Fix text

gradio_app.py

@@ -187,7 +187,7 @@ def segment(path, task, dataset, backbone):
 
 title = "OneFormer: One Transformer to Rule Universal Image Segmentation"
 
-description = "<p style='font-size: 12px; margin: 5px; font-weight: w300; text-align: center'> <a href='https://praeclarumjj3.github.io/' target='_blank'>Jitesh Jain</a> <a href='https://chrisjuniorli.github.io/' target='_blank'>Jiachen Li<sup>*</sup></a> <a href='https://www.linkedin.com/in/mtchiu/' target='_blank'>MangTik Chiu<sup>*</sup></a> <a href='https://alihassanijr.com/' target='_blank'>Ali Hassani</a> <a href='https://www.linkedin.com/in/nukich74/' target='_blank'>Nikita Orlov</a> <a href='https://www.humphreyshi.com/home' target='_blank'>Humphrey Shi</a></p>" \
+description = "<p style='font-size: 12px; margin: 5px; font-weight: w300; text-align: center'> <a href='https://praeclarumjj3.github.io/' style='text-decoration:none' target='_blank'>Jitesh Jain, </a> <a href='https://chrisjuniorli.github.io/' style='text-decoration:none' target='_blank'>Jiachen Li<sup>*</sup>, </a> <a href='https://www.linkedin.com/in/mtchiu/' style='text-decoration:none' target='_blank'>MangTik Chiu<sup>*</sup>, </a> <a href='https://alihassanijr.com/' style='text-decoration:none' target='_blank'>Ali Hassani, </a> <a href='https://www.linkedin.com/in/nukich74/' style='text-decoration:none' target='_blank'>Nikita Orlov, </a> <a href='https://www.humphreyshi.com/home' style='text-decoration:none' target='_blank'>Humphrey Shi</a></p>" \
             + "<p style='font-size: 16px; margin: 5px; font-weight: w600; text-align: center'> <a href='https://praeclarumjj3.github.io/oneformer/' target='_blank'>Project Page</a> | <a href='https://arxiv.org/abs/2211.06220' target='_blank'>ArXiv Paper</a> | <a href='https://github.com/SHI-Labs/OneFormer' target='_blank'>Github Repo</a></p>" \
             + + "<p style='text-align: center; margin: 5px; font-size: 14px; font-weight: w300;'>  \
                 OneFormer is the first multi-task universal image segmentation framework based on transformers. Our single OneFormer model achieves state-of-the-art performance across all three segmentation tasks with a single task-conditioned joint training process. OneFormer uses a task token to condition the model on the task in focus, making our architecture task-guided for training, and task-dynamic for inference, all with a single model. We believe OneFormer is a significant step towards making image segmentation more universal and accessible.\