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import argparse
import os
import soundfile as sf
from tools.i18n.i18n import I18nAuto
from inference_webui import change_gpt_weights, change_sovits_weights, get_tts_wav
import hashlib
i18n = I18nAuto()
def get_tts_cache_key(model_name, text, prompt_audio_path):
"""
生成 TTS 缓存 key: md5(模型+文本+md5(prompt音频内容))
:param model_name: str
:param text: str
:param prompt_audio_path: str or None
:return: str (md5 hash)
"""
prompt_md5 = ''
if prompt_audio_path and os.path.exists(prompt_audio_path):
with open(prompt_audio_path, 'rb') as f:
prompt_content = f.read()
prompt_md5 = hashlib.md5(prompt_content).hexdigest()
key_str = f"{model_name}::{text}::{prompt_md5}"
return hashlib.md5(key_str.encode('utf-8')).hexdigest()
def synthesize(GPT_model_path, SoVITS_model_path, ref_audio_path, ref_text, ref_language, target_text, target_language, output_path):
# 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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