save model and load model giving different model.predict results (keras)

My keras model achieved a test accuracy of 98%. I ran model.predict on the test data within the same script and got pretty much the same results. I then tried model.save() and tf.keras.models.load_model() within the same script that I trained in and got the same results with model.predict. But when I load the model in a different script, and then do model.predict on the test data, accuracy is 0%. I have tensorflow 2.7.0. Has this happened for anyone else?