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Update app.py
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app.py
CHANGED
@@ -1,4 +1,5 @@
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import os
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os.system('pip install transformers==4.25.1')
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os.system('pip install sentencepiece')
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# workaround: install old version of pytorch since detectron2 hasn't released packages for pytorch 1.9 (issue: https://github.com/facebookresearch/detectron2/issues/3158)
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@@ -23,8 +24,9 @@ model = LayoutLMv2ForTokenClassification.from_pretrained("amir22010/layoutxlm-xf
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# load image example
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#dataset = load_dataset("ranpox/xfund", 'xfund.ja', split="validation")
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#image = Image.open(dataset[0]["image"][0]).convert("RGB")
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# define id2label, label2color
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labels = [
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'O',
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@@ -93,8 +95,8 @@ css = ".output-image, .input-image {height: 40rem !important; width: 100% !impor
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css = ".image-preview {height: auto !important;}"
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iface = gr.Interface(fn=infer,
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inputs=gr.Image(type="pil"),
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outputs=gr.Image(type="pil", label="annotated image"),
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title=title,
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description=description,
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article=article,
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import os
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os.system('pip install pyyaml==5.1')
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os.system('pip install transformers==4.25.1')
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os.system('pip install sentencepiece')
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# workaround: install old version of pytorch since detectron2 hasn't released packages for pytorch 1.9 (issue: https://github.com/facebookresearch/detectron2/issues/3158)
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# load image example
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#dataset = load_dataset("ranpox/xfund", 'xfund.ja', split="validation")
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#image = Image.open(dataset[0]["image"][0]).convert("RGB")
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image1 = Image.open("./ja_val_49.jpg").convert("RGB")
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image1.save("document.jpg")
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# define id2label, label2color
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labels = [
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'O',
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css = ".image-preview {height: auto !important;}"
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iface = gr.Interface(fn=infer,
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inputs=gr.inputs.Image(type="pil"),
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outputs=gr.outputs.Image(type="pil", label="annotated image"),
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title=title,
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description=description,
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article=article,
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