AutoContentHub.com

Concept

This project creates lambda functions that runs periodically to ask ChatGPT to create new content and deploy it to a static website.

Structure of the project

autocontenthub/
├── frontend/
│   ├─ Lambda that creates the main static pages of the websites and deploy it to S3

├── generator/
│   ├─ Lambda that calls ChatGPT to generate new content

├── static/
│   ├─ Some static pages : default index.html, error.html and load.html to display ChatGPT generated content with the proper CSS theme

├── terraform/
│   ├─ Deploy infra to AWS 

Infrastructure

This project uses (among other things):

• AWS Lambda : to generate new content using ChatGPT
• EventBridge : to schedule lambdas
• DynamoDB : to store a description of generated content
• S3 : to store content generated
• Cloudfront / route 53 to serve the website

Generate a new section of content

To generate a new type of content, adds an object in variable contents in terraform/variables.tf

contents = {
    <new_section> = "<prompt>"
}

It will create a new EventBridge event that will trigger the lambda and send the prompt to ChatGPT to generate the content at the fixed schedule.

New section will be available at route /<new_section> of the website.

Appendix

• Create static webpage using terraform
• Deploy a lambda
• Use secrets in Lambda
• OpenAI API reference
• Configuring a static website using a custom domain registered with Route 53 Setup an S3-CloudFront Website with Terraform Use an Amazon CloudFront distribution to serve a static website