Highlight a bar with input in a ggplot / renderPlotly


I have as output in R shiny a ggplot / geom bar.

I would like to highlight a bar when the user choose an input corresponding (meaning he choose a modality and the corresponding bar changes color)

I try to figure out for few days but I can't get.

This is UI :

checkboxGroupInput(inputId = "chauffage", 
                                              label = "Votre mode de chauffage :",
                                              choices = list("électrique"=1, "gaz naturel individuel"=2, "gaz naturel collectif"=3, 
                                                          "charbon"=4, "fioul domestique collectif"=5, "fioul domestique individuel"=6,
                                                          "GPL"=7, "réseau de chaleur"=8))),
box(id = "res2", title = "Estimer le chauffage :", 
                       status = "success", solidHeader = FALSE, collapsible = FALSE, 
                       width = NULL, 

and server :

output$graph_chauffage <- renderPlotly ({

    cols <- c("électrique"= "#e72f3f", "gaz naturel individuel"="#e72f3f", "gaz naturel collectif"= "#e72f3f", "charbon"="#e72f3f",
              "fioul domestique individuel"="#e72f3f","GPL"=  "#e72f3f", "réseau de chaleur"="#e72f3f", "fioul domestique collectif"="#e72f3f")

    cols['input$chauffage'] <- "#9184be"

    g <- ggplot(periode(), aes(x = type_chauffage, y = chauffage_en_kWh_par_logement, fill=type_chauffage)) +
      geom_bar( stat = "identity") +
      xlab("Type de chauffage" ) + ylab("Consommation énergétique en kWh/m²") +
      theme(axis.text.x = element_text(angle = 45, hjust = 1),panel.background = element_rect(fill = "transparent"), legend.position = "none")+
      geom_text(aes(label=chauffage_en_euro),vjust=1.6,size=3.5, color = "navy")

    ggplotly(g) %>%
      config(displaylogo = FALSE, collaborate = FALSE,
             displayModeBar = FALSE)

Thanks for your help !

Could you format this into a reproducible example? That is a set of code that folks can easily get up and running to replicate your issue? Currently, this is only part of a shiny app.

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This will make it easier for folks to replicate your issue and offer suggestions to solve it.