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Instructions for installing/using Docker

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Yotam Mann 2016-11-29 12:22:33 -05:00
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README.md
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@ -19,6 +19,8 @@ A.I. Duet is composed of two parts, the front-end which is in the 'static' folde
## DOCKER ## DOCKER
[Docker](https://www.docker.com/) is an open-source containerization software which simplifies installation across various OSes. It is the simplest method to build and install both the front-end and back-end components. Once you have Docker installed, you can just run:
```bash ```bash
$ sudo docker build -t ai-duet . $ sudo docker build -t ai-duet .
$ sudo docker run -t -p 8080:8080 ai-duet $ sudo docker run -t -p 8080:8080 ai-duet
@ -28,7 +30,7 @@ You can now play with A.I. Duet at [localhost:8080](http://localhost:8080).
## FRONT END ## 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: If you installed with Docker, the front-end has already been built. To build the client-side javascript outside of Docker, 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:
```bash ```bash
cd static cd static
@ -43,6 +45,8 @@ webpack -p
### BACK END ### BACK END
If you installed with Docker, the these dependencies have already been installed. To build the back-end separately, follow these instructions:
The back-end consists of a [Flask](http://flask.pocoo.org/) server, [TensorFlow](https://www.tensorflow.org/) and [Magenta](https://github.com/tensorflow/magenta). The back-end consists of a [Flask](http://flask.pocoo.org/) server, [TensorFlow](https://www.tensorflow.org/) and [Magenta](https://github.com/tensorflow/magenta).
First install [TensorFlow](https://www.tensorflow.org/versions/master/get_started/os_setup.html) and [Magenta](https://github.com/tensorflow/magenta#installation). First install [TensorFlow](https://www.tensorflow.org/versions/master/get_started/os_setup.html) and [Magenta](https://github.com/tensorflow/magenta#installation).