# Copyright (c) Opendatalab. All rights reserved. import base64 import os import time import zipfile from pathlib import Path import re os.system('pip install -r requirements.txt') os.system('python -m pip install paddlepaddle-gpu==3.0.0b1 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/') from huggingface_hub import snapshot_download model_dir = snapshot_download('opendatalab/PDF-Extract-Kit') os.system('wget https://github.com/opendatalab/MinerU/raw/master/magic-pdf.template.json') os.system('cp magic-pdf.template.json /root/magic-pdf.json') os.system(f"sed -i 's|/tmp/models|{model_dir}/models|g' /root/magic-pdf.json") # os.system("sed -i 's|cpu|cuda|g' /root/magic-pdf.json") import gradio as gr from loguru import logger from magic_pdf.libs.hash_utils import compute_sha256 from magic_pdf.rw.AbsReaderWriter import AbsReaderWriter from magic_pdf.rw.DiskReaderWriter import DiskReaderWriter from magic_pdf.tools.common import do_parse, prepare_env def read_fn(path): disk_rw = DiskReaderWriter(os.path.dirname(path)) return disk_rw.read(os.path.basename(path), AbsReaderWriter.MODE_BIN) def parse_pdf(doc_path, output_dir, end_page_id): os.makedirs(output_dir, exist_ok=True) try: file_name = f"{str(Path(doc_path).stem)}_{time.time()}" pdf_data = read_fn(doc_path) parse_method = "auto" local_image_dir, local_md_dir = prepare_env(output_dir, file_name, parse_method) do_parse( output_dir, file_name, pdf_data, [], parse_method, False, end_page_id=end_page_id, ) return local_md_dir, file_name except Exception as e: logger.exception(e) def compress_directory_to_zip(directory_path, output_zip_path): """ 压缩指定目录到一个 ZIP 文件。 :param directory_path: 要压缩的目录路径 :param output_zip_path: 输出的 ZIP 文件路径 """ try: with zipfile.ZipFile(output_zip_path, 'w', zipfile.ZIP_DEFLATED) as zipf: # 遍历目录中的所有文件和子目录 for root, dirs, files in os.walk(directory_path): for file in files: # 构建完整的文件路径 file_path = os.path.join(root, file) # 计算相对路径 arcname = os.path.relpath(file_path, directory_path) # 添加文件到 ZIP 文件 zipf.write(file_path, arcname) return 0 except Exception as e: logger.exception(e) return -1 def image_to_base64(image_path): with open(image_path, "rb") as image_file: return base64.b64encode(image_file.read()).decode('utf-8') def replace_image_with_base64(markdown_text, image_dir_path): # 匹配Markdown中的图片标签 pattern = r'\!\[(?:[^\]]*)\]\(([^)]+)\)' # 替换图片链接 def replace(match): relative_path = match.group(1) full_path = os.path.join(image_dir_path, relative_path) base64_image = image_to_base64(full_path) return f"![{relative_path}](data:image/jpeg;base64,{base64_image})" # 应用替换 return re.sub(pattern, replace, markdown_text) def to_markdown(file_path, end_pages): # 获取识别的md文件以及压缩包文件路径 local_md_dir, file_name = parse_pdf(file_path, './output', end_pages - 1) archive_zip_path = os.path.join("./output", compute_sha256(local_md_dir) + ".zip") zip_archive_success = compress_directory_to_zip(local_md_dir, archive_zip_path) if zip_archive_success == 0: logger.info("压缩成功") else: logger.error("压缩失败") md_path = os.path.join(local_md_dir, file_name + ".md") with open(md_path, 'r', encoding='utf-8') as f: txt_content = f.read() md_content = replace_image_with_base64(txt_content, local_md_dir) # 返回转换后的PDF路径 new_pdf_path = os.path.join(local_md_dir, file_name + "_layout.pdf") return md_content, txt_content, archive_zip_path, show_pdf(new_pdf_path) def show_pdf(file_path): with open(file_path, "rb") as f: base64_pdf = base64.b64encode(f.read()).decode('utf-8') pdf_display = f'' return pdf_display latex_delimiters = [{"left": "$$", "right": "$$", "display": True}, {"left": '$', "right": '$', "display": False}] if __name__ == "__main__": with gr.Blocks() as demo: with gr.Row(): with gr.Column(variant='panel', scale=5): file = gr.File(label="Please upload pdf", file_types=[".pdf"]) max_pages = gr.Slider(1, 10, 5, step=1, label="Max convert pages") with gr.Row() as bu_flow: change_bu = gr.Button("Convert") clear_bu = gr.ClearButton([file, max_pages], value="Clear") gr.Markdown(value="### PDF preview") pdf_show = gr.HTML(label="PDF preview") with gr.Column(variant='panel', scale=5): output_file = gr.File(label="convert result", interactive=False) with gr.Tabs(): with gr.Tab("Markdown rendering"): md = gr.Markdown(label="Markdown rendering", height=1100, show_copy_button=True, latex_delimiters=latex_delimiters, line_breaks=True) with gr.Tab("Markdown text"): md_text = gr.TextArea(lines=55, show_copy_button=True) file.upload(fn=show_pdf, inputs=file, outputs=pdf_show) change_bu.click(fn=to_markdown, inputs=[file, max_pages], outputs=[md, md_text, output_file, pdf_show]) clear_bu.add([md, pdf_show, md_text, output_file]) demo.launch()