kopia lustrzana https://github.com/thinkst/zippy
Added a link to blog and code to the web-based version
Signed-off-by: Jacob Torrey <jacob@thinkst.com>pull/6/head
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<html>
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<head>
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<title>LLM text detector</title>
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<title>ZipPy AI-LLM text detector</title>
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<script src="./LZMA-JS/src/lzma_worker.js" type="application/javascript"></script>
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</head>
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<body onload="">
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<div style="text-align: center; font-family: Arial, Helvetica, sans-serif;">
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<h1>LZMA-based LLM text classifier</h1>
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<h1>ZipPy: An LZMA-based LLM text classifier</h1>
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<textarea id="text_input" placeholder="Put text to classify in here..." style="width: 75%; height: 25%;"></textarea><br /><br />
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<input type="text" id="preset_value" size="1" disabled hidden/><button onclick="time_do_detect();" id="processbtn">Click here to classify!</button><br /><br />
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<span id="output_span">The results will appear here!</span><br /><br />
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}
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</script>
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<script src="./src/nlzmadetect.js" type="application/javascript"></script>
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<div id="footer" style="text-align: center; font-family: Arial, Helvetica, sans-serif;">
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<p style="font-size: larger;">Curious how this works? Check out the <a href="https://blog.thinkst.com/2023/06/meet-zippy-a-fast-ai-llm-text-detector.html">blog post</a>, or go look at <a href="https://github.com/thinkst/zippy">the code!</a></p>
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<p style="font-size: smaller;">Created with 💚 by <a href="https://www.thinkst.com">Thinkst Applied Research</a></p>
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</div>
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</body>
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</html>
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