This loader uses OpenAI's Whisper model to transcribe the text of an audio file or the audio track of a video file. The file formats .mp3 and .mp4 are preferred. A single local file is passed in each time you call load_data.

Usage

To use this loader, you need to pass in a Path to a local file.

from pathlib import Path
from gpt_index import download_loader

AudioTranscriber = download_loader("AudioTranscriber")

loader = AudioTranscriber()
documents = loader.load_data(file=Path('./podcast.mp3'))

This loader is designed to be used as a way to load data into GPT Index and/or subsequently used as a Tool in a LangChain Agent. See here for examples.