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Update smartbot.py
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smartbot.py

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# -*- coding: utf-8 -*-
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"""SmartBot.ipynb
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Automatically generated by Colaboratory.
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Original file is located at
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https://colab.research.google.com/drive/10Z5B-2_WyGZsZewgeLtVgKWVppTZAyAs
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"""
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# Description: This is a 'self learning' chatbot program
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"""
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In this video I will show you how to build your very own chat bot using the Python programming language and Machine Learning!
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I will show you how to build your very own chat bot using the Python programming language and Machine Learning!
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More specifically I want to create a "Doctor Chat Bot On Chronic Kidney Disease",
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meaning I can ask this chat bot about chronic kidney disease, and it can come up with a reasonable response.
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A chat bot is software that conducts conversations.
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There are broadly two variants of chat bots: Rule-Based and Self Learning.
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A Rule-Based chat bot is a bot that answers questions based on some rules that it is trained on,
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while a Self Learning chat bot is a chat bot that uses some Machine Learning based technique to chat. 
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We will use a little bit of both in this video.
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and
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We will use a little bit of both .
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Your kidneys filter wastes and excess fluids.
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Chronic kidney disease, also called chronic kidney failure, describes the gradual loss of kidney function.
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"""
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#Resources: https://github.com/randerson112358/Building-a-Simple-Chatbot-in-Python-using-NLTK
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#Resources:
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# (1) https://github.com/randerson112358/Building-a-Simple-Chatbot-in-Python-using-NLTK
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# (2) https://medium.com/datadriveninvestor/build-your-own-chat-bot-using-python-95fdaaed620f
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pip install nltk
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@@ -149,4 +141,4 @@ def response(user_response):
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sent_tokens.remove(user_response) #Remove the users response from the list
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else: #Else the users response was bye
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flag=False #Set the flag to false to end the conversation / while loop
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print("DOCBOT: Chat with you later !") #print Chat with you later ! to the screen
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print("DOCBOT: Chat with you later !") #print Chat with you later ! to the screen

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