diff --git a/app.R b/app.R
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--- /dev/null
+++ b/app.R
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+# Load necessary libraries
+library(shiny)
+library(jsonlite)
+library(httr)
+library(shinycssloaders) # For the spinner
+
+# Assuming you have your custom functions in a file called 'your_functions.R'
+devtools::load_all()
+
+source("secrets")
+
+# Create a Bearer token header
+headers.default <- add_headers(
+  accept = "*/*",
+  apikey = token4
+)
+
+# Load station data
+allstations <- read.csv("allstations.csv")
+
+# Define UI for application
+ui <- fluidPage(
+  tags$head(
+    tags$style(HTML("
+      #main {
+        height: 100vh; /* Full height of the viewport */
+        overflow-y: auto; /* Scroll if content overflows */
+      }
+      .container-fluid {
+        height: 100vh; /* Full height of the viewport */
+        display: flex;
+        flex-direction: column;
+      }
+      .row {
+        flex-grow: 1;
+        display: flex;
+      }
+      .col-sm-8 {
+        flex-grow: 1; /* Allow the main panel to grow */
+      }
+    "))
+  ),
+  
+  # Application title
+  titlePanel("Beaumont aka SECMONT"),
+  
+  # Sidebar for user inputs
+  sidebarLayout(
+    sidebarPanel(
+      width=2,
+      numericInput(
+        inputId = "daysBefore",
+        label = "Nb jour à  check:",
+        value = 10,
+        min = 0
+      )
+    ),
+    
+    # Main panel for displaying plot
+    mainPanel(
+     width = 6,
+     withSpinner( plotOutput("dataPlot"))
+    )
+  )
+)
+
+# Define server logic required to generate and plot data
+server <- function(input, output) {
+  # Reactive expression to fetch data based on input and display spinner while loading
+  
+  
+  # Render the plot
+  output$dataPlot <- renderPlot({
+    startdate <- format(Sys.Date() - input$daysBefore, "%Y-%m-%d")
+    test1 <- getAllFromCoord(vignass.coor, start_date = startdate, end_date = format(Sys.Date(), "%Y-%m-%d"), allstations, headers = headers.default,btw_station_sleep = .5,within_statio_sleep = 1)
+    
+    # Prepare colors
+    cols <- palette.colors()[1:length(unique(test1$Nom_usuel))]
+    names(cols) <- unique(test1$Nom_usuel)
+    
+    # Filter data
+    testsep <- test1
+    testsep[testsep[,3] == 0 & !is.na(testsep[,3]), c(3,4)] <- NA
+    
+    plot(getDate(testsep[,2]), testsep[,3], pch = 20, col = adjustcolor(cols[testsep$Nom_usuel], .4), cex = 1.3, ylim = c(0, 8))
+    
+    # Add legend
+    legend("topleft", col = cols, legend = names(cols), pch = 20, cex = 1)
+    
+    # Highlight specific date
+    abline(v = as.numeric(as.POSIXlt("2024-08-07", format = "%Y-%m-%d")), lwd = 3, col = "red")
+  })
+}
+
+# Run the application 
+shinyApp(ui = ui, server = server)