FengHou97 commited on
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f2ed16f
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1 Parent(s): ac729e4

Update app.py

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  1. app.py +3 -3
app.py CHANGED
@@ -20,8 +20,8 @@ inputs = [
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  label="Prompt Template Prompt",
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  placeholder="Optional prompt template as prefix",
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  value=""),
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- gr.Textbox(lines=1,
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- label="Prior Domains", placeholder="Add a domain label, one by one",),
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  gr.Textbox(lines=1,
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  label="Candidate Labels", placeholder="Add a class label, one by one",),
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  ]
@@ -37,7 +37,7 @@ def shot(image, labels_text, model_name, hypothesis_template):
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  iface = gr.Interface(shot,
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  inputs,
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  "label",
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- examples=[["festival.jpg", "lantern, firecracker, couplet", "ViT/B-16", "a photo of a {}"]],
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  description="""<p>Chinese CLIP is a contrastive-learning-based vision-language foundation model pretrained on large-scale Chinese data. For more information, please refer to the paper and official github. Also, Chinese CLIP has already been merged into Huggingface Transformers! <br><br>
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  Paper: <a href='https://arxiv.org/pdf/2403.02714'>https://arxiv.org/pdf/2403.02714</a> <br>
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  To begin with the demo, provide a picture (either upload manually, or select from the given examples) and add class labels one by one. Optionally, you can also add template as a prefix to the class labels. <br>""",
 
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  label="Prompt Template Prompt",
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  placeholder="Optional prompt template as prefix",
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  value=""),
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+ # gr.Textbox(lines=1,
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+ # label="Prior Domains", placeholder="Add a domain label, one by one",),
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  gr.Textbox(lines=1,
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  label="Candidate Labels", placeholder="Add a class label, one by one",),
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  ]
 
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  iface = gr.Interface(shot,
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  inputs,
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  "label",
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+ examples=[["festival.jpg", "ViT/B-16", "a photo of a {}", "lantern, firecracker, couplet"]],
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  description="""<p>Chinese CLIP is a contrastive-learning-based vision-language foundation model pretrained on large-scale Chinese data. For more information, please refer to the paper and official github. Also, Chinese CLIP has already been merged into Huggingface Transformers! <br><br>
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  Paper: <a href='https://arxiv.org/pdf/2403.02714'>https://arxiv.org/pdf/2403.02714</a> <br>
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  To begin with the demo, provide a picture (either upload manually, or select from the given examples) and add class labels one by one. Optionally, you can also add template as a prefix to the class labels. <br>""",