So far, we have learned about making predictions on a local server (http://127.0.0.1 is a URL of the local server that cannot be accessed on the web) – so, only the owner of the local machine can use the model. In this section, we will learn about moving this model to the cloud so that anyone can predict using an image.
In general, companies deploy services in redundant machines to ensure reliability and there is little control over the hardware provided by the cloud provider. It is not convenient to keep track of all folders and their code, or copy-paste all the code, then install all the dependencies, ensuring the code works as expected on the new environment, and forward ports on all the cloud machines. There are too many steps to be followed for the same code on every new machine. Repeating these steps is a waste of time for the developer and such a process is highly prone to mistakes.
We would rather install one package that has everything than...
