init

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 --extra-index-url https://wheels.myhloli.com')
+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'<embed src="data:application/pdf;base64,{base64_pdf}" ' \
+                  f'width="100%" height="1000" type="application/pdf">'
+    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()

requirements.txt

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+boto3>=1.28.43
+Brotli>=1.1.0
+click>=8.1.7
+PyMuPDF>=1.24.9
+loguru>=0.6.0
+numpy>=1.21.6,<2.0.0
+fast-langdetect==0.2.0
+wordninja>=2.0.0
+scikit-learn>=1.0.2
+pdfminer.six==20231228
+unimernet==0.1.6
+matplotlib
+ultralytics
+paddleocr==2.7.3
+paddlepaddle==3.0.0b1
+pypandoc
+struct-eqtable==0.1.0
+detectron2
+magic-pdf>=0.7.0b1
+gradio
+huggingface_hub