fix accuracy

app/main.py

@@ -140,8 +140,8 @@ async def get_answer(item: Item, token: str = Depends(verify_token)):
         raise HTTPException(status_code=500, detail=str(e))
 
 # mlp
-mlp_model = joblib.load('app/mlp_model.pkl')
-mlp_pca = joblib.load('app/pca.pkl')
+mlp_model = joblib.load('app/mlp_model2.pkl')
+mlp_pca = joblib.load('app/pca2.pkl')
 mlp_scaler = joblib.load('app/scaler.pkl')
 mlp_label_encoder = joblib.load('app/label_encoder.pkl')
 
@@ -267,13 +267,17 @@ async def handle_audio(file: UploadFile = File(...)):
         features = mlp_scaler.transform(features)
         features = mlp_pca.transform(features)
 
-        # Dummy example to proceed with an inference
+        # proceed with an inference
         results = mlp_model.predict(features)
 
-        # Clean up (optional, especially if dealing with large files or sensitive data)
+        # Decode the predictions using the label encoder
+        decoded_predictions = mlp_label_encoder.inverse_transform(results)
+
+        # Clean up the temporary file
         os.remove(temp_filename)
 
-        return {"message": "File processed successfully", "prediction": results.tolist()}
+        # Return a successful response with decoded predictions
+        return {"message": "File processed successfully", "prediction": decoded_predictions.tolist()}
     except Exception as e:
         # Handle possible exceptions
         raise HTTPException(status_code=500, detail=str(e))