Update main.py

main.py

@@ -11,12 +11,17 @@ from sklearn.preprocessing import StandardScaler
 import json
 import pickle
 from sklearn.pipeline import Pipeline
+from keras.optimizers import Adam
 
 # instantiate flask 
 app = flask.Flask(__name__)
 
-# load the model
-model = load_model('final_model.h5')
+# Load the model without compilation
+model = load_model('final_model.h5', compile=False)
+
+# Recompile the model with the appropriate optimizer
+optimizer = Adam(learning_rate=0.001)  # Adjust learning_rate as needed
+model.compile(optimizer=optimizer, loss='mean_squared_error')  # Adjust the loss function as needed
 
 holidays_tt = ["2020-01-01",
                "2020-01-15",