Sharing the value of a selected row in a table to another module

shiny
,
#1

I am building a python shiny app that will use a row value selected from one table in a given module to filter a second table that will be rendered in another module. Basically, the goal is to filter the second table based on the column value of a row selected in the first table. Here is the first file:

####  file1.py
from shiny import req, ui, module, render
import shiny.experimental as x
import pandas as pd 

df = pd.DataFrame({'num_legs': [2, 4, 8, 0],
                   'name': ['A', 'B', 'C', 'D'],
                   'num_specimen_seen': [10, 2, 1, 8]},
                  index=['falcon', 'dog', 'spider', 'fish'])


@module.ui
def table_view_ui(label: str = "Table"):
    
    return x.ui.card(
        {"style": "color:#000"},
        x.ui.card_header("This is " + label), 
        ui.output_data_frame("grided"),
         ui.output_text("select_row")
)

@module.server
def table_server(input, output, session):
    # Render Table
    @output
    @render.data_frame
    def grided():
        {"style": "color:#000"},
        width="100%"
        height="100%"
        
        return render.DataGrid(
            df.reset_index(),
            row_selection_mode="single", 
            width=width,
            filters=True,
            height=height)

    @output
    @render.text 
    def select_row():
       
       if (input.grided_selected_rows() is not None
            and len(input.grided_selected_rows()) > 0
        ):
            selected_idx = list(req(input.grided_selected_rows()))
            selected_row= df.iloc[selected_idx]

            value_selected = selected_row["name"].values[0]
            return value_selected

on another python file (file 2.py), the goal is to use extract the value selected above (value_selected) and filter a second table. In this case, I can click on the table and extract the name from the row selected by the user (e.g. B), and my goal is to use this name B and query another data-frame (e.g. df2 shown below) so that I can extract matching values for it.

Currently, I can render the table on file2.py but I've not been able to get the value returned.

#### file2.py 

from shiny import req, ui, module
import pandas as pd 
from .file1 import table_view_ui, table_server

df2 = pd.DataFrame({'num_wings': [2, 4, 8, 0],
                   'name': ['B', 'E', 'F', 'D'],
                   'num_specimen_seen': [4, 0, 2, 1]},
                  index=['cat', 'bird', 'beast', 'pet'])

@module.ui
def main_app_ui():
   
    return ui.tags.div(
    table_view_ui("table_viewer"),
     {"style": "color:#000"},
    ui.output_data_frame("grided"),
    )

@module.server
def main_server(input, output, session):
    table_server("table_viewer")

    @output
    @render.data_frame
    def grided():
        {"style": "color:#000"},
        width="100%"
        height="100%"
        
        return render.DataGrid(
            df2,
            width=width,
            height=height)

In short, how can I get the value selected from df in file1.py (e.g. B), to filter the selected df2 in file2.py?