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import argparse
import os
import soundfile as sf
from tools.i18n.i18n import I18nAuto
from GPT_SoVITS.inference_webui import change_gpt_weights, change_sovits_weights, get_tts_wav
i18n = I18nAuto()
def synthesize(
GPT_model_path,
SoVITS_model_path,
ref_audio_path,
ref_text_path,
ref_language,
target_text_path,
target_language,
output_path,
):
# Read reference text
with open(ref_text_path, "r", encoding="utf-8") as file:
ref_text = file.read()
# Read target text
with open(target_text_path, "r", encoding="utf-8") as file:
target_text = file.read()
# Change model weights
change_gpt_weights(gpt_path=GPT_model_path)
change_sovits_weights(sovits_path=SoVITS_model_path)
# Synthesize audio
synthesis_result = get_tts_wav(
ref_wav_path=ref_audio_path,
prompt_text=ref_text,
prompt_language=i18n(ref_language),
text=target_text,
text_language=i18n(target_language),
top_p=1,
temperature=1,
)
result_list = list(synthesis_result)
if result_list:
last_sampling_rate, last_audio_data = result_list[-1]
output_wav_path = os.path.join(output_path, "output.wav")
sf.write(output_wav_path, last_audio_data, last_sampling_rate)
print(f"Audio saved to {output_wav_path}")
def main():
parser = argparse.ArgumentParser(description="GPT-SoVITS Command Line Tool")
parser.add_argument("--gpt_model", required=True, help="Path to the GPT model file")
parser.add_argument("--sovits_model", required=True, help="Path to the SoVITS model file")
parser.add_argument("--ref_audio", required=True, help="Path to the reference audio file")
parser.add_argument("--ref_text", required=True, help="Path to the reference text file")
parser.add_argument(
"--ref_language", required=True, choices=["中文", "英文", "日文"], help="Language of the reference audio"
)
parser.add_argument("--target_text", required=True, help="Path to the target text file")
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",
)
parser.add_argument("--output_path", required=True, help="Path to the output directory")
args = parser.parse_args()
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,
)
if __name__ == "__main__":
main()
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