The project enables cross-platform, one-click deployment through containerization technology:
- The pre-built Docker image (trv:latest) contains the full runtime environment, including key components such as FFmpeg 6.0, Python 3.11 and Typst 0.11
- Support for data volume mapping (
-v $(pwd):/data), enabling seamless local file editing and in-container processing - adoption
--rmAutomatic cleanup mechanism to avoid generating redundant containers that consume resources
Compared to traditional local installation, the Docker solution shortens the installation time from an average of 47 minutes to 3 minutes and achieves a success rate of 98.4%. For enterprise users, it also supports the deployment of clustered processing nodes via Kubernetes to achieve the ability to batch generate thousands of videos per hour.
This answer comes from the articleTRV: Rapidly Generate Presentation Videos from Slides/PPTs and Explanatory NotesThe
May not be reproduced without permission:AI productivity tools " TRV's Docker Deployment Solution Significantly Lowers the Technical Barrier to Use
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