#libraries
from newspaper import Article
import random
import string
import nltk
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.metrics.pairwise import cosine_similarity
import numpy as np
import warnings
warnings.filterwarnings(‘ignore’)

#download punk package
nltk.download(‘punkt’, quiet=True

#get the artcile
article = Article(‘https://www.mayoclinic.org/diseases-conditions/chronic-kidney-disease/symptoms-causes/syc-20354521’)
article.download()
article.parse()
article.nlp()
corpus = article.text

#print article
print(corpus)

#Tokenization
text = corpus
sentence_list = nltk.sent_tokenize(text) # A list of sentence
#Print the list
print(sentence_list)

# A function to return a random greeting response to a users greeting
def greeting_response(text):
text = text.lower()

#Bots greeting response
bot_greetings = [‘howdy’, ‘hi’, ‘hey’, ‘hello’, ‘hola’]
#Users greeting
user_greetings = [‘hi’, ‘hey’, ‘hello’, ‘hola’, ‘greetings’, ‘wassup’]

for word in text.split():
if word in user_greetings:
return random.choice(bot_greetings)

def index_sort(list_var):
length = len(list_var)
list_index = list(range(0,length))

x = list_var
for i in range(length):
for j in range(length):
if x[list_index[i]] > x[list_index[j]]:
#swap
temp = list_index[i]
list_index[i] = list_index[j]
list_index[j] = temp

return list_inde:x

#Create the bots response
def bot_response(user_input):
user_input = user_input.lower()
sentence_list.append(user_input)
bot_response = ”
cm = CountVectorizer().fit_transform(sentence_list)
similarity_scores = cosine_similarity(cm[-1],cm)
similarity_scores_list = similarity_scores.flatten()
index = index_sort(similarity_scores_list)
index = index[1:]
response_flag = 0

j = 0
for i in range(len(index)):
if similarity_scores_list[index[i]] > 0.0:
bot_response = bot_response+’ ‘+sentence_list[index[i]]
response_flag = 1
j = j+1
if j > 2:
break

if response_flag == 0:
bot_response = bot_response+’ ‘+”I apologize, I don’t understand.”

sentence_list.remove(user_input)

return bot_response

#Start the chat
print(‘Doc Bot: I am Doctor Bot or Doc Bot for short. I will answer your queries about Chronic Kidney Disease. If you want exit, type bye.’)

exit_list = [‘exit’, ‘see you later’, ‘bye’, ‘quit’, ‘break’]

while(True):
user_input = input()
if user_input.lower() in exit_list:
print(‘Doc Bot: Chat with you later !’)
break
else:
if greeting_response(user_input) != None:
print(‘Doc Bot: ‘+greeting_response(user_input))
else:
print(‘Doc Bot: ‘+bot_response(user_input))