Key Features • Installation • Usage • Documentation • Support • Contributing • Credits • License
Requires Python, Ollama, and ffmpeg.
git clone https://github.com/willtheorangeguy/TBPN-Transcripts.git
cd TBPN-Transcripts
pip install -r requirements.txt
Full prerequisites, including GPU-accelerated Whisper, are in docs/usage.md.
python main.py <year>
That runs the whole pipeline end to end. Episodes live under 2025/.
Full documentation lives in docs/:
Quickstart · Installation · Configuration · Architecture · Pipeline · FAQ · Troubleshooting
Open a GitHub Discussion or file an issue.
Please contribute using GitHub Flow. Create a branch, add commits, and open a pull request.
Please read CONTRIBUTING for details on our CODE OF CONDUCT, and the process for submitting pull requests to us.
See the CHANGELOG file for details.
Contributions welcome. See the org-wide Contributing Guide and Code of Conduct.
| Python | OpenAI Whisper | Ollama | LanguageTool | TBPN |
| Web - Donate | GitHub | GitHub | GitHub | Web |
The pipeline code is MIT — see LICENSE.md.
The transcripts are not. They are machine-generated from recordings of TBPN episodes, and the words belong to their speakers and rights holders. See CONTENT_LICENSE.md before reusing any of it.