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Update app.py
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app.py
CHANGED
@@ -13,7 +13,8 @@ torch.set_float32_matmul_precision("high")
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birefnet = AutoModelForImageSegmentation.from_pretrained(
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"ZhengPeng7/BiRefNet", trust_remote_code=True
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)
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-
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# Image transformation
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transform_image = transforms.Compose([
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birefnet = AutoModelForImageSegmentation.from_pretrained(
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"ZhengPeng7/BiRefNet", trust_remote_code=True
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)
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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birefnet.to(device)
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# Image transformation
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transform_image = transforms.Compose([
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