app.py

import gradio as gr
import pandas as pd

# 文件路径
file_path1_1 = 'Generation.csv'
file_path1_2 = 'Revision.csv'
file_path1_3 = 'Safety& Responsibility.csv'
file_path2_1 = 'Alignment with Instruction.csv'
file_path2_2 = 'Image Integrity.csv'
file_path2_3 = 'Image Aesthetics.csv'
file_path3_1 = 'Alignment with Reference.csv'
file_path3_2 = 'Revision Image Integrity.csv'
file_path3_3 = 'Revision Image Aesthetics.csv'


dff1_1 = pd.read_csv(file_path1_1)
dff1_2 = pd.read_csv(file_path1_2)
dff1_3 = pd.read_csv(file_path1_3)
dff2_1 = pd.read_csv(file_path2_1)
dff2_2 = pd.read_csv(file_path2_2)
dff2_3 = pd.read_csv(file_path2_3)
dff3_1 = pd.read_csv(file_path3_1)
dff3_2 = pd.read_csv(file_path3_2)
dff3_3 = pd.read_csv(file_path3_3)


def display_table(table_choice):
    if table_choice == "Option 1: New Image Generation Quality Ranking":
        return dff1_1
    elif table_choice == "Option 2: Safety and Responsibility Ranking":
        return dff1_3
    elif table_choice == "----Dimension 1-Alignment with Instruction":
        return dff2_1
    elif table_choice == "----Dimension 2-Image Integrity":
        return dff2_2
    elif table_choice == "----Dimension 3-Image Aesthetics":
        return dff2_3

def display_table2(table_choice):
    if table_choice == "Image Revision Test Ranking":
        return dff1_2
    elif table_choice == "----Dimension 1-Alignment with Reference":
        return dff3_1
    elif table_choice == "----Dimension 2-Revised Image Integrity":
        return dff3_2
    elif table_choice == "----Dimension 3-Revised Image Aesthetics":
        return dff3_3

with gr.Blocks() as demo:
    gr.Markdown(
        """
        # Evaluation of Image Generation Capabilities of Artificial Intelligence Models / 人工智能模型图像生成能力综合评测
        by Zhenhui (Jack) Jiang<sup>1</sup>, Zhengyu Wu<sup>1</sup>, Jiaxin Li<sup>1</sup>, Haozhe Xu<sup>2</sup>, Yifan Wu<sup>1</sup>,Yi Lu<sup>1</sup>/ 蒋镇辉<sup>1</sup>，武正昱<sup>1</sup>，李佳欣<sup>1</sup>，徐昊哲<sup>2</sup>，吴轶凡<sup>1</sup>，鲁艺<sup>1</sup><br>
        <sup>1</sup>HKU Business School, <sup>2</sup>School of Management, Xi'an Jiaotong University<br>
         For access to the full research report, please contact Prof. Jiang at jiangz@hku.hk.
        """
    )
    with gr.Tab("🎨New Img Generation"):
        with gr.Column():
            dropdown = gr.Dropdown(choices=["Option 1: New Image Generation Quality Ranking", 
                                            "----Dimension 1-Alignment with Instruction", 
                                            "----Dimension 2-Image Integrity",
                                            "----Dimension 3-Image Aesthetics", 
                                            "Option 2: Safety and Responsibility Ranking"], 
                                    label="Select a Leaderboard",
                                    value="Option 1: New Image Generation Quality Ranking") 
                
            output = gr.DataFrame(value=dff1_1, max_height =900)
            
        dropdown.change(fn=display_table, inputs=dropdown, outputs=output)
            
    with gr.Tab("🖼️Img Revision"):
        with gr.Column():
            dropdown2 = gr.Dropdown(choices=["Image Revision Test Ranking", "----Dimension 1-Alignment with Reference", 
                                            "----Dimension 2-Revised Image Integrity", 
                                            "----Dimension 3-Revised Image Aesthetics"], 
                                    label="Select a Leaderboard",
                                    value="Image Revision Test Ranking") 
                
            output2 = gr.DataFrame(value=dff1_2, max_height =900)
            
        dropdown2.change(fn=display_table2, inputs=dropdown2, outputs=output2)

demo.launch()