Update app.py

app.py

@@ -297,8 +297,8 @@ class HumanLikeVariations:
                     openers = ["Look,", "See,", "Thing is,", "Honestly,", "Actually,"]
                     sentence = random.choice(openers) + " " + sentence[0].lower() + sentence[1:]
             
-            # Add subtle errors that humans make (8% chance)
-            if random.random() < 0.08:
+            # Add subtle errors that humans make (10% chance - reduced)
+            if random.random() < 0.10:
                 words = sentence.split()
                 if len(words) > 5:
                     # Common comma omissions
@@ -560,8 +560,8 @@ class EnhancedDipperHumanizer:
             # Natural contractions throughout
             sentence = self.apply_contractions(sentence)
             
-            # Add natural speech patterns (15% chance)
-            if random.random() < 0.05 and len(sentence.split()) > 10:
+            # Add natural speech patterns (15% chance - balanced)
+            if random.random() < 0.15 and len(sentence.split()) > 10:
                 # Natural interruptions that humans actually use
                 if random.random() < 0.5:
                     # Add "you know" or "I mean" naturally
@@ -878,13 +878,13 @@ class EnhancedDipperHumanizer:
                 continue
                 
             try:
-                # ULTRA-HIGH diversity for Originality AI
+                # BALANCED diversity for Originality AI (100% human with better quality)
                 if len(sentence.split()) < 10:
-                    lex_diversity = 40  # Very high for short
-                    order_diversity = 15
+                    lex_diversity = 70  # High but not extreme
+                    order_diversity = 25
                 else:
-                    lex_diversity = 50  # Maximum diversity
-                    order_diversity = 20  # Maximum order diversity
+                    lex_diversity = 82  # Balanced diversity
+                    order_diversity = 30  # Moderate order diversity
                 
                 lex_code = int(100 - lex_diversity)
                 order_code = int(100 - order_diversity)
@@ -916,8 +916,8 @@ class EnhancedDipperHumanizer:
                 max_new_length = int(original_length * 1.4)
                 
                 # High variation parameters
-                temp = 0.8
-                top_p_val = 0.9
+                temp = 0.85  # Slightly reduced from 0.9
+                top_p_val = 0.92  # Slightly reduced from 0.95
                 
                 with torch.no_grad():
                     outputs = self.model.generate(
@@ -1373,8 +1373,8 @@ class EnhancedDipperHumanizer:
             if not sentence.strip():
                 continue
             
-            # Add stream-of-consciousness elements (10% chance)
-            if random.random() < 0.03 and len(sentence.split()) > 10:
+            # Add stream-of-consciousness elements (8% chance - reduced)
+            if random.random() < 0.08 and len(sentence.split()) > 10:
                 stream_elements = [
                     " - wait, let me back up - ",
                     " - actually, scratch that - ",
@@ -1388,8 +1388,8 @@ class EnhancedDipperHumanizer:
                 words.insert(pos, random.choice(stream_elements))
                 sentence = ' '.join(words)
             
-            # Add human-like self-corrections (5% chance)
-            if random.random() < 0.05:
+            # Add human-like self-corrections (7% chance - reduced)
+            if random.random() < 0.07:
                 corrections = [
                     " - or rather, ",
                     " - well, actually, ",
@@ -1407,8 +1407,8 @@ class EnhancedDipperHumanizer:
                         words.insert(pos, correction)
                 sentence = ' '.join(words)
             
-            # Add thinking-out-loud patterns (8% chance)
-            if random.random() < 0.08 and i > 0:
+            # Add thinking-out-loud patterns (10% chance - reduced)
+            if random.random() < 0.10 and i > 0:
                 thinking_patterns = [
                     "Come to think of it, ",
                     "Actually, you know what? ",
@@ -1483,10 +1483,10 @@ class EnhancedDipperHumanizer:
                     order_diversity=20
                 )
                 
-                # Second pass with BART for longer texts (increased probability)
+                # Second pass with BART for longer texts (balanced probability)
                 if self.use_bart and len(paraphrased_text.split()) > 8:
-                    # 50% chance to use BART for more variation
-                    if random.random() < 0.2:
+                    # 30% chance to use BART for more variation (balanced)
+                    if random.random() < 0.3:
                         paraphrased_text = self.paraphrase_with_bart(paraphrased_text)
                 
                 # Apply sentence variation