mirror of
https://github.com/storytold/storyteller-ml.git
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Justin John
42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
# FakeYou StyleTTS 2 Inference
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import argparse
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import numpy as np
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import soundfile as sf
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from styletts2importable import compute_style, inference
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from tortoise.utils.text import split_and_recombine_text
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def clsynthesize(text_file_path, voice_path, vcsteps):
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# Load the text from the file
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with open(text_file_path, 'r', encoding="utf-8") as file:
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text = file.read()
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# Load the custom voice
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custom_voice = compute_style(voice_path)
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# Split and recombine long text into manageable chunks
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texts = split_and_recombine_text(text)
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audios = []
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for t in texts:
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# Generate audio for each text chunk
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audios.append(inference(t, custom_voice, alpha=0.3, beta=0.7, diffusion_steps=vcsteps, embedding_scale=1))
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return 24000, np.concatenate(audios)
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def main():
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parser = argparse.ArgumentParser(description='CLI for StyleTTS Voice Synthesis')
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parser.add_argument('--input', type=str, required=True, help='Path to the text file')
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parser.add_argument('--voice', type=str, required=True, help='Path to the custom voice audio file')
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parser.add_argument('--vcsteps', type=int, required=True, help='Number of diffusion steps')
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parser.add_argument('--output', type=str, required=True, help='Output path for the synthesized audio file')
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args = parser.parse_args()
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sample_rate, audio = clsynthesize(args.input, args.voice, args.vcsteps)
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# Save the synthesized audio to the specified output path
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sf.write(args.output, audio, sample_rate)
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if __name__ == "__main__":
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main()
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