default

app.py

@@ -61,7 +61,7 @@ def split_text_into_chunks(text, max_tokens):
     
     return chunks
 
-def textToSpeech(speaker="543", expression):
+def textToSpeech(speaker="543", expression=""):
     speaker_embeddings = torch.tensor(embeddings_dataset[int(speaker)]["xvector"]).unsqueeze(0).to(device)
     max_token_limit = 600  # Set the token limit for your model
     chunks = split_text_into_chunks(expression, max_token_limit)