Changes for Flatpak#161
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Switching to AGPL3
Switch License to AGPL3
Updated README to include installation options for Flathub and MacOS Apple Silicon, along with minor formatting improvements.
Enhance README with installation options and formatting
Evaluates aTrain against the OWASP Top 10 for LLM Applications (2025), documenting per-risk applicability, conclusions, and mitigations for Whisper ASR and pyannote speaker diarization. Relates to #138
Co-authored-by: Jürgen Fleiß <118339672+JuergenFleiss@users.noreply.github.com>
…rity-assessment docs: Add OWASP Top 10 for LLM Applications applicability assessment
Update Roadmap in README
aTrain_core pins torch==2.8.0+cu128, which is only published on download.pytorch.org and never on PyPI. Declaring the PyTorch index under [tool.uv.sources] makes `uv sync` work without ad-hoc CLI flags. Adds uv.lock for reproducible, hash-pinned dependency resolution.
Adds a "Local development setup" section to CONTRIBUTING.md and a short
"For contributors" pointer in README.md. The previous PR commit
encoded the uv-only routing in pyproject.toml (`[tool.uv.sources]`,
`[[tool.uv.index]]`, `uv.lock`); this commit makes that choice
visible to new contributors so they do not have to reverse-engineer
the install path.
The recommended sequence:
uv sync # install runtime dependencies
uv run aTrain init # download required ML models
uv run aTrain start # run the app
The historical `pip install --extra-index-url ...` workflow still
works but is no longer documented.
Owner
Author
|
@ArminHaberl merge if also fine for you |
build: route torch via PyTorch index, lock dependencies with uv.lock
Collaborator
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Already tested this and works on Windows as well. |
Collaborator
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@JuergenFleiss You can merge if you want :D |
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