The train method of the Chatbot class is used to train the chatbot on new input and response pairs. Here’s how you can use it:
my_bot = Chatbot(name="MyBot")
my_bot.train("Hello", "Hi there!")
The train method takes two parameters:
input_text: The input text to train the chatbot on. This can be any string.response_text: The response text to associate with the input text. This can also be any string.Here’s an example of how to use the train method to train the chatbot on multiple input and response pairs:
my_bot = Chatbot(name="MyBot")
my_bot.train("Hello", "Hi there!")
my_bot.train("How are you?", "I'm doing well, thanks for asking.")
my_bot.train("What's your name?", "My name is MyBot.")
In the example above, we create a new Chatbot instance called my_bot and then train it on three different input and response pairs.
train method adds the input and response pair to the training data, which is stored in a JSON file.Chatbot instance is created, so any previously trained input and response pairs will be available for the chatbot to use.train method also updates the TfidfVectorizer object used by the chatbot to vectorize the input text. This ensures that any new words in the training data are accounted for when generating response vectors.train_from_file method to read input and response pairs from a JSON file.