Tensorboard.dev , Implement threading & kill prompt this to make it usable & awesome

Great initiative with Tensorboard.dev

Here are two crucial features that I believe drastically would increase user experience and over usage of the service.
Due to my miserable & dirty python coding ill leave the implementation to the pros, happy to assist.

1. Utilize threading to run the function as a daemon

Use threading, Run daemon in the background on an interval that looks for new data, and ship it to the remote.
I did some tests myself running the following code and it did work well, some tweaks and it should fulfill the purpose

Suggested param

• Run in daemon mode
• Interval to check for new data

import threading
import time
import ftplib

class ThreadingExample(object):
    """ 
    Threading example class
    The run() method will be started and it will run in the background
    until the application exits.
    """

    def __init__(self, interval=5):
        """ Constructor
        :type interval: int
        :param interval: Check interval, in seconds
        """
        self.interval = interval

        thread = threading.Thread(target=self.run, args=())
        thread.daemon = True  # Daemonize thread
        thread.start()  # Start the execution

    def run(self):
        """ Method that runs forever """
        while True:
            # Do something
            print('Multithreading deamon running ..')
            session = ftplib.FTP(
                'ftp.dlptest.com', 'dlpuser@dlptest.com', 'eUj8GeW55SvYaswqUyDSm5v6N')       
            file = open('/') # file to send
            session.storbinary('STOR best_model.zip', file) # send the file
            file.close() # close file and FTP
            session.quit()
            print('file uploaded')
            time.sleep(self.interval)

            # Code for running
            example = ThreadingExample()
            time.sleep(3)
            print('Checkpoint')
            time.sleep(2)
            print('Bye')

2. Get around the (Yes/No) prompt in Jupyter

Currently, when running the package it will prompt for yes/no.
While this is easy to get around in Colab or Jupyter lab with access to the terminal it does get quite tricky when running a notebook on Jupyter etc. Maybe there is a way around it, I did not find any easy solution. If there is, include it in documentation.

The end

Hope it makes sense, to improve the user experience in the ML/AI field is crucial to driving adaptation short term & innovation longterm. Tensorboard.dev is a great initiative and it should not fall short of its finish line.

The issue names no repository files or tests; start by locating the TensorBoard.dev upload command and the yes/no prompt path used from Jupyter. Clarify whether daemon uploads with an interval and noninteractive prompt handling are both in scope, then define tests for background operation, interval handling, and prompt-free use.