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+# Copyright (c) Opendatalab. All rights reserved.
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+
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+import base64
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+import os
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+import time
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+import zipfile
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+from pathlib import Path
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+import re
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+
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+from loguru import logger
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+
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+from magic_pdf.libs.hash_utils import compute_sha256
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+from magic_pdf.rw.AbsReaderWriter import AbsReaderWriter
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+from magic_pdf.rw.DiskReaderWriter import DiskReaderWriter
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+from magic_pdf.tools.common import do_parse, prepare_env
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+
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+import gradio as gr
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+from gradio_pdf import PDF
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+
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+
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+def read_fn(path):
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+ disk_rw = DiskReaderWriter(os.path.dirname(path))
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+ return disk_rw.read(os.path.basename(path), AbsReaderWriter.MODE_BIN)
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+
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+
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+def parse_pdf(doc_path, output_dir, end_page_id, is_ocr):
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+ os.makedirs(output_dir, exist_ok=True)
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+
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+ try:
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+ file_name = f"{str(Path(doc_path).stem)}_{time.time()}"
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+ pdf_data = read_fn(doc_path)
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+ if is_ocr:
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+ parse_method = "ocr"
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+ else:
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+ parse_method = "auto"
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+ local_image_dir, local_md_dir = prepare_env(output_dir, file_name, parse_method)
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+ do_parse(
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+ output_dir,
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+ file_name,
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+ pdf_data,
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+ [],
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+ parse_method,
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+ False,
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+ end_page_id=end_page_id,
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+ )
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+ return local_md_dir, file_name
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+ except Exception as e:
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+ logger.exception(e)
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+
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+
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+def compress_directory_to_zip(directory_path, output_zip_path):
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+ """
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+ 压缩指定目录到一个 ZIP 文件。
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+
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+ :param directory_path: 要压缩的目录路径
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+ :param output_zip_path: 输出的 ZIP 文件路径
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+ """
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+ try:
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+ with zipfile.ZipFile(output_zip_path, 'w', zipfile.ZIP_DEFLATED) as zipf:
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+
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+ # 遍历目录中的所有文件和子目录
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+ for root, dirs, files in os.walk(directory_path):
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+ for file in files:
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+ # 构建完整的文件路径
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+ file_path = os.path.join(root, file)
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+ # 计算相对路径
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+ arcname = os.path.relpath(file_path, directory_path)
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+ # 添加文件到 ZIP 文件
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+ zipf.write(file_path, arcname)
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+ return 0
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+ except Exception as e:
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+ logger.exception(e)
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+ return -1
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+
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+
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+def image_to_base64(image_path):
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+ with open(image_path, "rb") as image_file:
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+ return base64.b64encode(image_file.read()).decode('utf-8')
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+
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+
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+def replace_image_with_base64(markdown_text, image_dir_path):
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+ # 匹配Markdown中的图片标签
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+ pattern = r'\!\[(?:[^\]]*)\]\(([^)]+)\)'
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+
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+ # 替换图片链接
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+ def replace(match):
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+ relative_path = match.group(1)
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+ full_path = os.path.join(image_dir_path, relative_path)
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+ base64_image = image_to_base64(full_path)
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+ return f""
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+
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+ # 应用替换
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+ return re.sub(pattern, replace, markdown_text)
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+
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+
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+def to_markdown(file_path, end_pages, is_ocr):
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+ # 获取识别的md文件以及压缩包文件路径
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+ local_md_dir, file_name = parse_pdf(file_path, './output', end_pages - 1, is_ocr)
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+ archive_zip_path = os.path.join("./output", compute_sha256(local_md_dir) + ".zip")
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+ zip_archive_success = compress_directory_to_zip(local_md_dir, archive_zip_path)
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+ if zip_archive_success == 0:
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+ logger.info("压缩成功")
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+ else:
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+ logger.error("压缩失败")
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+ md_path = os.path.join(local_md_dir, file_name + ".md")
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+ with open(md_path, 'r', encoding='utf-8') as f:
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+ txt_content = f.read()
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+ md_content = replace_image_with_base64(txt_content, local_md_dir)
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+ # 返回转换后的PDF路径
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+ new_pdf_path = os.path.join(local_md_dir, file_name + "_layout.pdf")
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+
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+ return md_content, txt_content, archive_zip_path, new_pdf_path
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+
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+
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+latex_delimiters = [{"left": "$$", "right": "$$", "display": True},
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+ {"left": '$', "right": '$', "display": False}]
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+
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+
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+def init_model():
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+ from magic_pdf.model.doc_analyze_by_custom_model import ModelSingleton
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+ try:
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+ model_manager = ModelSingleton()
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+ txt_model = model_manager.get_model(False, False)
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+ logger.info(f"txt_model init final")
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+ ocr_model = model_manager.get_model(True, False)
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+ logger.info(f"ocr_model init final")
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+ return 0
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+ except Exception as e:
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+ logger.exception(e)
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+ return -1
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+
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+
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+model_init = init_model()
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+logger.info(f"model_init: {model_init}")
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+
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+
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+with open("header.html", "r") as file:
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+ header = file.read()
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+
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+
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+if __name__ == "__main__":
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+ with gr.Blocks() as demo:
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+ gr.HTML(header)
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+ with gr.Row():
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+ with gr.Column(variant='panel', scale=5):
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+ pdf_show = gr.Markdown()
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+ max_pages = gr.Slider(1, 10, 5, step=1, label="Max convert pages")
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+ with gr.Row() as bu_flow:
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+ is_ocr = gr.Checkbox(label="Force enable OCR")
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+ change_bu = gr.Button("Convert")
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+ clear_bu = gr.ClearButton([pdf_show], value="Clear")
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+ pdf_show = PDF(label="Please upload pdf", interactive=True, height=800)
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+
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+ with gr.Column(variant='panel', scale=5):
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+ output_file = gr.File(label="convert result", interactive=False)
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+ with gr.Tabs():
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+ with gr.Tab("Markdown rendering"):
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+ md = gr.Markdown(label="Markdown rendering", height=900, show_copy_button=True,
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+ latex_delimiters=latex_delimiters, line_breaks=True)
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+ with gr.Tab("Markdown text"):
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+ md_text = gr.TextArea(lines=45, show_copy_button=True)
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+ change_bu.click(fn=to_markdown, inputs=[pdf_show, max_pages, is_ocr], outputs=[md, md_text, output_file, pdf_show])
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+ clear_bu.add([md, pdf_show, md_text, output_file, is_ocr])
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+
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+ demo.launch()
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