Update app.R

app.R

@@ -10,14 +10,19 @@ library(patchwork)  # For combining plots
 
 # [Previous functions remain the same: download_private_csv, heatMap, and data loading]
 download_private_csv <- function(repo_id, filename) {
-  url <- paste0("https://huggingface.co/spaces/", repo_id, "/resolve/main/", filename)
-  cat(url)
-  response <- GET(url)
+  url <- paste0("https://huggingface.co/datasets/", repo_id, "/resolve/main/", filename)
+  response <- GET(url, add_headers(Authorization = paste("Bearer", Sys.getenv("GETCSV"))))
   
   if (status_code(response) == 200) {
     content <- content(response, "text")
     con <- textConnection(content)
-    data <- read.csv(con)
+    
+    # Try different read options
+    data <- read.csv(con, 
+                     header = TRUE,
+                     check.names = FALSE,  # This prevents R from modifying column names
+                     fileEncoding = "UTF-8",
+                     stringsAsFactors = FALSE)
     close(con)
     return(data)
   } else {
@@ -65,22 +70,22 @@ heatMap <- function(data, gtitle, concen) {
     )
 }
 
-mlb <- download_private_csv("TimStats/MiLBStatcast", paste0("MLB", "24T", ".csv"))
-aaa <- download_private_csv("TimStats/MiLBStatcast", paste0("AAA", "24T", ".csv"))
-fsl <- download_private_csv("TimStats/MiLBStatcast", paste0("FSL", "24T", ".csv"))
+mlb <- download_private_csv("TimStats/StatcastDataAll", "MLB.csv")
+aaa <- download_private_csv("TimStats/StatcastDataAll", "AAA.csv")
+fsl <- download_private_csv("TimStats/StatcastDataAll", "FSL.csv")
 
 ui <- page_fluid(
   theme = bs_theme(bg = "#333333", fg = "#ffffff", primary = "#428bca"),
   
   card(
-    card_header("Player Analysis Dashboard"),
+    card_header("2020-2024 Filterable Pitcher Heatmaps"),
     card(
       layout_columns(
         col_widths = c(4, 4, 4),
         card(
           selectInput("league", "Select League:", choices = c("MLB","AAA","FSL")),
           selectInput("player", "Select Player:", choices = c("")),
-          sliderInput("concen", "Heatmap Bandwidth", value = 1, step = 0.05, min = .5, max = 1.5)
+          sliderInput("concen", "Heatmap Bandwidth Factor", value = .75, step = 0.05, min = .5, max = 1.5)
         ),
         card(
           selectInput("hand1", "Batter Handedness", choices = c("All Batters","LHH","RHH")),
@@ -111,11 +116,11 @@ server <- function(input, output, session) {
     # Function to filter data based on inputs
     filter_data <- function(hand, pitch, date_range) {
       data <- if(hand == "All Batters") {
-        t %>% filter(`Pitcher.Name` == input$player)
+        t %>% filter(`Pitcher Name` == input$player)
       } else if(hand == "LHH") {
-        t %>% filter(bhand == "L", `Pitcher.Name` == input$player)
+        t %>% filter(bhand == "L", `Pitcher Name` == input$player)
       } else {
-        t %>% filter(bhand == "R", `Pitcher.Name` == input$player)
+        t %>% filter(bhand == "R", `Pitcher Name` == input$player)
       }
       
       data %>%
@@ -160,7 +165,7 @@ server <- function(input, output, session) {
         session = session,
         inputId = "player", 
         label = "Select Player:", 
-        choices = unique(t$`Pitcher.Name`),
+        choices = unique(t$`Pitcher Name`),
         selected = NULL
       )
     }, error = function(e) {
@@ -173,7 +178,7 @@ server <- function(input, output, session) {
     tryCatch({
       t <- pname()
       d <- t |>
-        filter(`Pitcher.Name` == input$player)
+        filter(`Pitcher Name` == input$player)
       updateSelectInput(
         session = session,
         inputId = "pitch1",