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。
4.0.0 org.springframework.boot spring-boot-starter-parent 3.0.5 com.xiaotian superapi 0.0.1-SNAPSHOT superapi superapi 17 true org.springframework.boot spring-boot-starter-webflux com.alibaba fastjson 1.2.83 cn.hutool hutool-all 5.7.21 org.projectlombok lombok true org.springframework.boot spring-boot-starter-test test io.projectreactor reactor-test test org.springframework.boot spring-boot-maven-plugin org.projectlombok lombok
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 choices;
} GPTChoice
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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 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：
