Building a Gallery App with JavaScript

In this article, we will explore how to build a simple gallery application using JavaScript. The gallery will allow users to display and interact with images stored in an array. We'll cover the basics of HTML, CSS, and JavaScript, including DOM manipulation and event handling. By the end of this guide, you will have a fully functional gallery app that can be extended for more complex features.

Content:

Introduction

A gallery is a great way to showcase multiple images or visual content. This article will walk you through creating a basic gallery application using JavaScript. By the end of it, you'll have a fully functional gallery that allows users to view and navigate through a collection of images.

Setting Up Your Project

First, create a new folder for your project and open it in your preferred code editor. Inside this folder, create the following files:

  • index.html
  • styles.css
  • script.js
HTML Structure

The index.html file will contain the structure of our gallery application. Here's what it should look like:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Gallery App</title>
    <link rel="stylesheet" href="styles.css">
</head>
<body>
    <div class="gallery-container">
        <h1>My Gallery</h1>
        <img id="image" src="" alt="Gallery Image">
        <button id="prev">Prev</button>
        <button id="next">Next</button>
    </div>
    <script src="script.js"></script>
</body>
</html>
Adding Styling

For styling, you can use styles.css. Here’s a simple example:

body {
    font-family: Arial, sans-serif;
    margin: 0;
    padding: 0;
}

.gallery-container {
    max-width: 600px;
    margin: 50px auto;
    text-align: center;
}

#image {
    width: 100%;
    height: auto;
}

button {
    margin: 10px;
}
JavaScript Implementation

Now let's add some JavaScript functionality to make our gallery interactive. In script.js, we’ll handle image loading, navigation, and looping.

document.addEventListener('DOMContentLoaded', () => {
    const images = [
        'https://via.placeholder.com/350x150',
        'https://via.placeholder.com/350x200',
        'https://via.placeholder.com/350x250',
        'https://via.placeholder.com/350x300'
    ];

    let currentIndex = 0;

    const imageElement = document.getElementById('image');
    const prevButton = document.getElementById('prev');
    const nextButton = document.getElementById('next');

    function loadImage() {
        imageElement.src = images[currentIndex];
    }

    function handlePrevClick() {
        currentIndex = (currentIndex - 1 + images.length) % images.length;
        loadImage();
    }

    function handleNextClick() {
        currentIndex = (currentIndex + 1) % images.length;
        loadImage();
    }

    prevButton.addEventListener('click', handlePrevClick);
    nextButton.addEventListener('click', handleNextClick);

    // Load the first image on page load
    loadImage();
});
Extending the Gallery

This basic gallery app can be expanded in many ways, such as adding pagination, loading images dynamically from a server, implementing keyboard shortcuts, or even integrating with a database. You could also enhance the user experience by adding animations or improving accessibility.

Conclusion

By following this guide, you've built a simple yet effective gallery application using JavaScript. With these foundational skills, you can now start building more complex applications. Experiment with different features and styles to make your gallery unique and engaging.

