fix

GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py

@@ -15,7 +15,7 @@ from GPT_SoVITS.text import cleaned_text_to_sequence
 from transformers import AutoModelForMaskedLM, AutoTokenizer
 from TTS_infer_pack.text_segmentation_method import split_big_text, splits, get_method as get_seg_method
 
-from tools.i18n.i18n import I18nAuto, scan_language_list
+from GPT_SoVITS.tools..i18n.i18n import I18nAuto, scan_language_list
 
 language=os.environ.get("language","Auto")
 language=sys.argv[-1] if sys.argv[-1] in scan_language_list() else language

GPT_SoVITS/api_v2.py

@@ -117,7 +117,7 @@ import uvicorn
 
 from importlib.resources import files
 from io import BytesIO
-from tools.i18n.i18n import I18nAuto
+from GPT_SoVITS.tools..i18n.i18n import I18nAuto
 from GPT_SoVITS.TTS_infer_pack.TTS import TTS, TTS_Config
 from GPT_SoVITS.TTS_infer_pack.text_segmentation_method import get_method_names as get_cut_method_names
 from fastapi.responses import StreamingResponse

GPT_SoVITS/inference_cli.py

@@ -2,7 +2,7 @@ import argparse
 import os
 import soundfile as sf
 
-from tools.i18n.i18n import I18nAuto
+from GPT_SoVITS.tools..i18n.i18n import I18nAuto
 from GPT_SoVITS.inference_webui import change_gpt_weights, change_sovits_weights, get_tts_wav
 
 i18n = I18nAuto()

GPT_SoVITS/inference_gui.py

@@ -5,7 +5,7 @@ from PyQt5.QtWidgets import QApplication, QMainWindow, QLabel, QLineEdit, QPushB
 from PyQt5.QtWidgets import QGridLayout, QVBoxLayout, QWidget, QFileDialog, QStatusBar, QComboBox
 import soundfile as sf
 
-from tools.i18n.i18n import I18nAuto
+from GPT_SoVITS.tools..i18n.i18n import I18nAuto
 i18n = I18nAuto()
 
 from inference_webui import gpt_path, sovits_path, change_gpt_weights, change_sovits_weights, get_tts_wav

GPT_SoVITS/inference_webui.py

@@ -89,8 +89,8 @@ from GPT_SoVITS.text import cleaned_text_to_sequence
 from GPT_SoVITS.text.cleaner import clean_text
 from time import time as ttime
 from GPT_SoVITS.module.mel_processing import spectrogram_torch
-from tools.my_utils import load_audio
-from tools.i18n.i18n import I18nAuto, scan_language_list
+from GPT_SoVITS.tools..my_utils import load_audio
+from GPT_SoVITS.tools..i18n.i18n import I18nAuto, scan_language_list
 
 language=os.environ.get("language","Auto")
 language=sys.argv[-1] if sys.argv[-1] in scan_language_list() else language

GPT_SoVITS/inference_webui_fast.py

@@ -46,7 +46,7 @@ version=os.environ.get("version","v2")
 import gradio as gr
 from TTS_infer_pack.TTS import TTS, TTS_Config
 from TTS_infer_pack.text_segmentation_method import get_method
-from tools.i18n.i18n import I18nAuto, scan_language_list
+from GPT_SoVITS.tools..i18n.i18n import I18nAuto, scan_language_list
 
 language=os.environ.get("language","Auto")
 language=sys.argv[-1] if sys.argv[-1] in scan_language_list() else language

GPT_SoVITS/onnx_export.py

@@ -10,7 +10,7 @@ cnhubert.cnhubert_base_path = cnhubert_base_path
 ssl_model = cnhubert.get_model()
 from GPT_SoVITS.text import cleaned_text_to_sequence
 import soundfile
-from tools.my_utils import load_audio
+from GPT_SoVITS.tools..my_utils import load_audio
 import os
 import json
 

GPT_SoVITS/prepare_datasets/1-get-text.py

@@ -21,7 +21,7 @@ from tqdm import tqdm
 from GPT_SoVITS.text.cleaner import clean_text
 from transformers import AutoModelForMaskedLM, AutoTokenizer
 import numpy as np
-from tools.my_utils import clean_path
+from GPT_SoVITS.tools..my_utils import clean_path
 
