Build a simple chatbot app in Python
In this tutorial, you will learn how to build your own chatbot in python, which is able to answer you most of the general question you can ask.
what is a chatbot?
A chatbot is artificial intelligence (AI) software that can simulate a conversation (or a chat) with a user in natural language, In this tutorial, you’re going to learn how to build your own simple chatbot using Python.
Requirements
If you’re in window you don’t need to install anything because every module we are going to use comes automatically with Python Standard Library
However, if you’re a Linux user you might need to Install Tkinter Libary on your own
Installation
$ pip install python-tk
Also, you need to have Dictionary json on your local folder which will act as our Knowledgebase for our chatbot.
Download the Below Json Dictionary and put it on your project Directory
Project Directory
Your project directory should look as shown below
.
├── app.py
└── knowledge.json
0 directories, 2 files
Building Our Chatbot
Now after you have set everything clear let’s start building our application, throughout the project we are going to use the following Python modules
importing Modules
Now import all necessary modules ready to start crafting our chatbot
import json
from difflib import get_close_matches
from tkinter import Tk, Label, Entry, Button, Text, Scrollbar,Frame
giving our chatbot app exoskeleton
We now required to create the exoskeleton of our application by designing our user Interface for our chatbot using Tkinter Library.
Our chatbot UI will need to have the following features
- Entry box to allow as to type a message
- A button to submit the message
- Message part for showing the conversation with a chatbot
- Scroll bar to help us scroll throughout the conversation
Using knowledge of Tkinter I have crafted the above features into Python code shown below.
app.py
import json
from difflib import get_close_matches
from tkinter import Tk, Label, Entry, Button, Text, Scrollbar,Frame
class Chatbot:
def __init__(self, window):
window.title('Iris bot')
window.geometry('400x400')
window.resizable(0,0)
self.message_session = Text(window, bd=3, relief="flat", font=("Times", 10), undo=True, wrap="word")
self.message_session.config(width=45, height=15,bg="#596", fg="white", state='disabled')
self.overscroll = Scrollbar(window, command=self.message_session.yview)
self.overscroll.config(width=20)
self.message_session["yscrollcommand"] = self.overscroll.set
self.message_position = 1.5
self.send_button = Button(window, text='send', fg='white', bg='blue',width=9,font=('Times', 12), relief ='flat')
self.Message_Entry = Entry(window, width=40, font=('Times', 12))
self.message_session.place(x=20, y=20)
self.overscroll.place(x=370, y=50)
self.send_button.place(x=0, y=360)
self.Message_Entry.place(x=135, y=365)
self.Brain = json.load(open('knowledge.json'))
root = Tk()
Chatbot(root)
root.mainloop()
on the above code, I have also loaded by knowledge base JSON into the application ready to be used in the conversations
Output :
When you run the above UI code it will produce the following output
building logic blocks for our chatbot
we will a function to get the message from the entry box and then searching for relevant keywords in the dictionary knowledge base If it finds any it will return to the user.
I have added two simple methods just to do that, together with linking the send button with the methods we just made.
Now Our Complete chatbot code should look as shown below.
import json
from difflib import get_close_matches
from tkinter import Tk, Label, Entry, Button, Text, Scrollbar,Frame
class Chatbot:
def __init__(self, window):
window.title('Iris Assitant')
window.geometry('400x400')
window.resizable(0,0)
self.message_session = Text(window, bd=3, relief="flat", font=("Times", 10), undo=True, wrap="word")
self.message_session.config(width=45, height=15,bg="#596", fg="white", state='disabled')
self.overscroll = Scrollbar(window, command=self.message_session.yview)
self.overscroll.config(width=20)
self.message_session["yscrollcommand"] = self.overscroll.set
self.message_position = 1.5
self.send_button = Button(window, text='send', fg='white', bg='blue',width=9,font=('Times', 12), relief ='flat', command = self.reply_to_you)
self.Message_Entry = Entry(window, width=40, font=('Times', 12))
self.Message_Entry.bind('<Return>', self.reply_to_you)
self.message_session.place(x=20, y=20)
self.overscroll.place(x=370, y=50)
self.send_button.place(x=0, y=360)
self.Message_Entry.place(x=135, y=365)
self.Brain = json.load(open('knowledge.json'))
def add_chat(self, message):
self.message_position+=1.5
print(self.message_position)
self.Message_Entry.delete(0, 'end')
self.message_session.config(state='normal')
self.message_session.insert(self.message_position, message)
self.message_session.see('end')
self.message_session.config(state='disabled')
def reply_to_you(self, event=None):
message = self.Message_Entry.get().lower()
message = 'you: '+ message+'\n'
close_match = get_close_matches(message, self.Brain.keys())
if close_match:
reply = 'Iris: '+ self.Brain[close_match[0]][0] + '\n'
else:
reply = 'Iris: ' + 'Cant it in my knowledge base\n'
self.add_chat(message)
self.add_chat(reply)
root = Tk()
Chatbot(root)
root.mainloop()
Output :
When you run the above code it will produce the following results
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The Original Article can be found on kalebujordan.dev
In case of any suggestion or comment, drop it on the comment box and I will reply to you immediately.
Kalebu
/
Desktop-chatbot-app
A python knowledge-based chatbot application built with Tkinter
This a cross-platform desktop app built with [tkinter] which simply acts like a dictionary chatbot, you can send it a message and it will return a response on what it thinks the message is by fetching it in a very large dictionary.
Getting started
To get started with this app, you might have to clone or download the repository first;
git clone https://github.com/Kalebu/Desktop-chatbot-app
cd Desktop-chatbot-app
Desktop-chatbot-app->
Dependencies
For Window user, there is no extra dependencies to be installed however for those in Linux or Mac sometimes Python does not come with Tkinter installed so you might have to install it manually;
sudo apt-get install python3-tk
launching
Now once installed launch it by running as you would run a normal python script and the gui for chatbot will pop up;
python app.py
launched interface
Your interface for the chatbot app will probably look like shown below;
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