How to Incorporate Open AI Chat GPD APIs into Your Spring Boot Projects
Introduction
As a software engineer at Oral, I am excited to show you how to incorporate Open AI Chat GPD APIs into your Spring Boot projects. In this tutorial, we will dive into the steps required to integrate these APIs into your project.
Step 1: Generate Project
To begin, we need to create a project using the Spring Initializer website. Provide the group ID, artifact ID, and name. For this tutorial, we will use Maven as the build tool. Add the dependencies ‘spring-web’ and ’lombok’. Once generated, the archive will be downloaded to your ‘Downloads’ folder. Open the project in your IDE.
Step 2: Set Up Chat GPD API Secret Key
Next, visit the Open AI platform website and generate a secret key to work with Chat GPD. If you don’t have an account, create one first. Click on the profile icon and select ‘View API Keys’. Create a new secret key and copy it. Go to your IDE and paste it into the ‘application.yaml’ file under the ‘Ai’ and ‘secret’ properties.
Step 3: Create a Controller with Endpoint
Now, let’s create the structure of the project. Add a ‘controller’ folder and create an API controller class annotated with ‘RequestMapping’ and ‘RestController’ annotations. Create a demo endpoint that accepts requests from the user, processes them, and returns a response. Also, create a folder called ’entities’ and add an API request class to hold the text sent by the user.
Step 4: Endpoint Checkup
To check if our endpoint works properly, launch the project, open Postman, and execute a POST request to your endpoint’s URL. You should see a message from the logger in the console of the server.
Step 5: GPT Integration
Let’s start integrating with OpenAI’s GPT. Create a POJO class called ‘ChatGPTRequest’ to hold the data for the request to Chat GPD. It should have two properties: ‘model’ (string) and ‘messages’ (list of messages). Create a ‘ChatGPTResponse’ class to hold the data from Chat GPD. Update the ‘application.yaml’ file and add the API URL property.
Step 6: GPT Integration (Continued)
Create a service called ‘GPTRequestBuilder’ to convert our API request into a format understandable by Chat GPD API. Inject the AI secret and AI URL values from the ‘application.yaml’ file. Use the ‘RestTemplate’ class to make the request.
Step 7: Extend Request Entities
Add properties to the request entities. Add a string ‘ID’ property to identify the request response. Create a ‘Choice’ class to hold data for the choice data type. Create a ‘Message’ class to hold the response message from AI.
Step 8: GPT Request Builder Service
Provide the API URL and create a service called ‘GPTRequestBuilder’ to convert our API request into a format understandable by Chat GPD API. Use the ‘RestTemplate’ class to make the request.
Step 9: Authorized Server in Chat GPD API
Include the secret key in the request as an authorization header. Use the ‘HttpHeaders’ and ‘HttpEntity’ classes for post requests to Chat GPD API. Get a response entity back that will store the response from Chat GPD.
Step 10: Execute Request and Get ChatGPT Responses
Execute the request and get the ChatGPT responses. Create an API response class with a ‘response’ property to extract the response message from ChatGPT.
Conclusion
In this tutorial, we learned how to incorporate Open AI Chat GPD APIs into Spring Boot projects. We covered the steps required to generate a project, set up the Chat GPD API secret key, create a controller with an endpoint, check the endpoint, integrate with GPT, extend request entities, build the GPT request, authorize the server, execute the request, and get the ChatGPT responses. I hope this tutorial will be useful to you in your project. Stay tuned for more educational videos coming soon.
