Update app.py

app.py

@@ -17,7 +17,7 @@ model = SpeechT5ForTextToSpeech.from_pretrained("microsoft/speecht5_tts")
 vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
 
 embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
-speaker_embeddings = torch.tensor(embeddings_dataset[144]["https://huggingface.co/gitgato/mabama/resolve/main/speaker_embedding.pt"]).unsqueeze(0)
+speaker_embeddings = torch.tensor(embeddings_dataset[144]["gitgato/mabama"]).unsqueeze(0)
 
 def synthesise(text):
     inputs = processor(text=text, return_tensors="pt")