Implement geom_GeomFunction()

I am running an R shiny app that uses plotly. One of the plots includes a distribution drawn using stat_function, which works great with ggplot(), but that dissapears when the ggplot object is passed to plotly::ggplotly(), returning the following message:

Warning message:
In geom2trace.default(dots[[1L]][[1L]], dots[[2L]][[1L]], dots[[3L]][[1L]]) :
geom_GeomFunction() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues

Please, follow the reproducible example below, using the attached file (see below) as input:

library("plotly")
library("tidyverse")
df <- readr::read_csv("effect.csv")
my_plot <- df %>% ggplot2::ggplot() +
    stat_bin(aes(x=effect, y=..density..), fill="blue", colour="white", binwidth = 0.02) +
    stat_function(aes(x = effect, y = ..y..), fun = get("dlnorm"), colour="red", n = 100, args = c(-3.3, 0.5)) +
    scale_x_continuous(name = "Effect size") +
    scale_y_continuous(name = "", limits = c(0, 25))
    theme_minimal()
# ggplot (with the red line showing the distribution fit)
my_plot
# plotly version (without the line, and returning the above message)
plotly::ggplotly(my_plot)

Example file with effect.csv:
example.zip

Start with the geom2trace.default warning produced by plotly::ggplotly() and reproduce it using the supplied R example and effect.csv file. Compare the ggplot and plotly outputs for stat_function with dlnorm. Done means the distribution line appears in the plotly output and the unimplemented-geom warning is gone.