前语
ChatGPT已经组件放开了，现在都能够根据它写插件了。可是说实话我还真没想到能够用它干嘛，或许能够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。 今日我就先共享下SpringBoot结合ChatGPT，先看看对话效果。
一、依赖引进
这个基本上没啥依赖引进哦，我这儿就是一个干干净净的SpringBoot项目，引进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 # 该值越大每次回来的结果越随机，即类似度越小
3.接口完成代码
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 回来目标
* @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 回来choice目标
* @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 条件目标
* @return 出参目标
*/
@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、运用
接口信息
url：/chatGpt/askAi
type:post
入参：
{
“askStr”:”今日你吃饭了吗”
}
我的几个示例
下面是几个问的示例：
总结
- 不得不说ChatGPT确实强大，触及各学科
- 这个在加上讯飞言语SDK那妥妥的就是一个”小爱同学“
- 真要上，这儿共享的代码还需要优化打磨哦 反正看起来就是啥都能够问它，简直是江湖百晓生、智者，上知地理下至地理，无所不知啊。有点好玩，就共享到这儿，希望能博大家一笑。
