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()