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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