add kwargs to google perch

google_bird_classification/preprocessor.py

@@ -18,6 +18,7 @@ class Preprocessor(ppb.PreprocessorBase):
         sample_rate: int = 32000,
         sample_secs: float = 5.0,
         resample_type: str = "kaiser_fast",
+        **kwargs
     ):
         """
         __init__ Construct a new preprocesssor for custom birdnet classifiers from given parameters, and use defaults for the ones not present.
@@ -26,6 +27,7 @@ class Preprocessor(ppb.PreprocessorBase):
             sample_rate (int, optional): The sample rate used to resample the read audio file. Defaults to 48000.
             sample_secs (float, optional): Length of chunks to be analyzed at once. Defaults to 3.0.
             resample_type (str, optional): Resampling method used when reading from file. Defaults to "kaiser_fast".
+            **kwargs: Additional keyword arguments that are not used in this class.
         """
         # README: this class does not have an overlap attribute because the model it works with does not want it.
         super().__init__(