Offered By: IBMSkillsNetwork
Create a Voice Assistant with OpenAI's GPT-3 and IBM Watson
Create your own voice assistant using OpenAI's advanced language processing technology and IBM Watson Embeddable AI. Your assistant will be able to understand and respond to your questions and requests in real time, using voice utilizing text-to-speech and speech-to-text capabilities. By the end of the guided project, you'll have a fully functional AI-powered voice assistant to help you with whatever questions you have, anytime, anywhere.Continue reading
At a Glance
Create your own voice assistant using OpenAI's advanced language processing technology and IBM Watson Embeddable AI. Your assistant will be able to understand and respond to your questions and requests in real time, using voice utilizing text-to-speech and speech-to-text capabilities. By the end of the guided project, you'll have a fully functional AI-powered voice assistant to help you with whatever questions you have, anytime, anywhere.
In this guided project, you'll learn how to build your own AI assistant using OpenAI's pre-trained GPT-3 model. Unlike the popular ChatGPT which communicates with text, your personal assistant will use voice. You will use Watson Speech-to-Text to give your AI assistant the gift of hearing and Watson Text-to-Speech so that your assistant can read the answers back to you.
With a voice-based personal assistant at your beck and call, you'll be able to get answers, find information, and even have conversations, all without lifting a finger.
A Look at the Project Ahead
- Understand the basics of chatbots and their various applications
- Implement IBM Watson Speech-to-Text functionality to allow the chatbot to understand voice input from users
- Integrate the chatbot with OpenAI's GPT-3 model to give it a high level of intelligence and the ability to understand and respond to user requests
- Implement IBM Watson Text-to-Speech functionality to allow the chatbot to communicate with users through voice output
- Combine all of the above components to create a functioning chatbot that can take voice input and provide a spoken response
- (Optional) Understand how to deploy the chatbot to a public server
What You'll Need
You will build your project using the IBM Skills Network Labs, a virtual lab environment that will provide you with everything you need to complete your project. The only thing you need is a modern web browser like Chrome, Firefox, Edge, or Safari. If you would like to showcase your project or deploy it in production for others to use, we recommend deploying it to the IBM Cloud® Code Engine or a similar fully managed serverless or Kubernetes service. This guided project will teach you how to deploy your assistant to the Code Engine service.
IBM Cloud® Code Engine is a fully managed, serverless platform. Bring your container images, batch jobs, or source code, and let IBM Cloud Code Engine manage and secure the underlying infrastructure for you. There is no need to size, deploy, or scale container clusters yourself. And no networking skills are required either. You can try it at no charge and receive USD$200 in cloud credits.
At the end of this guided project, you'll have a fully functional voice assistant that you can deploy anywhere. You'll also have a solid understanding of how to add voice capabilities to any application using IBM Watson Speech Libraries for Embed, making you well-equipped to tackle more advanced projects in the future.
Skills You Will Learn
Python, Text-to-Speech, Chatbots, Speech-To-Text, Embeddable AI
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