Update app.py

app.py

@@ -46,7 +46,7 @@ speaker_embedding_female = torch.tensor(embeddings_dataset[7306]["xvector"]).uns
 
 
 
-# Fonction 2 : Texte Wolof -> audio Wolof
+# Fonction 2 : Texte Wolof -> audio Wolof ()
 def text_to_speech_wolof(text, voice_type):
     embedding = speaker_embedding_male if voice_type == "Male" else speaker_embedding_female
     speech = synthesiser_wolof(text, forward_params={"speaker_embeddings": embedding})