Update app.py

app.py

@@ -79,11 +79,12 @@ def synthesise(text):
 
     # Convert the embedding to a PyTorch tensor and add a batch dimension
     #speaker_embeddings = torch.tensor(embedding_array).unsqueeze(0)
-
+    print(speaker_embeddings)
     inputs = processor_tts(text=text, return_tensors="pt")
     speech = model_tts.generate_speech(
         inputs["input_ids"], speaker_embeddings, vocoder=vocoder
     )
+    print(speech)
     return speech
 
 def speech_to_speech_translation(audio_filepath):