Extract phone call insights with LLMs in Python

In this tutorial, we learn how to use LLMs (Large Language Models) to extract insights from a customer call in just a few lines of code. We first transcribe the audio file using AssemblyAI's Python SDK and then utilize LeMUR, their framework for building LLM applications on audio data, to extract a summary, action items, and contact information. The prompts provided ensure that the LLM accurately identifies key details from the call transcript. This method can be applied across various industries to gain valuable insights from customer interactions and improve services accordingly.