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5e0ee08 1ca5171 5e0ee08 dae1bd3 5e0ee08 dae1bd3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | 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)
@st.cache_resource
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/)
""")
|