changes

app.py

@@ -32,272 +32,349 @@ def download_nltk_data():
 
 download_nltk_data()
 
-class AIContentHumanizer:
+class AdvancedAIHumanizer:
     def __init__(self):
-        self.setup_humanization_patterns()
+        self.setup_comprehensive_patterns()
 
-    def setup_humanization_patterns(self):
-        """Setup comprehensive patterns for maximum humanization"""
-        # Avoid AI-flagged terms completely
-        self.ai_flagged_terms = {
-            r'\brealm\b': ["world", "area", "field", "space", "domain"],
-            r'\bdelve\b': ["explore", "dig into", "look at", "examine", "dive into"],
-            r'\bembark\b': ["start", "begin", "kick off", "launch into"],
+    def setup_comprehensive_patterns(self):
+        """Setup the most comprehensive humanization patterns"""
+        
+        # AI-flagged terms that must be completely eliminated
+        self.ai_death_terms = {
+            r'\brealm\b': ["world", "space", "area", "field", "zone"],
+            r'\bdelve\b': ["dig into", "explore", "look at", "check out", "dive into"],
+            r'\bembark\b': ["start", "begin", "kick off", "jump into", "get going"],
             r'\ba testament to\b': ["shows", "proves", "demonstrates", "reflects"],
-            r'\bthe landscape of\b': ["the world of", "the field of", "the area of"],
-            r'\bnavigating\b': ["dealing with", "handling", "managing", "working through"],
-            r'\bmeticulous\b': ["careful", "detailed", "thorough", "precise"],
-            r'\bintricate\b': ["complex", "detailed", "complicated", "elaborate"],
-            r'\bfurthermore\b': ["plus", "also", "and", "what's more"],
-            r'\bmoreover\b': ["also", "plus", "and", "on top of that"],
+            r'\bthe landscape of\b': ["the world of", "what's happening in", "the scene in"],
+            r'\bnavigating\b': ["dealing with", "handling", "figuring out", "working through"],
+            r'\bmeticulous\b': ["super careful", "really detailed", "thorough", "precise"],
+            r'\bintricate\b': ["complex", "detailed", "tricky", "complicated"],
+            r'\bfurthermore\b': ["plus", "also", "and", "on top of that"],
+            r'\bmoreover\b': ["also", "plus", "and", "what's more"],
             r'\bhowever\b': ["but", "though", "yet", "still"],
             r'\bnevertheless\b': ["but", "still", "even so", "anyway"],
-            r'\btherefore\b': ["so", "thus", "that's why", "because of this"],
-            r'\bconsequently\b': ["so", "as a result", "because of this"],
-            r'\bin conclusion\b': ["to wrap up", "bottom line", "all in all"],
-            r'\bit is important to note\b': ["worth mentioning", "keep in mind", "note that"],
-            r'\bit should be noted\b': ["remember", "keep in mind", "note that"],
-            r'\bsignificant\b': ["big", "major", "important", "huge"],
-            r'\bsubstantial\b': ["big", "large", "major", "significant"],
+            r'\btherefore\b': ["so", "that's why", "because of this", "which means"],
+            r'\bconsequently\b': ["so", "as a result", "because of this", "that's why"],
+            r'\bin conclusion\b': ["to wrap up", "bottom line", "all in all", "so basically"],
+            r'\bit is important to note\b': ["worth mentioning", "keep in mind", "remember"],
+            r'\bit should be noted\b': ["remember", "keep in mind", "don't forget"],
+            r'\bsignificant\b': ["big", "major", "huge", "important"],
+            r'\bsubstantial\b': ["big", "large", "major", "huge"],
             r'\bcomprehensive\b': ["complete", "full", "thorough", "detailed"],
-            r'\boptimal\b': ["best", "ideal", "perfect", "top"],
-            r'\bfacilitate\b': ["help", "make easier", "enable", "assist"],
-            r'\butilize\b': ["use", "employ", "apply", "work with"],
-            r'\bleverage\b': ["use", "take advantage of", "make use of"],
+            r'\boptimal\b': ["best", "perfect", "ideal", "top-notch"],
+            r'\bfacilitate\b': ["help", "make easier", "enable", "assist with"],
+            r'\butilize\b': ["use", "work with", "employ", "make use of"],
+            r'\bleverage\b': ["use", "take advantage of", "make use of", "tap into"],
             r'\benhance\b': ["improve", "boost", "make better", "upgrade"],
-            r'\bimplement\b': ["put in place", "set up", "start using", "apply"]
+            r'\bimplement\b': ["put in place", "set up", "start using", "roll out"],
+            r'\bparadigm\b': ["approach", "way", "method", "system"],
+            r'\bmethodology\b': ["method", "approach", "way", "system"],
+            r'\bsynergy\b': ["teamwork", "working together", "collaboration"],
+            r'\boptimize\b': ["improve", "make better", "fine-tune", "perfect"],
+            r'\bstreamline\b': ["simplify", "make easier", "smooth out"],
+            r'\brobust\b': ["strong", "solid", "reliable", "tough"],
+            r'\bscalable\b': ["flexible", "adaptable", "expandable"],
+            r'\bseamless\b': ["smooth", "easy", "effortless", "simple"],
+            r'\binnovative\b': ["new", "creative", "fresh", "cutting-edge"],
+            r'\bgroundbreaking\b': ["amazing", "revolutionary", "game-changing"],
+            r'\btransformative\b': ["life-changing", "game-changing", "revolutionary"],
+            r'\bparadigm shift\b': ["big change", "major shift", "game changer"],
+            r'\bgame changer\b': ["total game changer", "complete shift", "major breakthrough"],
+            r'\bcutting-edge\b': ["latest", "newest", "state-of-the-art", "advanced"],
+            r'\bstate-of-the-art\b': ["latest", "newest", "most advanced", "top-notch"]
         }
         
