Checklist

• I have searched the existing issues for similar issues.
• I added a very descriptive title to this issue.
• I have provided sufficient information below to help reproduce this issue.

Summary

When st.data_editor() is utilized on a page alongside with other widgets which are updated in the background, e.g. in a cyclical fashion (see example), editing of cell content is close to impossible:
While typing in new characters, the select all editing mode is entered automatically (all characters highlighted with light blue background) whenever another element on the page (residing in an st.empty() element) is updated.
Thus, upon input of the next character all prior input is overwritten.
This issue does not apply to e.g. st.number_input() but seems to be limited to st.data_editor().

Reproducible Code Example

import streamlit as st
import pandas as pd
import time

def main():
    text_container = st.empty()
    with text_container:
        st.write("Hello")

    st.data_editor(pd.DataFrame({"Key": ["My Property"], "Value": ["42.0"]}, dtype="string"),
                                column_config={"Key": st.column_config.TextColumn(), 
                                                "Value": st.column_config.TextColumn()},
                                num_rows="dynamic", hide_index=True, use_container_width=True)

    index = 1
    while(True):
        text_container.empty()
        with text_container:
            st.write(f"Hello {index}")
        index += 1
        time.sleep(1)

if __name__ == '__main__':
    main()

Steps To Reproduce

• run the example
• select a cell of the data-editor (e.g. the cell with number 42.0)
• start providing new input by typing in a new number (e.g. 3.141592653)
• character input will be highlighted (every second) and overwritten on next character input

Expected Behavior

Editing shall not be influenced by updating other widgets in background..

Current Behavior

No response

Is this a regression?

• Yes, this used to work in a previous version.

Debug info

• Streamlit version: 1.29
• Python version: 3.11.5
• Operating System: Mac OSX 13.5.1
• Browser: many

Additional Information

No response