A whisper-based, lightweight transcription pipeline for processing audio and/or video files in batch mode, generating accurate transcriptions with color-coded confidence scores to indicate the reliability of each transcribed segment. For the demo of whisper's capability, visit replicate.com/openai/whisper.
To start up, install the dependencies from the file requirements.txt. You can run python pipe.py to start the pipeline after you modify your folder name and model preference in pipe.py.
- Support configuring input, output, and model preference through argument parsing
- Add a test program for demonstration
- Support smarter paragraph splitting (By default, we combine
15adjacent sentence blocks into a paragraph currently.)