-        # More natural contractions
+        # Extensive contractions for natural speech
         self.contractions = {
-            r'\bdo not\b': "don't",
-            r'\bdoes not\b': "doesn't", 
-            r'\bdid not\b': "didn't",
-            r'\bwill not\b': "won't",
-            r'\bwould not\b': "wouldn't",
-            r'\bcould not\b': "couldn't",
-            r'\bshould not\b': "shouldn't",
-            r'\bcannot\b': "can't",
-            r'\bis not\b': "isn't",
-            r'\bare not\b': "aren't",
-            r'\bwas not\b': "wasn't",
-            r'\bwere not\b': "weren't",
-            r'\bhave not\b': "haven't",
-            r'\bhas not\b': "hasn't",
-            r'\bhad not\b': "hadn't",
-            r'\bI will\b': "I'll",
-            r'\byou will\b': "you'll",
-            r'\bhe will\b': "he'll",
-            r'\bshe will\b': "she'll",
-            r'\bwe will\b': "we'll",
-            r'\bthey will\b': "they'll",
-            r'\bI would\b': "I'd",
-            r'\byou would\b': "you'd",
-            r'\bI have\b': "I've",
-            r'\byou have\b': "you've",
-            r'\bwe have\b': "we've",
-            r'\bthey have\b': "they've",
-            r'\bthat is\b': "that's",
-            r'\bit is\b': "it's",
-            r'\bwho is\b': "who's",
-            r'\bwhat is\b': "what's",
-            r'\bwhere is\b': "where's"
+            r'\bdo not\b': "don't", r'\bdoes not\b': "doesn't", r'\bdid not\b': "didn't",
+            r'\bwill not\b': "won't", r'\bwould not\b': "wouldn't", r'\bcould not\b': "couldn't",
+            r'\bshould not\b': "shouldn't", r'\bcannot\b': "can't", r'\bis not\b': "isn't",
+            r'\bare not\b': "aren't", r'\bwas not\b': "wasn't", r'\bwere not\b': "weren't",
+            r'\bhave not\b': "haven't", r'\bhas not\b': "hasn't", r'\bhad not\b': "hadn't",
+            r'\bI will\b': "I'll", r'\byou will\b': "you'll", r'\bhe will\b': "he'll",
+            r'\bshe will\b': "she'll", r'\bwe will\b': "we'll", r'\bthey will\b': "they'll",
+            r'\bI would\b': "I'd", r'\byou would\b': "you'd", r'\bI have\b': "I've",
+            r'\byou have\b': "you've", r'\bwe have\b': "we've", r'\bthey have\b': "they've",
+            r'\bthat is\b': "that's", r'\bit is\b': "it's", r'\bwho is\b': "who's",
+            r'\bwhat is\b': "what's", r'\bwhere is\b': "where's", r'\bwhen is\b': "when's",
+            r'\bhow is\b': "how's", r'\bwhy is\b': "why's", r'\bthere is\b': "there's",
+            r'\bthere are\b': "there're", r'\bhere is\b': "here's"
         }
         
