> For the complete documentation index, see [llms.txt](https://docs.itheum.io/product-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.itheum.io/product-docs/pre-aithra/pre-aithra-integrators/data-streams-guides/amazon-web-services-aws/storage-aws-s3/data-nft-streaming-automation-multiple-files.md).

# Data NFT Streaming Automation - Multiple files

**Brief:**

For the purpose of minting a Data NFT, the minter is required to provide a Data Stream URL. Below is a brief on how a user can set up an automation sequence to publish and maintain a dynamic Data Stream. The below process uploads file assets that will become the Data Stream to AWS S3. The link can then be used to mint a Data NFT.

**Requirements:**

* GitHub account (create one if needed)
* AWS account (create one if needed)
* Git and GitHub CLI installed locally
* Python script that generates output files

**Steps:**

1. Initial Git setup and GitHub account login:
   * Set up Git on your local machine and log in to Git using your GitHub account credentials.
2. Create an AWS S3 bucket:
   * If you don't already have an AWS S3 bucket, create one as part of the setup process.
     * *Note: If you would like to use a custom domain name in front of your S3 bucket (mydomainname.com/my\_data\_stream.json), then please read this guide for specific naming instructions for your new S3 bucket :* [Task 2: Convert your AWS S3 Bucket into a "website"](/product-docs/pre-aithra/pre-aithra-integrators/data-streams-guides/amazon-web-services-aws/hosting-aws-s3-+-cloudflare/task-2-convert-your-aws-s3-bucket-into-a-website.md)
3. Create a GitHub repository:
   * Use the [provided template ](https://github.com/Itheum/template-datastream-aws-s3)to create a GitHub repository.
   * Clone the repository to your local machine for further configuration.
4. Set up secrets into your Github repo to access AWS:
   * In the repository's "Secrets and variables" section, configure three secrets:
     * S3\_BUCKET\_NAME: Provide the name of your AWS S3 bucket.
     * S3\_KEY\_ID: Set the AWS S3 access key ID.
     * S3\_ACCESS\_KEY: Set the AWS S3 access key.
5. Customize the script:
   * Adjust your Python script according to the provided template.
   * Ensure that the output files generated by the script are saved in the "output" folder of the repository.
6. Push changes to GitHub:
   * Push your script changes to the GitHub repository.
   * This action triggers the GitHub Action, which automatically runs the script daily at 23:30 UTC or whenever new code is pushed.

For more details and customization options, refer to the full documentation available at <https://github.com/Itheum/template-datastream-aws-s3>