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Update app.py
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app.py
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@@ -5,7 +5,6 @@ import torch
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# Initialize the image-to-text pipeline and models
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def load_models():
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# Make sure to use the correct model names and tokenizer
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image_pipeline = pipeline("image-to-text", model="microsoft/trocr-large-printed")
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phishing_model = AutoModelForSequenceClassification.from_pretrained("kithangw/phishing_link_detection1", num_labels=2)
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phishing_tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
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# Initialize the image-to-text pipeline and models
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def load_models():
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image_pipeline = pipeline("image-to-text", model="microsoft/trocr-large-printed")
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phishing_model = AutoModelForSequenceClassification.from_pretrained("kithangw/phishing_link_detection1", num_labels=2)
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phishing_tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
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