-        # Casual conversation starters
-        self.conversation_starters = [
-            "Look,", "Listen,", "Here's the thing -", "You know what?", 
-            "Honestly,", "Real talk -", "Let me tell you,", "So here's what I think -",
-            "Okay, so", "Right, so", "Well,", "Actually,", "Basically,"
+        # Conversation starters that sound human
+        self.human_starters = [
+            "Look,", "Listen,", "Here's the thing -", "You know what?", "Honestly,", 
+            "Real talk -", "Let me tell you,", "So here's what I think -", "Okay, so",
+            "Right, so", "Well,", "Actually,", "Basically,", "Here's what's wild -",
+            "Get this -", "Check it out -", "So I was thinking -", "You know what's crazy?",
+            "Here's something interesting -", "Let me break this down for you -"
         ]
         
         # Natural fillers and expressions
-        self.natural_expressions = [
-            "you know", "I mean", "like", "actually", "basically", 
-            "honestly", "literally", "obviously", "clearly", "definitely",
-            "pretty much", "kind of", "sort of", "more or less", "at the end of the day",
+        self.natural_fillers = [
+            "you know", "I mean", "like", "actually", "basically", "honestly", 
+            "literally", "obviously", "clearly", "definitely", "pretty much", 
+            "kind of", "sort of", "more or less", "at the end of the day",
             "when it comes down to it", "if you ask me", "in my experience",
-            "from what I've seen", "the way I see it"
+            "from what I've seen", "the way I see it", "real quick", "super quick",
+            "really fast", "pretty cool", "kinda weird", "sorta like"
         ]
         
         # Personal perspective phrases
-        self.personal_phrases = [
+        self.personal_voices = [
             "I think", "in my opinion", "from my experience", "personally",
             "if you ask me", "the way I see it", "from what I've seen",
             "in my view", "as I see it", "my take is", "I believe",
-            "it seems to me", "I'd say", "my guess is"
+            "it seems to me", "I'd say", "my guess is", "from where I sit",
+            "in my book", "if I'm being honest", "to be real with you"
         ]
+        
+        # Casual replacements for formal words
+        self.casual_replacements = {
+            r'\bvery\b': ["super", "really", "pretty", "totally", "extremely"],
+            r'\bextremely\b': ["super", "really", "incredibly", "totally"],
+            r'\bexcellent\b': ["awesome", "amazing", "fantastic", "great"],
+            r'\bsuperior\b': ["better", "way better", "much better", "superior"],
+            r'\binferior\b': ["worse", "not as good", "weaker", "inferior"],
+            r'\bnumerous\b': ["tons of", "loads of", "plenty of", "lots of"],
+            r'\bmultiple\b': ["several", "a bunch of", "various", "different"],
+            r'\badditional\b': ["more", "extra", "other", "additional"],
+            r'\bsubsequent\b': ["next", "following", "after that", "then"],
+            r'\bprevious\b': ["last", "earlier", "before", "previous"],
+            r'\binitial\b': ["first", "starting", "beginning", "initial"],
+            r'\bfinal\b': ["last", "ending", "final", "closing"]
+        }
+
+    def extract_core_meaning(self, sentence):
+        """Extract the core meaning from a sentence for reconstruction"""
+        # Remove common AI phrases and get to the point
+        cleaned = sentence
+        for pattern in self.ai_death_terms.keys():
+            cleaned = re.sub(pattern, "", cleaned, flags=re.IGNORECASE)
+        
+        # Simplify and extract main idea
+        cleaned = re.sub(r'\b(that|which|who)\b', '', cleaned)
+        cleaned = re.sub(r'\s+', ' ', cleaned).strip()
+        
+        return cleaned
 
-    def replace_ai_phrases(self, text):
-        """Aggressively replace AI-flagged terms"""
-        for pattern, replacements in self.ai_flagged_terms.items():
-            while re.search(pattern, text, re.IGNORECASE):
+    def aggressive_phrase_elimination(self, text):
+        """Aggressively eliminate all AI-flagged terms"""
+        for pattern, replacements in self.ai_death_terms.items():
+            count = 0
+            while re.search(pattern, text, re.IGNORECASE) and count < 10:
                 replacement = random.choice(replacements)
                 text = re.sub(pattern, replacement, text, flags=re.IGNORECASE, count=1)
+                count += 1
         return text
 
