📄️ The Architecture of Pipecat
pipecat is a framework for building real-time, multimodal AI apps. "Multimodal" means you can use any combination of audio, video, images, and/or text in your interactions. And "real-time" means that things are happening quickly enough that it feels conversational—a "back-and-forth" with a bot, not submitting a query and waiting for results.
📄️ From Theory to Practice: A Simplified Bot
Let's create a pipeline for a basic chatbot to see how it all works. Here's a lightly modified version of examples/foundational/06-listen-and-respond.py:
📄️ The Interruptible Version
In order to make this truly interactive, we need to add the ability to interrupt the bot. There's a method in the transport for that. Here's what the end of our app looks like now:
📄️ Building Your Own Services
Once you've built a few simple bots by combining existing services, you'll want to start solving more complex problems, which means building your own services. Fortunately, it's pretty straightforward
📄️ Debugging Pipecat apps
Debug logging