update the README for docker

docker/README.md

@@ -11,4 +11,152 @@ docker run -dp 5000:5000 -v $(pwd)/app.py:/app/app.py \
         pykoi/pykoi-cpu:app
 ```
 
-Note that we need to keep the exposed port as 5000 (default value) to make the server work. 
+Note that we need to keep the exposed port as 5000 (default value) to make the server work.
+
+# Launching Docker Hub `pykoi` Image
+You can also launch a `pykoi` image that has been released by `CambioML` on [Docker Hub](https://hub.docker.com/u/cambioml).
+
+## Running Docker on EC2 Instance
+For best performance, it is recommended to run the `pykoi` Docker images on an EC2.
+
+### EC2 Setup
+To run a `pykoi` Docker container, launch a GPU instance with the following config:
+- EC2 `g4dn.xlarge` or `p3.8xlarge` (if you want to run a pretrained LLM with 7B parameters)
+- Deep Learning AMI PyTorch GPU 2.0.1 (Ubuntu 20.04)
+<img src="../example/image/readme_ec2_ami.jpg" alt="Alt text" width="50%" height="50%"/>
+- EBS: at least 100G
+<img src="../example/image/readme_ec2_storage.png" alt="Alt text" width="50%" height="50%"/>
+
+### Installing Docker on your EC2
+1. First, in your EC2 terminal apply any updates:
+```
+sudo yum update
+```
+
+2. Search for the Docker package:
+```
+sudo yum search docker
+```
+3. Get the version information
+```
+sudo yum info docker
+```
+4. Install docker by running the following:
+```
+sudo yum install docker
+```
+5. Add group membership for the default ec2-user so you can run all docker commands without using the sudo command:
+```
+sudo usermod -a -G docker ec2-user
+id ec2-user
+# Reload a Linux user's group assignments to docker w/o logout
+newgrp docker
+```
+6. Enable docker service at AMI boot time:
+```
+sudo systemctl enable docker.service
+```
+7. Start the Docker service:
+```
+sudo systemctl start docker.service
+```
+#### Verifying Docker Installation
+Verify the `Docker` installation by the checking the `docker` service status:
+```
+sudo systemctl status docker.service
+```
+
+Next, you can check the version:
+```
+docker version
+```
+
+Finally, you can run the `Docker` hello-world image:
+```
+docker run hello-world
+```
+
+If the installation is successful, you will see a message indicating that Docker is working correctly.
+
+### Custom Security for Port 5000
+In order to launch the running `pykoi` container in your browser, you must add a new rule to your `EC2` instance's security group for port 5000.
+
+First, go to the __Security__ tab, and click on the __security group__.
+<img src="../example/image/docker_security-group.png" alt="Selecting the EC2 security group." width="50%" height="50%"/>
+
+Then from the __Inbound rules__ tab, select the __Edit inbound rules__ button.
+<img src="../example/image/docker_ec2-inbound-rules.png" alt="Selecting the EC2 security group." width="50%" height="50%"/>
+
+Next, click on the __Add rule__ button.
+
+<img src="../example/image/docker_ec2-add-rule.png" alt="Selecting the EC2 security group." width="50%" height="50%"/>
+
+Fill out the rule as shown here:
+
+<img src="../example/image/docker_ec2-create-rule.png" alt="Selecting the EC2 security group." width="50%" height="50%"/>
+
+Finally save the rule. This may take a bit to take effect, but once this is working and your `pykoi` Docker instance is running, you should be able to acces it at the Public IPv4 DNS at port 5000.
+```
+http://ec2-XX-XXX-XX-XXX.YOUR-REGION.compute.amazonaws.com:5000
+```
+## Pulling and Running a Docker Container
+### Pulling the Docker Repo
+To pull a Docker Container, first locate the repository on the [CambioML Docker Hub](https://hub.docker.com/u/cambioml).
+
+Then, you can pull the instance by repo by running the following command:
+```
+docker pull [REPO_NAME]
+```
+
+This will just pull the latest repository.
+
+If you want to specify a version, just add a `:[TAG]` to the end.
+
+```
+docker pull [REPO_NAME]:[TAG]
+```
+
+For example, to pull the latest `cambioml/pykoi` repository, you can run this command:
+```
+docker pull cambioml/pykoi
+```
+### Running the Docker Image
+To run the Docker image, you can use the following command, with different options depending on which repository you are running.
+```
+docker run -d -e [ENV_NAME]=[ENV_VALUE] -p 5000:5000 --name [CUSTOM_CONTAINER_NAME] [DOCKER_REPO_NAME]:[TAG]
+```
+- `-d`: specifies to run the container in the background
+- `-e`: specifies any environment variables to use
+- `-p`: specifies the port binding. Default `CambioML` is to use port 5000
+- `--name`: A custom name for your container. If you don't specify, Docker will randomly generate one. It's best to create one so it's easy to remember to use for commands.
+
+For example, here is a command to run `cambioml\pykoi` version `0.1_ec2_linux`.
+```
+docker run -d -e RETRIEVAL_MODEL=mistralai/Mistral-7B-v0.1 -p 5000:5000 --name pykoi_test cambioml/pykoi:0.1_ec2_linux
+```
+
+If you are running it in the background, with a `-d` tag, you can check the logs using the following command:
+```
+docker logs [CONTAINER_NAME]
+```
+e.g. if my container is called `pykoi_test`, I would run this command:
+```
+docker logs pykoi_test
+```
+
+A container may take some time to build. Once it's done, you should see the following output:
+<img src="../example/image/docker_logs-running.png" alt="Selecting the EC2 security group." width="50%" height="50%"/>
+
+Now you can go to port 5000 to interact with the `pykoi` app!
+
+### Stopping a Container
+To stop a container, run the following command.
+```
+docker stop [CONTAINER_NAME]
+```
+
+### Deleting a Container
+To delete a container, run the following command.
+```
+docker rm [CONTAINER_NAME]
+```