Refactor: Format Code with Ruff and Update Deprecated G2PW Link (#2255)

* ruff check --fix

* ruff format --line-length 120 --target-version py39

* Change the link for G2PW Model

* update pytorch version and colab

GPT_SoVITS/prepare_datasets/3-get-semantic.py

@@ -5,13 +5,15 @@ exp_name = os.environ.get("exp_name")
 i_part = os.environ.get("i_part")
 all_parts = os.environ.get("all_parts")
 if "_CUDA_VISIBLE_DEVICES" in os.environ:
-     os.environ["CUDA_VISIBLE_DEVICES"] = os.environ["_CUDA_VISIBLE_DEVICES"]
+    os.environ["CUDA_VISIBLE_DEVICES"] = os.environ["_CUDA_VISIBLE_DEVICES"]
 opt_dir = os.environ.get("opt_dir")
 pretrained_s2G = os.environ.get("pretrained_s2G")
 s2config_path = os.environ.get("s2config_path")
 
-if os.path.exists(pretrained_s2G):...
-else:raise FileNotFoundError(pretrained_s2G)
+if os.path.exists(pretrained_s2G):
+    ...
+else:
+    raise FileNotFoundError(pretrained_s2G)
 # version=os.environ.get("version","v2")
 size = os.path.getsize(pretrained_s2G)
 if size < 82978 * 1024:
@@ -25,23 +27,22 @@ elif size < 700 * 1024 * 1024:
 else:
     version = "v3"
 import torch
+
 is_half = eval(os.environ.get("is_half", "True")) and torch.cuda.is_available()
-import math, traceback
-import multiprocessing
-import sys, pdb
+import traceback
+import sys
 
 now_dir = os.getcwd()
 sys.path.append(now_dir)
-from random import shuffle
-import torch.multiprocessing as mp
-from glob import glob
-from tqdm import tqdm
-import logging, librosa, utils
-if version!="v3":
+import logging
+import utils
+
+if version != "v3":
     from module.models import SynthesizerTrn
 else:
     from module.models import SynthesizerTrnV3 as SynthesizerTrn
 from tools.my_utils import clean_path
+
 logging.getLogger("numba").setLevel(logging.WARNING)
 # from config import pretrained_s2G
 
@@ -70,7 +71,7 @@ if os.path.exists(semantic_path) == False:
         hps.train.segment_size // hps.data.hop_length,
         n_speakers=hps.data.n_speakers,
         version=version,
-        **hps.model
+        **hps.model,
     )
     if is_half == True:
         vq_model = vq_model.half().to(device)
@@ -107,7 +108,7 @@ if os.path.exists(semantic_path) == False:
         try:
             # wav_name,text=line.split("\t")
             wav_name, spk_name, language, text = line.split("|")
-            wav_name=clean_path(wav_name)
+            wav_name = clean_path(wav_name)
             wav_name = os.path.basename(wav_name)
             # name2go(name,lines1)
             name2go(wav_name, lines1)