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Update app.py
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app.py
CHANGED
@@ -25,7 +25,7 @@ model = AutoModelForTokenClassification.from_pretrained("Theivaprakasham/layoutl
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# load image example
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dataset = load_dataset("darentang/generated", split="test")
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-
Image.open("
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Image.open(dataset[1]["image_path"]).convert("RGB").save("example2.png")
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Image.open(dataset[0]["image_path"]).convert("RGB").save("example3.png")
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# define id2label, label2color
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# load image example
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dataset = load_dataset("darentang/generated", split="test")
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Image.open(dataset[2]["image_path"]).convert("RGB").save("example1.png")
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Image.open(dataset[1]["image_path"]).convert("RGB").save("example2.png")
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Image.open(dataset[0]["image_path"]).convert("RGB").save("example3.png")
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# define id2label, label2color
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