Python: Simple Chatbot

This Python snippet creates a simple chatbot using the 'nltk' library for natural language processing. The chatbot can understand and respond to user queries based on predefined patterns and responses, making it useful for customer support, information kiosks, and interactive websites.

The snippet provides a basic framework for a rule-based chatbot, which responds to common inquiries and can be expanded with more complex conversation capabilities. It's a great starting point for developers looking to integrate conversational agents into their applications.

By leveraging the 'nltk' library, the chatbot can parse and understand user inputs, providing relevant responses. This interaction enhances user engagement and can help businesses automate responses to frequently asked questions.

This tool is particularly useful for businesses looking to provide an interactive and responsive user experience on their websites or in mobile apps, reducing the need for human operators in initial customer interactions.

Below is the complete code for creating a simple chatbot, a foundational step towards more advanced conversational AI applications.