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Running
on
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Update app.py
Browse files
app.py
CHANGED
@@ -1,28 +1,22 @@
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# Copyright (c) Opendatalab. All rights reserved.
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import base64
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import json
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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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import uuid
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import pymupdf
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# os.system('pip install -U magic-pdf==0.10.5')
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os.system('pip uninstall -y magic-pdf')
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os.system('pip install git+https://github.com/opendatalab/MinerU.git@dev')
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# os.system('pip install git+https://github.com/myhloli/Magic-PDF.git@dev')
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os.system('
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os.system('python download_models_hf.py')
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with open('/home/user/
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config = json.load(file)
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config['device-mode'] = "cuda"
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delimiters = {
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'display': {'left': '\\[', 'right': '\\]'},
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'inline': {'left': '\\(', 'right': '\\)'}
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@@ -34,49 +28,39 @@ if os.getenv('apikey'):
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config['llm-aided-config']['title_aided']['api_key'] = os.getenv('apikey')
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config['llm-aided-config']['title_aided']['enable'] = True
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with open('/home/user/
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json.dump(config, file, indent=4)
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# os.system('cp -r paddleocr /home/user/.paddleocr')
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from gradio_pdf import PDF
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import gradio as gr
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from loguru import logger
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from
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from
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from magic_pdf.tools.common import do_parse, prepare_env
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def read_fn(path):
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disk_rw = FileBasedDataReader(os.path.dirname(path))
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return disk_rw.read(os.path.basename(path))
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def parse_pdf(doc_path, output_dir, end_page_id, is_ocr, layout_mode, formula_enable, table_enable, language):
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os.makedirs(output_dir, exist_ok=True)
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try:
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file_name = f
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pdf_data = read_fn(doc_path)
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if is_ocr:
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parse_method =
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else:
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parse_method =
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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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table_enable=table_enable,
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lang=language,
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f_dump_orig_pdf=False,
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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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@@ -128,25 +112,24 @@ def replace_image_with_base64(markdown_text, image_dir_path):
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return re.sub(pattern, replace, markdown_text)
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def to_markdown(file_path, end_pages, is_ocr,
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file_path = to_pdf(file_path)
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if end_pages > 20:
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end_pages = 20
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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(
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else:
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logger.error(
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md_path = os.path.join(local_md_dir, file_name +
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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 +
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return md_content, txt_content, archive_zip_path, new_pdf_path
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@@ -155,24 +138,6 @@ latex_delimiters = [{"left": "\\[", "right": "\\]", "display": True},
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{"left": "\\(", "right": "\\)", "display": False}]
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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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model_init = init_model()
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logger.info(f"model_init: {model_init}")
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with open("header.html", "r") as file:
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header = file.read()
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@@ -201,67 +166,72 @@ all_lang = []
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all_lang.extend([*other_lang, *add_lang])
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def to_pdf(file_path):
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with pymupdf.open(file_path) as f:
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if f.is_pdf:
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return file_path
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else:
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pdf_bytes = f.convert_to_pdf()
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# 将pdfbytes 写入到uuid.pdf中
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# 生成唯一的文件名
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unique_filename = f"{uuid.uuid4()}.pdf"
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tmp_pdf_file.write(pdf_bytes)
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if __name__ ==
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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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file = gr.File(label="Please upload a PDF or image", file_types=[".pdf", ".png", ".jpeg", ".jpg"])
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max_pages = gr.Slider(1, 20, 10, step=1, label='Max convert pages')
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with gr.Row():
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with gr.Row():
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table_enable = gr.Checkbox(label=
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with gr.Row():
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change_bu = gr.Button(
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clear_bu = gr.ClearButton(value=
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pdf_show = PDF(label='PDF preview', interactive=False, visible=True, height=800)
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with gr.Accordion(
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example_root = os.path.join(os.path.dirname(__file__),
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gr.Examples(
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examples=[os.path.join(example_root, _) for _ in os.listdir(example_root) if
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_.endswith(
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inputs=file
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)
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with gr.Column(variant='panel', scale=5):
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output_file = gr.File(label=
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with gr.Tabs():
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with gr.Tab(
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md = gr.Markdown(label=
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latex_delimiters=latex_delimiters,
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line_breaks=True)
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with gr.Tab(
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md_text = gr.TextArea(lines=45, show_copy_button=True)
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file.change(fn=to_pdf, inputs=file, outputs=pdf_show)
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change_bu.click(fn=to_markdown, inputs=[file, max_pages, is_ocr,
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outputs=[md, md_text, output_file, pdf_show]
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clear_bu.add([file, md, pdf_show, md_text, output_file, is_ocr])
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demo.launch(ssr_mode=True)
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# Copyright (c) Opendatalab. All rights reserved.
