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