š Universal AI Text Humanizer
Perfect for ALL Business Needs - E-commerce, Marketing, SEO & More
Simple, clean, and effective - no complex parameters needed
# Universal AI Text Humanizer for Hugging Face Spaces # Simplified for All Business Use Cases import gradio as gr import time import os import nltk def ensure_nltk_resources(): """Ensure minimal NLTK data for tokenizing and lemmatization.""" resources = { 'punkt': 'tokenizers/punkt', 'punkt_tab': 'tokenizers/punkt_tab', 'wordnet': 'corpora/wordnet', 'omw-1.4': 'corpora/omw-1.4' } for name, path in resources.items(): try: nltk.data.find(path) print(f"ā Resource already present: {name}") except LookupError: print(f"š Downloading {name} ā¦") try: nltk.download(name, quiet=True) print(f"ā Downloaded {name}") except Exception as e: print(f"ā Failed to download {name}: {e}") def test_nltk_setup(): """Test basic tokenization & lemmatization to verify setup.""" from nltk.tokenize import word_tokenize, sent_tokenize from nltk.stem import WordNetLemmatizer text = "This is a test. Testing tokenization and lemmatization." # Test sentence splitting sentences = sent_tokenize(text) print(f"Sentence tokenize works: {len(sentences)} sentences: {sentences}") # Test word tokenization words = word_tokenize(text) print(f"Word tokenize works: {len(words)} words: {words}") # Test lemmatization lemmatizer = WordNetLemmatizer() lem = [lemmatizer.lemmatize(w) for w in words] print(f"Lemmatization works: {lem}") # In startup part of your app print("š Ensuring NLTK minimal resources ā¦") ensure_nltk_resources() print("š§ Testing NLTK setup ā¦") test_nltk_setup() # Import our universal humanizer from universal_humanizer import UniversalAITextHumanizer # Global variables humanizer = None initialization_status = {} def initialize_universal_humanizer(): """Initialize the universal humanizer""" global humanizer, initialization_status print("š Initializing Universal AI Text Humanizer...") print("šÆ Perfect for E-commerce, Marketing, SEO & All Business Needs") try: # Initialize with universal settings humanizer = UniversalAITextHumanizer(enable_gpu=True) initialization_status = { "humanizer_loaded": True, "advanced_similarity": humanizer.similarity_model is not None, "ai_paraphrasing": humanizer.paraphraser is not None, "tfidf_fallback": humanizer.tfidf_vectorizer is not None, "structure_preservation": True, "universal_patterns": True, "quality_control": True, "total_features": 6, "enabled_features": sum([ bool(humanizer.similarity_model), bool(humanizer.paraphraser), bool(humanizer.tfidf_vectorizer), True, # Structure preservation True, # Universal patterns True # Quality control ]) } print("ā Universal humanizer ready for all business use cases!") print(f"šÆ System completeness: {(initialization_status['enabled_features']/initialization_status['total_features'])*100:.1f}%") return True except Exception as e: print(f"ā Error initializing universal humanizer: {e}") initialization_status = {"error": str(e), "humanizer_loaded": False} return False def humanize_text_universal_hf(text, style, intensity): """ Universal humanization interface for HF Spaces """ if not text.strip(): return "ā ļø Please enter some text to humanize.", "", "" if humanizer is None: return "ā Error: Universal humanizer not loaded. Please refresh the page.", "", "" try: start_time = time.time() # Use universal humanization result = humanizer.humanize_text_universal( text=text, style=style.lower(), intensity=intensity ) processing_time = (time.time() - start_time) * 1000 # Format results for display stats = f"""**šÆ Results:** - **Similarity Score**: {result['similarity_score']:.3f} (Meaning preserved) - **Processing Time**: {processing_time:.1f}ms - **Style**: {result['style'].title()} - **Intensity**: {result['intensity']} - **Structure Preserved**: ā Yes - **Word Count**: {result['word_count_original']} ā {result['word_count_humanized']} **š§ Transformations Applied:** {chr(10).join([f'⢠{change}' for change in result['changes_made']]) if result['changes_made'] else '⢠No changes needed'}""" # Status based on quality if result['similarity_score'] > 0.85: status = "š Excellent - High quality humanization" elif result['similarity_score'] > 0.75: status = "ā Good - Quality preserved" else: status = "ā ļø Basic - Meaning maintained" return result['humanized_text'], stats, status except Exception as e: error_msg = f"ā Error processing text: {str(e)}" return error_msg, "", "ā Processing failed" def get_system_status(): """Get current system status for display""" if not initialization_status.get('humanizer_loaded'): return "ā System Not Ready", "red" enabled = initialization_status.get('enabled_features', 0) total = initialization_status.get('total_features', 6) completeness = (enabled / total) * 100 if completeness >= 90: return f"š All Systems Ready ({completeness:.0f}%)", "green" elif completeness >= 70: return f"ā System Ready ({completeness:.0f}%)", "green" elif completeness >= 50: return f"ā ļø Basic Features ({completeness:.0f}%)", "orange" else: return f"ā Limited Features ({completeness:.0f}%)", "red" # Initialize the universal humanizer on startup initialization_success = initialize_universal_humanizer() # Create the clean, universal Gradio interface with gr.Blocks( title="š Universal AI Text Humanizer - For All Business Needs", theme=gr.themes.Soft(), css=""" .main-header { text-align: center; background: linear-gradient(135deg, #2c5aa0 0%, #4a90e2 100%); color: white; padding: 30px; border-radius: 15px; margin-bottom: 30px; box-shadow: 0 8px 25px rgba(0,0,0,0.15); } .use-case-badge { background: linear-gradient(135deg, #27ae60 0%, #2ecc71 100%); color: white; padding: 8px 16px; border-radius: 20px; display: inline-block; margin: 5px; font-weight: bold; } .feature-status { text-align: center; padding: 15px; border-radius: 10px; margin: 15px 0; font-weight: bold; font-size: 1.1em; } .status-green { background-color: #d5f4e6; border: 2px solid #27ae60; color: #1e8449; } .status-orange { background-color: #fdeaa7; border: 2px solid #f39c12; color: #b7950b; } .status-red { background-color: #fadbd8; border: 2px solid #e74c3c; color: #c0392b; } .universal-box { background: linear-gradient(135deg, #2c5aa0 0%, #4a90e2 100%); color: white; padding: 20px; border-radius: 15px; margin: 15px 0; } .business-box { background: #f8f9fa; padding: 15px; border-radius: 10px; border-left: 5px solid #4a90e2; margin: 10px 0; } .simple-highlight { background: linear-gradient(135deg, #e8f4fd 0%, #d6eaf8 100%); padding: 15px; border-radius: 10px; margin: 10px 0; border: 2px solid #4a90e2; } .control-panel { background: #f1f3f4; padding: 20px; border-radius: 10px; margin: 10px 0; } """ ) as demo: gr.HTML(f"""
Perfect for ALL Business Needs - E-commerce, Marketing, SEO & More
Simple, clean, and effective - no complex parameters needed
This universal humanizer is designed to work for every type of business content: