app.py

import gradio as gr
import pandas as pd

file1 = 'hallucination.csv'
df1 = pd.read_csv(file1)

def show_hallucination_leaderboard():
    return df1



with gr.Blocks() as demo:
    gr.Markdown(
            """
            # Ranking of Large Language Models' Hallucination Control Ability in Chinese-language Contexts / 大语言模型幻觉控制能力排行榜
            by Zhenhui(Jack) Jiang<sup>1</sup>, Yi Lu<sup>1</sup>, Yifan Wu<sup>1</sup>, Haozhe Xu<sup>2</sup>, Zhengyu Wu<sup>1</sup>, Jiaxin Li<sup>1</sup> / 蒋镇辉<sup>1</sup>，鲁艺<sup>1</sup>，吴轶凡<sup>1</sup>，徐昊哲<sup>2</sup>，武正昱<sup>1</sup>，李佳欣<sup>1</sup>
            <br><sup>1</sup>香港大学经管学院，<sup>2</sup>西安交通大学管理学院  
            """)


    with gr.Tab("🏅 模型幻觉控制能力排行榜"):
        text_input = None
        text_output = gr.DataFrame(value=show_hallucination_leaderboard(),
                         label='Leaderboard',
                         interactive=False,
                         wrap=True)

demo.launch(share=True)