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You will learn common phrases to deal with traveling in the city. Select any word/phrase to see the corresponding translation. Some of these are not gramatically correct. Thats not the goal. The goal is to introduce some sommon words and phrases. Not a lot of gamification or anything like duolingo. Just words and phrases. Repeat as you need. If you want to relearn, just delete local storage and try again. Model for writing: Each step should teach one concept. Like "come here". Or "I will be late" etc. Each step is separated by "---"

x-tts is a web component which will playback what is provide. Takes an attribute of the language. It will emit event tts_done when someone clicks on it.

	import com.google.api.client.auth.oauth2.Credential;
	import com.google.api.client.auth.oauth2.TokenResponse;
	import com.google.api.client.googleapis.auth.oauth2.GoogleAuthorizationCodeFlow;
	import com.google.api.client.googleapis.auth.oauth2.GoogleAuthorizationCodeRequestUrl;
	import com.google.api.client.googleapis.auth.oauth2.GoogleCredential;
	import com.google.api.client.googleapis.auth.oauth2.GoogleTokenResponse;
	import com.google.api.client.http.GenericUrl;
	import com.google.api.client.http.HttpRequest;
	import com.google.api.client.http.HttpRequestFactory;
	import com.google.api.client.http.HttpTransport;

	#!/bin/sh
	#
	# Add a Google Analytics tag to static website files
	# @see http://adambuchanan.me/post/26345221717/updating-google-analytics-code-on-many-static-pages
	# Tested on MacOS 10.8.X
	#
	# Usage:
	# Set the GA parameters below
	# Execute the script from the top-level of the static site
	#

	import sys
	import cv2
	import argparse

	def detectObjects(image):
	"""Converts an image to grayscale and returns the locations of any faces found"""
	grayscale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
	cascade = cv2.CascadeClassifier(
	'haarcascade_frontalface_alt2.xml')

	#!/usr/bin/python
	# face_replace.py
	# Usage: python face_replace.py <image_file> [face index]

	import sys
	import cv2

	def detectObjects(image):
	"""Converts an image to grayscale and returns the locations of any faces found"""
	grayscale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

	<?php
	session_start();
	require_once('response.php');
	$kk = new Response();
	if (isset($_REQUEST['event']) && ($_REQUEST['event'] == 'NewCall')){
	/New Call Request /
	$kk->addPlayText("please enter or say ten digits mobile number to which amount is to be transffered. after the beep",'2','best');
	$kk->addRecognize('indybol','digits_hi',5,15,'en',10);
	$_SESSION['block'] = 'menu1_output';
	}

	/**
	* @OnlyCurrentDoc Limits the script to only accessing the current presentation.
	*/

	/**
	* Create a open translate menu item.
	* @param {Event} event The open event.
	*/
	function onOpen(event) {
	SlidesApp.getUi().createAddonMenu()

	import requests
	import json
	from bs4 import BeautifulSoup

	def extract_text_from_url(url):
	try:
	# Send a GET request to the URL
	response = requests.get(url)
	response.raise_for_status() # Raise an exception for bad status codes


	We are at the community center. At the center, we can help. We can donate clothes. We can give food. We can help clean up. We can meet new friends. We are happy helping at the center.


	We are at a family reunion. At the reunion, we can meet relatives. We can eat together. We can share stories. We can play games. We can take pictures. We are happy with our family.


	We are at a charity event. At the event, we can raise money. We can sell crafts. We can bake cookies. We can sing songs. We can help others. We are happy at the charity event.

	SECTION \|




	2022-23
	=e
	~~,
	epee nie SS
	. a