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44 lines
1007 B
Python
44 lines
1007 B
Python
import gradio as gr
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data = [
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["DeepSeek Coder", 79.3],
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["Llama 3.3", 68.9],
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["Qwen 2.5", 61.9],
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["Gemma 2", 59.5],
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["GPT 2", 18.3],
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]
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headers = ["Model", "% Correct (LeetCode Hard)"]
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def get_styling(values):
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return [["", f"background: linear-gradient(90deg, rgba(220, 242, 220) {row[1]}%, transparent {row[1]}%)"] for row in values]
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def get_display_value(values):
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display_values = []
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medals = ["🥇", "🥈", "🥉"]
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for i, row in enumerate(values):
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if i < 3:
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display_values.append([f"{medals[i]} {row[0]}", row[1]])
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else:
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display_values.append([row[0], row[1]])
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return display_values
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styling = get_styling(data)
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display_value = get_display_value(data)
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value = {
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"data": data,
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"headers": headers,
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"metadata": {
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"styling": styling,
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"display_value": display_value,
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},
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}
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with gr.Blocks() as demo:
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gr.Dataframe(value, show_search="search")
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if __name__ == "__main__":
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demo.launch()
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