shengqiangShi commited on
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Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -35,7 +35,7 @@ title = "Interactive demo: zero-shot image segmentation with CLIPSeg"
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  description = "Demo for using CLIPSeg, a CLIP-based model for zero- and one-shot image segmentation. To use it, simply upload an image and add a text to mask (identify in the image), or use one of the examples below and click 'submit'. Results will show up in a few seconds."
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  article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.10003'>CLIPSeg: Image Segmentation Using Text and Image Prompts</a> | <a href='https://huggingface.co/docs/transformers/main/en/model_doc/clipseg'>HuggingFace docs</a></p>"
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- # examples = [["example_image.png", "wood"]]
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  interface = gr.Interface(fn=process_image,
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  inputs=[gr.Image(type="pil"), gr.Textbox(label="Please describe what you want to identify")],
 
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  description = "Demo for using CLIPSeg, a CLIP-based model for zero- and one-shot image segmentation. To use it, simply upload an image and add a text to mask (identify in the image), or use one of the examples below and click 'submit'. Results will show up in a few seconds."
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  article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.10003'>CLIPSeg: Image Segmentation Using Text and Image Prompts</a> | <a href='https://huggingface.co/docs/transformers/main/en/model_doc/clipseg'>HuggingFace docs</a></p>"
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+ examples = [["example_image.png", "wood"]]
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  interface = gr.Interface(fn=process_image,
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  inputs=[gr.Image(type="pil"), gr.Textbox(label="Please describe what you want to identify")],