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import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html

from pandas_datareader import data as web
from datetime import datetime as dt

app = dash.Dash('Hello World')

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import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
import pandas as pd

app = dash.Dash()

df = pd.read_csv(
    'https://gist.githubusercontent.com/chriddyp/'

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import sys
import random
import time
from threading import *

class Producer(Thread):
	def __init__(self, items, can_produce, can_consume):
		Thread.__init__(self)
		self.items = items
		self.can_produce = can_produce

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/****************************************
 * Include Libraries
 ****************************************/
 
#include <PubSubClient.h>
#include <ESP8266WiFi.h>
#include <ESP8266WiFiMulti.h>
#include <stdio.h>  

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from gensim.models import Word2Vec

# Load pretrained model (since intermediate data is not included, the model cannot be refined with additional data)
model = Word2Vec.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary=True, norm_only=True)

dog = model['dog']
print(dog.shape)
print(dog[:10])

# Deal with an out of dictionary word: Михаил (Michail)

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# -*- coding: utf-8 -*-
import json
import re
import os
import nltk

input_file = open('<JSON FILE To INPUT>','r').readlines()
for line in input_file:   
    try:
        tweet = json.loads(line)