diff --git a/app.R b/app.R
index 3ad3dbe4..bea0d359 100644
--- a/app.R
+++ b/app.R
@@ -1,4 +1,4 @@
-# Data Incite RPI Study Safe App using UI Template
+## Data Incite RPI Study Safe App using UI Template
 # Uses Shinydashboard as a framework https://rstudio.github.io/shinydashboard/
 # UI Template Created by Arielle Cerini, Brian Hotopp, Haoyu He, and James Young
 # Edited by Kara Kniss
@@ -11,6 +11,9 @@ Sys.setenv(TZ="America/New_York")
 #document for reading in the relevant libraries, data, and cleaning
 source('read_wapData.R')
 
+# Data for Roma's additions
+buildinghoursAccessInfo <- read_csv("buildinghoursAccessInfo.csv")
+
 # Suppress those dplyr warnings
 
 #LINK TO FEEDBACK SURVEY
@@ -166,8 +169,9 @@ ui <- dashboardPage(skin = "black", title = "RPI StudySafe",
                                                       label= tags$div(HTML("<b><span style = 'color: #54585a'>List by Activity</span></b>")),
                                                       value = FALSE, status = "default", fill = TRUE, bigger = TRUE),
                                          uiOutput("busy_info", align = "center"),
+                                         uiOutput("BuildingInfo", align = "center"),
                                          plotOutput("hourly_crowd", click = "pick_time", height="20vh"),
-                                         h1("StudySafe uses near-real-time, anonymous WiFi data from the last 7 days")),
+                                         h1("StudySafe uses near-real-time, anonymous WiFi data from the last 3 weeks")),
                                 
                         )
                       ),
@@ -229,7 +233,8 @@ server <- function(input, output, session) {
     # get the buliding clicked from the lat and long of the marker
     clicked_lat = input$campusMap_marker_click$lat
     clicked_lng = input$campusMap_marker_click$lng
-    data <- rpi_wap_last7 %>% filter(weekday == application_state$day & lng == clicked_lng & lat == clicked_lat)
+    data <- user_predictions %>% filter(weekday == application_state$day & lng == clicked_lng & lat == clicked_lat)
+    #browser()
     building <- (data$Building)[1]
     updatePickerInput(session, inputId="user_selected_building", selected=building)
     leafletProxy("campusMap") %>% clearGroup(group="selected") %>% addAwesomeMarkers(icon= icon, lat=clicked_lat, lng=clicked_lng, group="selected")
@@ -245,7 +250,7 @@ server <- function(input, output, session) {
   
   # main leaflet map
   output$campusMap <- renderLeaflet({
-    data <- rpi_wap_last7 %>% filter(weekday == application_state$day) 
+    data <- user_predictions %>% filter(weekday == application_state$day) 
     point <- data %>% filter(Building == application_state$building) %>% select(lat,lng) %>% unique()
     map_info <- get_map_info(data, application_state$time, hits_per_wap_semester_by_building_max)
     leaf_map <- get_map(map_info, point$lat, point$lng)
@@ -255,18 +260,32 @@ server <- function(input, output, session) {
   # "google-maps" style plot 
   output$hourly_crowd <- renderPlot({
     # get data to feed into make_plot 
-    data <- rpi_wap_last7 %>% filter(weekday == application_state$day & Building == application_state$building) 
+    data <- user_predictions %>% filter(weekday == application_state$day & Building == application_state$building) 
     make_plot(data, application_state$time, application_state$building, hits_per_wap_semester_by_building_max)
   }, bg="transparent")
   
   # print information on how busy the building is
   output$busy_info <- renderUI({
-    data <- rpi_wap_last7 %>% filter(weekday == application_state$day & Hour == application_state$time & Building == application_state$building) 
+    data <- user_predictions %>% filter(weekday == application_state$day & Hour == application_state$time & Building == application_state$building) 
     text <- busy_text(data, application_state$building, hits_per_wap_semester_by_building_max)
     time_ampm <- time.data[application_state$time+1,2]
     p("At", time_ampm, " ", application_state$building,"is", text)
   })
   
+  output$BuildingInfo <- renderUI({
+    if(application_state$building %in% buildinghoursAccessInfo$Building ){
+      #paste("You have selected" , building_select)
+      {stringr::str_c(application_state$building,  "hours: ",buildinghoursAccessInfo[buildinghoursAccessInfo$Building == application_state$building, ]$TimeZone,
+                      ', Access:',
+                      buildinghoursAccessInfo[buildinghoursAccessInfo$Building == application_state$building, ]$Mode, sep = " ")}
+    }
+    else{
+      paste("Building hours and access information for", application_state$building, "are not available at this time")
+    }
+    #paste("You have selected" , building_select)
+  })
+  
+  
   # print title block 
   output$MT_title_summary <- renderText({
     time_ampm <- time.data[application_state$time+1,2]
@@ -299,4 +318,4 @@ server <- function(input, output, session) {
 }
 
 # Run the application
-shinyApp(ui = ui, server = server)
+shinyApp(ui = ui, server = server)
\ No newline at end of file
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