The world of AI-powered applications is rapidly evolving, making it easier than ever for developers to bring innovative ideas to life. In this article, we'll explore how to build a short story generator using AWS Bedrock and the Amplify AI Kit. We'll walk through the implementation process, discuss the underlying architecture, and highlight the benefits of using serverless infrastructure for such projects.
The initial goal was to create an application that could generate short stories based on user-defined parameters such as genre, tone, and style. Leveraging the Amplify AI Kit, which simplifies the integration of AI services into full-stack applications, proved to be surprisingly efficient.
The development process can be broken down into the following steps:
Initial Setup: Following the AWS documentation for a recipe assistant provided a solid foundation. This tutorial helped in understanding the basic structure and functionalities of the Amplify AI Kit.
Customization: The application was tailored to generate stories by adding UI elements that allowed users to select their preferred:
Schema Modification: The Amplify data resources were modified to define the arguments, returns, and the system prompt, which guides the AI model in generating appropriate content.
const schema = a.schema({
generateShortStory: a.generation({
aiModel: a.ai.model('Claude 3.5 Sonnet'),
systemPrompt: "You are a story-teller that generates short, engaging stories based on user-provided themes or genres. Each story should have a clear structure: an introduction to set the stage, a middle to develop the plot, a twist to surprise the reader, and a satisfying ending. The characters should be fictional, with at least one relatable protagonist. Adapt the tone and style based on user input. Ensure the story is concise and self-contained.",
}) .arguments({
genre: a.string(),
tone: a.string(),
style: a.string(),
}) .returns( a.customType({
numberOfParagraphs: a.integer(),
story: a.string(),
}) )
.authorization((allow) => allow.authenticated()),
})
UI Tweaks: Minor adjustments were made to the user interface to enhance the overall look and feel of the application.
The application's architecture is a testament to the power and scalability of AWS serverless infrastructure. The Amplify AI Kit abstracts much of the complexity involved in setting up and managing these services.
Key components of the architecture include:
In this specific implementation, AWS AppSync directly communicates with Bedrock via HTTP requests, streamlining the process and reducing the need for intermediate services like Lambda or DynamoDB. This simplified architecture enhances performance and reduces operational overhead.
Building a short story generator with AWS Bedrock and Amplify AI Kit is a testament to the advancements in AI and cloud technologies. The speed and ease with which this application was developed highlight the potential for developers to create innovative solutions with minimal effort. As AI continues to evolve, platforms like AWS are empowering developers to push the boundaries of what's possible.
If you're interested in exploring the code, you can find the POC repository on GitHub.
Consider expanding your knowledge with resources such as AWS Training, and explore the Serverless Guru blog for more insights into serverless development.
