Building a Spring Boot Application with (chatgpt) GPT-4 Integration

 

Building a Spring Boot Application with GPT-4 Integration

Introduction

Spring Boot is a powerful framework for building Java applications quickly and efficiently. With the rise of AI and machine learning models like OpenAI's GPT-4, integrating such models into your applications can provide powerful capabilities, such as natural language processing (NLP), text generation, and more. In this article, we'll walk through the process of creating a Spring Boot application that leverages GPT-4.

Prerequisites

Before we dive into the implementation, make sure you have the following set up:

• Java Development Kit (JDK) 11+
• Maven or Gradle for dependency management
• Spring Boot (latest version recommended)
• OpenAI API Key (You can get this by signing up on the OpenAI platform)

Step 1: Setting Up the Spring Boot Project

First, create a new Spring Boot project. You can use Spring Initializr for this:

1. Go to Spring Initializr.

2. Select the following options:

   • Project: Maven or Gradle
   • Language: Java
   • Spring Boot Version: Latest stable version
   • Group: com.example
   • Artifact: springboot-gpt4
   • Dependencies: Spring Web, Spring Boot DevTools, Lombok (optional)

3. Click "Generate" to download the project and extract it to your workspace.

Step 2: Add OpenAI API Client Dependency

To interact with GPT-4, you'll need a client library that can make HTTP requests to the OpenAI API. Add the following dependency to your pom.xml (for Maven users) or build.gradle (for Gradle users).

For Maven:

xml:

<dependency>
    <groupId>com.squareup.okhttp3</groupId>
    <artifactId>okhttp</artifactId>
    <version>4.9.1</version>
</dependency>

For Gradle:

groovy:

implementation 'com.squareup.okhttp3:okhttp:4.9.1'

Step 3: Create a Service to Interact with GPT-4

Create a service class that will handle communication with the OpenAI GPT-4 API. In the src/main/java/com/example/springbootgpt4/service directory, create a file named Gpt4Service.java.

java:

package com.example.springbootgpt4.service;

import okhttp3.*;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;

import java.io.IOException;

@Service
public class Gpt4Service {

    @Value("${openai.api.key}")
    private String apiKey;

    private final OkHttpClient client = new OkHttpClient();

    public String generateText(String prompt) throws IOException {
        String apiUrl = "https://api.openai.com/v1/engines/gpt-4/completions";

        MediaType JSON = MediaType.get("application/json; charset=utf-8");
        String requestBody = "{\n" +
                "  \"prompt\": \"" + prompt + "\",\n" +
                "  \"max_tokens\": 150\n" +
                "}";

        Request request = new Request.Builder()
                .url(apiUrl)
                .header("Authorization", "Bearer " + apiKey)
                .post(RequestBody.create(JSON, requestBody))
                .build();

        try (Response response = client.newCall(request).execute()) {
            if (!response.isSuccessful()) throw new IOException("Unexpected code " + response);

            return response.body().string();
        }
    }
}

Step 4: Configure the API Key

Add your OpenAI API key to the application.properties or application.yml file.

For application.properties:

properties:

openai.api.key=your_openai_api_key_here

For application.yml:

yaml:

openai:
  api:
    key: your_openai_api_key_here

Step 5: Create a REST Controller

Now, create a REST controller to expose an endpoint where users can submit prompts and receive responses generated by GPT-4. In the src/main/java/com/example/springbootgpt4/controller directory, create a file named Gpt4Controller.java.

java:

package com.example.springbootgpt4.controller;

import com.example.springbootgpt4.service.Gpt4Service;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

import java.io.IOException;

@RestController
@RequestMapping("/api/gpt4")
public class Gpt4Controller {

    @Autowired
    private Gpt4Service gpt4Service;

    @PostMapping("/generate")
    public String generateText(@RequestBody String prompt) {
        try {
            return gpt4Service.generateText(prompt);
        } catch (IOException e) {
            e.printStackTrace();
            return "Error generating text";
        }
    }
}

Step 6: Test the Application

Run your Spring Boot application using the command:

bash:

./mvnw spring-boot:run

Once the application is running, you can test it by sending a POST request to the /api/gpt4/generate endpoint with a JSON body containing the prompt.

Example using curl:

bash:

curl -X POST http://localhost:8080/api/gpt4/generate \
-H "Content-Type: application/json" \
-d "{\"prompt\": \"Write a short story about a friendly robot.\"}"

Conclusion

In this article, we've walked through setting up a Spring Boot application that integrates with GPT-4 for text generation. This setup can be extended to include more sophisticated features such as handling different GPT models, managing API responses, and creating a more interactive user interface.

This integration opens up numerous possibilities for building intelligent applications that can interact with users in natural language, automate content creation, and more.