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import gradio as gr | |
import random | |
from transformers import pipeline | |
# Load the model once when the app starts | |
generator = pipeline('text-generation', model='distilgpt2') # Lightweight model | |
# Predefined words to check | |
SPECIAL_WORDS = ['weather', 'sun', 'middle', 'summer', 'heat'] | |
def generate_circular_text_design(word): | |
"""Generate a simple animated design for a word using CSS animations.""" | |
# Controlled randomization parameters | |
fonts = [ | |
"'Dosis', sans-serif", | |
"'Josefin Sans', sans-serif", | |
"'Orbitron', sans-serif", | |
"'Roboto Condensed', sans-serif" | |
] | |
font_size = random.choice([18, 20, 22, 24]) | |
skew_angle = random.choice([-15, -10, 0, 10, 15]) | |
base_color = f'#{random.randint(0, 0xFFFFFF):06x}' | |
# Unique animation name | |
animation_name = f"animation_{random.randint(0, 10000)}" | |
# CSS Keyframes | |
keyframes = f""" | |
@keyframes {animation_name} {{ | |
0% {{ transform: skew({skew_angle}deg); color: {base_color}; }} | |
50% {{ transform: skew({-skew_angle}deg); color: {base_color}; }} | |
100% {{ transform: skew({skew_angle}deg); color: {base_color}; }} | |
}} | |
""" | |
# Style properties | |
style = { | |
'font-family': random.choice(fonts), | |
'font-size': f'{font_size}px', | |
'color': base_color, | |
'display': 'inline-block', | |
'animation': f'{animation_name} 2s infinite', | |
'margin': '0 2px' | |
} | |
# Convert style to inline CSS | |
style_str = '; '.join([f'{k}: {v}' for k, v in style.items()]) | |
# Construct HTML with embedded style and animation | |
styled_word = f''' | |
<style> | |
{keyframes} | |
</style> | |
<span style="{style_str}">{word}</span> | |
''' | |
return styled_word | |
def process_text(input_text): | |
"""Process text and apply special styling to matching words.""" | |
# Limit input length to prevent long processing times | |
max_input_length = 20 # Adjust as needed | |
input_text = ' '.join(input_text.split()[:max_input_length]) | |
# Generate text with limited length | |
generated = generator(input_text, max_length=50, num_return_sequences=1) | |
generated_text = generated[0]['generated_text'] | |
# Limit output length to prevent overflow | |
generated_text = generated_text[:300] # Limit to first 300 characters | |
# Split text into words | |
words = generated_text.split() | |
# Check for special words and apply styling | |
for i, word in enumerate(words): | |
# Clean the word for matching | |
clean_word = ''.join(filter(str.isalnum, word)).lower() | |
if clean_word in SPECIAL_WORDS: | |
words[i] = generate_circular_text_design(word) | |
else: | |
words[i] = word | |
# Combine words back into HTML-formatted text | |
output_html = ' '.join(words) | |
# Build the complete HTML | |
final_output = f""" | |
<html> | |
<head> | |
<!-- Include only necessary fonts --> | |
<link href='https://fonts.googleapis.com/css2?family=Dosis&family=Josefin+Sans&family=Orbitron&family=Roboto+Condensed&display=swap' rel='stylesheet'> | |
</head> | |
<body style='background-color: #000; color: #fff; padding: 20px; font-size: 18px; line-height: 1.6; font-family: "Josefin Sans", sans-serif;'> | |
<div style='max-width: 800px; margin: auto;'>{output_html}</div> | |
</body> | |
</html> | |
""" | |
return final_output | |
# Create Gradio interface | |
iface = gr.Interface( | |
fn=process_text, | |
inputs="text", | |
outputs=gr.HTML(label="Generated Text"), | |
title="Circular Text Styler", | |
description="Enter a prompt to generate text with special word styling." | |
) | |
# Launch the interface | |
iface.launch() |