app.py

import gradio as gr
import random

def text_transformation(text, operation, intensity=1.0):
    """
    Apply various text transformations to the input text.
    
    Args:
        text (str): Input text to transform
        operation (str): Type of transformation to apply
        intensity (float): Strength of the transformation (0.0 to 1.0)
    
    Returns:
        str: Transformed text
    """
    if not text:
        return "Please enter some text first!"
    
    # Apply the selected operation
    if operation == "Reverse":
        return text[::-1]
    elif operation == "Uppercase":
        return text.upper()
    elif operation == "Lowercase":
        return text.lower()
    elif operation == "Title Case":
        return text.title()
    elif operation == "Random Case":
        return ''.join(
            char.upper() if random.random() < intensity else char.lower()
            for char in text
        )
    elif operation == "Alternating Case":
        result = []
        upper = True
        for char in text:
            if char.isalpha():
                if random.random() < intensity:
                    result.append(char.upper())
                else:
                    result.append(char.lower())
                upper = not upper
        return ''.join(result)
    elif operation == "Spongebob Mock":
        result = []
        for char in text:
            if char.isalpha():
                if random.random() < intensity:
                    result.append(char.upper())
                else:
                    result.append(char.lower())
        return ''.join(result)
    elif operation == "Leet Speak":
        leet_dict = {
            'a': '4', 'e': '3', 'i': '1', 'o': '0', 's': '5',
            't': '7', 'l': '1', 'o': '0', 's': '5', 't': '7'
        }
        return ''.join(
            leet_dict.get(char.lower(), char)
            for char in text
        )
    elif operation == "Add Emojis":
        emojis = ['😊', '🎉', '🔥', '✨', '🚀', '💯']
        result = []
        for char in text:
            if random.random() < intensity:
                result.append(leet_dict.get(char.lower(), char))
        return ''.join(result)
    elif operation == "Shuffle Words":
        words = text.split()
        if len(words) <= 1:
            return text
        random.shuffle(words)
        return ' '.join(words)
    elif operation == "Duplicate Letters":
        result = []
        for char in text:
            if char.isalpha() and random.random() < intensity:
                result.append(char * 2)
            else:
                result.append(char)
        return ''.join(result)
    elif operation == "Reverse Words":
        words = text.split()
        return ' '.join(word[::-1] for word in words)
    else:
        return text

def generate_example():
    """Generate a random example for the user"""
    examples = [
        "Hello World!",
        "The quick brown fox jumps over the lazy dog.",
        "Gradio is amazing for creating ML demos.",
        "Text transformation made easy with Revert."
    ]
    return random.choice(examples)

# Create custom theme for Revert app
revert_theme = gr.themes.Soft(
    primary_hue="indigo",
    secondary_hue="slate",
    neutral_hue="stone",
    font=gr.themes.GoogleFont("Inter"),
    text_size="lg",
    spacing_size="lg",
    radius_size="md"
).set(
    button_primary_background_fill="*primary_600",
    button_primary_background_fill_hover="*primary_700",
    block_title_text_weight="600",
    body_text_weight="400"
)

with gr.Blocks() as demo:
    gr.Markdown(
        """
        # 🔄 Revert - Text Transformation Tool
        **Transform your text with various operations!**
        
        Built with [anycoder](https://huggingface.co/spaces/akhaliq/anycoder)
        """
    )
    
    with gr.Row():
        with gr.Column(scale=3):
            input_text = gr.Textbox(
                label="Input Text",
                placeholder="Enter text to transform here...",
                lines=3,
                max_lines=10,
                info="Type your text and choose an operation"
            )
            
            operation = gr.Dropdown(
                choices=[
                    "Reverse",
                    "Uppercase", 
                    "Lowercase",
                    "Title Case",
                    "Random Case",
                    "Alternating Case",
                    "Spongebob Mock",
                    "Leet Speak",
                    "Add Emojis",
                    "Shuffle Words",
                    "Duplicate Letters",
                    "Reverse Words"
                ],
                value="Reverse",
                label="Transformation Type",
                info="Choose how to transform your text"
            )
            
            intensity = gr.Slider(
                minimum=0.0,
                maximum=1.0,
                value=0.7,
                step=0.1,
                label="Intensity",
                info="Adjust the strength of the transformation"
            )
        
        with gr.Column(scale=2):
            output_text = gr.Textbox(
                label="Transformed Text",
                interactive=False,
                lines=3,
                max_lines=10
            )
    
    with gr.Row():
        transform_btn = gr.Button(
            "Transform Text 🪄",
            variant="primary",
            size="lg"
        )
    
    # Example generation section
    with gr.Row():
        example_btn = gr.Button(
            "Generate Example ✨",
            variant="secondary"
        )
    
    # Examples for quick testing
    examples = gr.Examples(
        examples=[
            ["Hello World!", "Reverse", 1.0],
            ["PYTHON PROGRAMMING", "Lowercase", 1.0],
            ["the gradio library", "Title Case", 1.0],
            ["Machine Learning Demo", "Random Case", 0.5],
            ["text transformation", "Alternating Case", 0.8],
            ["revert app", "Leet Speak", 0.9],
            ["add some fun", "Add Emojis", 0.6]
        ],
        inputs=[input_text, operation, intensity]
    )
    
    # Event listeners
    transform_btn.click(
        fn=text_transformation,
        inputs=[input_text, operation, intensity],
        outputs=[output_text],
        api_visibility="public"
    )
    
    example_btn.click(
        fn=generate_example,
        inputs=None,
        outputs=[input_text],
        api_visibility="private"
    )

if __name__ == "__main__":
    demo.launch(
        theme=revert_theme,
        css="""
        .gradio-container {
            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
        }
        .cool-col {
            padding: 20px;
            border-radius: 12px;
            background: rgba(255, 255, 255, 0.1);
            border: 1px solid rgba(255, 255, 255, 0.2);
        }
        """,
        footer_links=[
            {"label": "Documentation", "url": "https://www.gradio.app"},
            {"label": "GitHub", "url": "https://github.com/gradio-app/gradio"},
            {"label": "Built with anycoder", "url": "https://huggingface.co/spaces/akhaliq/anycoder"}
        ]
    )