chore(format): run black on dev (#2)

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

rvc/onnx/infer.py

@@ -6,6 +6,7 @@ from onnx.f0predictor import PMF0Predictor
 from onnx.f0predictor import HarvestF0Predictor
 from onnx.f0predictor import DioF0Predictor
 
+
 class ContentVec:
     def __init__(self, vec_path: str, device=None):
         if device == "cpu" or device is None:
@@ -30,12 +31,14 @@ class ContentVec:
         logits = self.model.run(None, onnx_input)[0]
         return logits.transpose(0, 2, 1)
 
+
 predicters = {
     "pm": PMF0Predictor,
     "harvest": HarvestF0Predictor,
     "dio": DioF0Predictor,
 }
 
+
 def get_f0_predictor(f0_method, hop_length, sampling_rate):
     return predicters[f0_method](hop_length=hop_length, sampling_rate=sampling_rate)
 

tools/onnx/onnx_inference_demo.py

@@ -9,7 +9,7 @@ f0_up_key = 0  # 升降调
 sid = 0  # 角色ID
 f0_method = "dio"  # F0提取算法
 model_path = "exported_model.onnx"  # 模型的完整路径
-vec_path = "vec-256-layer-9.onnx" # 需要onnx的vec模型
+vec_path = "vec-256-layer-9.onnx"  # 需要onnx的vec模型
 wav_path = "123.wav"  # 输入路径或ByteIO实例
 out_path = "out.wav"  # 输出路径或ByteIO实例