chatgpt java环境调用源码实现demo

目录

• chatgpt java环境调用源码
• 1、启动环境
• 2、创建工程
• 3、编译工程
• 4、引入依赖
• 5、调用接口
• 扩展：Java实现调用ChatGPT
• 1、导入依赖
• 2、demo
• 3、测试
• 4、总结：

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

com.alibaba chatgpt 1.0.0

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

            com.theokanning.openai-gpt3-java
            client
            0.10.0
        

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 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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