rename new model to google_perch_lite

{google_perch_tflite → google_perch_lite}/model.py

@@ -32,7 +32,7 @@ class Model(ModelBase):
 
         # base class loads the model and labels
         super().__init__(
-            "google_perch_tflite",
+            "google_perch_lite",
             model_path,
             labels_path,
             num_threads=num_threads,

{google_perch_tflite → google_perch_lite}/preprocessor.py

@@ -1,24 +1,26 @@
-import numpy as np 
+import numpy as np
 import iSparrow.preprocessor_base as ppb
 
 
 class Preprocessor(ppb.PreprocessorBase):
 
-    def __init__(self,
+    def __init__(
+        self,
         sample_rate: int = 32000,
         sample_secs: float = 5.0,
         resample_type: str = "kaiser_fast",
-        **kwargs ):
+        **kwargs
+    ):
 
         super().__init__(
-            "google_perch_tflite", 
+            "google_perch_lite",
             sample_rate=sample_rate,
             sample_secs=sample_secs,
             resample_type=resample_type,
             **kwargs
         )
 
-    def process_audio_data(self, rawdata: np.array)->np.array: 
+    def process_audio_data(self, rawdata: np.array) -> np.array:
 
         # raise when sampling rate is unequal.
         if self.actual_sampling_rate != self.sample_rate:
@@ -48,17 +50,16 @@ class Preprocessor(ppb.PreprocessorBase):
                 split = temp
 
             self.chunks.append(split)
-            
+
         print(
             "process audio data google: complete, read ",
             str(len(self.chunks)),
             "chunks.",
-            flush=True
+            flush=True,
         )
 
         return self.chunks
 
-
     @classmethod
     def from_cfg(cls, cfg: dict):