-    def add_contractions(self, text):
-        """Add extensive contractions"""
+    def add_extensive_contractions(self, text):
+        """Add comprehensive contractions"""
         for pattern, contraction in self.contractions.items():
             text = re.sub(pattern, contraction, text, flags=re.IGNORECASE)
         return text
 
-    def add_human_imperfections(self, text):
-        """Add subtle human-like imperfections"""
+    def inject_personality(self, text):
+        """Inject strong personality and voice"""
         sentences = sent_tokenize(text)
-        modified_sentences = []
+        personality_injected = []
         
-        for sentence in sentences:
-            # Add occasional typos that are quickly corrected
-            if random.random() < 0.1:
+        for i, sentence in enumerate(sentences):
+            # Add personal starters
+            if random.random() < 0.4:
+                starter = random.choice(self.human_starters)
+                sentence = f"{starter} {sentence.lower()}"
+                sentence = sentence[0].upper() + sentence[1:]
+            
+            # Add personal opinions
+            if random.random() < 0.3:
+                opinion = random.choice(self.personal_voices)
+                sentence = f"{opinion}, {sentence.lower()}"
+                sentence = sentence[0].upper() + sentence[1:]
+            
+            # Add casual expressions
+            if random.random() < 0.35:
                 words = sentence.split()
                 if len(words) > 5:
-                    # Add a self-correction
-                    correction_phrases = ["I mean", "or rather", "well, actually", "sorry,"]
-                    correction = random.choice(correction_phrases)
-                    insert_pos = random.randint(2, len(words) - 2)
-                    words.insert(insert_pos, f"- {correction} -")
+                    insert_pos = random.randint(2, min(len(words)-2, 5))
+                    filler = random.choice(self.natural_fillers)
+                    words.insert(insert_pos, f"{filler},")
                     sentence = " ".join(words)
             
-            # Add hesitation markers
-            if random.random() < 0.15:
-                hesitations = ["um,", "uh,", "well,", "so,", "like,"]
-                hesitation = random.choice(hesitations)
-                sentence = f"{hesitation} {sentence.lower()}"
-                sentence = sentence[0].upper() + sentence[1:]
-            
-            modified_sentences.append(sentence)
+            personality_injected.append(sentence)
         
-        return " ".join(modified_sentences)
+        return " ".join(personality_injected)
 
-    def vary_sentence_structure_advanced(self, text):
-        """Advanced sentence structure variation"""
+    def add_human_imperfections(self, text):
+        """Add natural human speech patterns and imperfections"""
         sentences = sent_tokenize(text)
-        varied_sentences = []
+        imperfect_sentences = []
         
-        for i, sentence in enumerate(sentences):
-            words = sentence.split()
-            
-            # Add conversation starters randomly
-            if random.random() < 0.25 and len(words) > 6:
-                starter = random.choice(self.conversation_starters)
-                sentence = f"{starter} {sentence.lower()}"
+        for sentence in sentences:
+            # Add hesitations and self-corrections
+            if random.random() < 0.15:
+                hesitations = ["um,", "uh,", "well,", "so,", "like,", "you know,"]
+                hesitation = random.choice(hesitations)
+                sentence = f"{hesitation} {sentence.lower()}"
                 sentence = sentence[0].upper() + sentence[1:]
             
-            # Break long sentences with interjections
-            if len(words) > 15 and random.random() < 0.4:
-                mid_point = len(words) // 2
-                interjection = random.choice(["- and this is key -", "- here's the thing -", "- get this -"])
-                words.insert(mid_point, interjection)
-                sentence = " ".join(words)
+            # Add self-corrections
+            if random.random() < 0.1:
+                corrections = ["I mean", "or rather", "well, actually", "sorry", "wait"]
+                correction = random.choice(corrections)
+                words = sentence.split()
+                if len(words) > 6:
+                    insert_pos = random.randint(3, len(words) - 2)
+                    words.insert(insert_pos, f"— {correction} —")
+                    sentence = " ".join(words)
             
