OCR_server / app.py
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# 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('pip install -U magic_pdf-0.8.0a2-py3-none-any.whl')
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 ~/magic-pdf.json')
os.system(f"sed -i 's|/tmp/models|{model_dir}/models|g' /home/user/magic-pdf.json")
os.system("sed -i 's|cpu|cuda|g' /home/user/magic-pdf.json")
os.system("pip install gradio-pdf")
from gradio_pdf import PDF
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
import spaces
def read_fn(path):
disk_rw = DiskReaderWriter(os.path.dirname(path))
return disk_rw.read(os.path.basename(path), AbsReaderWriter.MODE_BIN)
@spaces.GPU(duration=120)
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)
return md_content, txt_content, archive_zip_path, 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'<embed src="data:application/pdf;base64,{base64_pdf}" ' \
# f'width="100%" height="1000" type="application/pdf">'
# return pdf_display
def show_pdf(file):
return file
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"])
pdf_show = gr.Markdown()
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([pdf_show], value="Clear")
# pdf_show = gr.HTML(label="PDF preview")
pdf_show = PDF(label="Please upload pdf", interactive=True, height=800)
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=900, show_copy_button=True,
latex_delimiters=latex_delimiters, line_breaks=True)
with gr.Tab("Markdown text"):
md_text = gr.TextArea(lines=45, show_copy_button=True)
# file.upload(fn=show_pdf, inputs=file, outputs=pdf_show)
change_bu.click(fn=to_markdown, inputs=[pdf_show, max_pages], outputs=[md, md_text, output_file, pdf_show])
clear_bu.add([md, pdf_show, md_text, output_file])
demo.launch()