The platform uses the GPLv3 open source agreement, and developers can obtain the complete codebase through GitHub to realize local deployment. The technology stack is built based on Python Flask framework, and dependency management is standardized through requirements.txt. Private deployment requires the execution of a three-step process of git cloning, pip installation of dependencies, main.py to start the service, the default port 5000 to provide Web services. This solution is particularly suitable for internal use by educational institutions and enterprises, not only to ensure that the data does not go out of the domain, but also based on the MentatBot AI assistant for secondary development - after the user submits the GitHub Issue, the system automatically analyzes the requirements and generates the implementation code, which greatly simplifies the customization and development process.
This answer comes from the articlePollinations: free big model services in the form of URL splicing and APIsThe
