为api_v2和inference_webui_fast适配V3版本 (#2188)

* modified:   GPT_SoVITS/TTS_infer_pack/TTS.py
	modified:   GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py
	modified:   GPT_SoVITS/inference_webui_fast.py

* 适配V3版本

* api_v2.py和inference_webui_fast.py的v3适配

* 修改了个远古bug,增加了更友好的提示信息

* 优化webui

* 修改为正确的path

* 修复v3 lora模型的载入问题

* 修复读取tts_infer.yaml文件时遇到的编码不匹配的问题

GPT_SoVITS/BigVGAN/alias_free_activation/torch/act.py

@@ -2,7 +2,7 @@
 #   LICENSE is in incl_licenses directory.
 
 import torch.nn as nn
-from alias_free_activation.torch.resample import UpSample1d, DownSample1d
+from .resample import UpSample1d, DownSample1d
 
 
 class Activation1d(nn.Module):

GPT_SoVITS/BigVGAN/alias_free_activation/torch/resample.py

@@ -3,8 +3,8 @@
 
 import torch.nn as nn
 from torch.nn import functional as F
-from alias_free_activation.torch.filter import LowPassFilter1d
-from alias_free_activation.torch.filter import kaiser_sinc_filter1d
+from .filter import LowPassFilter1d
+from .filter import kaiser_sinc_filter1d
 
 
 class UpSample1d(nn.Module):

GPT_SoVITS/BigVGAN/bigvgan.py

@@ -14,10 +14,10 @@ import torch.nn as nn
 from torch.nn import Conv1d, ConvTranspose1d
 from torch.nn.utils import weight_norm, remove_weight_norm
 
-import activations
-from utils0 import init_weights, get_padding
-from alias_free_activation.torch.act import Activation1d as TorchActivation1d
-from env import AttrDict
+from . import activations
+from .utils0 import init_weights, get_padding
+from .alias_free_activation.torch.act import Activation1d as TorchActivation1d
+from .env import AttrDict
 
 from huggingface_hub import PyTorchModelHubMixin, hf_hub_download
 
@@ -93,7 +93,7 @@ class AMPBlock1(torch.nn.Module):
 
         # Select which Activation1d, lazy-load cuda version to ensure backward compatibility
         if self.h.get("use_cuda_kernel", False):
-            from alias_free_activation.cuda.activation1d import (
+            from .alias_free_activation.cuda.activation1d import (
                 Activation1d as CudaActivation1d,
             )
 
@@ -193,7 +193,7 @@ class AMPBlock2(torch.nn.Module):
 
         # Select which Activation1d, lazy-load cuda version to ensure backward compatibility
         if self.h.get("use_cuda_kernel", False):
-            from alias_free_activation.cuda.activation1d import (
+            from .alias_free_activation.cuda.activation1d import (
                 Activation1d as CudaActivation1d,
             )
 
@@ -271,7 +271,7 @@ class BigVGAN(
 
         # Select which Activation1d, lazy-load cuda version to ensure backward compatibility
         if self.h.get("use_cuda_kernel", False):
-            from alias_free_activation.cuda.activation1d import (
+            from .alias_free_activation.cuda.activation1d import (
                 Activation1d as CudaActivation1d,
             )
 

GPT_SoVITS/BigVGAN/meldataset.py

@@ -15,7 +15,7 @@ from librosa.filters import mel as librosa_mel_fn
 import pathlib
 from tqdm import tqdm
 from typing import List, Tuple, Optional
-from env import AttrDict
+from .env import AttrDict
 
 MAX_WAV_VALUE = 32767.0  # NOTE: 32768.0 -1 to prevent int16 overflow (results in popping sound in corner cases)
 

GPT_SoVITS/BigVGAN/utils0.py

@@ -9,7 +9,7 @@ from torch.nn.utils import weight_norm
 
 matplotlib.use("Agg")
 import matplotlib.pylab as plt
-from meldataset import MAX_WAV_VALUE
+from .meldataset import MAX_WAV_VALUE
 from scipy.io.wavfile import write