A Shiny app that walks through the same steps as the R API: drop in a dataset, drag its columns into prompt and response slots, pick a model, train in the background, watch the loss curve, try the result, talk to it with context, and run the whole post-training loop as a pipeline. Every run started here is a normal run directory, and the Monitor panel shows the R code that reproduces it.
Usage
dragon_app(runs_dir = dragon_runs_dir(), ...)Arguments
- runs_dir
Directory where runs are stored and listed.
- ...
Passed to
shiny::shinyApp()asoptions.
Examples
if (interactive()) {
dragon_app()
}