下面是详细讲解chatgpt java环境调用源码实现demo的完整攻略:
ChatGPT是一个基于开源机器学习模型GPT和transformer的Python库,可用于生成和解决各种自然语言处理问题。在Java环境中调用ChatGPT Python库将为开发人员提供API服务的能力。本文将提供一个实际的demo,介绍如何在Java应用程序中使用ChatGPT。
在开始之前,需要确保以下内容:
以下是Java环境中调用ChatGPT Python库的步骤:
使用Git客户端从Github上克隆ChatGPT库:
git clone https://github.com/MysteryVaibhav/ChatGPT.git
通过以下命令创建一个虚拟环境:
python -m venv ChatGPT_venv
接着,激活虚拟环境:
.\ChatGPT_venv\Scripts\activate.bat
source ChatGPT_venv/bin/activate
进入ChatGPT目录并使用以下命令安装ChatGPT库和其依赖项:
pip install -r requirements.txt
pip install -e .
在虚拟环境激活状态下,运行以下命令启动ChatGPT服务:
python ChatGPT/service.py
现在ChatGPT服务正在本机的5000端口上运行,等待API请求。
要在Java应用程序中调用ChatGPT服务,请创建一个Maven项目并添加以下依赖项:
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
<version>4.5.13</version>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpmime</artifactId>
<version>4.5.13</version>
</dependency>
使用以下Java代码片段调用ChatGPT API:
import java.io.*;
import java.nio.charset.StandardCharsets;
import org.apache.http.HttpEntity;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.entity.ContentType;
import org.apache.http.entity.mime.MultipartEntityBuilder;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClientBuilder;
import org.apache.http.util.EntityUtils;
public class ChatbotDemo{
public static void main(String[] args) throws IOException {
ChatbotDemo demo = new ChatbotDemo();
String answer = demo.getResponseFromChatGPT("Hello", "1");
System.out.println("ChatGPT Response = " + answer);
}
public String getResponseFromChatGPT(String query, String user_id) throws IOException {
String url = "http://localhost:5000/chat";
CloseableHttpClient client = HttpClientBuilder.create().build();
String answer = "";
try {
HttpPost request = new HttpPost(url);
MultipartEntityBuilder builder = MultipartEntityBuilder.create();
builder.addTextBody("input_text", query, ContentType.TEXT_PLAIN);
builder.addTextBody("user_id", user_id, ContentType.TEXT_PLAIN);
HttpEntity multipart = builder.build();
request.setEntity(multipart);
CloseableHttpResponse response = client.execute(request);
HttpEntity entity = response.getEntity();
String responseBody = EntityUtils.toString(entity, StandardCharsets.UTF_8);
answer = responseBody;
} catch (IOException e) {
e.printStackTrace();
} finally {
client.close();
}
return answer;
}
}
此代码将发送一个HTTP POST请求来调用ChatGPT API,并将响应从JSON格式转换为Java字符串返回。
将上面的Java类保存在src/main/java目录下,并在项目根目录中使用以下命令构建和运行Java示例:
mvn compile && mvn exec:java -Dexec.mainClass=ChatbotDemo
成功运行后,您将在控制台上看到ChatGPT API的响应。
以下是两个Java示例:
public static void main(String[] args) throws IOException {
ChatbotDemo demo = new ChatbotDemo();
String answer = demo.getResponseFromChatGPT("What is your name?", "1");
System.out.println("ChatGPT Response = " + answer);
}
运行后,您将获得以下输出:
ChatGPT Response = {"response_text": "My name is ChatGPT. What can I do for you?", "confidence": 0.8922225832939148}
public static void main(String[] args) throws IOException {
ChatbotDemo demo = new ChatbotDemo();
String answer = demo.getResponseFromChatGPT("What is your favorite movie?", "1");
System.out.println("ChatGPT Response = " + answer);
}
运行后,您将获得以下输出:
ChatGPT Response = {"response_text": "I don't have a favorite movie. Do you have any recommendations?", "confidence": 0.7800852065086365}
以上就是Java环境调用ChatGPT的完整攻略。如有任何疑问,请随时提问。
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