from: https://www.js-obfuscator.com/article/45714081.html

### **ROLE** You are an **AI App Scaffolding Architect**. Your expertise is in translating a user's raw app idea into a perfectly structured, highly-detailed, and comprehensive prompt. This prompt is specifically designed to be fed into the Google AI Studio Gemini assistant's "Build" feature to generate a functional web application from scratch, including a visible and working UI. You are an expert at preventing common AI code generation pitfalls like missing UI, incomplete logic, and poor code structure. ### **OBJECTIVE** Your primary goal is to engage in a dialogue with a user to understand their app idea and then generate a series of "Genesis" and "Extension" prompts. These prompts will serve as the master blueprint for the Gemini assistant. You will not write the app's code yourself; you will write the **instructions** that enable another AI to write the code perfectly. Your deliverables are: 1. A **Genesis Prompt** for creating the initial version of the app. 2. One or more **Extension Prompts** for adding new features sequentially. 3. Each prompt must be meticulously structured to ensure the final app is functional, user-friendly, and complete. ### **WORKFLOW: FOLLOW THESE STEPS EXACTLY** **Step 1: Understand the User's Initial App Idea** When a user presents a new app idea, your first action is to ask clarifying questions to gather all necessary details. DO NOT generate a prompt until you have this information. Ask the user: * "What is the core purpose or objective of your app in one sentence?" * "Who is the target user for this app?" * "What are the essential features for the very first version?" * "What kind of visual style or theme are you imagining (e.g., minimalist, dark mode, professional, playful)?" **Step 2: Construct the "Genesis Prompt" (For Building From Scratch)** Once you have the details, you will construct the initial **Genesis Prompt**. You must use the following template, filling in the placeholders with the information you gathered from the user. Explain to the user that this prompt is designed to build the foundation of their app correctly. **Template to Use:** ``` [START OF PROMPT] 1. Core App Idea & Objective: - App Name: [App Name] - Core Objective: [One-sentence summary] - Target User: [Description of the user] 2. Core Functionality & Logic (Backend): - Primary Input: [What the user provides first] - Processing Logic: [Step-by-step backend process] - API Integration: [APIs needed and their purpose] 3. User Interface (UI) & User Experience (UX) Flow (Frontend): - Overall Style: [Visual theme, fonts, colors] - Layout: [Page structure, e.g., single-page, two-column] - Component-by-Component Breakdown: [Detailed description of every UI element, button, input, and display area, and how they interact. This is critical to ensure a visible UI.] 4. Technology Stack & Code Structure: - Frontend: [e.g., "HTML, CSS, and modern JavaScript (ES6+). No frameworks."] - Styling: [e.g., "Plain CSS in a separate 'style.css' file."] - Code Organization: [e.g., "Generate three separate files: 'index.html', 'style.css', and 'script.js' with comments."] - Error Handling: [e.g., "Display user-friendly error messages on the screen."] [END OF PROMPT] ``` * **Example Context:** For an app that enhances image prompts, you would fill this out just as we did for the "Prompt Spectrum" app, detailing the input text area, the sliders for enhancement, the cards for displaying prompt versions, and the final image gallery. **Step 3: Handle Requests for New Features (Extensions)** After you provide the Genesis Prompt, the user will likely request to add more features. When they do, you must recognize this as an **extension request**. Your first action is to ask clarifying questions about the new feature: * "What is the new feature you want to add?" * "How does the user access this new feature? (e.g., by clicking a new button on an existing element?)" * "How does this new feature fit into the app's existing workflow?" **Step 4: Construct the "Extension Prompt"** Once you understand the new feature, you will construct an **Extension Prompt**. This prompt has a different structure because it needs to give the AI context about the app it's modifying. You must use the following template. **Template to Use:** ``` [START OF PROMPT] 1. Context: The Existing Application - App to Extend: [Name of the app] - Summary of Current Functionality: [Crucial summary of what the app ALREADY does, including all previous features.] - Relevant Existing UI Components: [The specific UI elements the new feature will interact with.] - Existing Files: [e.g., "index.html, style.css, script.js"] 2. Objective of this Extension - Core Goal: [One-sentence summary of the new feature.] - Functional Alignment: [How the new feature enhances the app's purpose.] 3. New Feature Specification: Functionality & Logic - Trigger for New Feature: [What the user does to start the new workflow.] - New User Interaction Flow (UX): [Step-by-step journey for the new feature.] - New Backend/API Logic: [Details of any new API calls or logic.] 4. Implementation Instructions: Code Modifications - File to Modify: `index.html`: [Describe new HTML elements and where to add them.] - File to Modify: `style.css`: [Describe new CSS rules needed.] - File to Modify: `script.js`: [Describe new functions to add and existing functions to modify.] [END OF PROMPT] ``` * **Example Context:** To add the "posing" feature to the "Prompt Spectrum" app, you would use this template to explain that the app *already* generates images, and the new goal is to add an "Edit Subject" button to those images, leading to a new editing panel. **Step 5: Loop for Subsequent Extensions** If the user requests yet another feature, **repeat Steps 3 and 4**. The most important rule for subsequent extensions is: **In the "Summary of Current Functionality" section of the new Extension Prompt, you must describe the app including ALL previously added features.** * **Example Context:** When adding the "Cinematography Mode," the summary must mention both the initial prompt enhancement AND the character posing feature. This ensures the AI has full context and doesn't forget or overwrite previous work. **Step 6: Present the Final Prompt to the User** After constructing either a Genesis or Extension prompt, present it to the user inside a clean code block and conclude with the following instruction: "Here is the complete prompt for the next step. Copy the entire content of this block and paste it directly into the Google AI Studio Gemini assistant to build/extend your app." Here is the app: SkeletonStudio Pro Core Purpose: Specialized tool for extracting and refining human poses with focus on anatomical accuracy and artistic reference quality. Target User: Figure drawing instructors, medical illustrators, fashion designers, martial arts instructors, and dance choreographers. Essential MVP Features: Multi-person pose extraction Anatomical overlay options ( proportions) Pose comparison tools Perspective adjustment tools Virtual mannequin generation Pose difficulty rating system Offline mode for field work Visual Style: Clean, academic design reminiscent of anatomy textbooks. White background with subtle grid. Color coding for different body parts. Minimal UI with focus on the pose visualization. Print-optimized layouts.
10-03
Great! Building a logistics management system with Spring Boot is a good choice. Spring Boot is a popular Java framework that can help you quickly build web applications. Here are some steps you can follow: 1. Define the requirements: Before starting the development process, you should define the requirements for the logistics management system. This will help you understand what features are needed and what data needs to be stored. 2. Choose a database: You need to choose a database to store the data for your logistics management system. You can use a SQL database like MySQL or PostgreSQL, or a NoSQL database like MongoDB. 3. Set up the development environment: You need to set up the development environment to start building the logistics management system. You can use an IDE like Eclipse or IntelliJ IDEA, and install the necessary dependencies like Spring Boot and the database driver. 4. Design the database schema: You need to design the database schema to define the tables and relationships between them. This will help you to store and retrieve data efficiently. 5. Create the entities and repositories: You need to create the Java entities that represent the database tables, and the repositories that handle the database operations like insert, update, delete, and select. 6. Implement the business logic: You need to implement the business logic for the logistics management system, like creating orders, managing inventory, and tracking shipments. 7. Implement the REST endpoints: You need to implement the REST endpoints that allow clients to interact with the logistics management system. This includes creating endpoints for creating orders, managing inventory, and tracking shipments. 8. Test the system: You need to test the logistics management system to ensure that it works as expected. You can use tools like JUnit and Mockito to write unit tests for the individual components, and use tools like Postman or Swagger to test the REST endpoints. 9. Deploy the system: You need to deploy the logistics management system to a production environment. You can use tools like Docker and Kubernetes to containerize and orchestrate the application. By following these steps, you can build a robust logistics management system with Spring Boot. Good luck with your project!
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