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 { /** * 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 */@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;/** * gpt-3 返回choice对象 * @author zhengwen */@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;/** * 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@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：
以上就是java springboot怎么集成chatgpt实现ai聊天的详细内容。