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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;@Datapublic class GPTRequest { private String askStr; private String replyStr;}GPTResponse
package com.xiaotian.superapi.chatgpt.entity;import lombok.Data;import java.util.List;@Datapublic 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;@Datapublic 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;@Slf4j@RestController@RequestMapping("/chatGpt")public class ChatGPTController { @Resource private ChartGPTService chartGPTService; @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@Servicepublic 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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