Does st_aggrid cause memory leaks?

[WMKTT1]

Here is my code:
I am using the latest version of st and st_aggrid, and all libs i used are updated.

from memory_profiler import profile
import pandas as pd
import streamlit as st
from st_aggrid import GridOptionsBuilder, AgGrid, GridUpdateMode, DataReturnMode
def interactive_datatable1(df):
    return_mode_value = DataReturnMode.__members__["AS_INPUT"]
    update_mode_value = GridUpdateMode.__members__['SELECTION_CHANGED']
    gb = GridOptionsBuilder.from_dataframe(df)
    gb.configure_default_column(groupable=True,headerCheckboxSelection=True,value=True, 
    enableRowGroup=True, aggFunc='sum', editable=True)
    gb.configure_selection('multiple',
                           use_checkbox=True, groupSelectsChildren=True,
                           groupSelectsFiltered=True)
    gb.configure_grid_options(domLayout='normal')
    gridOptions = gb.build()
    grid_response = AgGrid(
        df,
        gridOptions=gridOptions,
        data_return_mode=return_mode_value,
        update_mode=update_mode_value,
        fit_columns_on_grid_load=False,
        theme='material'
    )
    return grid_response

@profile
def main():
    df=pd.read_pickle('df.pkl')
    a=interactive_datatable1(df)

main()

Here the size of df.pkl is about 3.2 MB.
Next is the memory profile:

Line #    Mem usage    Increment  Occurrences   Line Contents
=============================================================
    26    375.5 MiB    375.5 MiB           1   @profile
    27                                         def main():
    28    376.2 MiB      0.8 MiB           1       df=pd.read_pickle('df.pkl')
    29    379.2 MiB      3.0 MiB           1       a=interactive_datatable1(df)

As you can see, every time the code runs, the memory usage increases. This is because the table created by st_aggrid is not destroyed. If I remove st_aggrid, the memory usage does not increase, and the df.pkl file can be released. Now, I want to know how to solve this memory leak issue. I tried adding a key to each specific content dataframe and using the hash value as the key. This reduces the memory usage of st_aggrid, but it does not solve the problem. I also want to know if it is possible to directly access the widget objects created by st and delete the unused ones?