app.py

import os
import gradio as gr
from ccip import _VALID_MODEL_NAMES, _DEFAULT_MODEL_NAMES, ccip_difference, ccip_default_threshold
from datasets import load_dataset
import pathlib

# 加载数据集
Genshin_Impact_Illustration_ds = load_dataset("svjack/Genshin-Impact-Illustration")["train"]
ds_size = len(Genshin_Impact_Illustration_ds)
name_image_dict = {}
for i in range(ds_size):
    row_dict = Genshin_Impact_Illustration_ds[i]
    name_image_dict[row_dict["name"]] = row_dict["image"]

# 从数据集中选择一些图片作为示例
#example_images = list(name_image_dict.values())[:5]  # 选择前5张图片作为示例
example_images = list(map(str ,list(pathlib.Path(".").rglob("*.png"))))

def _compare_with_dataset(imagex, model_name):
    threshold = ccip_default_threshold(model_name)
    results = []
    
    for name, imagey in name_image_dict.items():
        diff = ccip_difference(imagex, imagey)
        result = (diff, 'Same' if diff <= threshold else 'Not Same', name)
        results.append(result)
    
    # 按照 diff 值进行排序
    results.sort(key=lambda x: x[0])
    
    return results

if __name__ == '__main__':
    with gr.Blocks() as demo:
        with gr.Row():
            with gr.Column():
                # 添加示例图片
                gr_input_x = gr.Image(type='pil', label='Upload Image')
                gr_model_name = gr.Dropdown(_VALID_MODEL_NAMES, value=_DEFAULT_MODEL_NAMES, label='Model')
                gr_button = gr.Button(value='Compare with Dataset', variant='primary')

                gr.Examples(
                    examples=example_images,  # 示例数据
                    inputs=[gr_input_x],  # 示例数据对应的输入组件
                    label="Click on an example to load it into the input."
                )

            with gr.Column():
                gr_results = gr.Dataframe(headers=["Difference", "Prediction", "Name"], label='Comparison Results')

            gr_button.click(
                _compare_with_dataset,
                inputs=[gr_input_x, gr_model_name],
                outputs=gr_results,
            )

    demo.queue(os.cpu_count()).launch(share=True)