ale/aiexperiments-ai-duet
1
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Instructions for installing/using Docker

Browse Source
This commit is contained in:
Yotam Mann 2016-11-29 12:22:33 -05:00
parent 36a177b7b3
commit 531058d51c
1 changed files with 6 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
README.md
View File

@ -11,7 +11,7 @@ This is not an official Google product.
## CREDITS
Built by [Yotam Mann](https://github.com/tambien) with friends on the Magenta and Creative Lab teams at Google. It uses [Tone.js] (https://github.com/Tonejs/Tone.js) and open-source tools from the [Magenta](https://github.com/tensorflow/magenta) project. Check out more at [A.I. Experiments] (https://aiexperiments.withgoogle.com).
Built by [Yotam Mann](https://github.com/tambien) with friends on the Magenta and Creative Lab teams at Google. It uses [Tone.js](https://github.com/Tonejs/Tone.js) and open-source tools from the [Magenta](https://github.com/tensorflow/magenta) project. Check out more at [A.I. Experiments](https://aiexperiments.withgoogle.com).
## OVERVIEW
@ -19,6 +19,8 @@ A.I. Duet is composed of two parts, the front-end which is in the 'static' folde
## 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
$ sudo docker build -t 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
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
cd static
@ -43,6 +45,8 @@ webpack -p
### 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).
First install [TensorFlow](https://www.tensorflow.org/versions/master/get_started/os_setup.html) and [Magenta](https://github.com/tensorflow/magenta#installation).