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Update app.py
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app.py
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@@ -18,7 +18,7 @@ model = SpeechT5ForTextToSpeech.from_pretrained("sanchit-gandhi/speecht5_tts_vox
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vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan").to(device)
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embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
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speaker_embeddings = torch.tensor(embeddings_dataset[
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def translate(audio):
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vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan").to(device)
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embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
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speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
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def translate(audio):
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