mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
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3e81e215a5
Co-authored-by: david <david@ihopeit.com> Co-authored-by: RVC-Boss <129054828+RVC-Boss@users.noreply.github.com>
56 lines
2.5 KiB
Python
56 lines
2.5 KiB
Python
import argparse
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import os
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import soundfile as sf
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from tools.i18n.i18n import I18nAuto
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from GPT_SoVITS.inference_webui import change_gpt_weights, change_sovits_weights, get_tts_wav
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i18n = I18nAuto()
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def synthesize(GPT_model_path, SoVITS_model_path, ref_audio_path, ref_text_path, ref_language, target_text_path, target_language, output_path):
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# Read reference text
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with open(ref_text_path, 'r', encoding='utf-8') as file:
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ref_text = file.read()
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# Read target text
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with open(target_text_path, 'r', encoding='utf-8') as file:
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target_text = file.read()
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# Change model weights
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change_gpt_weights(gpt_path=GPT_model_path)
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change_sovits_weights(sovits_path=SoVITS_model_path)
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# Synthesize audio
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synthesis_result = get_tts_wav(ref_wav_path=ref_audio_path,
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prompt_text=ref_text,
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prompt_language=i18n(ref_language),
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text=target_text,
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text_language=i18n(target_language), top_p=1, temperature=1)
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result_list = list(synthesis_result)
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if result_list:
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last_sampling_rate, last_audio_data = result_list[-1]
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output_wav_path = os.path.join(output_path, "output.wav")
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sf.write(output_wav_path, last_audio_data, last_sampling_rate)
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print(f"Audio saved to {output_wav_path}")
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def main():
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parser = argparse.ArgumentParser(description="GPT-SoVITS Command Line Tool")
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parser.add_argument('--gpt_model', required=True, help="Path to the GPT model file")
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parser.add_argument('--sovits_model', required=True, help="Path to the SoVITS model file")
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parser.add_argument('--ref_audio', required=True, help="Path to the reference audio file")
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parser.add_argument('--ref_text', required=True, help="Path to the reference text file")
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parser.add_argument('--ref_language', required=True, choices=["中文", "英文", "日文"], help="Language of the reference audio")
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parser.add_argument('--target_text', required=True, help="Path to the target text file")
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parser.add_argument('--target_language', required=True, choices=["中文", "英文", "日文", "中英混合", "日英混合", "多语种混合"], help="Language of the target text")
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parser.add_argument('--output_path', required=True, help="Path to the output directory")
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args = parser.parse_args()
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synthesize(args.gpt_model, args.sovits_model, args.ref_audio, args.ref_text, args.ref_language, args.target_text, args.target_language, args.output_path)
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if __name__ == '__main__':
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main()
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