How to Build a Simple, Cross-Platform Chatbot is the story of the first successful cross-Platform chatbot built on Python and Django.
It is a simple tool which provides the user with a single, unified chat interface.
It works by making the user a member of a small group of people who can then connect via the chat API.
The result is that it is extremely easy to build chatbots that you can use for your own projects.
For this tutorial we will be using the free Chatbot Framework from FourFourSecond.
This framework provides a flexible set of tools for building a cross-functional chatbot.
It includes the following tools:There are a few different ways to build an easy-to-use chatbot on Python.
Here we will focus on a way to make the user join a small number of people by building a simple chatbot that only responds to commands and commands with a chat token.
Step 1: Create a chat accountStep 2: Add a new chat tokenStep 3: Add an API endpoint for your chat botStep 4: Add the code for the chat botTo get started, create a new Python project and add the following lines to the top of it:The following code snippet will generate a login page and then a chat bot:Now, add the code to your existing Python project.
Create a new directory in your project called “Chatbot” and make sure that the folder contains two files:Chatbot.py and Chatbot_api.py:Open the Chatbot.__init__.py file, and add a new file called Chatbot in the bottom-left corner of the file:Then create a class called ChatBot.py in your app class.
The Chatbot class has two methods that are responsible for creating the chatbot and sending commands to the chat server:The ChatBot class provides a method for sending a command and returns the result:This method is called when the user joins the chat group and sends a command to the server.
To create a simple bot, we need to start by creating a user account.
We need to register the user to our group:Step 1.
Create a new userStep 2.
Add a userLogin pageStep 3.
Create an API callStep 4.
Create the ChatBot() methodThis method returns the user’s username and a chatbot token:Step 5.
Add the API endpointTo use this method, we simply have to send a POST request to the API:Step 6.
Add code to the Chat bot() methodWe will be creating a new bot using this method.
Open the Chat_api module.
Open the API.py module.
Add the code from step 1:This code will generate the API call:Step 7.
Create ChatBot_api_token() methodStep 8.
Add method for registering the userStep 9.
Create method for returning the resultStep 10.
Create code to send the POST requestStep 11.
Add API endpointFor each command, we will add a method that sends the command and the result.
The method returns a list of messages, in the order they were sent.
Here is an example of a command we would send to the bot:We can see in this code that the POST method sends the user the URL of the command:Step 12.
Create chatbot() methodHere is the code we want to send to our bot:Step 13.
Create API endpointAdd the following code to ChatBot().py:The code will create a single instance of the Chat Bot class.
The instance will be the one that sends commands to other users:Step 14.
Create class ChatBotStep 15.
Add new ChatBot to your app Step 16.
Add methods to your ChatBot method to send commands to your botStep 17.
Add Chatbot method to the front of your appStep 18.
Open API.api.go and add methods for registering users and sending the APIResponseMessage message to your APIResponse class:Now we have a chat-like chatbot, we can send commands from the API to our ChatBot:Step 19.
Add api.apiRequestMessage methodTo send a command, the user must be a member in the ChatGroup.
Add chatbot(params) method to your api.py method:This function takes a single parameter, a string of the name of the user who wants to join the group.
The parameter is passed along with the command.
For example, to send “chatbot join” to all users, we would use this code:Step 21.
Join methodNow, we should be able to send messages to our chat bot using a command.
We can do that using the API method that is in the api.
Open api.call() and add this method to our api.code:Now you should be sent a message like the following:Now that you have a simple cross-compatible chatbot running