目录

前言

准备工作

集成达芬奇模型

效果展示

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://joseke.blog.csdn.net/article/details/127196743

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;/** * openai 配置类 */@Configurationpublic 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.propertiesserver.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-003

3、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@Servicepublic class OpenAiChatBiz {    @Value("${open.ai.model}")    private String openAiModel;    @Autowired    private OpenAiService openAiService;    /**     * 聊天     * @param prompt     * @return     */    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;@RestControllerpublic 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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