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Update app.py
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app.py
CHANGED
@@ -44,10 +44,12 @@ RULES = """<h1>OSV-5M (plonk)</h1>
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<h3> Click "Select" to finalize your selection and then "Next" to move to the next image.</h3>
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<h2> AI Competitors </h2>
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<h3> You will compete against two AIs: Plonk-AI (our best model) and Baseline-AI (a simpler approach)
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<h2> Geoscore </h2>
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<h3> The geoscore is calculated based on how close each guess is to the true location as in Geoguessr, with a maximum of 5000 points
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"""
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css = """
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@font-face {
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@@ -80,6 +82,12 @@ h3 {
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space_js = """
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<script src="https://cdn.jsdelivr.net/npm/@rapideditor/[email protected]/dist/country-coder.iife.min.js"></script>
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<script>
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function shortcuts(e) {
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var event = document.all ? window.event : e;
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<h3> Click "Select" to finalize your selection and then "Next" to move to the next image.</h3>
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<h2> AI Competitors </h2>
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<h3> You will compete against two AIs: Plonk-AI (our best model) and Baseline-AI (a simpler approach).</h3>
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<h3> These AIs have not been trained on any of the images you will see; in fact, they haven't seen anything within a 1km radius of them.</h3>
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<h3> Like you, the AIs will need to pick up on geographic clues to pinpoint the locations of the images.</h3>
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<h2> Geoscore </h2>
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<h3> The geoscore is calculated based on how close each guess is to the true location as in Geoguessr, with a maximum of 5000 points. We use the formula $g(d) = 5000 \\exp(\\frac{-d}/{1492.7})$ </h3>
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"""
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css = """
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@font-face {
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space_js = """
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<script src="https://cdn.jsdelivr.net/npm/@rapideditor/[email protected]/dist/country-coder.iife.min.js"></script>
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<script type="text/x-mathjax-config">
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MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\(','\\)']]}});
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</script>
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<script type="text/javascript"
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src="http://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
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</script>
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<script>
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function shortcuts(e) {
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var event = document.all ? window.event : e;
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