Problem in creating boxplots with R shiny app

I'm very new to the Shiny app R. I'm trying to make simple boxplots in the Shiny R app for some dataset.

Here I am showing some example data in a file df.csv. The data looks like below. Showing the dput of the data below:

structure(list(Samples = structure(1:10, .Label = c("Sample1", 
"Sample10", "Sample2", "Sample3", "Sample4", "Sample5", "Sample6", 
"Sample7", "Sample8", "Sample9"), class = "factor"), Type = structure(c(2L, 
1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L), .Label = c("Normal", "Tumor"
), class = "factor"), A1BG = c(0, 0.01869105, 0.026705782, 0.016576987, 
0, 0.007636787, 0.015756547, 0.00609601, 0.115575528, 0.04717536
), A1BG.AS1 = c(0, 0.096652515, 0.086710002, 0.04683499, 0.188283185, 
0.104318353, 0.102735593, 0.100064808, 0.04717536, 0.159745808
), A1CF = c(1.616942802, 1.367084444, 1.101855892, 1.3823884, 
0.631627098, 2.407159505, 1.687449785, 1.229844138, 0.87989414, 
0.642785868), A2M = c(3.357654845, 3.149165846, 3.654774122, 
2.851143092, 2.952601867, 4.002335454, 4.123949457, 3.691343955, 
3.553064673, 3.425443559), A2M.AS1 = c(0.217308191, 0.08268571, 
0.297320544, 0.101579093, 0.020102613, 0.35578965, 0.288014115, 
0.145352771, 0.043808388, 0.104677012), A2ML1 = c(0, 0.017949113, 
0.00984907, 0.002289616, 0, 0.002100359, 0.032146138, 0.052275569, 
0.537892142, 0), A2ML1.AS1 = c(0.631627098, 0.04717536, 1.229844138, 
0, 4.002335454, 0, 1.229844138, 1.229844138, 0.04717536, 0)), row.names = c(NA, 
-10L), class = "data.frame")

With the above information, I am trying to make a shiny app. My code looks like below:

library(shiny)

ui <- fluidPage(
  sidebarLayout(
    sidebarPanel(
      selectInput("thegene", "Gene", choices = c("A2M", "A1CF", "A2MP1"), selected = "A2M"),
      radioButtons("colour","Colour of histogram",choices=c("red","green","blue"),selected="red"),
      width = 3
    ),
    mainPanel(
      plotOutput("boxplot"),
      width = 9
    )
  )
)

server <- function(input, output) {

  df <- read.csv("df.csv")

  library(reshape2)
  library(ggplot2)
  library(ggpubr)
  library(EnvStats)

  df.m <- melt(df, c("Samples", "Type"))

  output$boxplot <- renderPlot({
    ggplot(data=df.m, aes(x = Type, y = value, fill=variable)) +
      geom_boxplot() +
      theme_bw(base_size = 14) + xlab("") + ylab("Expression logFPKM") +
      theme(axis.text=element_text(size=15, face = "bold", color = "black"),
            axis.title=element_text(size=15, face = "bold", color = "black"),
            strip.text = element_text(size=15, face = "bold", color = "black")) +
      stat_compare_means(method = "t.test", size=5) + stat_n_text()
  })

}

# Run the application 
shinyApp(ui = ui, server = server)

So, I reshaped the information and then tried making an app to create a boxplot for each gene between Tumor (6 samples) and Normal (4 samples).

I don't see any error, but I also don't get the desired result. The output of my above code looks like below:

1) The number of samples in the boxplot below each Type is wrong.

2) For the Selection of genes, I could see only three genes there. I don't see other genes there. How to check for other genes?

3) The color of the histogram is also not working.

Any help is appreciated. Thank you.