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OpenAI Chat Vaadin App

This is a small sample how to use OpenAI chat completion API in Vaadin and Spring Boot to create a own version of ChatGPT app using the Vaadin components like MessageList and MessageInput.

Read more about how the application was built in this blog post: Building a Chatbot in Vaadin with OpenAI

Vaadin is a web application development framework that allows developers to create rich, interactive web interfaces with Java. It provides pre-built UI components, simplified data binding, and server-side processing for a seamless development experience.

open-ai-vaadin-chat

Running the application

To run this application locally you need to get OpenAI API key and update the open.apikey in you src/main/resources/application.properties.

The project is a standard Maven project. To run it from the command line, type OPENAI_APIKEY=your_key_here mvnw (Windows), or OPENAI_APIKEY=your_key_here ./mvnw (Mac & Linux), then open http://localhost:8080 in your browser.

You can also import the project to your IDE of choice as you would with any Maven project. Read more on how to import Vaadin projects to different IDEs (Eclipse, IntelliJ IDEA, NetBeans, and VS Code).

Deploying to Production

To create a production build, call mvnw clean package -Pproduction (Windows), or ./mvnw clean package -Pproduction (Mac & Linux). This will build a JAR file with all the dependencies and front-end resources, ready to be deployed. The file can be found in the target folder after the build completes.

Once the JAR file is built, you can run it using java -jar target/vaadin-openai-chat-1.0-SNAPSHOT.jar

Project structure

  • MainLayout.java in src/main/java contains the navigation setup (i.e., the side/top bar and the main menu). This setup uses App Layout.
  • views package in src/main/java contains the server-side Java views of your application.
  • views folder in frontend/ contains the client-side JavaScript views of your application.
  • themes folder in frontend/ contains the custom CSS styles.

Useful links

Deploying using Docker

To build the Dockerized version of the project, run

mvn clean package -Pproduction
docker build . -t vaadin-openai-chat:latest

Once the Docker image is correctly built, you can test it locally using

docker run -p 8080:8080 vaadin-openai-chat:latest