How to use audio data in LlamaIndex with Python

LlamaIndex is a flexible data framework that allows users to connect custom data sources to Large Language Models (LLMs). It enables easy storage and indexing of data, which can then be processed by LLMs. The integration of AssemblyAI into Llama Hub facilitates the transcription of audio files into text using just a few lines of code. This tutorial demonstrates how to transcribe audio files, load the transcribed text into LlamaIndex documents, and create a Query Engine to ask questions about spoken data.