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app.py
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import gradio as gr
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from transformers import pipeline
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# Load the jailbreak classifcation model
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task = "text-classification"
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pretrained_model = "jackhhao/jailbreak-classifier"
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classifier = pipeline(task, model=pretrained_model)
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#Define the prediction function
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def classify_text(text):
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result = classifier(text)
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label = result[0]['label']
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score = result[0]['score']
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return f"Label: {label}, Confidence: {score:.4f}"
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#Create the interface
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iface = gr.Interface(
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fn = classify_text,
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inputs = gr.Textbox(lines=5, label="Enter a text"),
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outputs = "text",
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title = "Jailbreak Classification",
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description = "A simple interface to classify text as jailbreak or not jailbreak"
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)
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# Launch the app
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if __name__ == "__main__":
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iface.launch()
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