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import base64
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import os
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import json
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import re
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import time
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import zipfile
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from pathlib import Path
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os.system('pip uninstall -y magic-pdf')
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os.system('pip uninstall -y mineru')
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os.system('pip install git+https://github.com/opendatalab/MinerU.git@dev')
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os.system('mineru-models-download -s huggingface -m pipeline')
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with open('/home/user/mineru.json', 'r') as file:
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config = json.load(file)
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delimiters = {
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'display': {'left': '\\[', 'right': '\\]'},
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'inline': {'left': '\\(', 'right': '\\)'}
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config['llm-aided-config']['title_aided']['api_key'] = os.getenv('apikey')
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config['llm-aided-config']['title_aided']['enable'] = True
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with open('/home/user/mineru.json', 'w') as file:
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json.dump(config, file, indent=4)
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from gradio_pdf import PDF
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import gradio as gr
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from loguru import logger
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from mineru.cli.common import prepare_env, do_parse, read_fn
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from mineru.utils.hash_utils import str_sha256
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os.environ['MINERU_MODEL_SOURCE'] = 'local'
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def parse_pdf(doc_path, output_dir, end_page_id, is_ocr, formula_enable, table_enable, language):
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os.makedirs(output_dir, exist_ok=True)
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try:
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file_name = f'{str(Path(doc_path).stem)}_{time.strftime("%y%m%d_%H%M%S")}'
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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=output_dir,
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pdf_file_names=[file_name],
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pdf_bytes_list=[pdf_data],
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p_lang_list=[language],
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parse_method=parse_method,
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end_page_id=end_page_id,
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p_formula_enable=formula_enable,
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p_table_enable=table_enable,
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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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return re.sub(pattern, replace, markdown_text)
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def to_markdown(file_path, end_pages, is_ocr, formula_enable, table_enable, language):
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file_path = to_pdf(file_path)
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if end_pages > 20:
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end_pages = 20
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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, formula_enable, table_enable, language)
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archive_zip_path = os.path.join('./output', str_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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return md_content, txt_content, archive_zip_path, new_pdf_path
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{"left": "\\(", "right": "\\)", "display": False}]
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with open("header.html", "r") as file:
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header = file.read()
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all_lang.extend([*other_lang, *add_lang])
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def safe_stem(file_path):
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stem = Path(file_path).stem
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# 只保留字母、数字、下划线和点,其他字符替换为下划线
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return re.sub(r'[^\w.]', '_', stem)
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def to_pdf(file_path):
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if file_path is None:
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return None
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pdf_bytes = read_fn(file_path)
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# unique_filename = f'{uuid.uuid4()}.pdf'
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unique_filename = f'{safe_stem(file_path)}.pdf'
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# 构建完整的文件路径
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tmp_file_path = os.path.join(os.path.dirname(file_path), unique_filename)
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# 将字节数据写入文件
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with open(tmp_file_path, 'wb') as tmp_pdf_file:
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tmp_pdf_file.write(pdf_bytes)
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return tmp_file_path
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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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with gr.Row():
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file = gr.File(label='Please upload a PDF or image', file_types=['.pdf', '.png', '.jpeg', '.jpg'])
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with gr.Row(equal_height=True):
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with gr.Column(scale=4):
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max_pages = gr.Slider(1, 20, 10, step=1, label='Max convert pages')
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with gr.Column(scale=1):
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language = gr.Dropdown(all_lang, label='Language', value='ch')
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with gr.Row():
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is_ocr = gr.Checkbox(label='Force enable OCR', value=False)
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formula_enable = gr.Checkbox(label='Enable formula recognition', value=True)
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table_enable = gr.Checkbox(label='Enable table recognition(test)', value=True)
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with gr.Row():
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change_bu = gr.Button('Convert')
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clear_bu = gr.ClearButton(value='Clear')
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pdf_show = PDF(label='PDF preview', interactive=False, visible=True, height=800)
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with gr.Accordion('Examples:'):
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example_root = os.path.join(os.path.dirname(__file__), 'examples')
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gr.Examples(
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examples=[os.path.join(example_root, _) for _ in os.listdir(example_root) if
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_.endswith('pdf')],
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inputs=file
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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=1100, show_copy_button=True,
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latex_delimiters=latex_delimiters,
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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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file.change(fn=to_pdf, inputs=file, outputs=pdf_show)
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change_bu.click(fn=to_markdown, inputs=[file, max_pages, is_ocr, formula_enable, table_enable, language],
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outputs=[md, md_text, output_file, pdf_show])
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clear_bu.add([file, md, pdf_show, md_text, output_file, is_ocr])
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demo.launch(ssr_mode=True)
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