DennisTraub/java-fm-playground

Explore how you can use Amazon Bedrock with Java in a dynamic environment! It includes a Spring Boot app and a Next.js frontend, perfect for learning and experimentation with generative AI on AWS.

☕ Java FM Playground

Welcome to the Java Foundation Model (FM) Playground, a sandbox for exploring Java integration with Amazon Bedrock.

🚨 Important: This application is for educational purposes and not intended for production use.

Overview

This repository includes a Spring Boot application and a Next.js frontend, both executable locally. Below is a screenshot of the app in action.

⚠ Important

• Running this application might result in charges to your AWS account. For more details, see Amazon Bedrock Pricing.
• This app is configured to run in us-east-1 and has not been tested in every AWS Region. For more information see AWS Regional Services.
• We recommend that you grant your code least privilege, i.e. only the minimum permissions required by the application. You can find an IAM Policy document with the required permissions in this repository at resources/bedrock-access-policy.json (display policy).

Prerequisites

Ensure you have the following installed:

• Java JDK 17+ (e.g. Amazon Corretto, a free distro of the JDK)
• Apache Maven for the backend server
• Node.js (v18.17+) for the frontend application
• You must have an AWS account, and have your default credentials and AWS Region configured as described in the AWS Tools and SDKs Shared Configuration and Credentials Reference Guide.
• You must request access to the models before you can use them. For more information, see Model access. To run the app, you need access to the following models in us-east-1:
  • Anthropic Claude
  • AI21 Labs Jurassic-2 Mid
  • Stability AI Stable Diffusion XL

Running the Application

After verifying the prerequisites, follow these steps:

Clone the repository

Open a terminal, navigate to a directory of your choice, and execute the following command:

git clone https://github.com/build-on-aws/java-fm-playground.git

Backend Setup

In the java-fm-playground/backend directory, run:

mvn spring-boot:run

Once the server is running, you will see the following output:

...
2023-11-13T14:19:02.862+01:00  INFO 34848 --- [main] o.s.b.w.embedded.tomcat.TomcatWebServer  : Tomcat started on port(s): 55500 (http) with context path ''
2023-11-13T14:19:02.868+01:00  INFO 34848 --- [main] a.c.e.b.SpringFmPlaygroundApplication    : Started SpringFmPlaygroundApplication in 1.415 seconds (process running for 1.659)

🛠 The backend runs on port 55500 by default. See below for port changes.

Frontend Setup

In a new terminal window, navigate to the frontend directory and install the packages required by running the following command:

npm install

After successful installation you can start the frontend application by executing the following command:

npm run dev

When the application is running, you will see the following output:

> frontend@0.1.0 dev
> next dev

   ▲ Next.js 14.0.0
   - Local:        http://localhost:3000

 ✓ Ready in 3.3s

Accessing the Application

Open http://localhost:3000 in your web browser to interact with the application.

Stopping the Application

To halt the application, you will need to stop both the backend and frontend processes.

Stopping the Frontend

In the terminal where the frontend is running, press Ctrl + C to terminate the process.

Stopping the Backend

Similarly, in the backend terminal, use the Ctrl + C shortcut to stop the server.

If you encounter any issues, you can forcefully terminate the processes by finding the process ID (PID) and using the kill command on Unix-based systems or Task Manager on Windows.

Using Different Ports

Change the backend port in the following files:

• backend/src/main/resources/application.yml
• frontend/app/app.config.js

To run the frontend on a different port:

npm run dev -- --port NEW_PORT

Troubleshooting

The AWS Region is hard-coded in the application. However, if your local AWS_REGION environment variable is set to a different region, the application may fail. In this case, please make sure to either unset AWS_REGION, or set it to us-east-1.

License

This library is licensed under the MIT-0 License. See the LICENSE file.

Security

See CONTRIBUTING for more information.