Publish the dashboard on GitHub Pages with Shinylive

A new workflow builds app/ as a Shinylive app (R runs in the visitor's
browser via webR) and deploys it to GitHub Pages on every push to main.
It copies app.R, R/figure.R, data/ and images/ into one folder, exports
it with shinylive::export() and checks that the export contains the
webR packages the figure needs: shinylive leaves out packages that are
not installed where it runs. Pull requests only build and check.

The README links the online app and shows a screenshot. .gitignore
covers the build folders.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

Author: macromeer

.github/workflows/pages.yaml

@@ -0,0 +1,79 @@
+name: pages
+
+# Builds the dashboard (app/) as a Shinylive app, which runs R in the visitor's browser,
+# and publishes it on GitHub Pages
+# Pull requests only build and check the export; deploying happens from main.
+on:
+  push:
+    branches: [main]
+  pull_request:
+  workflow_dispatch:
+
+permissions:
+  contents: read
+  pages: write
+  id-token: write
+
+# one deployment at a time; a newer push waits instead of cancelling a running deployment
+concurrency:
+  group: pages
+  cancel-in-progress: false
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    env:
+      GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
+
+    steps:
+      - uses: actions/checkout@v7
+
+      - uses: r-lib/actions/setup-r@v2
+        with:
+          use-public-rspm: true
+
+      # shinylive bundles only packages that are installed here, so install all of the app's
+      # (the suggested ones in DESCRIPTION) plus shinylive itself
+      - uses: r-lib/actions/setup-r-dependencies@v2
+        with:
+          dependencies: '"all"'
+          extra-packages: any::shinylive
+
+      # the app finds R/figure.R, data/ and images/ next to app.R in the bundle
+      - name: Assemble the app
+        run: |
+          mkdir -p _build/app/R
+          cp app/app.R _build/app/
+          cp R/figure.R _build/app/R/
+          cp -r data images _build/app/
+
+      - name: Export with Shinylive
+        run: Rscript -e 'shinylive::export("_build/app", "_site", template_params = list(title = "Scientific figure dashboard"))'
+
+      - name: Check the export
+        run: |
+          test -f _site/index.html
+          test -f _site/app.json
+          for pkg in ggplot2 patchwork magick ragg svglite; do
+            test -d "_site/shinylive/webr/packages/$pkg" || { echo "$pkg was not bundled"; exit 1; }
+          done
+
+      - uses: actions/configure-pages@v6
+        if: github.ref == 'refs/heads/main'
+
+      - uses: actions/upload-pages-artifact@v5
+        if: github.ref == 'refs/heads/main'
+        with:
+          path: _site
+
+  deploy:
+    needs: build
+    if: github.ref == 'refs/heads/main'
+    runs-on: ubuntu-latest
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+
+    steps:
+      - id: deployment
+        uses: actions/deploy-pages@v5

.gitignore

@@ -0,0 +1,3 @@
+# dashboard build (see .github/workflows/pages.yaml)
+_build/
+_site/

README.md

@@ -30,6 +30,10 @@ install.packages(c("shiny", "bslib", "ragg"))
 shiny::runApp("app")
 ```
 
+The app is also online at **https://meer.solutions/scifig_plot_examples_R/**, built with [Shinylive](https://posit-dev.github.io/r-shinylive/) and published by a GitHub Actions workflow on every push to `main`. It runs R in your browser (WebAssembly), so nothing needs to be installed and uploaded data stay on your computer. The first visit downloads about 120 MB; after that, the browser cache makes it faster.
+
+![dashboard](dashboard.png)
+
 ## Layout
 
 | Path | Contents |