fix Config, GUIConfig and self (#340)

Co-authored-by: RVC-Boss <[email protected]>

Author: Tps-F

gui.py

@@ -16,7 +16,7 @@
 sys.path.append(now_dir)
 from config import Config as MyConfig
 
-is_half = MyConfig().is_half
+Config = Config()
 import PySimpleGUI as sg
 import sounddevice as sd
 import noisereduce as nr
@@ -71,7 +71,7 @@ def __init__(
             )
             self.model = models[0]
             self.model = self.model.to(device)
-            if is_half == True:
+            if Config.is_half:
                 self.model = self.model.half()
             else:
                 self.model = self.model.float()
@@ -81,25 +81,24 @@ def __init__(
             cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
             self.if_f0 = cpt.get("f0", 1)
             self.version = cpt.get("version", "v1")
-            
             if self.version == "v1":
                 if self.if_f0 == 1:
                     self.net_g = SynthesizerTrnMs256NSFsid(
-                        *cpt["config"], is_half=self.config.is_half
+                        *cpt["config"], is_half=Config.is_half
                     )
                 else:
                     self.net_g = SynthesizerTrnMs256NSFsid_nono(*cpt["config"])
             elif self.version == "v2":
                 if self.if_f0 == 1:
                     self.net_g = SynthesizerTrnMs768NSFsid(
-                        *cpt["config"], is_half=self.config.is_half
+                        *cpt["config"], is_half=Config.is_half
                     )
                 else:
                     self.net_g = SynthesizerTrnMs768NSFsid_nono(*cpt["config"])
             del self.net_g.enc_q
             print(self.net_g.load_state_dict(cpt["weight"], strict=False))
             self.net_g.eval().to(device)
-            if is_half == True:
+            if Config.is_half:
                 self.net_g = self.net_g.half()
             else:
                 self.net_g = self.net_g.float()
@@ -160,7 +159,7 @@ def infer(self, feats: torch.Tensor) -> np.ndarray:
         torch.cuda.synchronize()
         with torch.no_grad():
             logits = self.model.extract_features(**inputs)
-            feats = model.final_proj(logits[0]) if self.version == "v1" else logits[0]
+            feats = self.model.final_proj(logits[0]) if self.version == "v1" else logits[0]
 
         ####索引优化
         try:
@@ -174,7 +173,7 @@ def infer(self, feats: torch.Tensor) -> np.ndarray:
                 weight = np.square(1 / score)
                 weight /= weight.sum(axis=1, keepdims=True)
                 npy = np.sum(self.big_npy[ix] * np.expand_dims(weight, axis=2), axis=1)
-                if is_half == True:
+                if Config.is_half:
                     npy = npy.astype("float16")
                 feats = (
                     torch.from_numpy(npy).unsqueeze(0).to(device) * self.index_rate
@@ -220,7 +219,7 @@ def infer(self, feats: torch.Tensor) -> np.ndarray:
         return infered_audio
 
 
-class Config:
+class GUIConfig:
     def __init__(self) -> None:
         self.hubert_path: str = ""
         self.pth_path: str = ""
@@ -240,7 +239,7 @@ def __init__(self) -> None:
 
 class GUI:
     def __init__(self) -> None:
-        self.config = Config()
+        self.config = GUIConfig()
         self.flag_vc = False
 
         self.launcher()