Update app.py

app.py

@@ -298,7 +298,7 @@ class HumanLikeVariations:
                     sentence = random.choice(openers) + " " + sentence[0].lower() + sentence[1:]
             
             # Add subtle errors that humans make (15% chance - increased from 8%)
-            if random.random() < 0.15:
+            if random.random() < 0.10:
                 words = sentence.split()
                 if len(words) > 5:
                     # Common comma omissions
@@ -561,7 +561,7 @@ class EnhancedDipperHumanizer:
             sentence = self.apply_contractions(sentence)
             
             # Add natural speech patterns (25% chance - increased from 15%)
-            if random.random() < 0.25 and len(sentence.split()) > 10:
+            if random.random() < 0.20 and len(sentence.split()) > 10:
                 # Natural interruptions that humans actually use
                 if random.random() < 0.5:
                     # Add "you know" or "I mean" naturally
@@ -916,8 +916,8 @@ class EnhancedDipperHumanizer:
                 max_new_length = int(original_length * 1.4)
                 
                 # High variation parameters
-                temp = 0.9  # Increased from 0.8
-                top_p_val = 0.95  # Increased from 0.9
+                temp = 0.82  # Increased from 0.8
+                top_p_val = 0.9  # Increased from 0.9
                 
                 with torch.no_grad():
                     outputs = self.model.generate(
@@ -1374,7 +1374,7 @@ class EnhancedDipperHumanizer:
                 continue
             
             # Add stream-of-consciousness elements (15% chance - increased from 10%)
-            if random.random() < 0.15 and len(sentence.split()) > 10:
+            if random.random() < 0.12 and len(sentence.split()) > 10:
                 stream_elements = [
                     " - wait, let me back up - ",
                     " - actually, scratch that - ",
@@ -1389,7 +1389,7 @@ class EnhancedDipperHumanizer:
                 sentence = ' '.join(words)
             
             # Add human-like self-corrections (10% chance - increased from 5%)
-            if random.random() < 0.10:
+            if random.random() < 0.7:
                 corrections = [
                     " - or rather, ",
                     " - well, actually, ",
@@ -1408,7 +1408,7 @@ class EnhancedDipperHumanizer:
                 sentence = ' '.join(words)
             
             # Add thinking-out-loud patterns (15% chance - increased from 8%)
-            if random.random() < 0.15 and i > 0:
+            if random.random() < 0.10 and i > 0:
                 thinking_patterns = [
                     "Come to think of it, ",
                     "Actually, you know what? ",
@@ -1486,7 +1486,7 @@ class EnhancedDipperHumanizer:
                 # Second pass with BART for longer texts (increased probability)
                 if self.use_bart and len(paraphrased_text.split()) > 8:
                     # 40% chance to use BART for more variation (increased from 20%)
-                    if random.random() < 0.4:
+                    if random.random() < 0.3:
                         paraphrased_text = self.paraphrase_with_bart(paraphrased_text)
                 
                 # Apply sentence variation