Update utils.py

utils.py

@@ -76,8 +76,14 @@ def encode_and_predict(model_path, data, one_hot_scaler, minmax_scaler_inputs, m
     else:
         return model.predict(data)
 
-def predict(model_path, data, explainer=None):
+def predict(model_path, data, explainer=None, df_train=None):
     model = tf.keras.models.load_model(model_path)
+
+    if df_train is not None:
+        
+        explainer = shap.KernelExplainer(model.predict, df_train[:10])
+        return model.predict(data), data.columns, explainer.shap_values(data[-10:])
+
     if explainer:
         return model.predict(data), data.columns, explainer.shap_values(data[-10:])
     else: