The main repo for Stage Whisper, our easy to use AI transcriber, powered by OpenAI's Whisper
Install Poetry. Then, from inside this repository:
poetry install # Required for first run only
poetry run stagewhisperOpenAI recently released Whisper, its automatic speech recognition (ASR) system that is trained on "680,000 hours of multilingual and multitask supervised data collected from the web." You can learn more by reading the paper [PDF] or looking at the examples on OpenAI's website.
As Dan Nguyen noted on Twitter, this could be a "godsend for newsrooms."
The only problem, as @PeterSterne pointed out, is that not all journalists (or others who could benefit from this type of transcription tool) are comfortable with the command line and installing the dependecies requried to run Whisper.
Our goal is to package Whisper in an easier to use way so that less technical users can take advantage of this neural net.
Peter came up with the project name, Stage Whisper.
@PeterSterne and @filmgirl (Christina Warren) created the project, and @HarrisLapiroff and @Crazy4Pi314 (Sarah Kaiser) are leading the development. We'd love to collaborate with anyone who has ideas about how we could more easily package Whisper and make it easy to use for non-technical users.
The project is still in the planning stages (again, contributors are welcome), but we hope to move quickly to getting some sort of MVP available. For the first version of Stage Whisper, we are working to create a simple GUI interface with Gooey and then package it into binaries that can be downloaded on Windows and MacOS. For subsequent versions of Stage Whisper, though, we are considering alternatives to Gooey, including an Electron app.
- Request features or ask questions on the project discussions on GitHub.
- Find a bug? Open an issue so that we can see how we can fix it.
- Want to contribute? Check out our good first issues and check out our contributing guide.
- Join our Discord server to discuss the project's planning and development.
Any code that we distribute will be open sourced and follow the license terms of any of the projects that we are using. Whisper is MIT licensed, but some of its dependencies (FFmpeg) are licensed under different terms. We will be sure to adhere to any/all licensing terms and in the event that we cannot bundle ffmpeg with Stage Whisper, we will make it as easy to obtain as possible for the end-user. Any Stage Whisper-specific code will be licensed under the MIT license.