Update app.py

app.py

@@ -17,7 +17,7 @@ model = SpeechT5ForTextToSpeech.from_pretrained("gitgato/mabama")
 vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
 
 embeddings_dataset = load_dataset("ovieyra21/mabama-v5", split="train")
-speaker_embeddings = torch.tensor(embeddings_dataset[144]["xvector"]).unsqueeze(0)
+speaker_embeddings = torch.tensor("gitgato/mabama").unsqueeze(0)
 
 def synthesise(text):
     inputs = processor(text=text, return_tensors="pt")