How to use audio data in LangChain with Python

LangChain is a framework that enables applications to utilize Large Language Models (LLMs). It allows users to apply LLMs to their data and ask questions about the content. Since LLMs only work with textual data, audio files need to be transcribed into text first, which can be done using LangChain's AssemblyAI integration. This integration requires setting up an environment variable for the AssemblyAI API key and installing the necessary packages. The tutorial then demonstrates how to use the AssemblyAI document loader to transcribe audio files, load the transcribed text into LangChain documents, and create a Q&A chain to ask questions about spoken data. Additionally, LeMUR, an LLM framework optimized for specific tasks on spoken data with knowledge of all application's spoken data, is briefly mentioned as another option for integrating audio data.