Python Chatbot – Build Your Own Chatbot With Python

All of you will be familiar with chatbot. Today we will learn about how to design chatbots in python. Making chatbots are  very amazing.So welcome in  Python Chatbot  Tutorial. So let’s start without wasting time.

Now-a-days various companies,industries or individuals are using chatbots.Chatbots are very helpful tool for today’s business world.They are providing great business opportunities for small and large scale industries.It reduces the response time and increases the availability of services.So now the question is- what are chatbots,how they work and why we use them?

What Are Chatbots

• A chatbot is a service,powered by rules and sometimes artificial intelligence,that you interact with via a chat interface.
• Chatbots are softwares agents that converse trough a chat interface,that means the softwares programs that are able to have a conversation which provides some kinds of value to the end users.
• The user can interact with the chatbot by typing in their end of the conversation or simply by voice depending upon the type of chatbot is provided.
• Chatbots are revolutionizing the way businesses interact with their clients. Using AI and sophisticated natural language processing, modern chatbots offer a deeper level of interaction than ever before.

  

Some examples of chatbots

• Liveperson
• LiveChat
• Amazon Lex
• Dialogflow
• IBM Watson
• bold360

What can chatbots do

• Deliver personalized content experiences.
• Answer common customer service questions.
• Streamline product purchases.
• Cultivate connection  via entertainments.
• Offer specialized services.

How can chatbots improve business

Chatbots can help the business in many ways ,like –

• Drive sales
• Immediate customer services
• Lower Acquisition costs
• Automation+Efficient
• Better Interaction with consumers
• Gather data faster

Some use cases of chatbots

• YouTube celebrity/Artists
• Restaurants/cafe
• Ecommerce
• Newsletter
• Business card
• Customer service
• Quiz
• Campaign etc.

Read Also-Python Rest API Example using Bottle Framework

Python Chatbot Tutorial – Getting Started

Building chatbots in python is very easy and funny task.

7 steps to building a chatbot

1. Decides on an application area
2. Design conversations
3. List intents, entities , actions, responses, contexts
4. Train AI engines
5. Write code for actions
6. Create and update knowledge base
7. Test scenarios and incrementally improve

Creating a project

First of all, create a new project , named it as ChatterBot or as you like. I am using PyCharm IDE , you can use anything.

Now, create a new python file by following the path – ChatterBot->Right click->New->Python File  and named it as you wish.

Creating chatbot text file

Now create a text file by following the path – ChatterBot->Right click->New->File     

This file contains a list of conversations but the way this file need to be created or organized by saying simple row that is each conversation must be relied on the last conversation.

Imagine a person communicate with another person like this way-

chats.txt

Installing ChatterBot package

Furthermore , in your project go to File->Setting->Python Interpreter.

Search ChatterBot package and click on Install Package button.Now the package is successfully installed.

Also Read : Python Simple HTTP Server : A Simple HTTP Web Server With Python

Importing ChatterBot modules

ChatterBot is a Python library that makes it easy to generate automated responses to a user’s input.As a result, ChatterBot uses a selection of machine learning algorithms to produce different types of responses.

ChatBot

ListTrainer

Creating Chatbot

Now, create the chatbot.Here i have given the name of chatbot as MyChatBot.

• ChatBot() method is used to create the chatbot.
• the chatbot is store in the variable bot.

Setting Trainer to train bot

So,now we  have to set the trainer to train the bot.

• set_trainer() method is used to set trainer to the bot.

Opening the Conversation file

Now, we have to open the file where the conversations are stored.For this we write the following code.

• open() method open the conversation file.It takes two arguments file name and file mode.
• Here we are using reading mode that is ‘r’. It opens the file in read mode.
• readlines() reads until EOF using readline() and returns a list containing the lines.

Train the bot

And now we need to train the bot with the data i have loaded into this script.

• train() method is used to train the bot along with loaded data.
• Here we need to pass the conversation as an argument.

Taking input from the user and replying by the bot

Now we have to code for taking input from user and the reply by the bot.For this we write the following code.

Now we understand the code line-by-line

• while True: means the training of the bot have been completed.
• message = input(‘You:’)  statement is used to take input from the user.input() function takes input from the user and store it in message variable.
• Now we have to include a condition that is if message.strip()!= ‘Bye’: . It means if user don’t enter Bye message till then bot will reply the user messages.
• The reply will be generated by the bot using reply =bot.get_response(message) statement.get_response() is used to reply to the user.This method takes an argument message which is entered by the user.
• print(‘ChatBot:’,reply) statement print the reply of the chatbot.
• Now, if the user enters Bye message then chatbot also reply Bye message and the process will end.

Let’s get the Code together

Hence,the final code for building chatbot in python will be as follows-

Finally, now run the code and start conversation with chatbot. As a result we see the output like this-

Finally, Chatbot is working well. Creating chatbots is amazing and lots of fun.

Also Read – Speech Recognition Python – Converting Speech to Text

 

So, friends it was all about Python Chatbot Tutorial.I hope it will help you very much. And please comment me-have you enjoyed creating this chatbot or not.And if you are getting any difficulties then leave your comment. If you have benefited from it then must shares with your fellows.Thanks