Merge pull request #5 from posit-conf-2023/gha

.github/workflows/docs.yml

@@ -3,11 +3,41 @@ name: "Deploy docs to GHPages"
 on:
   workflow_dispatch:
   push:
-    branches: ['main', 'gh*']
+    branches: ['main']
 
 jobs:
   build-deploy:
     runs-on: ubuntu-latest
     steps:
       - name: Check out repository
         uses: actions/checkout@v3
+
+      - name: Set up Quarto
+        uses: quarto-dev/quarto-actions/setup@v2
+        with:
+          version: 1.3.340
+
+      - name: Setup R
+        uses: r-lib/actions/setup-r@v2
+        with:
+          use-public-rspm: true
+
+      - name: R Dependencies
+        uses: r-lib/actions/setup-r-dependencies@v2
+
+      - name: Setup Python
+        uses: actions/setup-python@v2
+        with:
+          python-version: '3.10'
+
+      - name: Python dependencies
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install -r python-req.txt
+
+      - name: Render and publish to GitHub Pages (and render)
+        uses: quarto-dev/quarto-actions/publish@v2
+        with:
+          target: gh-pages
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

DESCRIPTION

@@ -0,0 +1,28 @@
+Package: positconf2023-vetiver-workshop
+Title: positconf2023 vetiver workshop
+Version: 0.1
+Authors@R: c(
+    person("Julia", "Silge", , "[email protected]", role = c("cre", "aut"),
+           comment = c(ORCID = "0000-0002-3671-836X")),
+    person("Isabel", "Zimmerman", , "[email protected]", role = "aut"),
+    person("RStudio", role = c("cph", "fnd"))
+  )
+License: MIT
+Depends: 
+    R (>= 3.1.0)
+Imports: 
+    countdown,
+    gt,
+    partykit,
+    pins,
+    plumber,
+    ranger,
+    reticulate,
+    rmarkdown,
+    rsample (>= 1.1.1),
+    tidymodels,
+    tidyverse,
+    vetiver
+Encoding: UTF-8
+Remotes:  
+    tidymodels/rsample

python-req.txt

@@ -0,0 +1,6 @@
+vetiver==0.2.1
+scikit-learn
+pins
+pandas
+pydantic<2.0.0
+ipython

requirements.txt

@@ -1,3 +1,7 @@
 vetiver
 plotnine
+pandas
+numpy
+scikit-learn
+dotenv-python
 pydantic==1.10.11

slides/01-introduction.qmd

@@ -204,6 +204,7 @@ you likely *should* be the one to operationalize that model!
 
 ```{r}
 #| echo: false
+library(countdown)
 countdown(minutes = 3)
 ```
 
@@ -293,7 +294,8 @@ This histogram brings up a concern. What if we split our data into training/test
 ## 
 
 
-```{python}
+```{python, execute=FALSE}
+#| eval: false
 #| fig-align: 'center'
 from plotnine import ggplot, aes, geom_boxplot, coord_flip
 (ggplot(abalone, aes('sex', 'rings', fill='sex')) 

slides/02-deploy.qmd

@@ -43,6 +43,7 @@ library(tidyverse)
 library(tidymodels)
 library(vetiver)
 library(pins)
+library(countdown)
 
 abalone <- read_csv("abalone.csv")
 
@@ -100,6 +101,7 @@ board |> vetiver_pin_write(v)
 ```{python}
 #| eval: false
 from vetiver import VetiverModel, vetiver_pin_write
+from pins import board_connect
 import os
 from dotenv import load_dotenv
 load_dotenv()
@@ -237,6 +239,7 @@ jsonlite::fromJSON(metadata)
 ### Python
 
 ```{python}
+#| eval: false
 board.pin_meta("isabel.zimmerman/test_model").user
 ```
 

slides/04-monitor.qmd

@@ -34,6 +34,7 @@ We made it! 🎉
 
 ```{r}
 #| echo: false
+library(countdown)
 countdown(minutes = 5)
 ```