Editing Openai/694ab010-3e7c-8000-b0e8-b98c22b7a063 (section)

=== This requires: ===
* EC2 has an IAM role allowing ECR actions
* AWS CLI installed on EC2 (not laptop)

==== <syntaxhighlight lang="bash">sudo apt-get update ====
sudo apt-get install -y awscli
aws --version

</syntaxhighlight>

Confirm the instance role works:

<syntaxhighlight lang="bash">aws sts get-caller-identity

</syntaxhighlight>

If this fails, your instance does not have a role with permissions.

==== <syntaxhighlight lang="bash">export AWS_REGION="us-east-1" ====

</syntaxhighlight>

==== <syntaxhighlight lang="bash">aws ecr create-repository --repository-name ml-chatbot --region "$AWS_REGION" >/dev/null || true ====

</syntaxhighlight>

Get your account ID:

<syntaxhighlight lang="bash">ACCOUNT_ID=$(aws sts get-caller-identity --query Account --output text)
echo $ACCOUNT_ID

</syntaxhighlight>

Set repo URI:

<syntaxhighlight lang="bash">ECR_URI="$ACCOUNT_ID.dkr.ecr.$AWS_REGION.amazonaws.com/ml-chatbot"
echo $ECR_URI

</syntaxhighlight>

==== <syntaxhighlight lang="bash">aws ecr get-login-password --region "$AWS_REGION" \ ====
| docker login --username AWS --password-stdin "$ACCOUNT_ID.dkr.ecr.$AWS_REGION.amazonaws.com"

</syntaxhighlight>

==== <syntaxhighlight lang="bash">docker tag ml-chatbot:latest "$ECR_URI:latest" ====
docker push "$ECR_URI:latest"

</syntaxhighlight>

Now the image is stored in ECR.