GitLab

* build(docker): update base image to Ubuntu 22.04 and install PaddlePaddleUpgrade the Docker base image from ubuntu:latest to ubuntu:22.04 for improved
performance and stability.

Additionally, integrate PaddlePaddle GPU version 3.0.0b1
into the Docker build for enhanced AI capabilities. The MinIO configuration file has
also been updated to the latest version.

* build(dockerfile): Updated the Dockerfile

* build(Dockerfile): update Dockerfile

* docs(docker): add instructions for quick deployment with Docker

Include Docker-based deployment instructions in the README for both English and
Chinese locales. This update provides users a quick-start guide to using Docker for
deployment, with notes on GPU VRAM requirements and default acceleration features.

* build(docker): Layer the installation of dependencies, downloading the model, and the setup of the program itself.

* build(docker): Layer the installation of dependencies, downloading the model, and the setup of the program itself.

* feat: rename the file generated by command line tools

* feat: add pdf filename as prefix to {span,layout,model}.pdf

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Co-authored-by: icecraft <tmortred@gmail.com>
Co-authored-by: icecraft <xurui1@pjlab.org.cn>

Reorganize the installation instructions for Magic-PDF to clarify the dependency on
detectron2 and provide a more straightforward installation process. The update includes
separating the dependency installation from the package installation and adding a note
about precompiled wheels for Python 3.10.

BREAKING CHANGE: The installation guide now assumes basic familiarity with detectron2
installation requirements. Users who need to compile detectron2 from source should refer
to the official detectron2 documentation.

Update the PyTorch installation command in the README files for both English and Chinese
versions to reflect the required version compatibility with CUDA 11.8. Include explicit
instructions to specify the PyTorch version to avoid automatic installation of higher,
unsupported versions. Additionally, clarify the importance of modifying the "device-mode"
parameter in the magic-pdf.json configuration file for proper CUDA device selection.

Update the PyTorch installation guide in both English and Chinese READMEs to explicitly
recommend using torch==2.3.1 and torchvision==0.18.1 for CUDA 11.8. Emphasize the
importance of specifying these versions to avoid compatibility issues with higher,
unsupported versions.

We have pre-released the 0.6.2 beta version, which addresses numerous issues
reported in our logs. This commit updates the installation guide in the README to
include information on how to install this beta version. Users are advised that
this build has not undergone full QA testing and may contain issues. A
revert instruction to version 0.6.1 is also provided for users who encounter
problems.

BREAKING CHANGE: Installation instructions now include beta version
information. Users should be aware of potential issues with the0.6.2 beta
version and consider reverting to 0.6.1 if necessary.

I created Japanese translated README.

超链接格式完善

文章末尾新增友情链接，便于labelllm、labelu仓库引流

modify readme.md