app.py

import gradio as gr
import pandas as pd
from constants import *

# ... 其他导入 ...

# 定义自定义 CSS
custom_css = """
h1  { /* 根据需要选择正确的标题标签 */
    background-color: blue; /* 蓝色背景 */
    color: white; /* 白色文字 */
    padding: 10px; /* 内边距 */
    text-align: center; /* 文本居中 */
}
h2  { /* 根据需要选择正确的标题标签 */
    color: white; /* 白色文字 */
    padding: 10px; /* 内边距 */
    text-align: center; /* 文本居中 */
}

"""

def get_preview_data():
    df = pd.read_json(DATA_DIR)
    df=df.head(4)
    return df
def get_result_data():
    df={
    "DataSet": ["WikiData_recent", "WikiData_recent", "WikiData_recent", "WikiData_recent",
                "ZsRE", "ZsRE", "ZsRE", "ZsRE",
                "WikiBio", "WikiBio", "WikiBio",
                "WikiData_counterfact", "WikiData_counterfact", "WikiData_counterfact", "WikiData_counterfact",
                "ConvSent", "ConvSent", "ConvSent",
                "Sanitation", "Sanitation", "Sanitation"],
    "Metric": ["Edit Succ. ↑", "Portability ↑", "Locality ↑", "Fluency ↑",
               "Edit Succ. ↑", "Portability ↑", "Locality ↑", "Fluency ↑",
               "Edit Succ. ↑", "Locality ↑", "Fluency ↑",
               "Edit Succ. ↑", "Portability ↑", "Locality ↑", "Fluency ↑",
               "Edit Succ. ↑", "Locality ↓", "Fluency ↑",
               "Edit Succ. ↑", "Locality ↑", "Fluency ↑"],
    "SERAC": [98.68, 63.52, 100.00, 553.19,
              99.67, 56.48, 30.23, 410.89,
              99.69, 69.79, 606.95,
              99.99, 76.07, 98.96, 549.91,
              62.75, 0.26, 458.21,
              0.00, 100.00, 416.29],
    "ICE": [60.74, 36.93, 33.34, 531.01,
            66.01, 63.94, 23.14, 541.14,
            95.53, 47.90, 632.92,
            69.83, 45.32, 32.38, 547.22,
            52.78, 49.73, 621.45,
            72.50, 56.58, 794.15],
    "AdaLoRA": [65.61, 47.22, 55.78, 537.51,
                69.86, 52.95, 72.21, 532.82,
                97.02, 57.87, 615.86,
                72.14, 55.17, 66.78, 553.85,
                44.89, 0.18, 606.42,
                2.50, 65.50, 330.44],
    "MEND": [76.88, 50.11, 92.87, 586.34,
             96.74, 60.41, 92.79, 524.33,
             93.66, 69.51, 609.39,
             78.82, 57.53, 94.16, 588.94,
             50.76, 3.42, 379.43,
             0.00, 5.29, 407.18],
    "ROME": [85.08, 37.45, 66.2, 574.28,
             96.57, 52.20, 27.14, 570.47,
             95.05, 46.96, 617.25,
             83.21, 38.69, 65.4, 578.84,
             45.79, 0.00, 606.32,
             85.00, 50.31, 465.12],
    "MEMIT": [85.32, 37.94, 64.78, 566.66,
              83.07, 51.43, 25.46, 559.72,
              94.29, 51.56, 616.65,
              83.41, 40.09, 63.68, 568.58,
              44.75, 0.00, 602.62,
              48.75, 67.47, 466.10],
    "FT-L": [71.18, 48.71, 63.7, 549.35,
             54.65, 45.02, 71.12, 474.18,
             83.41, 40.09, 63.68, 568.58,
             66.27, 60.14, 604.00,
             51.12, 39.07, 62.51,
             48.75, 67.47, 466.10]
    }
    df=pd.DataFrame(df)
    return df

block = gr.Blocks(css=custom_css)  # 应用自定义 CSS

with block:
    gr.Markdown(TITLE)
    
    gr.Markdown("## BACKGROUND")
    gr.Markdown(
        BACKGROUND
    )
    gr.Image('./img/demo.gif')
            
    gr.Markdown("## DATA PREVIEW")
    gr.Markdown(LEADERBORAD_INTRODUCTION)

    with gr.Tabs(elem_classes="tab-buttons") as tabs:
        with gr.TabItem("🏅 Data preview ", elem_id="ke-benchmark-tab-table", id=0):
            # 创建数据帧组件
            ke_data_component = gr.components.Dataframe(
                value=get_preview_data(), 
                headers=DATA_COLUMN_NAMES,
                type="pandas", 
            )
        with gr.TabItem("data Structure", elem_id="about-struct-tab-table", id=3):
            gr.Markdown(DATA_STRUCT, elem_classes="markdown-text")
            
        with gr.TabItem("📝 data schema", elem_id="about-benchmark-tab-table", id=4):
            gr.Markdown(DATA_SCHEMA, elem_classes="markdown-text")
       
       
       
        
    gr.Markdown("## EXPERIMENT RESULTS")
    gr.Markdown("We list the results of current knowledge editing methods on Llama2-7b-chat in Table")
    with gr.Tabs(elem_classes="tab-buttons") as tabs:
        with gr.TabItem("🏅 result", elem_id="ke-benchmark-tab-table", id=0):
            # 创建数据帧组件
            ke_data_component = gr.components.Dataframe(
                value=get_result_data(), 
                headers=RESULT_COLUMN_NAMES,
                type="pandas", 
            )
        # About tab
        with gr.TabItem("📝 About", elem_id="about-benchmark-tab-table", id=4):
            gr.Markdown("Results of existing knowledge edit methods on the constructed benchmark. The symbol indicates that higher numbers correspond to better performance, while ↓ denotes the opposite, with lower numbers indicating better performance. For WikiBio and Convsent, we do not test the portability as they are about specific topics. ", elem_classes="markdown-text")
            
    with gr.Row():
        with gr.Accordion("Citation", open=False):
            citation_button = gr.Textbox(
                value=CITATION_BUTTON_TEXT,
                label=CITATION_BUTTON_LABEL,
                elem_id="citation-button",
            ).style(show_copy_button=True)       

block.launch(share=True)