Pranav Bhatia (Inactive) added a comment - 09/May/25 4:54 PM Attached PDF contains the prompt questions and my responses generated using ChatGPT. Prompts-IGB-Apps-R&D.pdf Link to repository for Screenrecorder App - https://bitbucket.org/pranavbhatia1999/screenrecorder-app/src/master/ Link to repository for Genomics Fun Facts App - https://bitbucket.org/pranavbhatia1999/genomics-fun-app/src/master/

Pranav Bhatia (Inactive) added a comment - 09/May/25 4:19 PM - edited As part of this exploratory study, I used ChatGPT to assist in building new IGB apps and assess the ease of development using LLM-based tools. Experience Summary: I started by discussing the “super-simple-igb-app” structure with ChatGPT. After confirming it was a minimal viable starter app for the Integrated Genome Browser, I asked: Whether users can use LLMs like ChatGPT to create IGB apps. How we can empower the public to create IGB plugins using AI. If ChatGPT could generate a working example IGB plugin for R&D purposes. ChatGPT provided detailed and relevant responses, suggesting multiple ways users could be supported via ChatGPT APIs and even proposed a plugin idea that displays a random genomics-related fact. I implemented the suggested app, and it worked successfully. The total time to set up, test, and verify this app was approximately 1 hour. Successful Outcome App Created: Displays a random genomics fact or quote upon clicking a menu item Unsuccessful Attempt: Next, I attempted to build a more complex app using ChatGPT: one that would take screenshots at user-defined intervals and compile them into a PDF. ChatGPT generated relevant code using PDDocument and PDImageXObject. However, the app failed to run in IGB, likely due to OSGi integration limitations. I spent 2–3 hours debugging but was ultimately unsuccessful in getting it to work within the IGB environment. Limitations: Complex apps requiring interaction with threads or background tasks still demand deeper knowledge of IGB internals and OSGi. Potential: With proper scaffolding tools or a custom GPT trained on IGB-specific documentation and examples, even non-expert developers could create functional IGB apps more easily. Artifacts Provided Working code for genomics fact plugin Prototype code for screenshot recorder plugin (non-functional) Facts app - package org.bioviz.igb.app; import org.osgi.service.component.annotations.Component; import java.util.Arrays; import java.util.List; import java.util.Optional; import java.util.Random; import javax.swing.JOptionPane; import org.lorainelab.igb.menu.api.MenuBarEntryProvider; import org.lorainelab.igb.menu.api.model.MenuBarParentMenu; import org.lorainelab.igb.menu.api.model.MenuItem; @Component(immediate = true ) public class GenomicsFunApp implements MenuBarEntryProvider { private final List< String > facts = Arrays.asList( "Did you know? The human genome contains about 3 billion base pairs." , "Fun Fact: Mitochondrial DNA is inherited only from the mother." , "Trivia: Only 1.5% of human DNA codes for proteins!" , "The first sequenced genome was that of a virus, in 1976." ); @Override public Optional<List<MenuItem>> getMenuItems() { MenuItem menuItem = new MenuItem( "Random Genome Fact" , ( Void t) -> { Random rand = new Random(); String fact = facts.get(rand.nextInt(facts.size())); JOptionPane.showMessageDialog( null , fact); return t; }); menuItem.setWeight(1000000000); return Optional.ofNullable(Arrays.asList(menuItem)); } @Override public MenuBarParentMenu getMenuExtensionParent() { return MenuBarParentMenu.TOOLS; } } Screenrecorder app - package org.bioviz.igb.app; import org.apache.pdfbox.pdmodel.PDDocument; import org.apache.pdfbox.pdmodel.PDPage; import org.apache.pdfbox.pdmodel.PDPageContentStream; import org.apache.pdfbox.pdmodel.common.PDRectangle; import org.apache.pdfbox.pdmodel.graphics.image.LosslessFactory; import org.apache.pdfbox.pdmodel.graphics.image.PDImageXObject; import org.osgi.service.component.annotations.Component; import org.lorainelab.igb.menu.api.MenuBarEntryProvider; import org.lorainelab.igb.menu.api.model.MenuBarParentMenu; import org.lorainelab.igb.menu.api.model.MenuItem; import javax.imageio.ImageIO; import javax.swing.*; import java.awt.*; import java.awt.image.BufferedImage; import java.io.File; import java.io.IOException; import java.util.*; import java.util.List; import java.util.concurrent.*; @Component(immediate = true ) public class ScreenshotRecorderApp implements MenuBarEntryProvider { private ScheduledExecutorService scheduler; private List<File> screenshots = new ArrayList<>(); private File outputDir = new File( System .getProperty( "user.home" ), "IGBSnapshots" ); @Override public Optional<List<MenuItem>> getMenuItems() { MenuItem startItem = new MenuItem( "Start Screenshot Recorder" , ( Void t) -> { String input = JOptionPane.showInputDialog( "Enter interval (in seconds):" ); if (input == null ) return t; try { int interval = Integer .parseInt(input.trim()); startRecording(interval); JOptionPane.showMessageDialog( null , "Recording started. Use 'Stop Screenshot Recorder' to stop." ); } catch (NumberFormatException e) { JOptionPane.showMessageDialog( null , "Invalid input. Please enter a number." ); } return t; }); MenuItem stopItem = new MenuItem( "Stop Screenshot Recorder" , ( Void t) -> { stopRecording(); return t; }); return Optional.of(Arrays.asList(startItem, stopItem)); } private void startRecording( int intervalSeconds) { if (!outputDir.exists()) outputDir.mkdirs(); screenshots.clear(); scheduler = Executors.newSingleThreadScheduledExecutor(); scheduler.scheduleAtFixedRate(() -> { try { Robot robot = new Robot(); Rectangle screenRect = new Rectangle(Toolkit.getDefaultToolkit().getScreenSize()); BufferedImage screenFullImage = robot.createScreenCapture(screenRect); File file = new File(outputDir, "screenshot_" + System .currentTimeMillis() + ".png" ); ImageIO.write(screenFullImage, "png" , file); screenshots.add(file); System .out.println( "Screenshot taken: " + file.getAbsolutePath()); } catch (Exception e) { e.printStackTrace(); } }, 0, intervalSeconds, TimeUnit.SECONDS); } private void stopRecording() { if (scheduler != null ) { scheduler.shutdown(); try { if (!scheduler.awaitTermination(2, TimeUnit.SECONDS)) { scheduler.shutdownNow(); } } catch (InterruptedException e) { scheduler.shutdownNow(); } } try { File pdfFile = new File(outputDir, "IGB_Screenshots_" + System .currentTimeMillis() + ".pdf" ); PDDocument doc = new PDDocument(); for (File imageFile : screenshots) { BufferedImage bimg = ImageIO.read(imageFile); PDPage page = new PDPage( new PDRectangle(bimg.getWidth(), bimg.getHeight())); doc.addPage(page); PDImageXObject pdImage = LosslessFactory.createFromImage(doc, bimg); PDPageContentStream contentStream = new PDPageContentStream(doc, page); contentStream.drawImage(pdImage, 0, 0); contentStream.close(); } doc.save(pdfFile); doc.close(); JOptionPane.showMessageDialog( null , "PDF created: " + pdfFile.getAbsolutePath()); } catch (IOException e) { JOptionPane.showMessageDialog( null , "Error creating PDF: " + e.getMessage()); } } @Override public MenuBarParentMenu getMenuExtensionParent() { return MenuBarParentMenu.TOOLS; } }