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Student lab learning workbook for programming Java with Visual Studio Code GOLD Version
Introduction
This lab is designed to teach you how to program in Java using Visual Studio Code. We will cover the basics of setting up your development environment, creating a new Java project, writing and running a simple Java program, and using some of the advanced features of Visual Studio Code.
Prerequisites
Before starting this lab, you should have some basic knowledge of programming concepts and experience with a programming language. You should also have Visual Studio Code installed on your computer and the Java Extension Pack installed in Visual Studio Code.
Setting up your development environment
Creating a new Java project
java
public class HelloWorld {
public static void main(String[] args) {
System.out.println("Hello, World!");
}
}
Running a simple Java program
Using advanced features of Visual Studio Code
Conclusion
In this lab, you learned how to program in Java using Visual Studio Code. You learned how to set up your development environment, create a new Java project, write and run a simple Java program, and use some of the advanced features of Visual Studio Code. With this knowledge, you can start exploring more advanced Java programming concepts and building more complex Java applications.
The complete Java code and pom.xml and all the configuration steps needed to make the Java ChatGPT client. This lab is specific to Visual Studio Code tooling
Start by creating a new Maven project in Visual Studio Code.
Step 1: Creating a new Maven Project
After following these steps, you should have a new Maven project with a pom.xml file and a standard directory structure for a Java project.
Step 2: Adding Dependencies to pom.xml
We will use the Apache HttpClient library to make HTTP requests and the Jackson library to handle JSON. Add these dependencies to your pom.xml file:
xmlCopy code
<dependencies>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
<version>4.5.13</version>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
<version>2.12.3</version>
</dependency>
</dependencies>
Step 3: Writing the Java Code
We will create a ChatGPTClient class that communicates with the OpenAI API.
javaCopy code
import java.util.*;
import org.apache.http.*;
import org.apache.http.client.methods.*;
import org.apache.http.impl.client.*;
import org.apache.http.entity.*;
import com.fasterxml.jackson.databind.*;
public class ChatGPTClient {
private static final String API_URL = "https://api.openai.com/v1/engines/davinci-codex/completions";
private static final String API_KEY = "YOUR_OPENAI_API_KEY";
public String sendChatMessage(String message) throws Exception {
// create the HTTP client
CloseableHttpClient httpClient = HttpClients.createDefault();
// create the HTTP POST request
HttpPost httpPost = new HttpPost(API_URL);
httpPost.setHeader("Authorization", "Bearer " + API_KEY);
httpPost.setHeader("Content-Type", "application/json");
// create the request body
Map<String, Object> requestBody = new HashMap<>();
requestBody.put("prompt", message);
requestBody.put("max_tokens", 60);
// convert the request body to JSON
String jsonRequestBody = new ObjectMapper().writeValueAsString(requestBody);
// set the request body to the HTTP POST request
httpPost.setEntity(new StringEntity(jsonRequestBody));
// execute the HTTP POST request
CloseableHttpResponse response = httpClient.execute(httpPost);
// get the response body
HttpEntity responseEntity = response.getEntity();
String jsonResponseBody = EntityUtils.toString(responseEntity);
// convert the response body from JSON
Map<String, Object> responseBody = new ObjectMapper().readValue(jsonResponseBody, Map.class);
// get the chat message from the response body
String chatMessage = (String) responseBody.get("choices").get(0).get("text");
// return theI'm sorry, the response was cut off accidentally. Here's the remaining part of the Java code:
```java
// return the chat message
return chatMessage;
}
}
This ChatGPTClient class has a method sendChatMessage that sends a chat message to the OpenAI API and returns the response from the API. This is a very basic implementation. In a real-world application, you would want to handle exceptions and edge cases properly, and you would probably want to separate the concerns of HTTP communication and JSON handling into separate classes or methods.
Also, please replace YOUR_OPENAI_API_KEY with your actual OpenAI API key.
Step 4: Using the ChatGPTClient
You can use the ChatGPTClient class in your application like this:
javaCopy code
public class Main {
public static void main(String[] args) {
try {
ChatGPTClient client = new ChatGPTClient();
String response = client.sendChatMessage("Translate the following English text to French: 'Hello, how are you?'");
System.out.println("Response: " + response);
} catch (Exception e) {
e.printStackTrace();
}
}
}
This Main class has a main method that creates a ChatGPTClient, sends a chat message to the OpenAI API, and prints the response from the API.
To run this program, you can use the java command in the terminal:
bashCopy code
mvn compile
mvn exec:java -Dexec.mainClass="Main"
Remember to replace "Main" with the actual package and class name of your main method. For example, if your main method is in a class Main in a package com.example, then you would use -Dexec.mainClass="com.example.Main".
These are the basic steps to create a Java client for the ChatGPT API using Maven and Visual Studio Code. From here, you can expand this basic client to meet the specific needs of your application. For example, you could create a user interface for sending chat messages, or you could integrate this client into a larger application.
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