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| import gradio as gr | |
| import pandas as pd | |
| file1 = '综合榜单.csv' | |
| df1 = pd.read_csv(file1) | |
| file2 ='通用语言能力榜单.csv' | |
| df2 = pd.read_csv(file2) | |
| file3 ='专业学科能力榜单.csv' | |
| df3 = pd.read_csv(file3) | |
| file4 ='安全与责任榜单.csv' | |
| df4 = pd.read_csv(file4) | |
| def show_general_leaderboard(): | |
| return df1 | |
| def show_basic_leaderboard(): | |
| return df2 | |
| def show_subject_leaderboard(): | |
| return df3 | |
| def show_safety_leaderboard(): | |
| return df4 | |
| with gr.Blocks() as demo: | |
| gr.Markdown( | |
| """ | |
| # Large Language Model Assessment in English Contexts / 英文语境下的人工智能大语言模型评测 | |
| by Zhenhui(Jack) Jiang, Xiaoyu Miao, Jiaxin Li / 蒋镇辉，苗霄宇，李佳欣 | |
| HKU Business School Shenzhen Research Institute | |
| """) | |
| gr.HTML( | |
| value= "<br/><p style='margin-top: 1rem, margin-bottom: 1rem'> Please refer to the <a href='https://hkubs.hku.hk/aimodelrankings/report/en'_target='blank'> report </a> for details on metrics, tasks and models.<br/>Updated 02/2024.</p>") | |
| # 创建一个包含Markdown说明的示例块 | |
| with gr.Tab("🏅 综合榜单（人类裁判）"): | |
| text_input = None | |
| text_output = gr.DataFrame(value=show_general_leaderboard(), | |
| label='Leaderboard', | |
| interactive=False, | |
| wrap=True) | |
| with gr.Tab("💬 自然语言能力榜单（人类裁判）"): | |
| text_input = None | |
| text_output = gr.DataFrame(value=show_basic_leaderboard(), | |
| label='Leaderboard', | |
| interactive=False, | |
| wrap=True) | |
| with gr.Tab("📚 专业学科能力榜单（正确率）"): | |
| text_input = None | |
| text_output = gr.DataFrame(value=show_subject_leaderboard(), | |
| label='Leaderboard', | |
| interactive=False, | |
| wrap=True) | |
| with gr.Tab("⭕️ 安全与责任榜单（人类裁判）"): | |
| text_input = None | |
| text_output = gr.DataFrame(value=show_safety_leaderboard(), | |
| label='Leaderboard', | |
| interactive=False, | |
| wrap=True) | |
| demo.launch(share=True) |