xueyanz akhaliq HF staff commited on
Commit
4788a4c
1 Parent(s): bc03533

add duplicate spaces badge (#2)

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- add duplicate spaces badge (2bbfdf8b49ac22e18d1c9dfe5286b99df99cd1fb)


Co-authored-by: Ahsen Khaliq <akhaliq@users.noreply.huggingface.co>

Files changed (1) hide show
  1. app.py +5 -1
app.py CHANGED
@@ -85,7 +85,11 @@ def inference(image, task, *args, **kwargs):
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  launch app
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  '''
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  title = "X-Decoder All-in-One Demo"
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- description = "<p style='text-align: center'> <a href='https://x-decoder-vl.github.io/' target='_blank'>Project Page</a> | <a href='https://arxiv.org/pdf/2212.11270.pdf' target='_blank'>Paper</a> | <a href='https://github.com/microsoft/X-Decoder' target='_blank'>Github Repo</a> | <a href='https://youtu.be/wYp6vmyolqE' target='_blank'>Video</a> </p>"
 
 
 
 
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  article = "The Demo is Run on X-Decoder (Focal-T)."
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  inputs = [gr.inputs.Image(type='pil'), gr.inputs.Radio(choices=["Referring Segmentation", 'Open Vocabulary Semantic Segmentation','Open Vocabulary Instance Segmentation', "Open Vocabulary Panoptic Segmentation", "Image Captioning", "Text Retrieval", "Image/Region Retrieval", "Referring Captioning (Beta)", "Referring Editing"], type="value", default="OpenVocab Semantic Segmentation", label="Task"), gr.Textbox(label="xdecoder_text"), gr.Textbox(label="inpainting_text"), gr.Textbox(label="task_description")]
 
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  launch app
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  '''
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  title = "X-Decoder All-in-One Demo"
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+ description = """<p style='text-align: center'> <a href='https://x-decoder-vl.github.io/' target='_blank'>Project Page</a> | <a href='https://arxiv.org/pdf/2212.11270.pdf' target='_blank'>Paper</a> | <a href='https://github.com/microsoft/X-Decoder' target='_blank'>Github Repo</a> | <a href='https://youtu.be/wYp6vmyolqE' target='_blank'>Video</a> </p>
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+ <p>Skip the queue by duplicating this space and upgrading to GPU in settings</p>
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+ <a href="https://huggingface.co/spaces/xdecoder/Demo?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
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+ """
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+
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  article = "The Demo is Run on X-Decoder (Focal-T)."
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  inputs = [gr.inputs.Image(type='pil'), gr.inputs.Radio(choices=["Referring Segmentation", 'Open Vocabulary Semantic Segmentation','Open Vocabulary Instance Segmentation', "Open Vocabulary Panoptic Segmentation", "Image Captioning", "Text Retrieval", "Image/Region Retrieval", "Referring Captioning (Beta)", "Referring Editing"], type="value", default="OpenVocab Semantic Segmentation", label="Task"), gr.Textbox(label="xdecoder_text"), gr.Textbox(label="inpainting_text"), gr.Textbox(label="task_description")]