How To Make A Chatbot In Python Python Chatterbot Tutorial

In this section, you will create a script that accepts a city name from the user, queries the OpenWeather API for the current weather in that city, and displays the response. SpaCy’s language models are pre-trained NLP models that you can use to process statements to extract meaning. You’ll be working with the English language model, so you’ll download that.

The demand for this technology surpasses the available intellectual supply. It is a simple chatbot example to give you a general idea of making a chatbot with Python. With further training, this chatbot can achieve better conversational skills and output more relevant answers.

How to Create a Chatbot with Python

After the get_weather() function in your file, create a chatbot() function representing the chatbot that will accept a user’s statement and return a response. This tutorial assumes you are already familiar with Python—if you would like to improve your knowledge of Python, check out our How To Code in Python 3 series. This tutorial does not require foreknowledge of natural language processing. The last process of building a chatbot in Python involves training it further. A rule-based chatbot is one that relies on a set of rules or a decision tree to determine how to respond to a user’s input.

For this, you could compare the user’s statement with more than one option and find which has the highest semantic similarity. Next you’ll be introducing the spaCy similarity() method to your chatbot() function. The similarity() method computes the semantic similarity of two statements as a value between 0 and 1, where means a greater similarity. You need to specify a minimum value that the similarity must have in order to be confident the user wants to check the weather.

Steps to create a chatbot using Python

After all of the functions that we have added to our chatbot, it can now use speech recognition techniques to respond to speech cues and reply with predetermined responses. However, our chatbot is still not very intelligent in terms of responding to anything that is not predetermined or preset. The first step in building a chatbot is to define the problem statement. In this tutorial, we’ll be building a simple chatbot that can answer basic questions about a topic.

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