A basic project to make use of the OpenAI Whisper general-purpose speech recognition model to transcribe audio files.
Reference: https://github.com/openai/whisper
The transcriber function expects to be passed a model name to use, a blob container of input audio files, and (optionally) an output blob container for transcripts.
The recommended way to set up this project for development is using Poetry to install and manage a virtual Python environment. With Poetry installed, change into the project directory and run:
poetry install
Activate the virtualenv like so:
poetry shell
To run Python commands in the activated virtualenv, thereafter run them as normal:
python manage.py
Manage new or updating project dependencies with Poetry also, like so:
poetry add newpackage==1.0
This project uses confy to set environment variables (in a .env file).
The following variables are required for the project to run:
AZURE_CONNECTION_STRING=AzureStorageAccountConnectionString
Run locally like so:
python transcriber.py --help