-            # Add questions to engage reader
-            if random.random() < 0.2 and i > 0:
-                questions = ["Right?", "You know?", "Make sense?", "See what I mean?"]
-                sentence += f" {random.choice(questions)}"
+            # Add emphasis and interjections
+            if random.random() < 0.2:
+                emphasis = ["(seriously)", "(no joke)", "(trust me)", "(for real)", "(I'm not kidding)"]
+                sentence += f" {random.choice(emphasis)}"
             
-            varied_sentences.append(sentence)
+            imperfect_sentences.append(sentence)
         
-        return " ".join(varied_sentences)
+        return " ".join(imperfect_sentences)
 
-    def add_personal_touches_advanced(self, text):
-        """Add extensive personal touches"""
+    def restructure_sentences_completely(self, text):
+        """Completely restructure sentences to break AI patterns"""
         sentences = sent_tokenize(text)
+        restructured = []
         
-        # Add personal anecdotes
-        if len(sentences) > 3 and random.random() < 0.3:
-            anecdotes = [
-                "I've been there myself, and",
-                "From my own experience,",
-                "I remember when I first learned this -",
-                "This reminds me of something that happened to me -"
-            ]
-            insert_pos = random.randint(1, len(sentences) - 2)
-            anecdote = random.choice(anecdotes)
-            sentences[insert_pos] = f"{anecdote} {sentences[insert_pos].lower()}"
-        
-        # Add personal opinions
-        for i in range(len(sentences)):
-            if random.random() < 0.3:
-                personal_phrase = random.choice(self.personal_phrases)
-                sentences[i] = f"{personal_phrase}, {sentences[i].lower()}"
-                sentences[i] = sentences[i][0].upper() + sentences[i][1:]
-        
-        return " ".join(sentences)
-
-    def add_casual_punctuation_advanced(self, text):
-        """Advanced casual punctuation"""
-        # Add em dashes for emphasis
-        text = re.sub(r'(\w+)\. ([A-Z])', r'\1 — \2', text)
-        
-        # Add ellipses for pauses
-        if random.random() < 0.4:
-            text = re.sub(r'(\w+)\.', r'\1...', text, count=random.randint(1, 2))
-        
-        # Add parenthetical asides
-        sentences = sent_tokenize(text)
-        if len(sentences) > 2 and random.random() < 0.3:
-            asides = ["(trust me on this)", "(I know, I know)", "(bear with me)", "(you'll see why)"]
-            insert_pos = random.randint(1, len(sentences) - 1)
-            aside = random.choice(asides)
-            sentences[insert_pos] += f" {aside}"
+        for sentence in sentences:
+            words = sentence.split()
+            
+            # Break long sentences into conversational chunks
+            if len(words) > 12:
+                mid_point = len(words) // 2
+                first_part = " ".join(words[:mid_point])
+                second_part = " ".join(words[mid_point:])
+                
+                connectors = [
+                    "Here's the thing:",
+                    "Let me explain:",
+                    "Think about it:",
+                    "What I mean is:",
+                    "Here's what's interesting:",
+                    "Check this out:"
+                ]
+                
+                connector = random.choice(connectors)
+                new_sentence = f"{first_part}. {connector} {second_part.lower()}"
+                restructured.append(new_sentence)
+            else:
+                # Add conversational elements to shorter sentences
+                if random.random() < 0.3:
+                    questions = ["Right?", "You know?", "Make sense?", "See what I mean?", "You feel me?"]
+                    sentence += f" {random.choice(questions)}"
+                
+                restructured.append(sentence)
         
-        return " ".join(sentences)
+        return " ".join(restructured)
 
-    def add_natural_fillers_advanced(self, text):
-        """Add extensive natural conversation fillers"""
+    def add_specific_examples(self, text):
+        """Add specific examples and numbers to make content unique"""
         sentences = sent_tokenize(text)
+        enhanced = []
         
-        for i in range(len(sentences)):
-            if random.random() < 0.4:
-                filler = random.choice(self.natural_expressions)
-                # Insert filler at different positions
-                words = sentences[i].split()
-                if len(words) > 4:
-                    insert_pos = random.randint(1, min(3, len(words) - 1))
-                    words.insert(insert_pos, f"{filler},")
-                    sentences[i] = " ".join(words)
+        for sentence in sentences:
+            enhanced.append(sentence)
+            
+            # Randomly add specific examples
+            if random.random() < 0.25:
+                examples = [
+                    "For example, I saw this happen just last week when...",
+                    "Like, take my friend Sarah - she tried this and...",
+                    "I remember reading about a company that increased their results by 150% doing this...",
+                    "Just yesterday, I was talking to someone who...",
+                    "There was this study I read that showed 73% of people...",
+                    "My neighbor actually tried this approach and...",
+                ]
+                enhanced.append(random.choice(examples))
         
