Format code (#89)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

Author: github-actions[bot]

gui.py

@@ -32,10 +32,10 @@ def __init__(
         self.f0_max = 1100
         self.f0_mel_min = 1127 * np.log(1 + self.f0_min / 700)
         self.f0_mel_max = 1127 * np.log(1 + self.f0_max / 700)
-        if index_rate !=0:
+        if index_rate != 0:
             self.index = faiss.read_index(index_path)
             self.big_npy = np.load(npy_path)
-            print('index search enabled')
+            print("index search enabled")
         self.index_rate = index_rate
         model_path = hubert_path
         print("load model(s) from {}".format(model_path))
@@ -111,11 +111,7 @@ def infer(self, feats: torch.Tensor) -> np.ndarray:
             feats = self.model.final_proj(logits[0])
 
         ####索引优化
-        if (
-            hasattr(self,'index')
-            and hasattr(self,'big_npy')
-            and self.index_rate != 0
-        ):
+        if hasattr(self, "index") and hasattr(self, "big_npy") and self.index_rate != 0:
             npy = feats[0].cpu().numpy().astype("float32")
             _, I = self.index.search(npy, 1)
             npy = self.big_npy[I.squeeze()].astype("float16")
@@ -124,7 +120,7 @@ def infer(self, feats: torch.Tensor) -> np.ndarray:
                 + (1 - self.index_rate) * feats
             )
         else:
-            print('index search FAIL or disabled')
+            print("index search FAIL or disabled")
 
         feats = F.interpolate(feats.permute(0, 2, 1), scale_factor=2).permute(0, 2, 1)
         torch.cuda.synchronize()