dzakyputra

# Portfolio preprocessing

values = []

# Iterate the dataframe
for index, row in portfolio.iterrows():
    
    # Set the default value
    new_value = [0,0,0,0]
    

dzakyputra

from matplotlib.colors import ListedColormap
from tqdm import tqdm

import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
import pandasql as pdsql
import seaborn as sns
import pandas as pd
import numpy as np
import math

dzakyputra

from telegram.ext import Updater, CommandHandler
import pandas as pd
import logging


# Set the logging function to print the error message whenever it happens
logging.basicConfig(level=logging.DEBUG, format='%(levelname)s - %(message)s')
logger = logging.getLogger()
logger.setLevel(logging.ERROR)

dzakyputra

def main():
  
  # Initiate the bot and add command handler  
  updater = Updater('YOUR_BOT_TOKEN', use_context=True)
  updater.dispatcher.add_handler(CommandHandler('word', send_word))
  
  # Run the bot
  updater.start_polling()
  updater.idle()

dzakyputra

def send_word(update, context):
  
  # Read the dataset and pick a random word
  dictionary = pd.read_csv('dictionary.csv')
  word = dictionary['word'].sample(1).values[0]
  
  # Get the user chat_id for sending back the message
  chat_id = update.message.chat_id
  
  # Send the word and the audio

dzakyputra

from google.cloud import texttospeech
from bs4 import BeautifulSoup

import pandas as pd
import requests
import re


def get_hangeul():

dzakyputra

def create_audio(text, language='ko-KR'):

  # Instantiates a client
  client = texttospeech.TextToSpeechClient()

  # Set the text input to be synthesized
  synthesis_input = texttospeech.types.SynthesisInput(text=text)

  # Build the voice request, select the language code ("en-US") and the ssml
  # voice gender ("neutral")

dzakyputra

def get_hangeul():
  
  # Scrape the website and get list of titles
  url = 'https://www.bbc.com/korean/popular/read'
  page = requests.get(url)
  soup = BeautifulSoup(page.content, 'html.parser')
  titles = soup.findAll('span', 
                       {'class': 'most-popular-list-item__headline'})
  
  # Iterate through titles -> remove punctuation -> append to the list

dzakyputra

from google.cloud import texttospeech
from bs4 import BeautifulSoup

import pandas as pd
import requests
import re

dzakyputra

import os
import io
import sys
import subprocess
import tesserocr

from pyspark.sql import SparkSession

# Initiate spark session
spark = SparkSession.builder \