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samuelleecong
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f63ec58
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Parent(s):
dbfdf1a
Update app.py
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app.py
CHANGED
@@ -9,12 +9,16 @@ from transformers import SpeechT5ForTextToSpeech, SpeechT5HifiGan, SpeechT5Proce
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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# load speech translation checkpoint
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# load text-to-speech checkpoint and speaker embeddings
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processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
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model = SpeechT5ForTextToSpeech.from_pretrained("
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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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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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# load speech translation checkpoint
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asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=device, generate_kwargs = {task : "transcribe", language = swahili})
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# load text-to-speech checkpoint and speaker embeddings
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# processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
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processor = SpeechT5Processor.from_pretrained("samuelleecong/speecht5_finetuned_swahili")
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model = SpeechT5ForTextToSpeech.from_pretrained("samuelleecong/speecht5_finetuned_swahili").to(device)
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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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