Merge pull request #6 from python273/add_dockerfile

Add Dockerfile

Dockerfile

@@ -0,0 +1,35 @@
+FROM ubuntu:14.04
+
+RUN apt-get update && apt-get install -y \
+    pkg-config \
+    libpng-dev \
+    libjpeg8-dev \
+    libfreetype6-dev \
+    libblas-dev \
+    liblapack-dev \
+    libatlas-base-dev \
+    gfortran \
+    python \
+    python-dev \
+    python-pip \
+    curl && \
+    curl -sL https://deb.nodesource.com/setup_7.x | sudo -E bash - && \
+    apt-get install -y nodejs
+
+RUN npm install webpack -g
+
+RUN pip install -U https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc2-cp27-none-linux_x86_64.whl && \
+    pip install magenta ipython
+
+COPY ./server/requirements.txt /tmp/
+RUN pip install -r /tmp/requirements.txt
+
+COPY . /src/
+
+WORKDIR /src/static/
+RUN npm install && webpack -p
+
+WORKDIR /src/server/
+
+EXPOSE 8080
+ENTRYPOINT python server.py

README.md

@@ -17,6 +17,15 @@ Built by [Yotam Mann](https://github.com/tambien) with friends on the Magenta an
 
 A.I. Duet is composed of two parts, the front-end which is in the 'static' folder and the back-end which is in the 'server' folder. The front-end client creates short midi files using the user's input which is sent to the server. The server takes that midi input and continues it using [Magenta](https://github.com/tensorflow/magenta) which is then returned back to the client. 
 
+## DOCKER
+
+```bash
+$ sudo docker build -t ai-duet .
+$ sudo docker run -t -p 8080:8080 ai-duet
+```
+
+You can now play with A.I. Duet at [localhost:8080](http://localhost:8080).
+
 ## FRONT END
 
 To build the client-side javascript, first install [node](https://nodejs.org) and [webpack](https://webpack.github.io/). Then you can install of the dependencies of the project by typing the following in the terminal: