Update app.py

app.py

@@ -61,20 +61,7 @@ except Exception as e:
     st.error(f"Details: {str(e)}")
 
 # Helper Functions
-def add_human_noise(output_text):
-    noise_phrases = [
-        "you know,", "like I said,", "to be honest,", "frankly,", 
-        "truth be told,", "I mean,", "well, honestly,", "if I'm being real,"
-    ]
-    filler_words = ["uh,", "um,", "so,", "well,", "I guess,"]
-    sentences = output_text.split(". ")
-    noisy_sentences = [
-        f"{random.choice(noise_phrases)} {sentence}" if random.random() < 0.2 else sentence
-        for sentence in sentences
-    ]
-    return ". ".join(noisy_sentences)
-
-def adjust_sentence_structure(output_text):
+def adjust_sentence_structure(output_text, tone):
     sentences = output_text.split(". ")
     adjusted_sentences = []
 
@@ -82,24 +69,24 @@ def adjust_sentence_structure(output_text):
         words = sentence.split()
         if len(words) > 15:
             split_point = random.randint(len(words) // 3, 2 * len(words) // 3)
-            adjusted_sentences.append(" ".join(words[:split_point]) + ", you know,")
+            adjusted_sentences.append(" ".join(words[:split_point]))
             adjusted_sentences.append(" ".join(words[split_point:]))
         else:
             adjusted_sentences.append(sentence)
-    
+
     return ". ".join(adjusted_sentences)
 
 def check_grammar(output_text):
     if tool is None:
-        return output_text  # Skip grammar check if LanguageTool isn't initialized
+        return output_text
     matches = tool.check(output_text)
     corrected_text = tool.correct(output_text)
     return corrected_text
 
 def refine_humanization(output_text, tone, iteration):
     refinement_prompt = (
-        f"Refine the following text to sound natural, slightly imperfect, and conversational. "
-        f"Ensure it aligns with a {tone} tone: {output_text}"
+        f"Refine the following text to sound professional and natural, avoiding repetitive patterns. "
+        f"Ensure it matches a {tone} tone. Here's the text: {output_text}"
     )
     try:
         refinement_response = client.chat.completions.create(
@@ -109,13 +96,13 @@ def refine_humanization(output_text, tone, iteration):
         )
         refined_text = refinement_response.choices[0].message.content.strip()
 
+        # Apply structure adjustments in later iterations
         if iteration > 1:
-            refined_text = add_human_noise(refined_text)
-            refined_text = adjust_sentence_structure(refined_text)
+            refined_text = adjust_sentence_structure(refined_text, tone)
 
         return check_grammar(refined_text)
     except Exception:
-        return output_text  # Return original output if refinement fails
+        return output_text
 
 def split_text_into_chunks(text, max_words=500):
     words = text.split()