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app.py.txt
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from transformers import pipeline
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import gradio as gr
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# Load the model
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clf = pipeline("text-classification", model="MayZhou/e5-small-lora-ai-generated-detector")
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# Define detection function
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def detect_ai(text):
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result = clf(text)[0]
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label = result['label']
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score = round(result['score'] * 100, 2)
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return f"{label} ({score}%)"
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# Build the interface
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demo = gr.Interface(
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fn=detect_ai,
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inputs="textbox",
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outputs="text",
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title="AI Text Detector"
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)
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# Launch the app
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demo.launch()
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