Update app.R to use RSQLite instead of duckdb

app.R

@@ -1,58 +1,58 @@
-# ISA 401 OEWS Jobs Explorer
-# A Shiny app for exploring U.S. Occupational Employment and Wage Statistics
-
-library(shiny)
-library(bslib)
-library(querychat)
-library(DT)
-library(dplyr)
-library(duckdb)
-
-# Load preprocessed data
-oews <- readRDS("data/oews.rds")
-
-# Step 1: Create QueryChat object
-client = ellmer::chat_openai(
-  model = "gpt-5-mini-2025-08-07",
-  credentials = function(){return(Sys.getenv("OPENAI_API_KEY"))}
-)
-
-qc = querychat::querychat(
-  oews,
-  client = client,
-  greeting = "Welcome to Our ISA 401 Assistant for Understanding the OEWS Dataset",
-  extra_instructions = "data/extra_instructions.md",
-  data_description = 'data/data_desc.md'
-)
-
-## Based on the documentation:
-# https://posit-dev.github.io/querychat/r/articles/build.html#programmatic-filtering
-
-# Step 2: Add UI component
-ui <- bslib::page_sidebar(
-  sidebar = qc$sidebar(),
-  bslib::card(
-    bslib::card_header("Data Table"),
-    DT::DTOutput("table")
-  ),
-  bslib::card(
-    fill = FALSE,
-    bslib::card_header("SQL Query"),
-    shiny::verbatimTextOutput("sql")
-  )
-)
-
-# Step 3: Use reactive values in server
-server <- function(input, output, session) {
-  qc_vals <- qc$server()
-  
-  output$table <- DT::renderDT({
-    DT::datatable(qc_vals$df(), fillContainer = TRUE)
-  })
-  
-  output$sql <- shiny::renderText({
-    qc_vals$sql() %||% "SELECT * FROM oews"
-  })
-}
-
-shiny::shinyApp(ui, server)
+# ISA 401 OEWS Jobs Explorer
+# A Shiny app for exploring U.S. Occupational Employment and Wage Statistics
+
+library(shiny)
+library(bslib)
+library(querychat)
+library(DT)
+library(dplyr)
+library(RSQLite)
+
+# Load preprocessed data
+oews <- readRDS("data/oews.rds")
+
+# Step 1: Create QueryChat object
+client = ellmer::chat_openai(
+  model = "gpt-5-mini-2025-08-07",
+  credentials = function(){return(Sys.getenv("OPENAI_API_KEY"))}
+)
+
+qc = querychat::querychat(
+  oews,
+  client = client,
+  greeting = "Welcome to Our ISA 401 Assistant for Understanding the OEWS Dataset",
+  extra_instructions = "data/extra_instructions.md",
+  data_description = 'data/data_desc.md'
+)
+
+## Based on the documentation:
+# https://posit-dev.github.io/querychat/r/articles/build.html#programmatic-filtering
+
+# Step 2: Add UI component
+ui <- bslib::page_sidebar(
+  sidebar = qc$sidebar(),
+  bslib::card(
+    bslib::card_header("Data Table"),
+    DT::DTOutput("table")
+  ),
+  bslib::card(
+    fill = FALSE,
+    bslib::card_header("SQL Query"),
+    shiny::verbatimTextOutput("sql")
+  )
+)
+
+# Step 3: Use reactive values in server
+server <- function(input, output, session) {
+  qc_vals <- qc$server()
+  
+  output$table <- DT::renderDT({
+    DT::datatable(qc_vals$df(), fillContainer = TRUE)
+  })
+  
+  output$sql <- shiny::renderText({
+    qc_vals$sql() %||% "SELECT * FROM oews"
+  })
+}
+
+shiny::shinyApp(ui, server)