 # inp_text=sys.argv[1]
 # inp_wav_dir=sys.argv[2]

GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py

@@ -19,7 +19,7 @@ from scipy.io import wavfile
 import librosa
 now_dir = os.getcwd()
 sys.path.append(now_dir)
-from tools.my_utils import load_audio,clean_path
+from GPT_SoVITS.tools..my_utils import load_audio,clean_path
 
 # from config import cnhubert_base_path
 # cnhubert.cnhubert_base_path=cnhubert_base_path

GPT_SoVITS/prepare_datasets/3-get-semantic.py

@@ -24,7 +24,7 @@ from glob import glob
 from tqdm import tqdm
 import logging, librosa, utils
 from GPT_SoVITS.module.models import SynthesizerTrn
-from tools.my_utils import clean_path
+from GPT_SoVITS.tools..my_utils import clean_path
 logging.getLogger("numba").setLevel(logging.WARNING)
 # from config import pretrained_s2G
 

GPT_SoVITS/process_ckpt.py

@@ -3,7 +3,7 @@ from collections import OrderedDict
 from time import time as ttime
 import shutil,os
 import torch
-from tools.i18n.i18n import I18nAuto
+from GPT_SoVITS.tools..i18n.i18n import I18nAuto
 
 i18n = I18nAuto()
 

GPT_SoVITS/tools/asr/fasterwhisper_asr.py

@@ -9,7 +9,7 @@ import torch
 from faster_whisper import WhisperModel
 from tqdm import tqdm
 
-from tools.asr.config import check_fw_local_models
+from GPT_SoVITS.tools..asr.config import check_fw_local_models
 
 language_code_list = [
     "af", "am", "ar", "as", "az", 
@@ -69,7 +69,7 @@ def execute_asr(input_folder, output_folder, model_size, language, precision):
             if info.language == "zh":
                 print("检测为中文文本, 转 FunASR 处理")
                 if("only_asr" not in globals()):
-                    from tools.asr.funasr_asr import only_asr  #如果用英文就不需要导入下载模型
+                    from GPT_SoVITS.tools..asr.funasr_asr import only_asr  #如果用英文就不需要导入下载模型
                 text = only_asr(file_path, language=info.language.lower())
 
             if text == '':

GPT_SoVITS/tools/my_utils.py

@@ -2,7 +2,7 @@ import platform,os,traceback
 import ffmpeg
 import numpy as np
 import gradio as gr
-from tools.i18n.i18n import I18nAuto
+from GPT_SoVITS.tools..i18n.i18n import I18nAuto
 import pandas as pd
 i18n = I18nAuto(language=os.environ.get('language','Auto'))
 

GPT_SoVITS/tools/slice_audio.py

@@ -3,7 +3,7 @@ import traceback
 from scipy.io import wavfile
 # parent_directory = os.path.dirname(os.path.abspath(__file__))
 # sys.path.append(parent_directory)
-from tools.my_utils import load_audio
+from GPT_SoVITS.tools..my_utils import load_audio
 from slicer2 import Slicer
 
 def slice(inp,opt_root,threshold,min_length,min_interval,hop_size,max_sil_kept,_max,alpha,i_part,all_part):

GPT_SoVITS/tools/uvr5/webui.py

@@ -1,8 +1,8 @@
 import os
 import traceback,gradio as gr
 import logging
-from tools.i18n.i18n import I18nAuto
-from tools.my_utils import clean_path
+from GPT_SoVITS.tools..i18n.i18n import I18nAuto
+from GPT_SoVITS.tools..my_utils import clean_path
 i18n = I18nAuto()
 
 logger = logging.getLogger(__name__)

api.py

@@ -167,7 +167,7 @@ from GPT_SoVITS.AR.models.t2s_lightning_module import Text2SemanticLightningModu
 from GPT_SoVITS.text import cleaned_text_to_sequence
 from GPT_SoVITS.text.cleaner import clean_text
 from GPT_SoVITS.module.mel_processing import spectrogram_torch
-from tools.my_utils import load_audio
+from GPT_SoVITS.tools..my_utils import load_audio
 import config as global_config
 import logging
 import subprocess