random forest

app/main.py

@@ -182,10 +182,10 @@ async def get_answer(item: Item, token: str = Depends(verify_token)):
         raise HTTPException(status_code=500, detail=str(e))
 
 # naive bayes
-model = joblib.load('app/1713636876.7965496_trained_model.joblib')
+model = joblib.load('app/1713659256.1146934_trained_model.joblib')
 pca = joblib.load('app/pca.pkl')
-scaler = joblib.load('app/1713647369.8499982_scaler.joblib')
-label_encoder = joblib.load('app/1713647371.7307763_label_encoder.joblib')
+scaler = joblib.load('app/1713659334.3576736_scaler.joblib')
+label_encoder = joblib.load('app/1713659338.5451338_label_encoder.joblib')
 
 def preprocess_audio(audio_data, rate):
     audio_data = nr.reduce_noise(y=audio_data, sr=rate)