This markdown data is a demonstration of how to construct voice-driven and speech-to-speech AI applications. The applications are built using daily-python, Deepgram real-time transcription, Azure OpenAI GPT-4, OpenAI DALL-E 2, and PlayHT Text-To-Speech. The user is encouraged to tell a story idea to the AI, with examples given such as "A unicorn island...in the sky", "A cobbler's favorite cobbler", and "Three elves go dirtbiking". Upon completion, the user can read their story.
The demonstration is part of a blog post on GitHub named llm-talk. The purpose of the blog post is to showcase the potential of these AI technologies in creating interactive applications. The AI is designed to take user inputs, process them, and generate a unique output, in this case, a story based on the user's idea.
Key takeaways:
The AI can generate a story based on your idea.
It provides examples of story ideas to inspire you.
The demo is built on top of several AI technologies including daily-python, Deepgram real-time transcription, Azure OpenAI GPT-4, OpenAI DALL-E 2, and PlayHT Text-To-Speech.
The blog post provides more information and can be found on GitHub under the name 'llm-talk'.
