button

Dockerfile

@@ -3,12 +3,15 @@ FROM rocker/geospatial:latest
 WORKDIR /code
 
 RUN install2.r --error \
+    bsicons \
     bslib \
+    duckdbfs \
+    fontawesome \
+    gt \
+    markdown \
     shiny \
     shinychat \
-    tidyverse \
-    duckdbfs \
-    markdown
+    tidyverse
 
 RUN installGithub.r cboettig/mapgl tidyverse/ellmer
 

app.R

@@ -5,6 +5,10 @@ library(shinychat)
 library(mapgl)
 library(tidyverse)
 library(duckdbfs)
+library(fontawesome)
+library(bsicons)
+library(gt)
+duckdbfs::load_spatial()
 
 pmtiles <- "https://data.source.coop/cboettig/us-boundaries/mappinginequality.pmtiles"
 
@@ -13,21 +17,30 @@ ui <- page_sidebar(
 
   sidebar = sidebar(
 
-    textAreaInput("chat", 
-      "Ask me a question!", 
-      value = "Which state has the highest average social vulnerability?",
+    textAreaInput("chat",
+      span(bs_icon("robot", size = "1.5em"), "Ask me a question!"),
+      value = "Which county has the highest average social vulnerability?",
       width = "100%",
       height = 100
     ),
 
-    verbatimTextOutput("sql_code"),
-    textOutput("explanation"),
+    actionButton("user_msg", "Go!", icon = icon("paper-plane"), width = "50%"),
 
+
+    accordion(
+      open = FALSE,
+      accordion_panel("generated SQL Code",
+        verbatimTextOutput("sql_code"),
+      ),
+      accordion_panel("Explanation",
+        textOutput("explanation"),
+      )
+    ),
     input_switch("redlines", "Redlined Areas"),
     input_switch("svi", "Social Vulnerability", value = TRUE),
     input_switch("richness", "Biodiversity Richness"),
     input_switch("rsr", "Biodiversity Range Size Rarity"),
-  width = 300,
+  width = 350,
   ),
   titlePanel("Demo App"),
 
@@ -41,8 +54,9 @@ ui <- page_sidebar(
     col_widths = c(8,4)
   ),
 
-  tableOutput("table")
+  gt_output("table"),
 
+theme = bs_theme(version = "5")
 )
 
 svi <- "https://data.source.coop/cboettig/social-vulnerability/svi2020_us_tract.parquet" |>
@@ -56,7 +70,10 @@ system_prompt = glue::glue('
 You are a helpful agent who always replies strictly in JSON-formatted text.
 Your task is to translate the users question into a SQL query that will be run
 against the "svi" table in a duckdb database. The duckdb database has a
-spatial extension which understands PostGIS operations as well.
+spatial extension which understands PostGIS operations as well. 
+
+
+Be careful to limit any return to no more than 50 rows. 
 
 The table schema is <schema>
 
@@ -80,17 +97,19 @@ server <- function(input, output, session) {
     system_prompt = system_prompt
   )
 
-  observeEvent(input$chat, {
+  observeEvent(input$user_msg, {
     stream <- chat$chat(input$chat)
 
     chat_append("chat", stream)
     response <- jsonlite::fromJSON(stream)
 
-    output$sql_code <- renderText({response$query})
+    output$sql_code <- renderText({stringr::str_wrap(response$query, width=40)})
     output$explanation <- renderText({response$explanation})
 
     df <- DBI::dbGetQuery(con, response$query)
-    output$table <- renderTable(df, striped = TRUE)
+
+    df <- df |> select(-any_of("Shape"))
+    output$table <- render_gt(df, height=300)
 
   })