Update app.py

app.py

@@ -21,7 +21,7 @@ synthesiser = pipeline("text-to-speech", model_id)  # Use GPU if available
 # Custom function to split Tibetan text into sentences
 def prepare_sentences(text, lang="bod"):
     # Convert Tibetan punctuation "།" into a period to help split sentences
-    text = text.replace("།", ".")
+    text = text.replace("། ", ".")
     
     # Split the text into sentences based on the periods
     sentences = [sentence.strip() for sentence in text.split('.') if sentence.strip()]