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Commit 69cae8b

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Merge pull request #35 from CJCrafter/assistants
Add assistants
2 parents f538803 + 46a4734 commit 69cae8b

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‎.gitattributes

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#
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# https://help.github.com/articles/dealing-with-line-endings/
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#
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# These are explicitly windows files and should use crlf
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*.bat text eol=crlf
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*texteol=lf

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‎.github/workflows/dokka-publish.yml

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‎LICENSE

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‎build.gradle.kts

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import com.github.breadmoirai.githubreleaseplugin.GithubReleaseTask
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group = "com.cjcrafter"
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version = "2.0.2"
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version = "2.0.2-SNAPSHOT"
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plugins {
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`java-library`

‎examples/build.gradle.kts

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implementation("com.fasterxml.jackson.core:jackson-databind:2.15.3")
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implementation("io.github.cdimascio:dotenv-kotlin:6.4.1")
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implementation("ch.qos.logback:logback-classic:1.4.11")
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implementation("ch.qos.logback:logback-classic:1.4.12")
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// https://mvnrepository.com/artifact/org.mariuszgromada.math/MathParser.org-mXparser
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// Used for tool tests
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package assistant;
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import com.cjcrafter.openai.OpenAI;
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import com.cjcrafter.openai.assistants.CreateAssistantRequest;
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import com.cjcrafter.openai.assistants.ModifyAssistantRequest;
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import io.github.cdimascio.dotenv.Dotenv;
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import java.util.Scanner;
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public class AssistantExample {
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// To use dotenv, you need to add the "io.github.cdimascio:dotenv-kotlin:version"
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// dependency. Then you can add a .env file in your project directory.
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public static final OpenAI openai = OpenAI.builder()
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.apiKey(Dotenv.load().get("OPENAI_TOKEN"))
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.build();
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public static final Scanner scan = new Scanner(System.in);
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public static void main(String[] args) {
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int input;
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do {
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System.out.println("1. Create");
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System.out.println("2. Retrieve");
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System.out.println("3. List");
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System.out.println("4. Delete");
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System.out.println("5. Modify");
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System.out.println("6. Exit");
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System.out.print("Code: ");
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input = Integer.parseInt(scan.nextLine());
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switch (input) {
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case 1:
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create();
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break;
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case 2:
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retrieve();
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break;
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case 3:
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list();
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break;
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case 4:
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delete();
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break;
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case 5:
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modify();
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break;
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case 6:
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System.out.println("Goodbye!");
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break;
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default:
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System.out.println("Invalid code!");
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}
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} while (input != 6);
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}
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public static void create() {
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System.out.print("Model: ");
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String model = scan.nextLine();
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System.out.print("Name: ");
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String name = scan.nextLine();
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System.out.print("Description: ");
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String description = scan.nextLine();
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System.out.print("Instructions: ");
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String instructions = scan.nextLine();
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CreateAssistantRequest request = CreateAssistantRequest.builder()
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.model(model)
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.name(name)
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.description(description)
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.instructions(instructions)
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.build();
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System.out.println("Request: " + request);
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System.out.println("Response: " + openai.getAssistants().create(request));
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}
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public static void retrieve() {
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System.out.print("ID: ");
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String id = scan.nextLine();
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System.out.println("Response: " + openai.getAssistants().retrieve(id));
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}
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public static void list() {
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System.out.println("Response: " + openai.getAssistants().list());
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}
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public static void delete() {
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System.out.print("ID: ");
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String id = scan.nextLine();
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System.out.println("Response: " + openai.getAssistants().delete(id));
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}
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public static void modify() {
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System.out.print("ID: ");
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String id = scan.nextLine();
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System.out.print("Name: ");
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String name = scan.nextLine();
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System.out.print("Description: ");
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String description = scan.nextLine();
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System.out.print("Instructions: ");
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String instructions = scan.nextLine();
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ModifyAssistantRequest request = ModifyAssistantRequest.builder()
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.name(name)
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.description(description)
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.instructions(instructions)
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.build();
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System.out.println("Request: " + request);
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System.out.println("Response: " + openai.getAssistants().modify(id, request));
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}
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}
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package assistant;
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import com.cjcrafter.openai.OpenAI;
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import com.cjcrafter.openai.assistants.Assistant;
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import com.cjcrafter.openai.assistants.ListAssistantResponse;
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import com.cjcrafter.openai.threads.Thread;
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import com.cjcrafter.openai.threads.message.*;
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import com.cjcrafter.openai.threads.runs.CreateRunRequest;
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import com.cjcrafter.openai.threads.runs.MessageCreationDetails;
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import com.cjcrafter.openai.threads.runs.Run;
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import com.cjcrafter.openai.threads.runs.RunStep;
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import io.github.cdimascio.dotenv.Dotenv;
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import java.util.Scanner;
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public class ThreadExample {
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public static void main(String[] args) throws InterruptedException {
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// To use dotenv, you need to add the "io.github.cdimascio:dotenv-kotlin:version"
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// dependency. Then you can add a .env file in your project directory.
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OpenAI openai = OpenAI.builder()
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.apiKey(Dotenv.load().get("OPENAI_TOKEN"))
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.build();
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// Ask the user to choose an assistant
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ListAssistantResponse assistants = openai.assistants().list();
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for (int i = 0; i < assistants.getData().size(); i++) {
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Assistant assistant = assistants.getData().get(i);
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System.out.println(i + ". " + assistant);
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}
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Scanner scan = new Scanner(System.in);
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int choice = Integer.parseInt(scan.nextLine());
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Assistant assistant = assistants.getData().get(choice);
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// We have to create a new thread. We'll save this thread, so we can
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// add user messages and get responses later.
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Thread thread = openai.threads().create();
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while (true) {
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// Handle user input
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System.out.println("Type your input below: ");
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String input = scan.nextLine();
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openai.threads().messages(thread).create(CreateThreadMessageRequest.builder()
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.role(ThreadUser.USER)
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.content(input)
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.build());
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// After adding a message to the thread, we have to "run" the thread
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Run run = openai.threads().runs(thread).create(CreateRunRequest.builder()
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.assistant(assistant)
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.build());
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// This is a known limitation in OpenAI, and they are working to
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// address this so that we can easily stream a response without
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// nonsense like this.
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while (!run.getStatus().isTerminal()) {
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java.lang.Thread.sleep(1000);
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run = openai.threads().runs(thread).retrieve(run);
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}
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// Once the run stops, we want to retrieve the steps of the run.
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// this includes message outputs, function calls, code
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// interpreters, etc.
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for (RunStep step : openai.threads().runs(thread).steps(run).list().getData()) {
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if (step.getType() != RunStep.Type.MESSAGE_CREATION) {
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System.out.println("Assistant made step: " + step.getType());
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continue;
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}
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// This cast is safe since we checked the type above
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MessageCreationDetails details = (MessageCreationDetails) step.getStepDetails();
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ThreadMessage message = openai.threads().messages(thread).retrieve(details.getMessageCreation().getMessageId());
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for (ThreadMessageContent content : message.getContent()) {
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if (content.getType() != ThreadMessageContent.Type.TEXT) {
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System.err.println("Unhandled message content type: " + content.getType());
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System.err.println("This will never occur since this Assistant doesn't use images.");
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System.exit(-1);
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}
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System.out.println(((TextContent) content).getText().getValue());
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}
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}
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}
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}
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}

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