Error early when trying to deploy a model from a temporary board

[juliasilge]

Related to rstudio/vetiver-python#193

When calling vetiver_deploy_rsconnect() or the functions for Docker, we should check that the board isn't a board_temp() and error early if it is.

The SageMaker functions already check that the board uses S3:

vetiver-r/R/sagemaker.R

Lines 66 to 68 in 5d3fd53

	if (!inherits(board, "pins_board_s3")) {
	stop_input_type(board, "an S3 pins board")
	}

[juliasilge]

Oh, slight hiccup here! Our board_temp() doesn't have a separate class from a board_folder():

library(pins)
class(board_temp())
#> [1] "pins_board_folder" "pins_board"

^{Created on 2023-10-11 with reprex v2.0.2}