minor fixes

model.py

@@ -15,6 +15,7 @@
 # limitations under the License.
 
 import wave
+from functools import lru_cache
 from typing import List, Tuple
 
 import numpy as np
@@ -47,6 +48,7 @@ def read_wave(wave_filename: str) -> Tuple[np.ndarray, int]:
         return samples_float32, f.getframerate()
 
 
+@lru_cache(maxsize=30)
 def _get_nn_model_filename(
     repo_id: str,
     filename: str,
@@ -105,12 +107,14 @@ def get_speaker_diarization(
         min_duration_on=0.3,
         min_duration_off=0.5,
     )
+
+    print("config", config)
+
     if not config.validate():
         raise RuntimeError(
             "Please check your config and make sure all required files exist"
         )
 
-    print(config)
     return sherpa_onnx.OfflineSpeakerDiarization(config)