-        return " ".join(sentences)
+        return " ".join(enhanced)
 
-    def add_colloquialisms(self, text):
-        """Add colloquial expressions and slang"""
-        colloquial_replacements = {
-            r'\bvery good\b': ["pretty great", "really solid", "super good"],
-            r'\bvery bad\b': ["pretty awful", "really rough", "super bad"],
-            r'\bvery important\b': ["super important", "really key", "pretty crucial"],
-            r'\ba lot of\b': ["tons of", "loads of", "plenty of", "heaps of"],
-            r'\bmany people\b': ["lots of folks", "tons of people", "loads of people"],
-            r'\bquickly\b': ["fast", "in a flash", "super quick"],
-            r'\bslowly\b': ["at a snail's pace", "pretty slow", "taking forever"]
-        }
-        
-        for pattern, replacements in colloquial_replacements.items():
+    def apply_casual_language(self, text):
+        """Apply casual language patterns"""
+        for pattern, replacements in self.casual_replacements.items():
             if re.search(pattern, text, re.IGNORECASE):
                 replacement = random.choice(replacements)
                 text = re.sub(pattern, replacement, text, flags=re.IGNORECASE)
         
         return text
 
-    def clean_text_advanced(self, text):
-        """Advanced text cleaning with natural formatting"""
-        # Fix spacing issues
+    def add_conversational_flow(self, text):
+        """Add natural conversational flow"""
+        paragraphs = text.split('\n\n')
+        conversational_paragraphs = []
+        
+        for para in paragraphs:
+            sentences = sent_tokenize(para)
+            
+            # Add transitions between sentences
+            enhanced_sentences = []
+            for i, sentence in enumerate(sentences):
+                enhanced_sentences.append(sentence)
+                
+                # Add conversational bridges
+                if i < len(sentences) - 1 and random.random() < 0.2:
+                    bridges = [
+                        "And here's the crazy part:",
+                        "But wait, there's more:",
+                        "Now, here's where it gets interesting:",
+                        "Oh, and another thing:",
+                        "Plus, get this:"
+                    ]
+                    enhanced_sentences.append(random.choice(bridges))
+            
+            conversational_paragraphs.append(" ".join(enhanced_sentences))
+        
+        return "\n\n".join(conversational_paragraphs)
+
+    def final_cleanup_and_polish(self, text):
+        """Final cleanup while maintaining human imperfections"""
+        # Fix basic spacing
         text = re.sub(r'\s+', ' ', text)
         text = re.sub(r'\s+([,.!?])', r'\1', text)
         
-        # Fix capitalization after sentence starters and interjections
+        # Fix capitalization but keep some casual elements
         text = re.sub(r'([.!?]\s+)([a-z])', lambda m: m.group(1) + m.group(2).upper(), text)
-        text = re.sub(r'(^|\. )([a-z])', lambda m: m.group(1) + m.group(2).upper(), text)
         
         # Ensure first letter is capitalized
         if text and text[0].islower():
             text = text[0].upper() + text[1:]
         
-        # Clean up multiple punctuation
-        text = re.sub(r'([.!?]){2,}', r'\1', text)
+        # Keep some casual punctuation
+        text = re.sub(r'([.!?]){3,}', r'\1\1\1', text)
         
         return text.strip()
 
+    def ultra_humanize(self, text, passes=3):
+        """Apply multiple passes of humanization for maximum effect"""
+        current_text = text
+        
+        for pass_num in range(passes):
+            print(f"Humanization pass {pass_num + 1}/{passes}")
+            
+            # Core humanization steps
+            current_text = self.aggressive_phrase_elimination(current_text)
+            current_text = self.add_extensive_contractions(current_text)
+            current_text = self.apply_casual_language(current_text)
+            current_text = self.inject_personality(current_text)
+            current_text = self.restructure_sentences_completely(current_text)
+            current_text = self.add_human_imperfections(current_text)
+            current_text = self.add_specific_examples(current_text)
+            current_text = self.add_conversational_flow(current_text)
+            
+            # Additional pass-specific enhancements
+            if pass_num == 1:
+                current_text = self.aggressive_phrase_elimination(current_text)  # Second elimination
+            elif pass_num == 2:
+                current_text = self.inject_personality(current_text)  # Extra personality
+        
+        return self.final_cleanup_and_polish(current_text)
+
     def get_readability_score(self, text):
         """Calculate readability score"""
         try:
@@ -311,8 +388,8 @@ class AIContentHumanizer:
         except Exception as e:
             return f"Could not calculate readability: {str(e)}"
 
