Building AI Workflows: Combining LLMs and Voice Models - Part 1
In this guide we'll build a fully autonomous AI podcast, combining an LLM for script writing and a text-to-speech model to produce the audio content. By the end of this guide we'll be able to produce podcast style audio content from simple text prompts like "a 10 minute podcast about [add your topic here]".
In this first part we'll focus on generating the audio content, here's a sample of what we'll be able to produce:
Obviously, that example is a bit tongue-in-cheek, but the same features and techniques can be used to easily generate any number of outputs depending on your choice of models and how they're combined.
In this first part we'll using the suno/bark model from Hugging Face to generate the audio content. In part two we'll look at adding an LLM agent to our project to automatically generate scripts for our podcasts from small prompts.
Next, let's install our base dependencies, then add the extra dependencies we need specifically for this project including the transformers library from Hugging Face.
