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+# ML4H Docker
+
+## Editing and pushing the docker
+
+To edit the packages inside the ML4H docker container, first edit:
+```
+ml4h/ml4h/docker/vm_boot_images/config/tensorflow-requirements.txt
+```
+Add a line for each package, with optional version numbers.
+
+Then, the docker container should be pushed to both the [Google Container Registry](https://console.cloud.google.com/gcr/images/broad-ml4cvd/GLOBAL/deeplearning) and the [Github GHCR Repository](https://github.com/broadinstitute/ml4h/pkgs/container/ml4h).
+
+For GHCR, you will to generate a [personal access token](https://github.com/settings/tokens) on github, and grant docker access:
+```
+docker login ghcr.io -u GITHUB_USERNAME -p ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+```
+
+Finally, use the ```jupyter.sh``` script to build, tag and push an ML4H image. Use ```-c``` for the CPU-only image:
+```
+cd ml4h
+./docker/vm_boot_images/build.sh -P
+./docker/vm_boot_images/build.sh -c -P
+```
+Note that each image will have two tags: a short unique SHA1 tag from ```HEAD```, and either ```tf2.9-latest-gpu``` or ```tf2.9-latest-cpu```.