Update app.py

app.py

@@ -80,11 +80,13 @@ 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)
+    print(type(speaker_embeddings))
     inputs = processor_tts(text=text, return_tensors="pt")
     speech = model_tts.generate_speech(
         inputs["input_ids"], speaker_embeddings, vocoder=vocoder
     )
     print(speech)
+    print(type(speech))
     return speech
 
 def speech_to_speech_translation(audio_filepath):