Update app.py

app.py

@@ -6,14 +6,15 @@ from datasets import load_dataset
 from transformers import SpeechT5ForTextToSpeech, SpeechT5HifiGan, SpeechT5Processor, pipeline
 
 
-device = "cuda:0" if torch.cuda.is_available() else "cpu"
+#device = "cuda:0" if torch.cuda.is_available() else "cpu"
+device = "cpu"
 
 # load speech translation checkpoint
 asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=device)
 
 # load text-to-speech checkpoint and speaker embeddings
-processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
-
+#processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
+processor = SpeechT5Processor.from_pretrained("aoliveira/speecht5_finetuned_voxpopuli_sk")
 model = SpeechT5ForTextToSpeech.from_pretrained("aoliveira/speecht5_finetuned_voxpopuli_sk").to(device)
 #model = SpeechT5ForTextToSpeech.from_pretrained("sanchit-gandhi/speecht5_tts_vox_nl").to(device)
 vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan").to(device)