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SpringBoot集成ChatGPT实现AI聊天

article 2024/11/13 6:34:11

前言

ChatGPT已经组件放开了，现在都可以基于它写插件了。但是说实话我还真没想到可以用它干嘛，也许可以用它结合文字语音开发一个老人小孩需要的智能的说话陪伴啥的。
今天我就先分享下SpringBoot结合ChatGPT，先看看对话效果。

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

在这里插入图片描述

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","");
    }
}