-    def humanize_text(self, text, intensity="heavy"):
-        """Main method to humanize AI-generated text with maximum effectiveness"""
+    def humanize_text(self, text, intensity="ultra"):
+        """Main humanization method"""
         if not text or not text.strip():
             return "Please provide text to humanize."
         
@@ -325,33 +402,24 @@ class AIContentHumanizer:
                 if not test_tokens:
                     raise Exception("NLTK tokenization failed")
             except Exception as nltk_error:
-                return f"NLTK Error: {str(nltk_error)}. Please try again or contact support."
+                return f"NLTK Error: {str(nltk_error)}. Please try again."
             
-            # Apply aggressive humanization for 0% AI detection
-            text = self.replace_ai_phrases(text)
-            text = self.add_contractions(text)
-            text = self.add_colloquialisms(text)
+            # Apply ultra-aggressive humanization
+            if intensity == "ultra":
+                result = self.ultra_humanize(text, passes=3)
+            elif intensity == "heavy":
+                result = self.ultra_humanize(text, passes=2)
+            else:
+                result = self.ultra_humanize(text, passes=1)
             
-            if intensity in ["medium", "heavy"]:
-                text = self.vary_sentence_structure_advanced(text)
-                text = self.add_personal_touches_advanced(text)
-                text = self.add_casual_punctuation_advanced(text)
-                text = self.add_natural_fillers_advanced(text)
-                
-            if intensity == "heavy":
-                text = self.add_human_imperfections(text)
-                # Apply multiple passes for maximum humanization
-                text = self.replace_ai_phrases(text)  # Second pass
-                text = self.add_natural_fillers_advanced(text)  # Second pass
-                
-            return self.clean_text_advanced(text)
+            return result
             
         except Exception as e:
-            return f"Error processing text: {str(e)}\n\nOriginal text: {text}"
+            return f"Error processing text: {str(e)}"
 
 def create_interface():
-    """Create the Gradio interface"""
-    humanizer = AIContentHumanizer()
+    """Create the advanced Gradio interface"""
+    humanizer = AdvancedAIHumanizer()
     
     def process_text(input_text, intensity):
         if not input_text:
@@ -363,47 +431,115 @@ def create_interface():
         except Exception as e:
             return f"Error: {str(e)}", "Processing error"
 
-    with gr.Blocks(title="AI Content Humanizer - 0% Detection", theme=gr.themes.Soft()) as interface:
-        gr.Markdown("""# 🤖➡️👤 Advanced AI Content Humanizer
-**Achieve 0% AI Detection Score** - Transform AI content into completely human-sounding text!""")
+    # Custom CSS for better styling
+    custom_css = """
+    .gradio-container {
+        max-width: 1200px !important;
+    }
+    .main-header {
+        text-align: center;
+        background: linear-gradient(45deg, #FF6B6B, #4ECDC4);
+        -webkit-background-clip: text;
+        -webkit-text-fill-color: transparent;
+        font-size: 2.5em !important;
+        font-weight: bold;
+        margin-bottom: 20px;
+    }
+    """
+
+    with gr.Blocks(title="Ultra AI Humanizer - 0% Detection", theme=gr.themes.Soft(), css=custom_css) as interface:
+        gr.HTML("""
+        <div class="main-header">
+            🤖➡️👤 ULTRA AI HUMANIZER
+        </div>
+        <div style="text-align: center; margin-bottom: 30px;">
+            <h3>🎯 Achieve TRUE 0% AI Detection Score</h3>
+            <p style="font-size: 1.1em; color: #666;">
+                Advanced multi-pass humanization with personality injection, 
+                conversational restructuring, and human imperfection simulation
+            </p>
+        </div>
+        """)
         
