ci(docker): build and publish image to GHCR; docs: add GHCR pull/run instructions

Author: swoet

.github/workflows/docker-publish.yml

@@ -0,0 +1,53 @@
+name: docker-publish
+
+on:
+  push:
+    branches: [ master, main ]
+    tags: [ 'v*.*.*' ]
+
+permissions:
+  contents: read
+  packages: write
+
+env:
+  REGISTRY: ghcr.io
+  IMAGE_NAME: ${{ github.repository }}
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to the Container registry
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract metadata (tags, labels)
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.REGISTRY }}/${{ toLower(env.IMAGE_NAME) }}
+          tags: |
+            type=ref,event=branch
+            type=ref,event=tag
+            type=sha
+            type=raw,value=latest,enable={{is_default_branch}}
+
+      - name: Build and push
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}

README.md

@@ -93,7 +93,16 @@ docker build -t supportbot:latest .
 # Persist DB to a local folder (PowerShell)
 mkdir data
 # Run container (maps http://localhost:8000)
-docker run --rm -p 8000:8000 -v ${PWD}\data:/data -e CHATBOT_DB_PATH=/data/database.sqlite3 supportbot:latest
+docker run --rm -p 8000:8000 -v ${PWD}\\data:/data -e CHATBOT_DB_PATH=/data/database.sqlite3 supportbot:latest
+```
+
+Or pull a published image from GHCR (after the CI publishes at least once):
+
+```bash
+# Pull latest image
+docker pull ghcr.io/swoet/ai-driven-chatbot-python-chatterbot-:latest
+# Run it
+docker run --rm -p 8000:8000 -v ${PWD}\\data:/data -e CHATBOT_DB_PATH=/data/database.sqlite3 ghcr.io/swoet/ai-driven-chatbot-python-chatterbot-:latest
 ```
 
 Stop with Ctrl+C and the DB remains in the local data folder.