# Create Lambda functions using Ground Truth templates


You can create a Lambda function using the Lambda console, the AWS CLI, or an AWS SDK in a supported programming language of your choice. Use the AWS Lambda Developer Guide to learn more about each of these options:
+ To learn how to create a Lambda function using the console, see [Create a Lambda function with the console](https://docs.aws.amazon.com/lambda/latest/dg/getting-started-create-function.html).
+ To learn how to create a Lambda function using the AWS CLI, see [Using AWS Lambda with the AWS Command Line Interface](https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-awscli.html).
+ Select the relevant section in the table of contents to learn more about working with Lambda in the language of your choice. For example, select [Working with Python](https://docs.aws.amazon.com/lambda/latest/dg/lambda-python.html) to learn more about using Lambda with the AWS SDK for Python (Boto3).

Ground Truth provides pre-annotation and post-annotation templates through an AWS Serverless Application Repository (SAR) *recipe*. Use the following procedure to select the Ground Truth recipe in the Lambda console.

**Use the Ground Truth SAR recipe to create pre-annotation and post-annotation Lambda functions:**

1. Open the [**Functions** page](https://console.aws.amazon.com/lambda/home#/functions) on the Lambda console.

1. Select **Create function**.

1. Select **Browse serverless app repository**.

1. In the search text box, enter **aws-sagemaker-ground-truth-recipe** and select that app.

1. Select **Deploy**. The app may take a couple of minutes to deploy. 

   Once the app deploys, two functions appear in the **Functions** section of the Lambda console: `serverlessrepo-aws-sagema-GtRecipePreHumanTaskFunc-<id>` and `serverlessrepo-aws-sagema-GtRecipeAnnotationConsol-<id>`. 

1. Select one of these functions and add your custom logic in the **Code** section.

1. When you are finished making changes, select **Deploy** to deploy them.