Run and deploy your AI Studio app

This contains everything you need to run your app locally.

Run Locally

Prerequisites: Node.js, Python 3.8+

Install Python dependencies in the project root: pip install -r ../requirements.txt
Install website dependencies: npm install
Start the local Python backend: npm run backend
In another terminal, run the website: npm run dev

The website talks to http://127.0.0.1:8787 and maps UI actions to:

head_extension_app.py: preview and four-state DICOM deformation output
generate_head_extension_video.py: 0° to target-angle MP4 generation
video_generator_app.py: kept as the desktop GUI wrapper for the same video generator

The Image Library is now the source of DICOM data for the workstation:

Open 数据影像库.
Click 上传文件夹 to choose a folder that contains .dcm files, or click 上传压缩包 to upload a .zip archive containing .dcm files.
Click 调阅工作站 on a library item.
The 影像变换工作站 will run preview, four-state deformation, and video generation from that selected library dataset.
Four-state deformation results are packaged by the backend as a downloadable .zip file under ../web_results/.
Generated videos are also written under ../web_results/ and exposed as downloadable .mp4 files.

Uploaded DICOM datasets are stored by the local backend under ../web_library/.