Add Dockerfile (#7)

Author: GoshaGreen

Dockerfile

@@ -0,0 +1,28 @@
+FROM ubuntu:latest
+
+COPY . ./app
+WORKDIR /app
+
+RUN apt update; apt install -y wget lsb-release software-properties-common gnupg curl ca-certificates
+
+RUN wget -qO- https://apt.llvm.org/llvm.sh | bash -s -- 21
+RUN apt install -y libmlir-21-dev mlir-21-tools 
+
+RUN curl -fsSL https://deb.nodesource.com/setup_20.x | bash -
+RUN apt install -y nodejs
+RUN npm install
+
+RUN add-apt-repository -y ppa:deadsnakes/ppa; apt install -y python3-pip python3.11-venv
+
+RUN python3.11 -m venv mlir_venv
+
+RUN mlir_venv/bin/pip install --upgrade pip
+RUN mlir_venv/bin/pip install --pre torch-mlir torchvision \
+      --extra-index-url https://download.pytorch.org/whl/nightly/cpu \
+        -f https://github.com/llvm/torch-mlir-release/releases/expanded_assets/dev-wheels
+
+RUN mlir_venv/bin/pip install fastapi uvicorn pytest httpx
+
+EXPOSE 3000 8000
+
+CMD ["npm", "run", "start:all"]

README.md

@@ -78,6 +78,19 @@ npm run start:all
 
 Then open http://localhost:3000/ in your browser and enjoy!
 
+### Run in a docker
+
+Build image with:
+
+```bash
+docker build -t pytorch_explorer .
+```
+
+Run it:
+```bash
+docker run -p 3000:3000 -p 8000:8000 pytorch_explorer
+```
+
 ### Run the tests
 
 With the application (or just backend) started, run: