GPT is a language model developed by OpenAI, which is extremely powerful and can perform various tasks, including chatbot interactions, speech to text, and generating images, among others. In this article, we will focus on using Spring Boot to invoke the ChatGPT API for chat completion.
To get started, we need to use the Java Community Library provided by OpenAI. You can find the library on the OpenAI website under the ‘Developers’ section. Scroll down to the Java section and click on the ‘openai’ library by Theo Kanning. This library abstracts a lot of the work and makes development very easy.
Once you have the library, you can start generating your Spring Boot project. Go to start.spring.io and choose Maven as the build tool. Add the ‘Spring Web’ dependency and generate the project.
Next, you need to add the OpenAI model and API key to your application.properties file. The model we will be using is GPT 3.5 Turbo. You can obtain the API key from your OpenAI account.
Now, let’s create a REST controller in our project. We will create a ‘chat’ endpoint that takes a prompt as a request parameter. Inside the controller, we will use the OpenAI service to make a chat completion request. We can customize the behavior of the response by specifying parameters such as temperature and the number of alternate responses.
Finally, we can run our application and test the chat endpoint. We can send a prompt to the endpoint and receive a response from the ChatGPT API.
In this article, we covered the basics of using GPT to invoke the ChatGPT API for chat completion. We created a Spring Boot app and used the OpenAI Java library to make the API call. This allows us to leverage the power of GPT for chat interactions in our applications. Thank you for reading!
