OrionBot is a Python library that allows you to easily train and run chatbots, fully customizable.
To install OrionBot, simply use pip:
pip install orionbot
To use OrionBot, simply import the Chatbot class and create a new instance with a name:
from orionbot import Chatbot
bot = Chatbot("My Bot")
You can train your bot by calling the train method with an input text and a response text:
bot.train("Hi", "Hello there!")
You can also train your bot from a file:
bot.train_from_file("training_data.json")
Or, you can train your bot from the default file:
bot.train_from_default_file()
To get a response from your bot, simply call the get_response method with an input text:
response = bot.get_response("Hi")
print(response) # "Hello there!"
If your bot does not understand the input text, it will return a default response. You can set this response by calling the set_no_response_message method:
bot.set_no_response_message("I'm sorry, I didn't understand that.")
You can enable or disable training by calling the enable_training or disable_training methods:
bot.enable_training()
bot.disable_training()
Here are some examples of how to use OrionBot:
from orionbot import Chatbot
bot = Chatbot("Greeting Bot")
bot.train("Hi", "Hello there!")
bot.train("Hello", "Hi there!")
bot.train("Hey", "Hiya!")
print(bot.get_response("Hi")) # "Hello there!"
print(bot.get_response("Hey")) # "Hiya!"
print(bot.get_response("What's up?")) # "I'm sorry, I didn't understand that."
from orionbot import Chatbot
bot = Chatbot("Movie Bot")
bot.train("What's a good movie to watch?", "I recommend watching The Shawshank Redemption.")
bot.train("What's your favorite movie?", "My favorite movie is The Godfather.")
bot.train("Have you seen Inception?", "Yes, Inception is a great movie!")
print(bot.get_response("What's a good movie to watch?")) # "I recommend watching The Shawshank Redemption."
print(bot.get_response("What's your favorite movie?")) # "My favorite movie is The Godfather."
print(bot.get_response("Have you seen The Matrix?")) # "I'm sorry, I didn't understand that."
You can find more information on our GitHub repository