added model class

model.py

@@ -0,0 +1,52 @@
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+from joblib import load
+from sklearn.preprocessing import MinMaxScaler
+from sklearn.ensemble import VotingClassifier
+from xgboost import XGBClassifier
+from sklearn.neighbors import KNeighborsClassifier
+from sklearn.svm import SVC
+
+class SmokerModel:
+    def __init__(self, model_path, scaler_path):
+        self.model = load(model_path)
+        self.scaler = load(scaler_path)
+        
+    def scale(self, X):
+        """
+        Apply the scaler used to train the model to the new data
+
+        INPUT
+        -----
+        X: the data to be scaled
+        
+        OUTPUT
+        ------
+        returns the scaled data
+        """
+
+        new_data_scaled = self.scaler.transform(X)
+
+        return new_data_scaled
+
+    def predict(self, X):
+        """
+        Make predictions using the loaded model.
+
+        INPUT
+        -----
+        X: the data to predict a label for
+
+        OUTPUT
+        ------
+        predicted label
+        """
+
+        # scale the data
+        X_scaled = self.scale(X)
+
+        # Now, use the scaled data to make predictions using the loaded model
+        predicted_label = self.model.predict(X_scaled)
+
+        return predicted_label