agentskillexchange OpenAI Whisper Batch Transcription Pipeline
Processes audio files from an S3 bucket using Whisper large-v3, splitting recordings into 30-second chunks with ffmpeg before transcription. Outputs timestamped SRT and VTT subtitle files plus plain-text transcripts, then uploads artifacts back to S3. Supports language auto-detection and translation to English.
Installation
Use the upstream install or setup path that matches your environment:
- pip install -U openai-whisper
- pip install git+https://github.com/openai/whisper.git
- pip install --upgrade --no-deps --force-reinstall git+https://github.com/openai/whisper.git
- brew install ffmpeg
Requirements and caveats from upstream:
- We used Python 3.9.9 and PyTorch 1.10.1 to train and test our models, but the codebase is expected to be compatible with Python 3.8-3.11 and recent PyTorch versions. The codebase also depends o...
- Alternatively, the following command will pull and install the latest commit from this repository, along with its Python dependencies:
- It also requires the command-line tool ffmpeg to be installed on your system, which is available from most package managers:
Basic usage or getting-started notes:
To update the package to the latest version of this repository, please run:
bash
Extracted from upstream docs: https://raw.githubusercontent.com/openai/whisper/HEAD/README.md