Commit cf48c1f9 authored by myhloli's avatar myhloli

feat(gradio_app): add web app with PDF processing as a project

parent 58a00317
......@@ -3,4 +3,5 @@
## Project List
- [llama_index_rag](./llama_index_rag/README.md): Build a lightweight RAG system based on llama_index
- [gradio_app](./gradio_app/README.md): Build a web app based on gradio
......@@ -3,3 +3,4 @@
## 项目列表
- [llama_index_rag](./llama_index_rag/README_zh-CN.md): 基于 llama_index 构建轻量级 RAG 系统
- [gradio_app](./gradio_app/README_zh-CN.md): 基于 Gradio 的 Web 应用
## Installation
MinerU(>=0.8.0)
> If you already have a functioning MinerU environment, you can skip this step.
>
[Deploy in CPU environment](https://github.com/opendatalab/MinerU?tab=readme-ov-file#quick-cpu-demo)
[Deploy in GPU environment](https://github.com/opendatalab/MinerU?tab=readme-ov-file#using-gpu)
Third-party Software
```bash
pip install gradio gradio-pdf
```
## Start Gradio App
```bash
python app.py
```
## Use Gradio App
Access http://127.0.0.1:7860 in your web browser
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## 安装
MinerU(>=0.8.0)
>如已有正常运行的MinerU环境则可以跳过此步骤
>
[在CPU环境部署](https://github.com/opendatalab/MinerU/blob/master/README_zh-CN.md#%E4%BD%BF%E7%94%A8cpu%E5%BF%AB%E9%80%9F%E4%BD%93%E9%AA%8C)
[在GPU环境部署](https://github.com/opendatalab/MinerU/blob/master/README_zh-CN.md#%E4%BD%BF%E7%94%A8gpu)
第三方软件
```bash
pip install gradio gradio-pdf
```
## 启动gradio应用
```bash
python app.py
```
## 使用gradio应用
在浏览器中访问 http://127.0.0.1:7860
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# Copyright (c) Opendatalab. All rights reserved.
import base64
import os
import time
import zipfile
from pathlib import Path
import re
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 gradio as gr
from gradio_pdf import PDF
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, is_ocr):
os.makedirs(output_dir, exist_ok=True)
try:
file_name = f"{str(Path(doc_path).stem)}_{time.time()}"
pdf_data = read_fn(doc_path)
if is_ocr:
parse_method = "ocr"
else:
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, is_ocr):
# 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, is_ocr)
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, new_pdf_path
latex_delimiters = [{"left": "$$", "right": "$$", "display": True},
{"left": '$', "right": '$', "display": False}]
def init_model():
from magic_pdf.model.doc_analyze_by_custom_model import ModelSingleton
try:
model_manager = ModelSingleton()
txt_model = model_manager.get_model(False, False)
logger.info(f"txt_model init final")
ocr_model = model_manager.get_model(True, False)
logger.info(f"ocr_model init final")
return 0
except Exception as e:
logger.exception(e)
return -1
model_init = init_model()
logger.info(f"model_init: {model_init}")
with open("header.html", "r") as file:
header = file.read()
if __name__ == "__main__":
with gr.Blocks() as demo:
gr.HTML(header)
with gr.Row():
with gr.Column(variant='panel', scale=5):
pdf_show = gr.Markdown()
max_pages = gr.Slider(1, 10, 5, step=1, label="Max convert pages")
with gr.Row() as bu_flow:
is_ocr = gr.Checkbox(label="Force enable OCR")
change_bu = gr.Button("Convert")
clear_bu = gr.ClearButton([pdf_show], value="Clear")
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)
change_bu.click(fn=to_markdown, inputs=[pdf_show, max_pages, is_ocr], outputs=[md, md_text, output_file, pdf_show])
clear_bu.add([md, pdf_show, md_text, output_file, is_ocr])
demo.launch()
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<html><head>
<link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.15.4/css/all.css">
<style>
.link-block {
border: 1px solid transparent;
border-radius: 24px;
background-color: rgba(54, 54, 54, 1);
cursor: pointer !important;
}
.link-block:hover {
background-color: rgba(54, 54, 54, 0.75) !important;
cursor: pointer !important;
}
.external-link {
display: inline-flex;
align-items: center;
height: 36px;
line-height: 36px;
padding: 0 16px;
cursor: pointer !important;
}
.external-link,
.external-link:hover {
cursor: pointer !important;
}
a {
text-decoration: none;
}
</style></head>
<body>
<div style="
display: flex;
flex-direction: column;
justify-content: center;
align-items: center;
text-align: center;
background: linear-gradient(45deg, #007bff 0%, #0056b3 100%);
padding: 24px;
gap: 24px;
border-radius: 8px;
">
<div style="
display: flex;
flex-direction: column;
align-items: center;
gap: 16px;
">
<div style="display: flex; flex-direction: column; gap: 8px">
<h1 style="
font-size: 48px;
color: #fafafa;
margin: 0;
font-family: 'Trebuchet MS', 'Lucida Sans Unicode',
'Lucida Grande', 'Lucida Sans', Arial, sans-serif;
">
MinerU: PDF Extraction Demo
</h1>
</div>
</div>
<p style="
margin: 0;
line-height: 1.6rem;
font-size: 16px;
color: #fafafa;
opacity: 0.8;
">
A one-stop, open-source, high-quality data extraction tool, supports
PDF/webpage/e-book extraction.<br>
</p>
<style>
.link-block {
display: inline-block;
}
.link-block + .link-block {
margin-left: 20px;
}
</style>
<div class="column has-text-centered">
<div class="publication-links">
<!-- Code Link. -->
<span class="link-block">
<a href="https://github.com/opendatalab/MinerU" class="external-link button is-normal is-rounded is-dark" style="text-decoration: none; cursor: pointer">
<span class="icon" style="margin-right: 4px">
<i class="fab fa-github" style="color: white; margin-right: 4px"></i>
</span>
<span style="color: white">Code</span>
</a>
</span>
<!-- Homepage Link. -->
<span class="link-block">
<a href="https://opendatalab.com/" class="external-link button is-normal is-rounded is-dark" style="text-decoration: none; cursor: pointer">
<span class="icon" style="margin-right: 8px">
<i class="fas fa-globe" style="color: white"></i>
</span>
<span style="color: white">Homepage</span>
</a>
</span>
</div>
</div>
<!-- New Demo Links -->
</div>
</body></html>
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magic-pdf[full]>=0.8.0
gradio
gradio-pdf
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