Dockerize

.github/workflows/docker.yml

@@ -0,0 +1,27 @@
+name: Docker
+
+on:
+  push:
+    branches: [ main ]
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+
+      - name: Login to Docker Hub
+        uses: docker/login-action@v1
+        with:
+          username: ${{ secrets.DOCKER_HUB_USERNAME }}
+          password: ${{ secrets.DOCKER_HUB_TOKEN }}
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v1
+
+      - name: Build and push
+        uses: docker/build-push-action@v2
+        with:
+          context: .
+          push: true
+          tags: ${{ secrets.DOCKER_HUB_USERNAME }}/blockprint:latest

Dockerfile

@@ -0,0 +1,12 @@
+FROM python:3.9-slim
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+EXPOSE 8000
+
+CMD ["gunicorn", "api_server:app", "--bind", "0.0.0.0:8000", "--timeout", "1800"]

README.md

@@ -104,6 +104,19 @@ If you then want to use the classifier to build an sqlite database:
 ```
 gunicorn api_server:app --timeout 1800
 ```
+### Running with Docker
+
+Build the Docker image:
+```
+docker build -t blockprint .
+```
+
+Run the container (mapping port 8000 to host):
+```
+docker run -p 8000:8000 blockprint
+```
+
+The API will be available at http://localhost:8000
 
 It will take a few minutes to start-up while it loads all of the training data into memory.