使用Whisper的YouTube章节生成器
Downloads YouTube audio via yt-dlp, transcribes with Whisper, and uses NLP topic segmentation via TextTiling algorithm to auto-generate chapter markers with timestamps and titles.
Installation
Use the upstream install or setup path that matches your environment:
- pip install -U openai-whisper
- pip install git+https://github.com/1991513ccie-png/skills
- pip install --upgrade --no-deps --force-reinstall git+https://github.com/1991513ccie-png/skills
- 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:
- [Colab example]
- To update the package to the latest version of this repository, please run:
- bash
- Source: https://github.com/1991513ccie-png/skills
- Extracted from upstream docs: https://raw.githubusercontent.com/openai/whisper/HEAD/README.md
