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app.py
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@@ -47,6 +47,10 @@ with gr.Blocks() as demo:
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correlations with specific metrics and provides insights into biases and robustness against different LLM outputs. \
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BUST is designed as a dynamic resource, continuously updated to stay relevant in the rapidly evolving field of \
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LLM-generated content detection.</center>
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""")
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gr.DataFrame(styler, line_breaks=True, datatype="markdown")
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correlations with specific metrics and provides insights into biases and robustness against different LLM outputs. \
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BUST is designed as a dynamic resource, continuously updated to stay relevant in the rapidly evolving field of \
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LLM-generated content detection.</center>
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<p> </p>
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<p> </p>
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<p> </p>
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<p> </p>
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""")
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gr.DataFrame(styler, line_breaks=True, datatype="markdown")
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