This is an easy chatbot in Python utilizing the NLTK library.
See the below example Python code:
# Import needed libraries
from nltk.chat.util import Chat, reflections
# Specify your chatbot's reactions
reactions = {
" hey there": "Hi, how can I help you?",.
" hi": "Hey there! How can I assist you today?",.
" how are you": "I'm succeeding, thank you for asking.",.
" what can you do": "I can assist you with jobs such as discovering info, setting suggestions, and more!",.
" bye": "Bye-bye, have a great day!",.
}
# Produce a Chat circumstances with your reactions.
chatbot = Chat( reactions, reflections).
# Start talking!
chatbot.converse().
In this example, we have actually specified a dictionary of reactions for our chatbot to utilize. The secrets of the dictionary are the inputs that the user may go into, and the worths are the chatbot’s reactions. We then produce a Chat circumstances with these reactions and the reflections dictionary, which assists the chatbot manage variations of user input (such as altering “you are” to “I am” in reactions).
Lastly, we call the reverse technique on our chatbot to begin the discussion. The chatbot will trigger the user for input, and after that react with a proper message based upon the reactions dictionary.
Keep In Mind that this is a really easy example of a chatbot, and you can personalize it even more by including more reactions, utilizing routine expressions to manage more complicated input, and including artificial intelligence algorithms to make your chatbot smarter with time.