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Tuesday, May 21, 2024

Surprising interactive is made in 2 prompts under 10 minutes : Revolutionizing Interactive Content Creation with GPT-4o

https://chatgpt.com/c/f813ba1a-f204-4325-bdaa-eb35a89ec129
plantbasic.html.zip to upload to SLS
 

Revolutionizing Interactive Content Creation with GPT-4o: Surprising interactive is made in 2 prompts under 10 minutes

Introduction

Creating interactive content has traditionally been a complex process, involving multiple steps, technical know-how, and significant time investment. From coding in HTML, CSS, and JavaScript to testing and debugging, the traditional approach to making interactives can be daunting, especially for those without a technical background. However, with the advent of GPT-4o, creating interactive content has become astonishingly simple and accessible. In this blog post, we'll explore how GPT-4o is transforming the way we create interactives, reducing the process to just two easy steps.

The Traditional Way: A Complex and Time-Consuming Process

In the past, making interactive content required:

  1. Conceptualizing and Designing: Defining the purpose and layout of the interactive.
  2. Coding: Writing the necessary HTML, CSS, and JavaScript code.
  3. Testing: Running the code in different browsers and devices to ensure compatibility and functionality.
  4. Debugging: Identifying and fixing any issues or bugs that arise during testing.
  5. Deploying: Uploading the interactive to a web server or content management system (CMS).

This traditional method demanded a mix of creativity and technical expertise, making it inaccessible for many educators, marketers, and content creators who lacked programming skills.

The GPT-4 Revolution: Making Interactives in Two Simple Steps

With GPT-4o, the process of creating interactives has been streamlined to just two straightforward steps:

Step 1: Describe Your Interactive

The first step is to simply describe the interactive you want to create. Provide a detailed prompt that includes the components and functionalities you need. For example, if you want to create a plant growth simulation, your prompt might look like this:

"Create an interactive plant growth simulation using HTML and JavaScript. The simulation should include a combobox for selecting between two soil types: 'Soil A' and 'Soil B'. It should also have a slider for adjusting the time in weeks, ranging from 0 to 6, and a display area that shows the height of the plant in centimeters for the selected soil type at the selected time. The data for the plant heights is as follows: [provide data]."

Step 2: Generate and Use the Code

Once you've described your interactive, GPT-4 generates the necessary HTML and JavaScript code. You can then copy this code, save it as an HTML file, and open it in a web browser to see your interactive in action. Here’s a step-by-step guide to doing this:

  1. Copy the Generated Code:

    • Copy the HTML and JavaScript code provided by GPT-4.

  2. Save and Open the File:

    • Open a text editor (like Notepad on Windows or TextEdit on Mac).
    • Paste the copied code into the text editor.
    • Save the file with a .html extension (e.g., index.html note: has to be for SLS).
    • Open the saved file in a web browser to view and interact with your creation.

Example: Plant Growth Simulation

Here’s an example of what the generated code for a plant growth simulation might look like:

html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Plant Growth Simulation</title>
    <style>
        .container {
            text-align: center;
            margin-top: 50px;
        }
        .slider, .combobox {
            width: 300px;
            margin: 10px;
        }
        .display {
            font-size: 1.5em;
            margin: 10px;
        }
    </style>
</head>
<body>
    <div class="container">
        <h1>Plant Growth Simulation</h1>
        <label for="soilSelect">Select Soil: </label>
        <select id="soilSelect" class="combobox" onchange="updateValues()">
            <option value="A">Soil A</option>
            <option value="B">Soil B</option>
        </select>
        <br>
        <label for="timeSlider">Time (weeks): </label>
        <input type="range" id="timeSlider" min="0" max="6" step="1" value="0" class="slider" oninput="updateValues()">
        <div id="timeDisplay" class="display">Time: 0 weeks</div>
        <div id="soilDisplay" class="display">Soil A Plant Height: 0.00 cm</div>
    </div>

