OpenAI Whisper Transcriptions with Rails 8

In this series, we'll build an automated transcription service that monitors a video hosting API, transcribes new videos, and uploads captions to those videos.

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10m

7 Lessons | 1h 58m | Intermediate

10m

Automatic Transcriptions Database Model

Mar 25, 2024 Pro

To start off our automated transcription series, we'll start by creating our database model for

11m

Video Hosting API Client from Scratch

Mar 27, 2024 Pro

Next up, we need to sync videos from our hosting provider's API so we'll build an API client from scratch using net/http in Ruby

15m

Syncing Videos With Video Hosting API Client

Mar 29, 2024 Pro

Next, we need to sync videos using our API client which we'll do with a higher level abstraction to integrate with the API.

10m

Video Sync Cron Job

Apr 01, 2024 Pro

Now that we can sync videos to our local database, we need to run this on a regular schedule. We'll use SolidQueue's recurring tasks feature to create cron jobs that run periodically for syncing.

Install and Running Whisper.cpp from Ruby

Whisper.cpp is an open source C/C++ port of OpenAI Whisper that we can use with Ruby for transcribing our videos. We'll also look at how ActiveStorage runs executables like ffmpeg to see how it works behind the scenes just like with what we're building.

28m

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Chris Oliver

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Intermediate

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