Update vc_infer_pipeline.py

vc_infer_pipeline.py

@@ -1,12 +1,23 @@
-import numpy as np, parselmouth, torch, pdb, sys, os
+import numpy as np
+import parselmouth
+import torch
+import pdb
+import sys
 from time import time as ttime
 import torch.nn.functional as F
 import torchcrepe  # Fork feature. Use the crepe f0 algorithm. New dependency (pip install torchcrepe)
 from torch import Tensor
 import scipy.signal as signal
-import pyworld, os, traceback, faiss, librosa, torchcrepe
+import pyworld
+import os
+import traceback
+import faiss
+import librosa
+import torchcrepe
 from scipy import signal
 from functools import lru_cache
+import gc, re
+import random
 
 now_dir = os.getcwd()
 sys.path.append(now_dir)
@@ -303,11 +314,11 @@ class VC(object):
             f0 = self.get_f0_official_crepe_computation(x, f0_min, f0_max)
         elif f0_method == "crepe-tiny":
             f0 = self.get_f0_official_crepe_computation(x, f0_min, f0_max, "tiny")
-        elif f0_method == "mangio-crepe":
+        elif f0_method == "hex-crepe":
             f0 = self.get_f0_crepe_computation(
                 x, f0_min, f0_max, p_len, crepe_hop_length
             )
-        elif f0_method == "mangio-crepe-tiny":
+        elif f0_method == "hex-crepe-tiny":
             f0 = self.get_f0_crepe_computation(
                 x, f0_min, f0_max, p_len, crepe_hop_length, "tiny"
             )