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Update app.py
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app.py
CHANGED
@@ -2,138 +2,101 @@ import gradio as gr
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import random
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from transformers import pipeline
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# Predefined words to check
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SPECIAL_WORDS = ['weather', 'sun', 'middle', 'summer', 'heat']
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def generate_circular_text_design(word):
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"""Generate a
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# Controlled randomization parameters
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font_sizes = [18, 20, 22, 24, 26]
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letter_spacings = [-3, -2, -4]
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skew_angles = [-25, -20, -15, -10, 0, 10, 15, 20, 25]
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# Random single color
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base_color = f'#{random.randint(0, 0xFFFFFF):06x}'
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# Fonts with a controlled set
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fonts = [
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"'Dosis', sans-serif",
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"'Josefin Sans', sans-serif",
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"'Orbitron', sans-serif",
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"'Roboto Condensed', sans-serif"
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]
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#
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animation_name = f"animation_{random.randint(0, 10000)}"
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#
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letters = list(word)
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styled_letters = []
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# Prepare CSS keyframes for animation
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keyframes = f"""
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@keyframes {animation_name} {{
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0% {{
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}}
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50% {{
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transform: scale(1.2) rotate({random.randint(-20, 20)}deg);
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color: #{random.randint(0, 0xFFFFFF):06x};
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}}
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100% {{
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transform: scale(1) rotate(0deg);
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color: {base_color};
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}}
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}}
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"""
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# Convert style to inline CSS
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style_str = '; '.join([f'{k}: {v}' for k, v in style.items()])
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styled_letter = f'<div class="CIRCDosis_SZ18_SP-3_SH1_SK0_MA0" style="{style_str}">{letter}</div>'
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styled_letters.append(styled_letter)
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# Wrap styled letters in a flex container and include keyframes in a style tag
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return f'''
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<style>
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{keyframes}
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</style>
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<
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{" ".join(styled_letters)}
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</div>
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'''
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def process_text(input_text):
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"""Process text and apply special styling to matching words"""
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#
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# Split text into words
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words = generated_text.split()
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# Check for special words
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for i, word in enumerate(words):
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if clean_word in SPECIAL_WORDS:
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# Apply circular text design
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words[i] = generate_circular_text_design(word)
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#
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<html>
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<head>
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<
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.CIRCDosis_SZ18_SP-3_SH1_SK0_MA0 {{
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float: left;
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position: relative;
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transition: all 0.3s ease;
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}}
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body {{
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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margin: 0;
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font-family: 'Josefin Sans', sans-serif;
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background-color: black;
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color: silver;
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text-align: center;
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padding: 10px;
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box-sizing: border-box;
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}}
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h1 {{
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display: flex;
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align-items: baseline;
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flex-wrap: wrap;
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font-size: 24px;
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}}
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</style>
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</head>
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<body>
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<
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</body>
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</html>
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"""
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return
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# Create Gradio interface
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iface = gr.Interface(
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inputs="text",
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outputs=gr.HTML(label="Generated Text"),
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title="Circular Text Styler",
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description="Enter a prompt to generate text with special word styling.
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)
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# Launch the interface
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iface.launch()
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import random
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from transformers import pipeline
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# Load the model once when the app starts
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generator = pipeline('text-generation', model='distilgpt2') # Lightweight model
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# Predefined words to check
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SPECIAL_WORDS = ['weather', 'sun', 'middle', 'summer', 'heat']
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def generate_circular_text_design(word):
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"""Generate a simple animated design for a word using CSS animations."""
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# Controlled randomization parameters
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fonts = [
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"'Dosis', sans-serif",
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"'Josefin Sans', sans-serif",
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"'Orbitron', sans-serif",
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"'Roboto Condensed', sans-serif"
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]
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font_size = random.choice([18, 20, 22, 24])
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skew_angle = random.choice([-15, -10, 0, 10, 15])
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base_color = f'#{random.randint(0, 0xFFFFFF):06x}'
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# Unique animation name
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animation_name = f"animation_{random.randint(0, 10000)}"
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# CSS Keyframes
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keyframes = f"""
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@keyframes {animation_name} {{
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0% {{ transform: skew({skew_angle}deg); color: {base_color}; }}
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50% {{ transform: skew({-skew_angle}deg); color: {base_color}; }}
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100% {{ transform: skew({skew_angle}deg); color: {base_color}; }}
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}}
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"""
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# Style properties
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style = {
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'font-family': random.choice(fonts),
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'font-size': f'{font_size}px',
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'color': base_color,
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'display': 'inline-block',
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'animation': f'{animation_name} 2s infinite',
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'margin': '0 2px'
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}
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# Convert style to inline CSS
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style_str = '; '.join([f'{k}: {v}' for k, v in style.items()])
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# Construct HTML with embedded style and animation
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styled_word = f'''
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<style>
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{keyframes}
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</style>
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<span style="{style_str}">{word}</span>
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'''
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return styled_word
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def process_text(input_text):
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"""Process text and apply special styling to matching words."""
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# Limit input length to prevent long processing times
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max_input_length = 20 # Adjust as needed
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input_text = ' '.join(input_text.split()[:max_input_length])
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# Generate text with limited length
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generated = generator(input_text, max_length=50, num_return_sequences=1)
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generated_text = generated[0]['generated_text']
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# Limit output length to prevent overflow
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generated_text = generated_text[:300] # Limit to first 300 characters
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# Split text into words
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words = generated_text.split()
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# Check for special words and apply styling
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for i, word in enumerate(words):
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# Clean the word for matching
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clean_word = ''.join(filter(str.isalnum, word)).lower()
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if clean_word in SPECIAL_WORDS:
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words[i] = generate_circular_text_design(word)
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else:
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words[i] = word
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# Combine words back into HTML-formatted text
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output_html = ' '.join(words)
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# Build the complete HTML
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final_output = f"""
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<html>
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<head>
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<!-- Include only necessary fonts -->
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<link href='https://fonts.googleapis.com/css2?family=Dosis&family=Josefin+Sans&family=Orbitron&family=Roboto+Condensed&display=swap' rel='stylesheet'>
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</head>
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<body style='background-color: #000; color: #fff; padding: 20px; font-size: 18px; line-height: 1.6; font-family: "Josefin Sans", sans-serif;'>
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<div style='max-width: 800px; margin: auto;'>{output_html}</div>
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</body>
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</html>
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"""
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return final_output
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# Create Gradio interface
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iface = gr.Interface(
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inputs="text",
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outputs=gr.HTML(label="Generated Text"),
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title="Circular Text Styler",
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description="Enter a prompt to generate text with special word styling."
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)
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# Launch the interface
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iface.launch()
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