diff --git a/lib/functions.py b/lib/functions.py
index a1bb997d..0906eb81 100644
--- a/lib/functions.py
+++ b/lib/functions.py
@@ -648,92 +648,62 @@ def get_sentences(phoneme_list, max_tokens):
 def get_sentences(phoneme_list, max_tokens):
     """
     Split a list of phoneme strings into sentences that do not exceed max_tokens.
-    If a sentence (or a long concatenation of phonemes) has no punctuation,
-    it is split by grouping words into chunks of max_tokens words.
+    If a sentence has no punctuation and exceeds max_tokens, it is split into chunks.
+    In normal cases, the sentence remains unchanged.
     """
     sentences = []
     current_sentence = ""
     current_token_count = 0
 
-    # Helper: split a sentence into chunks of at most max_tokens words.
+    # Basic splitting by token count.
     def split_sentence_by_tokens(sentence, max_tokens):
         words = sentence.split()
         if len(words) <= max_tokens:
             return [sentence]
-        chunks = []
-        for i in range(0, len(words), max_tokens):
-            chunk = " ".join(words[i:i + max_tokens])
-            chunks.append(chunk)
-        return chunks
-
-    # Helper: attempt to split a long sentence.
-    def split_long_sentence(sentence):
-        # If any punctuation is present, try to split near the middle
+        return [" ".join(words[i:i+max_tokens]) for i in range(0, len(words), max_tokens)]
+
+    # Advanced splitting: only invoked if the sentence exceeds max_tokens.
+    def advanced_split(sentence):
+        words = sentence.split()
+        if len(words) <= max_tokens:
+            return [sentence]
+        # If punctuation exists, attempt to split at punctuation.
         if any(p in sentence for p in punctuation_split):
-            max_chars = max_tokens * 10  # as before
-            if len(sentence) <= max_chars:
-                return [sentence]
-            middle_index = len(sentence) // 2
-            next_punc_index = -1
-            for p in punctuation_split:
-                idx = sentence.find(p, middle_index)
-                if idx != -1:
-                    if next_punc_index == -1 or idx < next_punc_index:
-                        next_punc_index = idx
-            if next_punc_index != -1:
-                split_index = next_punc_index + 1
-                first_part = sentence[:split_index].strip()
-                second_part = sentence[split_index:].strip()
-                # Further split each part by tokens if needed.
-                return split_sentence_by_tokens(first_part, max_tokens) + split_sentence_by_tokens(second_part, max_tokens)
-            else:
-                return split_sentence_by_tokens(sentence, max_tokens)
-        else:
-            # No punctuation found: force split by token count.
-            return split_sentence_by_tokens(sentence, max_tokens)
+            # Find the last punctuation in the sentence.
+            last_punc_index = max(sentence.rfind(p) for p in punctuation_split if p in sentence)
+            if last_punc_index != -1:
+                part1 = sentence[:last_punc_index+1].strip()
+                part2 = sentence[last_punc_index+1:].strip()
+                # Recursively split each part if necessary.
+                return advanced_split(part1) + advanced_split(part2)
+        # Fallback: split by tokens.
+        return split_sentence_by_tokens(sentence, max_tokens)
 
     for phoneme in phoneme_list:
         tokens = phoneme.split()
         token_count = len(tokens)
         if current_token_count + token_count > max_tokens:
-            # If current sentence ends with punctuation, try the splitting helper.
-            if any(current_sentence.endswith(p) for p in punctuation_split):
-                splits = split_long_sentence(current_sentence.strip())
-                sentences.extend(splits)
-                current_sentence = phoneme
-                current_token_count = token_count
+            # Only apply advanced splitting if current_sentence exceeds the token limit.
+            if len(current_sentence.split()) > max_tokens:
+                sentences.extend(advanced_split(current_sentence.strip()))
             else:
-                # Look for the last punctuation inside current_sentence.
-                last_punc_index = -1
-                for p in punctuation_split:
-                    idx = current_sentence.rfind(p)
-                    if idx > last_punc_index:
-                        last_punc_index = idx
-                if last_punc_index != -1:
-                    first_part = current_sentence[:last_punc_index + 1].strip()
-                    second_part = current_sentence[last_punc_index + 1:].strip()
-                    if first_part:
-                        sentences.append(first_part)
-                    # Combine the remainder with the current phoneme.
-                    current_sentence = (second_part + " " + phoneme).strip() if second_part else phoneme
-                    current_token_count = len(current_sentence.split())
-                else:
-                    # No punctuation found at all, force a split.
-                    splits = split_sentence_by_tokens(current_sentence.strip(), max_tokens)
-                    sentences.extend(splits)
-                    current_sentence = phoneme
-                    current_token_count = token_count
+                sentences.append(current_sentence.strip())
+            current_sentence = phoneme
+            current_token_count = token_count
         else:
             current_sentence = (current_sentence + " " + phoneme).strip() if current_sentence else phoneme
             current_token_count += token_count
 
     if current_sentence:
-        splits = split_long_sentence(current_sentence.strip())
-        sentences.extend(splits)
+        if len(current_sentence.split()) > max_tokens:
+            sentences.extend(advanced_split(current_sentence.strip()))
+        else:
+            sentences.append(current_sentence.strip())
 
     return sentences
 
 
+
 def get_vram():
     os_name = platform.system()
     # NVIDIA (Cross-Platform: Windows, Linux, macOS)