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| title: Latincy Dashboard | |
| emoji: 🌍 | |
| colorFrom: yellow | |
| colorTo: blue | |
| sdk: streamlit | |
| sdk_version: 1.45.1 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| python_version: "3.12" | |
| # LatinCy Dashboard | |
| Streamlit dashboard for exploring features of the [LatinCy](https://huggingface.co/latincy) models (la_core_web_lg, la_core_web_md, la_core_web_sm v3.9.6). | |
| View dashboard [here](https://latincy.streamlit.app/) | |
| ## Demos | |
| - **Parsing** — UD/CoNLL-U column output (form, lemma, UPOS, XPOS, feats, head, deprel) with TSV export | |
| - **Custom Labels** — Visualize tokens covered by the [DCC Core Latin Vocabulary](https://dcc.dickinson.edu/latin-core-list1) | |
| - **Sentence Segmentation** — Segment paragraphs into sentences with text export | |
| - **Named Entity Recognition** — Highlight people, places, and groups (PER, LOC, NORP) | |
| - **Dependency Trees** — Visualize grammatical structure with displaCy | |
| - **Word Similarity** — Explore floret subword vector similarity between Latin words | |
| - **Morphology** — Analyze lemma, POS, case, gender, tense, mood, and more per token | |
| ## Setup | |
| ```bash | |
| pip install -r requirements.txt | |
| streamlit run app.py | |
| ``` | |
| Written by [diyclassics](https://github.com/diyclassics). April 2023, updated February 2026. | |