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https://github.com/driftingruby/395-transcribing-with-artificial-intelligence
In this episode, we look at creating an audio transcription service which allows files uploaded from Active Storage to be transcribed with Artificial Intelligence. However, there are a lot of considerations around the approach from both a performance and thread safety perspectives.
https://github.com/driftingruby/395-transcribing-with-artificial-intelligence
artificial-intelligence openai ruby ruby-on-rails whisper
Last synced: 9 days ago
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In this episode, we look at creating an audio transcription service which allows files uploaded from Active Storage to be transcribed with Artificial Intelligence. However, there are a lot of considerations around the approach from both a performance and thread safety perspectives.
- Host: GitHub
- URL: https://github.com/driftingruby/395-transcribing-with-artificial-intelligence
- Owner: driftingruby
- Created: 2023-04-03T05:36:06.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-04-03T05:36:16.000Z (over 1 year ago)
- Last Synced: 2023-08-05T00:43:00.832Z (over 1 year ago)
- Topics: artificial-intelligence, openai, ruby, ruby-on-rails, whisper
- Language: Ruby
- Homepage: https://www.driftingruby.com/episodes/transcribing-with-artificial-intelligence
- Size: 39.1 KB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# README
This README would normally document whatever steps are necessary to get the
application up and running.Things you may want to cover:
* Ruby version
* System dependencies
* Configuration
* Database creation
* Database initialization
* How to run the test suite
* Services (job queues, cache servers, search engines, etc.)
* Deployment instructions
* ...