Update app.py
Browse files
app.py
CHANGED
@@ -499,8 +499,8 @@ with gr.Blocks(css=css_tech_theme) as demo:
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with gr.Tabs(elem_id="tabs"):
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# Overview Tab
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with gr.TabItem("π Overview"):
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gr.Markdown("""
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<h2 style="color: #6a1b9a; text-align: center;">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). This competition is an excellent opportunity to showcase your model's ability to handle real-world scenarios and excel in mobile intelligence.</p>
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<p>With a dataset spanning <strong>80 distinct fields</strong> and featuring <strong>16,186 questions</strong>, the competition emphasizes practical applications, from education and healthcare to technology and daily life.</p>
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@@ -539,8 +539,8 @@ with gr.Blocks(css=css_tech_theme) as demo:
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<li>π <a href="https://github.com/your-dataset-link" target="_blank">Dataset Link</a>: Direct access to the competition dataset.</li>
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<li>β <a href="https://github.com/your-github-repo/issues" target="_blank">Support Page</a>: Use this for queries or issues during participation.</li>
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</ul>
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with gr.TabItem("π€ Submission"):
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gr.Markdown("""
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@@ -550,11 +550,11 @@ with gr.Blocks(css=css_tech_theme) as demo:
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</div>
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""")
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with gr.Row(elem_id="submission-fields"):
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file_input = gr.File(label="Upload Prediction CSV", file_types=[".csv"], interactive=True)
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model_name_input = gr.Textbox(label="Model Name", placeholder="Enter your model name")
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with gr.Row(elem_id="submission-results"):
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overall_accuracy_display = gr.Number(label="Overall Accuracy", interactive=False)
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with gr.Row(elem_id="submission-buttons"):
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eval_button = gr.Button("Evaluate")
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with gr.Tabs(elem_id="tabs"):
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# Overview Tab
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with gr.TabItem("π Overview"):
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gr.Markdown( """
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<div class="tabs">
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<h2 style="color: #6a1b9a; text-align: center;">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). This competition is an excellent opportunity to showcase your model's ability to handle real-world scenarios and excel in mobile intelligence.</p>
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<p>With a dataset spanning <strong>80 distinct fields</strong> and featuring <strong>16,186 questions</strong>, the competition emphasizes practical applications, from education and healthcare to technology and daily life.</p>
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<li>π <a href="https://github.com/your-dataset-link" target="_blank">Dataset Link</a>: Direct access to the competition dataset.</li>
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<li>β <a href="https://github.com/your-github-repo/issues" target="_blank">Support Page</a>: Use this for queries or issues during participation.</li>
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</ul>
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</div>
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""")
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with gr.TabItem("π€ Submission"):
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gr.Markdown("""
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</div>
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""")
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with gr.Row(elem_id="submission-fields"):
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file_input = gr.File(label="Upload Prediction CSV", file_types=[".csv"], interactive=True,scale=1, min_width=800)
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model_name_input = gr.Textbox(label="Model Name", placeholder="Enter your model name",scale=1, min_width=800)
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with gr.Row(elem_id="submission-results"):
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overall_accuracy_display = gr.Number(label="Overall Accuracy", interactive=False,scale=1, min_width=800)
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with gr.Row(elem_id="submission-buttons"):
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eval_button = gr.Button("Evaluate")
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