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Building a Translation Application with Spring Boot, OpenAI (ChatGPT), Thymeleaf, and jQuery

With the advent of AI-powered translation services, businesses and developers can integrate robust translation features into their applications. In this article, we will build a simple text translation application using Spring Boot, OpenAI’s ChatGPT API, Thymeleaf, and jQuery.

Project Setup

Create a Spring Boot project using Spring Initializr with the following dependencies: Spring Web, Thymeleaf, Lombok, etc. Once the project is set up, add the necessary dependencies in pom.xml.



Configure OpenAI API

To get an API Key and API URL for ChatGPT (OpenAI API), follow these steps:

1) Go to OpenAI and create an account.
2) After logging in, visit API Keys in your OpenAI account.
3) Click "Create API Key" and copy it.
4) The base URL for OpenAI's ChatGPT API is: https://api.openai.com/v1/chat/completions

Use this in your Spring Boot application. Make sure to keep your API key secure and avoid exposing it in public repositories.



Implement OpenAI Service

This class is a Spring Boot service (@Service) responsible for interacting with OpenAI's API to translate text using an AI model like GPT. System Role: Instructs the AI to act as a translator. User Input: Requests a translation into the targetLanguage.



Create a Controller

The TranslateController is a Spring MVC controller that handles translation requests. It serves the home page (index.html) via GET /, and processes translation requests via POST /translate. It uses OpenAIService to send user-input text to OpenAI's API for translation into the selected language, returning the translated text as a response.



Create a Frontend Using Thymeleaf & jQuery

This Bootstrap-powered webpage provides a clean and modern text translation interface.



Run and Test

Start the Spring Boot application: 




Source Code: GitHub
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