Model Deployment
Develop on local, run on cloud!
Create a bridge your between local and cloud. With single line of code.
AI and ML models on local machine is like a hell. We know that and we motivated to create a bridge between local and cloud.
Prerequisite You should have magicpoint.yaml
to use bridge!
Letβs continue with an example. If you have an magicpoint application like that;
example_app.py
If you are working on training method you can run following commands to serve on cloud:
Output will shown like that;