Build Your First Python Chatbot In 5 Minutes - "Jarvis"

This article was originally published at http://codeperfectplus.herokuapp.com/build-your-first-python-chatbot-in-5-minutes

In the age of AI, chatbots are getting popular day by day. It's industrys newest tools designed to simplify the interaction between humans and computers. From E-commerce to Healthcare institutions, Everyone wants to use Chatbot for interaction with the user.

What is a Chatbot

A chatbot is a software application used to conduct an online chat conversation via text or text-to-speech, in lieu of providing direct contact with a live human agent. According to Wikipedia.

Types of Chatbot

Chatbots can be categorized into two types

• Rules-Based
• Self Learning

The Rules-Based:- Rules-based chatbots trains a chatbot to answer question-based on pre-trained rules. these type of chatbot are good for simple queries.

Self-learning chatbot:- Self-learning chatbots are based on machine learning algorithms and they are smarter than rules-based chatbots. They can learn on their own.

How Chatbot Works

AI-powered chatbots are intelligent and can also learn on their own. They use Natural language processing and machine learning algorithm to learn and feed on data.

E.g: Google Assistant, Alexa, Siri

Intelligent AI- chatbot feed on user data and learn and try to improve themselves. They analyze it with complex AI- Algorithms and output response as text or voice.
Since these bots can learn from behaviour and experiences, they can respond to a wide range of queries and commands.

Today, we will create python chatbot using ChatterBot library. Let's get started!

1. Create Virtual Environment

pipenv is a python library to create virtual environment easily.

pip install pipenvpipenv install

2. Install Libraries

We Will Use ChatterBot library to create Simple Python Chatbot. Install chatterbot and chatterbot_corpus with the help of pip command.

pipenv install chatterbotpipenv install chatterbot_corpus

3. Create and Train the Chatbot

from chatterbot import ChatBotfrom chatterbot.trainers import ChatterBotCorpusTrainerBOTNAME =  "Jarvis"  def  start():    bot =  ChatBot(BOTNAME,    logic_adapters=[    {        'import_path': 'chatterbot.logic.BestMatch',        'default_response': 'I am sorry, but I do not understand.',        'maximum_similarity_threshold': 0.90,           },],preprocessors = [       "chatterbot.preprocessors.clean_whitespace",],input_adaptor="chatterbot.input.TerminalAdaptor",output_adaptor="chatterbot.output.TerminalAdaptor",database_uri='sqlite:///database.sqlite3')trainer =  ChatterBotCorpusTrainer(bot)# Train based on the english corpustrainer.train("chatterbot.corpus.english","chatterbot.corpus.english.greetings","chatterbot.corpus.english.conversations",)print(f"Hello I am {BOTNAME}")while  True:    try:        bot_input =  input("You: ")        bot_respose = bot.get_response(bot_input)        print(f"{BOTNAME}: {bot_respose}")     except(KeyboardInterrupt, EOFError, SystemExit):        breakif __name__ ==  "__main__":    start()

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