for Efficient Video Recognition</a> | <a href='https://github.com/facebookresearch/pytorchvideo'>Github Repo</a></p>"
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2004.04730' target='_blank'>X3D: Expanding Architectures for Efficient Video Recognition</a> | <a href='https://github.com/facebookresearch/pytorchvideo' target='_blank'>Github Repo</a></p>"
 
 examples = [
     ['archery.mp4']
 ]
 
-gr.Interface(x3dpred, inputs, outputs, title=title, description=description, article=article, examples=examples, analytics_enabled=False).launch(debug=True)
+gr.Interface(x3dpred, inputs, outputs, title=title, description=description, article=article, examples=examples, analytics_enabled=False,).launch(debug=True)