nikhilkumarsingh

import os, sys
from flask import Flask, request
from pymessenger import Bot

app = Flask(__name__)

PAGE_ACCESS_TOKEN = "XXXXXXXXXXXXXXXXXXXXXXXXXXXX"

bot = Bot(PAGE_ACCESS_TOKEN)

nikhilkumarsingh

from wit import Wit 

access_token = "server_access_token_here"
client = Wit(access_token = access_token)

message_text = "i live in Australia"

resp = client.message(message_text)
print(resp)

nikhilkumarsingh

import requests


API_ENDPOINT = "https://translate.google.com/translate_tts"

headers = {'User-Agent': "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:53.0) Gecko/20100101 Firefox/53.0"}

text = "good morning"

params = {

nikhilkumarsingh

from tqdm import tqdm
import requests

chunk_size = 1024

url = "http://www.nervenet.org/pdf/python3handson.pdf"

r = requests.get(url, stream = True)

total_size = int(r.headers['content-length'])

nikhilkumarsingh

import requests

API_ENDPOINT = "https://www.wikidata.org/w/api.php"

query = "covfefe"

params = {
    'action': 'wbsearchentities',
    'format': 'json',
    'language': 'en',

nikhilkumarsingh

import requests
from bs4 import BeautifulSoup

url = "http://www.hindustantimes.com/rss/topnews/rssfeed.xml"

resp = requests.get(url)

soup = BeautifulSoup(resp.content, features="xml")

items = soup.findAll('item')

nikhilkumarsingh

import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt

# loading data
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

# number of features
num_features = 784

nikhilkumarsingh

nikhilkumarsingh

from os import path
import numpy as np
from PIL import Image
import wikipedia
from wordcloud import WordCloud, STOPWORDS

# get path to script's directory
currdir = path.dirname(__file__)

def get_wiki(query):

nikhilkumarsingh

import requests
import cv2
import numpy as np


url = "http://192.168.43.1:8080/shot.jpg"

while True:

	img_resp = requests.get(url)