Audio Transcription

1. The extraction graph creates an endpoint which accepts audio files and transcribes them using OpenAI's Whisper model
2. You can continuously transcribe audio with this pipeline by uploading audio files to indexify server.
3. You can run 1000s of instances of the extractors in parallel transcribe audio in a fault tolerant manner.

Code Reference

Link to Code

1. graph.yaml - contains the extraction graph.
2. setup_graph.py - Sets up the extraction graph in Indexify Server
3. upload_and_retrieve.py - Uploads audio into the extraction graph, waits for extraction and finally retrieves from the endpoint.

Download & Start Indexify Server

Terminal 1

curl https://getindexify.ai | sh
./indexify server -d

Download & Join Indexify Extractors

Terminal 2

virtualenv ve
source ve/bin/activate

pip install indexify-extractor-sdk
indexify-extractor download tensorlake/whisper-asr
indexify-extractor join-server

Setup the Graph

Terminal 3

python setup_graph.py

Upload Data and Retrieve

The next step is to upload an audio file and retrieve the transcript

Terminal 3

python upload_and_retrieve.py