docker

.github/workflows/cife.yml

@@ -0,0 +1,44 @@
+name: Build and push DocsGPT-FE Docker image
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v1
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v1
+
+      - name: Login to DockerHub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKER_USERNAME }}
+          password: ${{ secrets.DOCKER_PASSWORD }}
+          
+      - name: Login to ghcr.io
+        uses: docker/login-action@v2
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GHCR_TOKEN }}
+
+      # Runs a single command using the runners shell
+      - name: Build and push Docker images to docker.io and ghcr.io
+        uses: docker/build-push-action@v2
+        with:
+          file: './frontned/Dockerfile'
+          platforms: linux/amd64
+          context: ./frontend
+          push: true
+          tags: |
+            ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:latest
+            ghcr.io/${{ github.repository_owner }}/docsgpt-fe:latest

README.md

@@ -55,6 +55,16 @@ Copy .env_sample and create .env with your openai api token
 4. Run the app
 `python app.py`
 
+To start frontend
+1. Navigate to `/frontend` folder
+2. Install dependencies
+`npm install`
+3. Run the app
+4. `npm run dev`
+
+Alternatively, you can use docker-compose to run the app via docker
+1. From the root folder run `docker-compose build && docker-compose up`
+
 
 [How to install the Chrome extension](https://github.com/arc53/docsgpt/wiki#launch-chrome-extension)