chatgpt java环境调用源码实现demo
作者:TD程序员
这篇文章主要介绍了chatgpt java环境调用源码实现demo,本文结合实例代码给大家介绍的非常详细,对大家的学习或工作具有一定的参考借鉴价值,需要的朋友可以参考下
chatgpt java环境调用源码
1、启动环境
开发工具:
jdk1.8
maven3.5.0
命令行工具:
curl
php
2、创建工程
mvn archetype:generate -DgroupId=com.example.gpt -DartifactId=gpt-demo
3、编译工程
mvn compile
4、引入依赖
<dependency>
<groupId>com.alibaba</groupId> <artifactId>chatgpt</artifactId> <version>1.0.0</version> </dependency>
5、调用接口
String url = "http://localhost:8080/chatgpt/api/v1.0/user/sendmessage"; ChatGPT chatGPT = ChatGPT.create(); byte[] message = "Hello, world!"; try { chatGPT.sendMessage(url, message); } catch (Exception e) { e.printStackTrace(); }
扩展:Java实现调用ChatGPT
1、导入依赖
<dependency> <groupId>com.theokanning.openai-gpt3-java</groupId> <artifactId>client</artifactId> <version>0.10.0</version> </dependency>
2、demo
(前提有账号token,本人余额不多了T-T,还可以玩几次,但是网络服务器问题容易timeout或者429拦截)
import com.theokanning.openai.OpenAiService; import com.theokanning.openai.completion.CompletionChoice; import com.theokanning.openai.completion.CompletionRequest; import java.util.ArrayList; import java.util.List; import java.util.Random; import java.util.Scanner; public class Demo { public static final String token = "私我"; public static final String model = "text-davinci-003"; public static final String retries = "20"; public static void main(String[] args) { ChatGPTProperties chatGPTProperties = new ChatGPTProperties(); chatGPTProperties.setModel(model); chatGPTProperties.setToken(token); chatGPTProperties.setRetries(Integer.valueOf(retries)); OpenAiService openAiService = new OpenAiService(token); boolean flag = true; while (flag) { System.out.println("Q(exit结束):\t"); Scanner scanner = new Scanner(System.in); String promote = scanner.nextLine(); if ("exit".equals(promote)) { flag = false; } else { getReq(openAiService, chatGPTProperties, promote); } } } public static void getReq(OpenAiService openAiService, ChatGPTProperties chatGPTProperties, String promote) { System.out.println("please wait a fell seconds..."); List<CompletionChoice> choices = new ArrayList(); int i = 0; Random random = new Random(); CompletionRequest completionRequest = CompletionRequest.builder() .model(model) .prompt(promote) .user("DEFAULT USER") .temperature(0.9D) .topP(1.0D) .maxTokens(4000) .build(); while (i < chatGPTProperties.getRetries()) { try { if (i > 0) { Thread.sleep((long) (500 + random.nextInt(500))); } // System.out.println("loading"); System.out.println("第" + (i + 1) + "次请求"); choices = openAiService.createCompletion(completionRequest).getChoices(); break; } catch (Exception var4) { System.out.println(new StringBuilder().append("answer failed ").append(i + 1).append(" times, the error message is: ").append(var4.getMessage()).toString()); if (i == chatGPTProperties.getRetries() - 1) { System.out.println((i + 1) + "次请求失败"); throw new RuntimeException(var4); } ++i; } } for (CompletionChoice choice : choices) { String text = choice.getText(); System.out.println(text); } } } class ChatGPTProperties { private String token; private String model = "text-davinci-003"; private Integer retries = 5; public ChatGPTProperties() { } public String getToken() { return this.token; } public String getModel() { return this.model; } public Integer getRetries() { return this.retries; } public void setToken(String token) { this.token = token; } public void setModel(String model) { this.model = model; } public void setRetries(Integer retries) { this.retries = retries; } // protected boolean canEqual(Object other) { // return other instanceof io.github.asleepyfish.config.ChatGPTProperties; // } public String toString() { return "ChatGPTProperties(token=" + this.getToken() + ", model=" + this.getModel() + ", retries=" + this.getRetries() + ")"; } }
3、测试
4、总结:
上下文承接时间是9s作用,猜测服务器有session超时过期设置。
老是超时或者被拦截,看脸。
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