Spaces:
Running
Running
| import streamlit as st | |
| import spacy | |
| from spacy_streamlit import visualize_parser | |
| st.set_page_config(page_title="Dependency Demo", layout="wide") | |
| st.sidebar.header("Dependency Demo") | |
| default_text = """Haec narrantur a poetis de Perseo. Perseus filius erat Iovis, maximi deorum; avus eius Acrisius appellabatur.""" | |
| st.title("Latin Dependency Tree Visualizer") | |
| st.markdown( | |
| """ | |
| This demo renders **dependency parse trees** for Latin sentences, showing | |
| how words relate to each other grammatically. | |
| **Common dependency labels:** | |
| - **nsubj** — nominal subject | |
| - **obj** — direct object | |
| - **obl** — oblique argument (e.g. prepositional phrases) | |
| - **amod** — adjectival modifier | |
| - **nmod** — nominal modifier | |
| - **advmod** — adverbial modifier | |
| - **conj** — conjunct | |
| """ | |
| ) | |
| model_selectbox = st.sidebar.selectbox( | |
| "Choose model:", ("la_core_web_lg", "la_core_web_md", "la_core_web_sm") | |
| ) | |
| compact = st.sidebar.checkbox("Compact mode", value=False) | |
| def load_model(model_name): | |
| return spacy.load(model_name) | |
| nlp = load_model(model_selectbox) | |
| tab1, tab2 = st.tabs(["Parse", "About"]) | |
| with tab1: | |
| text = st.text_area( | |
| "Enter Latin text (keep to 3–5 sentences for readable trees):", | |
| value=default_text, | |
| height=200, | |
| ) | |
| if st.button("Parse"): | |
| doc = nlp(text) | |
| sents = list(doc.sents) | |
| if len(sents) > 10: | |
| st.warning("Showing first 10 sentences only.") | |
| sents = sents[:10] | |
| for i, sent in enumerate(sents): | |
| st.markdown(f"**Sentence {i + 1}**") | |
| sent_doc = nlp(sent.text) | |
| visualize_parser( | |
| sent_doc, | |
| title="", | |
| displacy_options={"compact": compact}, | |
| key=f"dep_sent_{i}", | |
| ) | |
| with tab2: | |
| st.markdown(""" | |
| ## About | |
| This demo renders **dependency parse trees** using the | |
| [Universal Dependencies](https://universaldependencies.org/) framework. | |
| ### Common Dependency Relations | |
| | Label | Relation | Example | | |
| |-------|----------|---------| | |
| | **nsubj** | Nominal subject | *Caesar* venit | | |
| | **obj** | Direct object | librum *legit* | | |
| | **obl** | Oblique (prep. phrases) | *in urbe* | | |
| | **amod** | Adjectival modifier | vir *bonus* | | |
| | **nmod** | Nominal modifier | *urbis* murus | | |
| | **advmod** | Adverbial modifier | *bene* facit | | |
| | **conj** | Conjunct | *Caesar et Pompeius* | | |
| | **cop** | Copula | bonus *est* | | |
| | **xcomp** | Open clausal complement | *dicere* vult | | |
| | **advcl** | Adverbial clause | *cum venisset* | | |
| ### Notes | |
| - Trees follow UD v2 annotation guidelines | |
| - The root of each sentence is the main predicate | |
| - Compact mode collapses the tree vertically for long sentences | |
| - Trained on 5 Latin UD treebanks: Perseus, PROIEL, ITTB, LLCT, UDante | |
| ### Reference | |
| [Universal Dependencies for Latin](https://universaldependencies.org/la/) | |
| """) | |