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Update app.py

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  1. app.py +7 -10
app.py CHANGED
@@ -369,19 +369,16 @@ with gr.Blocks(css=css_tech_theme) as demo:
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  with gr.TabItem("๐Ÿ“– Overview"):
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  gr.Markdown("""
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  <div class="tabs">
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- <h2>About the Competition</h2>
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- <p>
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- The <strong>Mobile-MMLU Benchmark Competition</strong> is a premier challenge designed to evaluate and advance mobile-optimized Large Language Models (LLMs). It provides an unparalleled opportunity to showcase your model's ability to handle diverse, real-world scenarios while pushing the boundaries of mobile intelligence.</p>
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- <p>
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- With a dataset spanning <strong>80 distinct fields</strong> and featuring <strong>16,186 questions</strong>, this competition emphasizes practical application. From education and healthcare to technology and daily life, the questions are crafted to mimic real-world challenges and test the adaptability, accuracy, and efficiency of mobile-compatible LLMs.</p>
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- <h3>Why Compete?</h3>
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- <p>Participating in this competition allows you to:
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- <ul>
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  <li>๐ŸŒŸ Showcase your expertise in LLM development and optimization for mobile platforms.</li>
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  <li>๐Ÿš€ Benchmark your modelโ€™s performance against others in a highly competitive environment.</li>
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  <li>๐Ÿ“ˆ Contribute to advancements in AI for mobile technology, shaping the future of user-centric AI systems.</li>
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- </ul>
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- </p>
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  <h3>How It Works</h3>
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  <ul>
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  <li>1๏ธโƒฃ <strong>Download the Dataset:</strong> Access the dataset and instructions on our
 
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  with gr.TabItem("๐Ÿ“– Overview"):
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  gr.Markdown("""
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  <div class="tabs">
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+ <h2>About the Competition</h2>
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+ <p>The <strong>Mobile-MMLU Benchmark Competition</strong> is a premier challenge designed to evaluate and advance mobile-optimized Large Language Models (LLMs). It provides an unparalleled opportunity to showcase your model's ability to handle diverse, real-world scenarios while pushing the boundaries of mobile intelligence.</p>
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+ <p>With a dataset spanning <strong>80 distinct fields</strong> and featuring <strong>16,186 questions</strong>, this competition emphasizes practical application. From education and healthcare to technology and daily life, the questions are crafted to mimic real-world challenges and test the adaptability, accuracy, and efficiency of mobile-compatible LLMs.</p>
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+ <h3>Why Compete?</h3>
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+ <p>Participating in this competition allows you to:
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+ <ul>
 
 
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  <li>๐ŸŒŸ Showcase your expertise in LLM development and optimization for mobile platforms.</li>
379
  <li>๐Ÿš€ Benchmark your modelโ€™s performance against others in a highly competitive environment.</li>
380
  <li>๐Ÿ“ˆ Contribute to advancements in AI for mobile technology, shaping the future of user-centric AI systems.</li>
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+ </ul></p>
 
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  <h3>How It Works</h3>
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  <ul>
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  <li>1๏ธโƒฃ <strong>Download the Dataset:</strong> Access the dataset and instructions on our