         with gr.Row():
-            with gr.Column():
+            with gr.Column(scale=1):
                 input_text = gr.Textbox(
-                    label="AI-generated Text", 
-                    lines=10, 
-                    placeholder="Paste your AI-generated text here for maximum humanization..."
+                    label="🤖 AI-Generated Text Input", 
+                    lines=12, 
+                    placeholder="Paste your AI-generated content here for ultra-humanization...\n\nThe more text you provide, the better the humanization results!",
+                    info="💡 Tip: Longer texts (200+ words) get better humanization results"
                 )
+                
                 intensity = gr.Radio(
-                    ["light", "medium", "heavy"], 
-                    value="heavy", 
-                    label="Humanization Level",
-                    info="Heavy mode recommended for 0% AI detection"
+                    choices=[
+                        ("Light Humanization", "light"),
+                        ("Heavy Humanization", "heavy"), 
+                        ("🚀 ULTRA Humanization (Recommended)", "ultra")
+                    ], 
+                    value="ultra", 
+                    label="🎛️ Humanization Intensity",
+                    info="Ultra mode applies 3 passes of advanced humanization techniques"
+                )
+                
+                btn = gr.Button(
+                    "🚀 HUMANIZE TO 0% AI DETECTION", 
+                    variant="primary", 
+                    size="lg",
+                    elem_id="humanize-btn"
                 )
-                btn = gr.Button("🚀 Humanize for 0% AI Detection", variant="primary", size="lg")
             
-            with gr.Column():
+            with gr.Column(scale=1):
                 output_text = gr.Textbox(
-                    label="Humanized Text (0% AI Detection)", 
-                    lines=10, 
-                    show_copy_button=True
+                    label="👤 Humanized Text Output (0% AI Detection)", 
+                    lines=12, 
+                    show_copy_button=True,
+                    info="✅ Copy this text - it should pass all AI detectors"
                 )
-                readability = gr.Textbox(label="Readability Score", lines=3)
-        
-        gr.Markdown("""
-        ### 💡 Tips for 0% AI Detection:
-        - Use **Heavy** mode for maximum humanization
-        - The tool adds natural conversation patterns, personal touches, and human imperfections
-        - Removes all AI-flagged terms and phrases
-        - Test your output with multiple AI detectors for verification
+                
+                readability = gr.Textbox(
+                    label="📊 Readability Analysis", 
+                    lines=3,
+                    info="Lower grade levels are more conversational and human-like"
+                )
+        
+        gr.HTML("""
+        <div style="margin-top: 30px; padding: 20px; background: #f0f8ff; border-radius: 10px;">
+            <h3>🎯 How This Achieves 0% AI Detection:</h3>
+            <ul style="text-align: left; margin: 10px 0;">
+                <li><strong>🔥 Aggressive Phrase Elimination:</strong> Removes ALL AI-flagged terms and patterns</li>
+                <li><strong>💬 Personality Injection:</strong> Adds personal voice, opinions, and conversational style</li>
+                <li><strong>🔄 Multi-Pass Processing:</strong> Applies humanization techniques multiple times</li>
+                <li><strong>🎭 Human Imperfections:</strong> Adds natural hesitations, self-corrections, and casual speech</li>
+                <li><strong>📝 Sentence Restructuring:</strong> Completely rebuilds sentence patterns</li>
+                <li><strong>💡 Specific Examples:</strong> Injects unique examples and personal anecdotes</li>
+            </ul>
+            <p style="margin-top: 15px; font-weight: bold; color: #2E8B57;">
+                ✨ Test your results with Originality.ai, GPTZero, and other AI detectors!
+            </p>
+        </div>
         """)
         
-        btn.click(fn=process_text, inputs=[input_text, intensity], outputs=[output_text, readability])
-        input_text.submit(fn=process_text, inputs=[input_text, intensity], outputs=[output_text, readability])
+        # Event handlers
+        btn.click(
+            fn=process_text, 
+            inputs=[input_text, intensity], 
+            outputs=[output_text, readability]
+        )
+        
+        input_text.submit(
+            fn=process_text, 
+            inputs=[input_text, intensity], 
+            outputs=[output_text, readability]
+        )
     
     return interface
 
 if __name__ == "__main__":
-    print("Starting Advanced AI Content Humanizer for 0% Detection...")
+    print("🚀 Starting Ultra AI Humanizer for 0% Detection...")
     app = create_interface()
-    app.launch(server_name="0.0.0.0", server_port=7860, show_error=True)
+    app.launch(
+        server_name="0.0.0.0", 
+        server_port=7860, 
+        show_error=True,
+        share=False
+    )