Vyasdev Vyasdev217

## dictmongodb.js
const { MongoClient } = require('mongodb');

class DictMongoDB{
    constructor(connection_string, log=true){
        this.connection_string = connection_string;
        this.client = new MongoClient(connection_string);
        this.log = log
        if (this.client==undefined){ console.log("DictMongoDB>>> CONNECTION FAILED"); }
    }
    async initialize(db_name, collections=undefined, create_db_if_not_exists=true){

## docker_jupyter.sh
### An example to setup a docker container and jupyter server in a server and access from another host in LAN

## Pull docker image [Only first time]
sudo docker pull tensorflow/tensorflow:latest-gpu-jupyter


## Create and start docker container
sudo docker run --gpus all -it -p 192.168.x.x:8889:8888 -v /source/derectory/in/host:/dest/directory/in/container tensorflow/tensorflow:latest-gpu-jupyter bash

# Create and start docker container with current directory as source directory in host

## webhook.py
import tkinter
import requests #dependency
from tkinter import Scrollbar, Tk,ttk,StringVar

def webhook_send():
    global webhookurl
    global username
    global entry_content
    url =webhookurl.get()
    #for all params, see https://discordapp.com/developers/docs/resources/webhook#execute-webhook

## SimpleVideoPlayer.html
<!DOCTYPE html>
<html>
<head>
	<title>SIMPLE MEDIA PLAYER</title>

	<style type="text/css">

 /* The Modal (background) */
 .modal {
  display: none;
	const { MongoClient } = require('mongodb');

	class DictMongoDB{
	constructor(connection_string, log=true){
	this.connection_string = connection_string;
	this.client = new MongoClient(connection_string);
	this.log = log
	if (this.client==undefined){ console.log("DictMongoDB>>> CONNECTION FAILED"); }
	}
	async initialize(db_name, collections=undefined, create_db_if_not_exists=true){
	### An example to setup a docker container and jupyter server in a server and access from another host in LAN

	## Pull docker image [Only first time]
	sudo docker pull tensorflow/tensorflow:latest-gpu-jupyter


	## Create and start docker container
	sudo docker run --gpus all -it -p 192.168.x.x:8889:8888 -v /source/derectory/in/host:/dest/directory/in/container tensorflow/tensorflow:latest-gpu-jupyter bash

	# Create and start docker container with current directory as source directory in host
	import tkinter
	import requests #dependency
	from tkinter import Scrollbar, Tk,ttk,StringVar

	def webhook_send():
	global webhookurl
	global username
	global entry_content
	url =webhookurl.get()
	#for all params, see https://discordapp.com/developers/docs/resources/webhook#execute-webhook
	<!DOCTYPE html>
	<html>
	<head>
	<title>SIMPLE MEDIA PLAYER</title>

	<style type="text/css">

	/* The Modal (background) */
	.modal {
	display: none;