Packages used¶

Pin source of truth is pyproject.toml ([project.dependencies] and [project.optional-dependencies]). This page is a map, not a second pin list.

CVE / waiver policy: dependency_audit.md. Analysis model IDs: models.md. Install profiles: install_profiles_matrix.md.

Core wheel¶

pip install transcriptx (no extras) is the analysis core plus the Streamlit launcher entry point. It deliberately omits compiled NLP / voice / BERTopic stacks so a clean host install is not blocked by llvmlite / CUDA wheels. Exact pins: pyproject.toml [project.dependencies].

The GUI extra is separate: Streamlit is [web], not in [full]. Docker / transcriptx.sh install the GUI via requirements.txt.

Install extras¶

Extra	What it is for
`web`	Streamlit GUI. Not included in `[full]`.
`nlp` / `ner`	spaCy NER (`ner` is an alias; modules require `nlp`).
`emotion_lexical`	NRCLex lexical emotion.
`emotion_transformers`	Torch + Transformers contextual / fine-grained emotion.
`emotion`	Compatibility union of the two emotion extras.
`voice`	pyannote / openSMILE / librosa analysis audio.
`speaker_match`	SpeechBrain speaker embeddings (separate from analysis `[voice]`).
`keyphrases`	YAKE / KeyBERT (noun-chunks still run without this extra).
`bertopic`	BERTopic + hdbscan + umap-learn. Optional; see bertopic_optional_module.md.
`maps`	Folium / geopy / Playwright for NER map HTML→PNG.
`visualization`	matplotlib, seaborn, wordcloud, ebooklib (Overview EPUB).
`plotly`	Plotly.
`full`	Union of the analysis extras above (not `[web]`, `[dev]`, or `[docs]`).
`dev`	pytest, linters, pre-commit, plus matplotlib/seaborn/geopy for smoke tests.
`docs`	Sphinx, MyST, Furo.

Workspace package¶

packages/transcriptx_workspaces is the Theme C Streamlit Components v2 package (Speaker ID workspace). Install alongside [web]:

pip install -e packages/transcriptx_workspaces

If it is not installed, Speaker ID falls through to the classic UI. See theme_c_workspaces_ccv2.md.