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import gradio as gr
from PIL import Image, ImageChops
import img2pdf
import io

# --- 核心逻辑 (复用之前的代码) ---
def trim_whitespace(im, fuzz_level=20):
    bg = Image.new(im.mode, im.size, (255, 255, 255))
    diff = ImageChops.difference(im, bg)
    diff = ImageChops.add(diff, diff, 1, -fuzz_level)
    bbox = diff.getbbox()
    if bbox:
        return im.crop(bbox)
    return im

def process_pipeline(files, quality, fuzz_level, progress=gr.Progress()):
    if not files: return None
    pdf_components = []
    for filepath in progress.tqdm(files, desc="处理中"):
        try:
            with Image.open(filepath) as img:
                if img.mode in ('RGBA', 'LA') or (img.mode == 'P' and 'transparency' in img.info):
                    bg = Image.new('RGB', img.size, (255, 255, 255))
                    if img.mode!= 'RGBA': img = img.convert('RGBA')
                    bg.paste(img, mask=img.split()[3])
                    img = bg
                else:
                    img = img.convert('RGB')
                
                trimmed = trim_whitespace(img, fuzz_level)
                byte_arr = io.BytesIO()
                trimmed.save(byte_arr, format='JPEG', quality=int(quality))
                pdf_components.append(byte_arr.getvalue())
        except Exception: continue

    if not pdf_components: return None
    output_filename = "output_document.pdf"
    with open(output_filename, "wb") as f:
        f.write(img2pdf.convert(pdf_components))
    return output_filename

# --- 模块化 UI 接口 ---
def create_ui():
    """

    每个工具模块都需要暴露这个函数。

    注意:不要在这里创建 gr.Blocks(),直接写 Row/Column 即可,

    因为它们会被嵌入到主程序的 Tab 中。

    """
    with gr.Row():
        with gr.Column():
            file_input = gr.File(file_count="multiple", file_types=["image"], label="上传图片")
            quality = gr.Slider(10, 100, 90, label="质量")
            fuzz = gr.Slider(0, 100, 30, label="容差")
            btn = gr.Button("开始处理", variant="primary")
        with gr.Column():
            output = gr.File(label="下载 PDF")
            
    btn.click(process_pipeline, [file_input, quality, fuzz], output)