Java调用ChatGPT(基于SpringBoot和Vue)实现可连续对话和流式输出的ChatGPT API

Java调用ChatGPT实现可连续对话和流式输出的完整攻略

本攻略将会详细讲解如何使用Java调用ChatGPT API实现可连续对话和流式输出。整个过程分为以下几个步骤：

准备工作：安装必要的Java开发环境和ChatGPT API
创建Java项目并导入ChatGPT API
实现可连续对话的ChatGPT API调用示例
实现流式输出的ChatGPT API调用示例

下面将一步步介绍如何进行操作。

1. 准备工作

安装Java开发环境（JDK 1.8及以上版本）
下载并安装Maven https://maven.apache.org/download.cgi
下载并安装Git https://git-scm.com/downloads
下载并安装ChatGPT API https://github.com/yuanxiaosc/ChatGPT

2. 创建Java项目并导入ChatGPT API

在命令行中使用mvn archetype:generate命令生成Java项目脚手架，可以选择任意一个符合你需求的脚手架模板
使用git clone https://github.com/yuanxiaosc/ChatGPT.git命令克隆ChatGPT API的源代码到你的本地计算机
在Java项目中添加ChatGPT API的依赖项，具体方法请参考Maven文档

3. 实现可连续对话的ChatGPT API调用示例

下面将会使用Java代码演示如何调用ChatGPT API实现可连续对话和流式输出。首先，我们来看一个实现可连续对话功能的示例：

import com.chuang.urras.toolskit.third.apache.http.HttpClient;
import com.chuang.urras.toolskit.third.apache.http.entity.ContentType;
import com.chuang.urras.toolskit.third.apache.http.entity.StringEntity;
import com.chuang.urras.toolskit.third.apache.http.message.BasicHeader;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.node.ObjectNode;

import java.io.IOException;

public class ChatGPTDemo {

    private static final String CHAT_GPT_API_URL = "http://localhost:8080/api/chatbot/";

    public static void main(String[] args) throws IOException {
        String sessionId = startSession();
        System.out.println("Session ID: " + sessionId);
        dialog(sessionId, "你好");
        dialog(sessionId, "聊点什么吧");
        dialog(sessionId, "");
        endSession(sessionId);
    }

    private static String startSession() throws IOException {
        ObjectMapper objectMapper = new ObjectMapper();
        ObjectNode objectNode = objectMapper.createObjectNode();
        objectNode.put("userId", "test");
        HttpClient.HttpResult httpResult = HttpClient.defaultOne().requestPost(CHAT_GPT_API_URL + "startSession",
                new BasicHeader("Content-Type", "application/json"),
                new StringEntity(objectNode.toString(), ContentType.APPLICATION_JSON),
                Charset.forName("UTF-8"),
                Charset.forName("UTF-8"));
        return objectMapper.readValue(httpResult.getString(), ObjectNode.class).get("sessionId").asText();
    }

    private static void dialog(String sessionId, String message) throws IOException {
        ObjectMapper objectMapper = new ObjectMapper();
        ObjectNode objectNode = objectMapper.createObjectNode();
        objectNode.put("sessionId", sessionId);
        objectNode.put("message", message);
        HttpClient.HttpResult httpResult = HttpClient.defaultOne().requestPost(
                CHAT_GPT_API_URL + "dialog", new BasicHeader("Content-Type", "application/json"),
                new StringEntity(objectNode.toString(), ContentType.APPLICATION_JSON),
                Charset.forName("UTF-8"),
                Charset.forName("UTF-8"));
        ObjectNode response = objectMapper.readValue(httpResult.getString(), ObjectNode.class);
        System.out.println("User:" + message);
        System.out.println("Bot:" + response.get("response").asText());
    }

    private static void endSession(String sessionId) throws IOException {
        ObjectMapper objectMapper = new ObjectMapper();
        ObjectNode objectNode = objectMapper.createObjectNode();
        objectNode.put("sessionId", sessionId);
        HttpClient.HttpResult httpResult = HttpClient.defaultOne().requestPost(
                CHAT_GPT_API_URL + "endSession", new BasicHeader("Content-Type", "application/json"),
                new StringEntity(objectNode.toString(), ContentType.APPLICATION_JSON),
                Charset.forName("UTF-8"),
                Charset.forName("UTF-8"));
        httpResponse.getEntity().getContent().close();
    }
}

这个示例演示了如何使用ChatGPT API实现可连续对话功能。首先调用startSession方法开始一个对话，然后调用dialog方法输入对话，最后调用endSession方法结束对话。

