Update vc_infer_pipeline.py

vc_infer_pipeline.py

@@ -18,7 +18,6 @@ bh, ah = signal.butter(N=5, Wn=48, btype="high", fs=16000)
 input_audio_path2wav = {}
 
 
-
 def change_rms(data1, sr1, data2, sr2, rate):  # 1是输入音频，2是输出音频,rate是2的占比
     # print(data1.max(),data2.max())
     rms1 = librosa.feature.rms(
@@ -91,7 +90,7 @@ class VC(object):
         if inp_f0 is not None:
             delta_t = np.round(
                 (inp_f0[:, 0].max() - inp_f0[:, 0].min()) * tf0 + 1
-            ).astype("int16")
+            ).astype(np.int16)
             replace_f0 = np.interp(
                 list(range(delta_t)), inp_f0[:, 0] * 100, inp_f0[:, 1]
             )
@@ -107,7 +106,7 @@ class VC(object):
         ) + 1
         f0_mel[f0_mel <= 1] = 1
         f0_mel[f0_mel > 255] = 255
-        f0_coarse = np.rint(f0_mel).astype(np.int)
+        f0_coarse = np.rint(f0_mel).astype(int)  # Changed from np.int to int
         return f0_coarse, f0bak  # 1-0
 
     def vc(
@@ -389,4 +388,4 @@ class VC(object):
         del pitch, pitchf, sid
         if torch.cuda.is_available():
             torch.cuda.empty_cache()
-        return audio_opt
+        return audio_opt