Bagaimanakah Java SpringBoot mengintegrasikan ChatGPT untuk melaksanakan sembang AI?

一、依赖引入

这个基本上没啥依赖引入哦，我这里就是一个干干净净的SpringBoot项目，引入Hutool的工具包就行了。看看我的整体依赖吧，直接上pom.xml文件。

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
	<modelVersion>4.0.0</modelVersion>
	<parent>
		<groupId>org.springframework.boot</groupId>
		<artifactId>spring-boot-starter-parent</artifactId>
		<version>3.0.5</version>
		<relativePath/> <!-- lookup parent from repository -->
	</parent>
	<groupId>com.xiaotian</groupId>
	<artifactId>superapi</artifactId>
	<version>0.0.1-SNAPSHOT</version>
	<name>superapi</name>
	<description>superapi</description>
	<properties>
		<java.version>17</java.version>
		<skipTests>true</skipTests>
	</properties>
	<dependencies>

		<dependency>
			<groupId>org.springframework.boot</groupId>
			<artifactId>spring-boot-starter-webflux</artifactId>
		</dependency>

		<!-- Fastjson -->
		<dependency>
			<groupId>com.alibaba</groupId>
			<artifactId>fastjson</artifactId>
			<version>1.2.83</version>
		</dependency>

		<dependency>
			<groupId>cn.hutool</groupId>
			<artifactId>hutool-all</artifactId>
			<version>5.7.21</version>
		</dependency>


		<dependency>
			<groupId>org.projectlombok</groupId>
			<artifactId>lombok</artifactId>
			<optional>true</optional>
		</dependency>
		<dependency>
			<groupId>org.springframework.boot</groupId>
			<artifactId>spring-boot-starter-test</artifactId>
			<scope>test</scope>
		</dependency>
		<dependency>
			<groupId>io.projectreactor</groupId>
			<artifactId>reactor-test</artifactId>
			<scope>test</scope>
		</dependency>
	</dependencies>

	<build>
		<plugins>
			<plugin>
				<groupId>org.springframework.boot</groupId>
				<artifactId>spring-boot-maven-plugin</artifactId>
				<configuration>
					<excludes>
						<exclude>
							<groupId>org.projectlombok</groupId>
							<artifactId>lombok</artifactId>
						</exclude>
					</excludes>
				</configuration>
			</plugin>
		</plugins>
	</build>

</project>

二、接口开发

1.项目结构

2.配置文件

ChatGPT:
  connect-timeout: 60000      # HTTP请求连接超时时间
  read-timeout: 60000         # HTTP请求读取超时时间
  variables:                  # 自定义变量:
    apiKey: youApiKey     # 你的 OpenAI 的 API KEY
    model: text-davinci-003   # ChartGPT 的模型
    maxTokens: 50             # 最大 Token 数
    temperature: 0.5          # 该值越大每次返回的结果越随机，即相似度越小

3.接口实现代码

GPTRequest

package com.xiaotian.superapi.chatgpt.entity;

import lombok.Data;

@Data
public class GPTRequest {
    /**
     * 问题
     */
    private String askStr;

    /**
     * 回答
     */
    private String replyStr;
}

GPTResponse

package com.xiaotian.superapi.chatgpt.entity;

import lombok.Data;

import java.util.List;

/**
 * GPT-3 返回对象
 * @author zhengwen
 */
@Data
public class GPTResponse {

    private String id;

    private String object;

    private String created;

    private String model;

    private List<GPTChoice> choices;
}

GPTChoice

package com.xiaotian.superapi.chatgpt.entity;

import lombok.Data;

/**
 * GPT-3 返回choice对象
 * @author zhengwen
 */
@Data
public class GPTChoice {

    private String text;

    private Integer index;
}

ChatGPTController

package com.xiaotian.superapi.chatgpt.controller;

import cn.hutool.json.JSONUtil;
import com.xiaotian.superapi.chatgpt.entity.GPTRequest;
import com.xiaotian.superapi.chatgpt.service.ChartGPTService;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

/**
 * GPT-3接口
 *
 * @author zhengwen
 */

@Slf4j
@RestController
@RequestMapping("/chatGpt")
public class ChatGPTController {

    @Resource
    private ChartGPTService chartGPTService;

    /**
     * openAI GPT-3
     *
     * @param gptRequest 条件对象
     * @return 出参对象
     */
    @PostMapping("/askAi")
    public String askAi(@RequestBody GPTRequest gptRequest) {

        String replyStr = chartGPTService.send(gptRequest.getAskStr());

        gptRequest.setReplyStr(replyStr);

        return JSONUtil.toJsonStr(gptRequest);
    }
}

ChartGPTService

package com.xiaotian.superapi.chatgpt.service;

public interface ChartGPTService {

    String send(String prompt);
}

ChartGPTServiceImpl

package com.xiaotian.superapi.chatgpt.service.impl;

import cn.hutool.http.Header;
import cn.hutool.http.HttpResponse;
import cn.hutool.http.HttpUtil;
import cn.hutool.json.JSONObject;
import cn.hutool.json.JSONUtil;
import com.xiaotian.superapi.chatgpt.entity.GPTResponse;
import com.xiaotian.superapi.chatgpt.service.ChartGPTService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;

import java.util.HashMap;
import java.util.Map;

@Slf4j
@Service
public class ChartGPTServiceImpl implements ChartGPTService {

    @Value("${ChatGPT.variables.apiKey}")
    private String apiKey;

    @Value("${ChatGPT.variables.maxTokens}")
    private String maxTokens;

    @Value("${ChatGPT.variables.model}")
    private String model;

    @Value("${ChatGPT.variables.temperature}")
    private String temperature;
    @Override
    public String send(String prompt) {
        JSONObject bodyJson = new JSONObject();
        bodyJson.put("prompt", prompt);
        bodyJson.put("max_tokens", Integer.parseInt(maxTokens));
        bodyJson.put("temperature", Double.parseDouble(temperature));
        Map<String,Object> headMap = new HashMap<>();
        headMap.put("Authorization", "Bearer " + apiKey);

        HttpResponse httpResponse = HttpUtil.createPost("https://api.openai.com/v1/engines/" + model + "/completions")
                .header(Header.AUTHORIZATION, "Bearer " + apiKey)
                .body(JSONUtil.toJsonStr(bodyJson))
                .execute();
        String resStr = httpResponse.body();
        log.info("resStr: {}", resStr);

        GPTResponse gptResponse = JSONUtil.toBean(resStr, GPTResponse.class);

        return gptResponse.getChoices().get(0).getText().replaceAll("\\n","");
    }
}

三、使用

接口信息

url：/chatGpt/askAi
type:post
入参：
{
“askStr”:“今天你吃饭了吗”
}

我的几个示例

下面是几个问的示例：

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