Update app.py

app.py

@@ -14,9 +14,10 @@ asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base",
 # load text-to-speech checkpoint and speaker embeddings
 processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
 
+print("inside1")
 model = SpeechT5ForTextToSpeech.from_pretrained("Sandiago21/speecht5_finetuned_facebook_voxpopuli_spanish").to(device)
 vocoder = SpeechT5HifiGan.from_pretrained("Sandiago21/speecht5_finetuned_facebook_voxpopuli_spanish").to(device)
-
+print("inside2")
 embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
 speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)