前言
Spring Boot是由Pivotal团队提供的全新框架，其设计目的是用来简化新Spring应用的初始搭建以及开发过程。该框架使用了特定的方式来进行配置，从而使开发人员不再需要定义样板化的配置。通过这种方式，Spring Boot致力于在蓬勃发展的快速应用开发领域（rapid application development）成为领导者。
准备工作
1、初始化一个springboot项目
参考地址：https://www.jb51.net/article/232551.htm
2、访问OPENAI官网获取API密钥
地址：https://platform.openai.com/account/api-keys
3、通过OPENA开源的JAVA SDK （OpenAI-Java）访问 API
地址：GitHub - TheoKanning/openai-java: OpenAI GPT-3 Api Client in Java
集成达芬奇模型
1、编写SpringBoot项目中的pom文件
<dependency>
<groupId>com.theokanning.openai-gpt3-java</groupId>
<artifactId>client</artifactId>
<version>0.9.0</version>
</dependency>2、初始化OpenAiService类
import com.theokanning.openai.OpenAiService;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import java.time.Duration;
@Configuration
public class OpenAiConfiguration {
@Value("${open.ai.key}")
private String openAiKey;
@Value("${open.ai.request.timeout}")
private long timeout;
@Bean
public OpenAiService openAiService(){
return new OpenAiService(openAiKey, Duration.ofSeconds(timeout));
}
}3、配置密钥、超时时间和使用的模型
#application.properties
server.port=8081
#密钥
open.ai.key=xxxxxxxx
#超时时间
open.ai.request.timeout=100000
#达芬奇模型
open.ai.model=text-davinci-0033、编写访问业务类
import com.google.common.collect.Maps;
import com.theokanning.openai.OpenAiService;
import com.theokanning.openai.completion.CompletionRequest;
import com.theokanning.openai.completion.CompletionResult;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;
import java.util.Arrays;
import java.util.Map;
@Slf4j
@Service
public class OpenAiChatBiz {
@Value("${open.ai.model}")
private String openAiModel;
@Autowired
private OpenAiService openAiService;
public String chat(String prompt){
CompletionRequest completionRequest = CompletionRequest.builder()
.prompt(prompt)
.model(openAiModel)
.echo(true)
.temperature(0.7)
.topP(1d)
.frequencyPenalty(0d)
.presencePenalty(0d)
.maxTokens(1000)
.build();
CompletionResult completionResult = openAiService.createCompletion(completionRequest);
String text = completionResult.getChoices().get(0).getText();
return text;
}
}
4、编写访问接口
import org.apache.commons.lang3.StringUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
@RestController
public class OpenAiChatApi {
@Autowired
private OpenAiChatBiz openAiChatBiz;
@RequestMapping(path = "/chat/question",method = RequestMethod.GET)
public String openAiChat(@RequestParam("question")String question){
if(StringUtils.isBlank(question)){
return "Please Input";
}
return openAiChatBiz.chat(question);
}
}效果展示
使用google的API Tester插件进行测试
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