Struggling with binary image classification (when tested with unseen data and training dat, its always inaccurate)

Hi guys, i am building a deep learning binary classification model for my project and was fine till the end when i implemented argmax for my prediction part in which i kept getting 0 which is no brain tumor, 1=presence of brain tumor.)

I have attached my loss and accuracy graphs above, and also my code for the last part which i have been struggling for the past few days.

If anyone can help me, it would be greatly appreciated.

binary brain building classification classification model dat data deep learning deeplearning image part prediction project training