app.R

library(shiny)
library(bslib)
library(vetiver)

endpoint <- 
  vetiver_endpoint("https://jameshwade-penguins-model.hf.space/predict")

ui <- bslib::page_sidebar(
  sidebar = sidebar(
    selectInput("species", "Select Species", 
                choices = c("Adelie", "Chinstrap", "Gentoo")),
    sliderInput("bill_length_mm", "Enter Bill Length (mm):",
                min = 30, max = 60, step = 0.5, value = 45),
    sliderInput("bill_depth_mm", "Enter Bill Depth (mm):",
                min = 10, max = 22, step = 0.5, value = 15),
    sliderInput("flipper_length_mm", "Enter Flipper Length (mm):",
                min = 170, max = 235, step = 0.5, value = 200),
    sliderInput("body_mass_g", "Enter Body Mass (g):",
                min = 2700, max = 6300, step = 10, value = 3500),
    actionButton("predict", "Predict"), 
    open = TRUE
  ),
  verbatimTextOutput("info")
)

server <- function(input, output, session) {
  observe({
    new_data <- data.frame(
      species            = input$species,
      bill_length_mm     = input$bill_length_mm,
      bill_depth_mm      = input$bill_depth_mm,
      flipper_length_mm  = input$flipper_length_mm,
      body_mass_g        = input$body_mass_g
    )
    prediction <- predict(endpoint, new_data)
    output$info <- renderPrint(prediction)
  }) |> bindEvent(input$predict)
}

shinyApp(ui, server)