UI Reviewer

AI-powered analysis and feedback for improving user experience and accessibility of UI components.

Key Features

1. UI Component Analysis: The feature analyzes HTML code of UI components to identify areas for improvement.

2. UX Feedback: Provides actionable feedback to enhance user experience.

3. Accessibility Evaluation: Identifies accessibility issues and suggests improvements for better compliance.

4. Organized Reporting: Generates feedback in a structured JSON format for easy interpretation and implementation.

5. Continuous Improvement: Supports iterative development by providing ongoing feedback as UI evolves.

How it Works

• Input your HTML code or URL for which you want to generate UI reviews.
• The UI Reviewer leverages advanced language models to analyze the code and generate a detailed report of findings.
• The scanner identifies potential issues, accessibility issues, and areas for improvement in your UI.

You can find an example here (opens in a new tab)

Usage Guide

Here's a detailed step-by-step guide on how to use the UI Reviewer:

1. Follow the initial setup guide here.

2. Create a new Python file and import the necessary modules from Kaizen:

    from kaizen.reviewer.ui_review import UIReviewer
    import json

3. Create an instance of the UI Reviewer:

   ui_review = UIReviewer()

4. Provide the URL or HTML code for which you want to generate UI reviews:

   UI review for a specific URL:

    url = "https://cloudcode.ai"
    reviews = ui_review.generate_ui_review(url=url)["reviews"]

   UI review for HTML code:

    html_code = """
    <div class="container">
        <h1>Welcome to CloudCode.ai</h1>
        <p>This is a sample HTML code for UI review.</p>
    </div>
    """
    reviews = ui_review.generate_ui_review(html_code=html_code)["reviews"]

5. Display the test results:

    print_block = """
    -----------------------------------------------
    Topic: {topic}
    Review: {review}
    Confidence: {confidence}
    Solution: {solution}
    Code Block:
    ```html
    {code_block}
    ```\n\n
    """
    
    for review in reviews:
        content = print_block.format(
            topic=review["topic"],
            review=review["comment"],
            confidence=review["confidence"],
            code_block=review["code_block"],
            solution=review["solution"],
        )
        print(content)

6. Review the generated report and address the identified issues in your code.

Example

Here's a complete example to review the UI of a specific URL:

from kaizen.reviewer.ui_review import UIReviewer
 
# Create an instance of the UI Reviewer
ui_review = UIReviewer()
 
# Generate UI review for a specific URL
url = "https://cloudcode.ai"
reviews = ui_review.generate_ui_review(url=url)["reviews"]
 
# Display the results
print_block = """
-----------------------------------------------
Topic: {topic}
Review: {review}
Confidence: {confidence}
Solution: {solution}
Code Block:
```html
{code_block}
```\n\n
"""
 
for review in reviews:
    content = print_block.format(
        topic=review["topic"],
        review=review["comment"],
        confidence=review["confidence"],
        code_block=review["code_block"],
        solution=review["solution"],
    )
    print(content)

Supported Input

• HTML code
• URLs of web pages

Benefits

• Improved User Experience
• Accessibility Compliance
• Continuous Improvement

Limitations

• AI Limitations: Understanding complex UI patterns or context-specific nuances.
• Human Oversight: AI feedback should complement human review and testing.