Create a Watson Assistant chatbot that uses voice over a web browser.
This document introduces a code pattern for creating a web-based chatbot with voice input and output. It describes the use of Watson Assistant for conversation dialog, Watson Speech to Text for capturing user voice, and Watson Text to Speech for playback responses. The web application is built using JQuery and Python Flask, allowing users to interact with the chatbot using voice commands and receive audio responses.
This code pattern demonstrates the implementation of a web-based chatbot with voice input and output capabilities. By integrating Watson services such as Speech to Text, Text to Speech, and Assistant, users can interact with the chatbot using voice commands and receive audio responses. The use of JQuery and Python Flask simplifies the development of the web application, showcasing an innovative approach to chatbot technology.
Flask is a lightweight and popular web framework for Python, known for its simplicity and flexibility. It is widely used to build web applications, providing a minimalistic approach to web development with features like routing, templates, and support for extensions.
ESLint is a linter for JavaScript that analyzes code to detect and report on potential problems and errors, as well as enforce consistent code style and best practices, helping developers to write cleaner, more maintainable code.