Update app.py

app.py

@@ -12,7 +12,7 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=device)
 
 # load text-to-speech checkpoint and speaker embeddings
-processor = SpeechT5Processor.from_pretrained("uancopi81/speecht5_finetuned_voxpopuli_es")
+processor = SpeechT5Processor.from_pretrained("juancopi81/speecht5_finetuned_voxpopuli_es")
 
 model = SpeechT5ForTextToSpeech.from_pretrained("juancopi81/speecht5_finetuned_voxpopuli_es").to(device)
 vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan").to(device)