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open_dubbing/text_to_speech_mms.py

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@@ -60,7 +60,7 @@ def _convert_text_to_speech(
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output_np = np.array([], dtype=np.int16)
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sampling_rate = 16000
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logger().warning(
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"TextToSpeechMMS._convert_text_to_speech. Model returns input tokens for text '{text}', generating an empty WAV file."
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f"TextToSpeechMMS._convert_text_to_speech. Model returns input tokens for text '{text}', generating an empty WAV file."
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)
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else:
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with torch.no_grad():

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