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Update app.py
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app.py
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import gradio as gr
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import gradio as gr
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from transformers import BertTokenizer, BertForSequenceClassification
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from transformers import pipeline
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urlbert = BertForSequenceClassification.from_pretrained('elftsdmr/malware-url-detect',num_labels=2)
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tokenizer = BertTokenizer.from_pretrained('elftsdmr/malware-url-detect')
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url_classifier = pipeline("text-classification", model=urlbert, tokenizer=tokenizer)
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def text_to_url(text):
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return url_classifier(text)[0]["label"]
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demo = gr.Blocks(theme=gr.themes.Soft())
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with demo:
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text = gr.Textbox()
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label = gr.Label()
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b2 = gr.Button("Classify URL")
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b2.click(text_to_url, inputs=text, outputs=label)
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if __name__ == "__main__":
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demo.launch(share=True)
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