Enhance Real-Time RO System Optimizer -- 2

I have a python code that can predict the Salt passage and pressure drop of the membrane RO system by using model GRNN the input are "pressure feed, flow feed, recovery, TDS feed, membrane operating time, timing intervel between cleaning CIP, temperature" and the model learn and predict salt passage and pressure drop, also i added the optimization function which it calculate the minimum cost totale = cost of energy consumption + cost of cleaning + cost of and by using GA model it can varies the values of "flow feed, pressure feed, recovery and drop pressure by the GRNN prediction " the chosing of the less cost with optimale salt passage and pressure drop u can give the optimale settings parameters "feed flow, recovery, pressure feed" but i want to develop this programme, i need to make the calculation of optimal parameters happening in real time by importing data each determine periode of time from teams email that will containe the update of excel fiche, also i want to represent the results in graphiques by streamlit which i want to represent the real data with the predict data in graphics with the errors fonction like RE and RMSE , and another graphics which represent the optimized factors with the real factors variation