Update app.py

app.py

@@ -158,23 +158,19 @@ description = "This notebook provides a (limited) hands-on demonstration of MTTR
 article = "**Disclaimer:** <br> This is a **limited** demonstration of MTTR's performance. The model used here was trained **exclusively** on Refer-YouTube-VOS with window size `w=12` (as described in our paper). No additional training data was used whatsoever. Hence, the model's performance may be limited, especially on instances from unseen categories. <br> Additionally, slow processing times may be encountered, depending on the input clip length and/or resolution, and due to HuggingFace's limited computational resources (no GPU acceleration unfortunately). <br> Finally, we emphasize that this demonstration is intended to be used for academic purposes only. We do not take any responsibility for how the created content is used or distributed. <br> <p style='text-align: center'><a href='https://github.com/mttr2021/MTTR'>Github Repo</a></p>"
 
 examples = [['guy in white shirt performing tricks on a bike', 'bike_tricks_2.mp4'],
-	      		['a man riding a surfboard', 'surfing.mp4'],
-	      		['a guy performing tricks on a skateboard', 'skateboarding.mp4'],			
-	      		['man in red shirt playing tennis', 'tennis.mp4'],
-	      		['brown and black dog playing', 'dogs_playing_1.mp4'],
-	      		['a dog to the left playing with a toy', 'dogs_playing_2.mp4'],
-	      		['person in blue riding a bike', 'blue_biker_riding.mp4'],
-		      	['a dog to the right', 'dog_and_cat.mp4'],
-	      		['a person hugging a dog', 'girl_hugging_dog.mp4'],
-	      		['a black bike used to perform tricks', 'bike_tricks_1.mp4'],
-	      		['a black horse playing with a person', 'horse_plays_ball.mp4']    ]
-
-
-# article = "<p style='text-align: center'><a href='https://github.com/mttr2021/MTTR'>Github Repo</a></p>"
-# article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2111.14821'>End-to-End Referring Video Object Segmentation with Multimodal Transformers</a> | <a href='https://github.com/mttr2021/MTTR'>Github Repo</a></p>"
+			['a man riding a surfboard', 'surfing.mp4'],
+			['a guy performing tricks on a skateboard', 'skateboarding.mp4'],			
+			['man in red shirt playing tennis', 'tennis.mp4'],
+			['brown and black dog playing', 'dogs_playing_1.mp4'],
+			['a dog to the left playing with a toy', 'dogs_playing_2.mp4'],
+			['person in blue riding a bike', 'blue_biker_riding.mp4'],
+			['a dog to the right', 'dog_and_cat.mp4'],
+			['a person hugging a dog', 'girl_hugging_dog.mp4'],
+			['a black bike used to perform tricks', 'bike_tricks_1.mp4'],
+			['a black horse playing with a person', 'horse_plays_ball.mp4']]
 
 iface = gr.Interface(fn=process, 
-                     inputs=[gr.inputs.Textbox(label="text query"), gr.inputs.Video(label="Input video. First 10 seconds of the video are used.")],
+                     inputs=[gr.inputs.Textbox(label="text query"), gr.inputs.Video(label="input video - first 10 seconds are used")],
                      outputs='video',
                      title=title,
                      description=description,