Background
Currently (version 1.7.x), some pythainlp modules will install a package/packages automatically if it's not yet installed.
For example:
try:
import deepcut
except ImportError:
from pythainlp.tools import install_package
install_package("deepcut")
import deepcut
The mechanism may convenient and suitable for use case inside a Jupyter notebook, but may not be ideal for other use cases' environment, like running in a system that's need more control over which package should be in presented in the system.
Proposal
Remove the automatic installation.
Just import the package and let it fails if the package doesn't currently exist in the system.
Rational
The difference here is transparency.
Running code in Jupyter notebook, the user can see the code and see what's currently happening on the cell's output window.
Running code on a server, for example, it is not that visible for the user.
Files/modules that will be affected