4. 实现流式输出的ChatGPT API调用示例

下面是一个实现流式输出功能的Java示例代码：

import com.chuang.urras.toolskit.third.apache.http.HttpClient;
import com.chuang.urras.toolskit.third.apache.http.entity.ContentType;
import com.chuang.urras.toolskit.third.apache.http.entity.StringEntity;
import com.chuang.urras.toolskit.third.apache.http.message.BasicHeader;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.node.ObjectNode;

import java.io.IOException;

public class ChatGPTDemo {

    private static final String CHAT_GPT_API_URL = "http://localhost:8080/api/chatbot/";

    public static void main(String[] args) throws IOException {
        String sessionId = startSession();
        System.out.println("Session ID: " + sessionId);
        dialog(sessionId, "你好");
        dialog(sessionId, "聊点什么吧", true);
        dialog(sessionId, "", true);
        endSession(sessionId);
    }

    private static String startSession() throws IOException {
        ObjectMapper objectMapper = new ObjectMapper();
        ObjectNode objectNode = objectMapper.createObjectNode();
        objectNode.put("userId", "test");
        HttpClient.HttpResult httpResult = HttpClient.defaultOne().requestPost(CHAT_GPT_API_URL + "startSession",
                new BasicHeader("Content-Type", "application/json"),
                new StringEntity(objectNode.toString(), ContentType.APPLICATION_JSON),
                Charset.forName("UTF-8"),
                Charset.forName("UTF-8"));
        return objectMapper.readValue(httpResult.getString(), ObjectNode.class).get("sessionId").asText();
    }

    private static void dialog(String sessionId, String message, boolean stream) throws IOException {
        ObjectMapper objectMapper = new ObjectMapper();
        ObjectNode objectNode = objectMapper.createObjectNode();
        objectNode.put("sessionId", sessionId);
        objectNode.put("message", message);
        objectNode.put("stream", stream);
        HttpClient.HttpResult httpResult = HttpClient.defaultOne().requestPost(
                CHAT_GPT_API_URL + "dialog", new BasicHeader("Content-Type", "application/json"),
                new StringEntity(objectNode.toString(), ContentType.APPLICATION_JSON),
                Charset.forName("UTF-8"),
                Charset.forName("UTF-8"));
        ObjectNode response = objectMapper.readValue(httpResult.getString(), ObjectNode.class);
        System.out.println("User:" + message);
        System.out.println("Bot:" + response.get("response").asText());
        if (stream) {
            String messageId = response.get("messageId").asText();
            while (true) {
                ObjectNode getStreamObjectNode = objectMapper.createObjectNode();
                getStreamObjectNode.put("sessionId", sessionId);
                getStreamObjectNode.put("messageId", messageId);
                HttpClient.HttpResult getStreamHttpResult = HttpClient.defaultOne().requestPost(
                        CHAT_GPT_API_URL + "getStream", new BasicHeader("Content-Type", "application/json"),
                        new StringEntity(getStreamObjectNode.toString(), ContentType.APPLICATION_JSON),
                        Charset.forName("UTF-8"),
                        Charset.forName("UTF-8"));
                ObjectNode getStreamResponse = objectMapper.readValue(getStreamHttpResult.getString(), ObjectNode.class);
                String responseText = getStreamResponse.get("responseText").asText();
                if (responseText.isEmpty()) {
                    break;
                }
                messageId = getStreamResponse.get("messageId").asText();
                System.out.println("Bot:" + responseText);
            }
        }
    }

    private static void endSession(String sessionId) throws IOException {
        ObjectMapper objectMapper = new ObjectMapper();
        ObjectNode objectNode = objectMapper.createObjectNode();
        objectNode.put("sessionId", sessionId);
        HttpClient.HttpResult httpResult = HttpClient.defaultOne().requestPost(
                CHAT_GPT_API_URL + "endSession", new BasicHeader("Content-Type", "application/json"),
                new StringEntity(objectNode.toString(), ContentType.APPLICATION_JSON),
                Charset.forName("UTF-8"),
                Charset.forName("UTF-8"));
        httpResponse.getEntity().getContent().close();
    }
}

这个示例演示了如何使用ChatGPT API实现流式输出功能。与可连续对话示例类似，首先调用startSession方法开始一个对话，然后调用dialog方法输入对话，并且设置流式输出参数，最后调用getStream方法获取更多输出信息。

至此，整个攻略就讲解完毕了。如果有任何疑问，欢迎在评论区提出。

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