    <script>
        const data = {
            time: [0, 1, 2, 3, 4, 5, 6],
            soilA: [0.00, 0.80, 1.60, 2.20, 3.40, 3.75, 4.50],
            soilB: [0.00, 0.45, 0.80, 1.00, 1.60, 2.20, 2.50]
        };

        function updateValues() {
            const timeSlider = document.getElementById("timeSlider");
            const soilSelect = document.getElementById("soilSelect");
            const time = timeSlider.value;
            const selectedSoil = soilSelect.value;

            document.getElementById("timeDisplay").innerText = `Time: ${time} weeks`;
            
            if (selectedSoil === "A") {
                document.getElementById("soilDisplay").innerText = `Soil A Plant Height: ${data.soilA[time].toFixed(2)} cm`;
            } else {
                document.getElementById("soilDisplay").innerText = `Soil B Plant Height: ${data.soilB[time].toFixed(2)} cm`;
            }
        }

        window.onload = updateValues;
    </script>
</body>
</html>

Conclusion

With GPT-4o currently free to anyone, the daunting task of creating interactive content is reduced to a simple two-step process: describing your interactive and using the generated code. This innovation not only democratizes content creation by making it accessible to everyone, regardless of their technical expertise, but also saves time and effort. Embrace the future of interactive content creation with GPT-4o and experience the ease and efficiency it brings.


Prompt engineering for precise output

Prompt:
Create an interactive plant growth simulation using HTML and JavaScript. The simulation should include the following features:

A combobox for selecting between two soil types: "Soil A" and "Soil B".
A slider for adjusting the time in weeks, ranging from 0 to 6.
A display area that shows the height of the plant in centimeters for the selected soil type at the selected time.
The data for the plant heights at different times in weeks is as follows:

Data:
Time (weeks): 0, 1, 2, 3, 4, 5, 6
Soil A (cm): 0.00, 0.80, 1.60, 2.20, 3.40, 3.75, 4.50
Soil B (cm): 0.00, 0.45, 0.80, 1.00, 1.60, 2.20, 2.50
Requirements:
When a soil type is selected from the combobox, only the height of the plant for that soil type should be displayed.
The slider should allow the user to select a time (in weeks), and the display should update to show the corresponding plant height for the selected soil type.
The initial values should be set to time = 0 weeks and soil type = "Soil A".
 


Step-by-Step Guide: Renaming the File and Compressing into a ZIP for Upload to SLS

Step 1: Open a Text Editor and Save the File as index.html

  1. Open a Text Editor:

    • Windows: Open Notepad by clicking the Start menu, typing "Notepad" into the search bar, and pressing Enter.
    • Mac: Open TextEdit by clicking the Spotlight icon (magnifying glass) in the top-right corner of your screen, typing "TextEdit," and pressing Enter.

  2. Copy and Paste the HTML Code:

    • Copy the HTML code provided above.
    • Paste it into the text editor.

  3. Save the File as index.html:

    • Windows:
      • In Notepad, click "File" > "Save As".
      • In the "Save as type" dropdown, select "All Files".
      • In the "File name" field, type index.html.
      • Click "Save".
    • Mac:
      • In TextEdit, click "File" > "Save".
      • In the "Save As" field, type index.html.
      • Uncheck the "If no extension is provided, use .txt" checkbox.
      • Click "Save".

Step 2: Compress the File into a ZIP Archive

  1. Locate the index.html File:

    • Navigate to the folder where you saved the index.html file.

  2. Compress the File:

    • Windows:
      • Right-click the index.html file.
      • Select "Send to" > "Compressed (zipped) folder".
      • A new ZIP file will be created in the same folder with the same name (e.g., index.zip).
    • Mac:
      • Right-click (or Control-click) the index.html file.
      • Select "Compress index.html".
      • A new ZIP file will be created in the same folder (e.g., index.html.zip).

Step 3: Upload the ZIP File to SLS

  1. Log In to SLS:

    • Open your web browser and go to the SLS login page.
    • Enter your login credentials and sign in.

  2. Navigate to the Media Upload Section:

    • Once logged in, navigate to the section where you can upload media files. This might be under "Resources" or a similar menu item.

  3. Upload the ZIP File:

    • Look for an "Upload" button or link.
    • Click on "Upload" and select the index.zip file (or index.html.zip file, depending on how it was named).
    • Follow any on-screen instructions to complete the upload process.

  4. Confirm the Upload:

    • Once the file is uploaded, you should see it listed in your media library or resources section.

Summary:

  1. Save the HTML code as index.html.
  2. Compress the index.html file into a ZIP file.
  3. Log in to SLS and navigate to the media upload section.
  4. Upload the ZIP file and confirm the upload.

Following these steps will help you prepare and upload the HTML file to SLS.



for more complex interactive it took more effort. More effort can be seen on the chat log, about 10 more prompts.
plantwithdrawing.html.zip to upload to SLS

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