Chatbot in python github

Chatbot using python github

# Checkout the github repository below, on how to build a chatbot with python, 
# it is well documented and opensource, so you can contribute.

                                     ||
'''                                  \/
/------------------------------------------------------------------------------\                           
|  https://github.com/parulnith/Building-a-Simple-Chatbot-in-Python-using-NLTK |
\------------------------------------------------------------------------------/
'''

# Here's some extracted code:

# -------------------------------------------------------------------------------------------------------------------------

#Meet Robo: your friend

#import necessary libraries
import io
import random
import string # to process standard python strings
import warnings
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
import warnings
warnings.filterwarnings('ignore')

import nltk
from nltk.stem import WordNetLemmatizer
nltk.download('popular', quiet=True) # for downloading packages

# uncomment the following only the first time
#nltk.download('punkt') # first-time use only
#nltk.download('wordnet') # first-time use only


#Reading in the corpus
with open('chatbot.txt','r', encoding='utf8', errors ='ignore') as fin:
    raw = fin.read().lower()

#TOkenisation
sent_tokens = nltk.sent_tokenize(raw)# converts to list of sentences 
word_tokens = nltk.word_tokenize(raw)# converts to list of words

# Preprocessing
lemmer = WordNetLemmatizer()
def LemTokens(tokens):
    return [lemmer.lemmatize(token) for token in tokens]
remove_punct_dict = dict((ord(punct), None) for punct in string.punctuation)
def LemNormalize(text):
    return LemTokens(nltk.word_tokenize(text.lower().translate(remove_punct_dict)))


# Keyword Matching
GREETING_INPUTS = ("hello", "hi", "greetings", "sup", "what's up","hey",)
GREETING_RESPONSES = ["hi", "hey", "*nods*", "hi there", "hello", "I am glad! You are talking to me"]

def greeting(sentence):
    """If user's input is a greeting, return a greeting response"""
    for word in sentence.split():
        if word.lower() in GREETING_INPUTS:
            return random.choice(GREETING_RESPONSES)


# Generating response
def response(user_response):
    robo_response=''
    sent_tokens.append(user_response)
    TfidfVec = TfidfVectorizer(tokenizer=LemNormalize, stop_words='english')
    tfidf = TfidfVec.fit_transform(sent_tokens)
    vals = cosine_similarity(tfidf[-1], tfidf)
    idx=vals.argsort()[0][-2]
    flat = vals.flatten()
    flat.sort()
    req_tfidf = flat[-2]
    if(req_tfidf==0):
        robo_response=robo_response+"I am sorry! I don't understand you"
        return robo_response
    else:
        robo_response = robo_response+sent_tokens[idx]
        return robo_response


flag=True
print("ROBO: My name is Robo. I will answer your queries about Chatbots. If you want to exit, type Bye!")
while(flag==True):
    user_response = input()
    user_response=user_response.lower()
    if(user_response!='bye'):
        if(user_response=='thanks' or user_response=='thank you' ):
            flag=False
            print("ROBO: You are welcome..")
        else:
            if(greeting(user_response)!=None):
                print("ROBO: "+greeting(user_response))
            else:
                print("ROBO: ",end="")
                print(response(user_response))
                sent_tokens.remove(user_response)
    else:
        flag=False
        print("ROBO: Bye! take care..")

Source: github.com

Similar codes

23 votes157 views4 answers
Flatten a list of list python
Python
1 vote190 views1 answer
Tkinter boilerplate
Python
75 votes169 views2 answers
Open and write in a file in python
Python
0 vote161 views1 answer
Tkinter responsive gui
Python
1 vote310 views3 answers
Convert c++ code to python online
Python
11 votes199 views2 answers
How to add static files in django
Python Django
20 votes166 views4 answers
How to make computer go in sleep mode using pythn
Python
1 vote188 views1 answer
Django models.py convert DateTimeField to DateField
Python
0 vote185 views1 answer
Student notebook (finish), INB (finish), Food and Fitness log (log necessary), debate speech (finish)
Python
0 vote135 views1 answer
Postgres select if data exists
Python