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README.md

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@@ -28,16 +28,16 @@ If you need help using or installing Jupyter Notebook Viewer, please use the [ju
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If you have `docker` installed, you can pull and run the currently built version of the Docker container by
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```shell
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$ docker pull jupyter/nbviewer
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$ docker run -p 8080:8080 jupyter/nbviewer
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docker pull jupyter/nbviewer
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docker run -p 8080:8080 jupyter/nbviewer
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```
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It automatically gets built with each push to `master`, so you'll always be able to get the freshest copy.
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For speed and friendliness to GitHub, be sure to set `GITHUB_OAUTH_KEY` and `GITHUB_OAUTH_SECRET`:
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```shell
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$ docker run -p 8080:8080 -e 'GITHUB_OAUTH_KEY=YOURKEY' \
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docker run -p 8080:8080 -e 'GITHUB_OAUTH_KEY=YOURKEY' \
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-e 'GITHUB_OAUTH_SECRET=YOURSECRET' \
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jupyter/nbviewer
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```
@@ -52,7 +52,7 @@ The relevant [API endpoints for GitHub Enterprise](https://developer.github.com/
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You must also specify your `OAUTH` or `API_TOKEN` as explained above. For example:
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```shell
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$ docker run -p 8080:8080 -e 'GITHUB_OAUTH_KEY=YOURKEY' \
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docker run -p 8080:8080 -e 'GITHUB_OAUTH_KEY=YOURKEY' \
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-e 'GITHUB_OAUTH_SECRET=YOURSECRET' \
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-e 'GITHUB_API_URL=https://ghe.example.com/api/v3/' \
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jupyter/nbviewer
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#### Build
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```shell
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$ cd <path to repo>
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$ docker build -t nbviewer .
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cd <path to repo>
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docker build -t nbviewer .
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```
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#### Run
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```shell
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$ cd <path to repo>
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$ docker run -p 8080:8080 nbviewer
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cd <path to repo>
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docker run -p 8080:8080 nbviewer
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```
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### With Docker Compose
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#### Run
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```shell
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$ cd <path to repo>
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$ pip install docker-compose
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$ docker-compose up
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cd <path to repo>
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pip install docker-compose
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docker-compose up
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```
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