Add senter demo

app.py

@@ -16,5 +16,6 @@ st.markdown(
     ### See the demos
     - [Get basic spaCy data from a short text](parsing_demo)
     - [Visualize a custom span label](custom_label_demo), here tokens covered by the [DCC Core Latin Vocabulary](https://dcc.dickinson.edu/latin-core-list1)
+    - [Segment a paragraph into sentences](senter_demo)
 """
 )

pages/3_senter_demo.py

@@ -0,0 +1,47 @@
+import streamlit as st
+import spacy
+import datetime
+
+st.set_page_config(page_title="Sentence Segmenter", layout="wide")
+st.sidebar.header("Sentence Segmenter")
+
+
+# Load spaCy model (Latin large)
+@st.cache_resource
+def load_model():
+    return spacy.load("la_core_web_lg")
+
+
+nlp = load_model()
+
+st.title("Latin Sentence Segmenter")
+
+# Input text area
+text = st.text_area(
+    "Enter a paragraph of Latin text to segment into sentences:",
+    value="Haec narrantur a poetis de Perseo. Perseus filius erat Iovis, maximi deorum; avus eius Acrisius appellabatur. Acrisius volebat Perseum nepotem suum necare; nam propter oraculum puerum timebat. Comprehendit igitur Perseum adhuc infantem, et cum matre in arca lignea inclusit. Tum arcam ipsam in mare coniecit. Danae, Persei mater, magnopere territa est; tempestas enim magna mare turbabat. Perseus autem in sinu matris dormiebat.",
+    height=200,
+)
+
+sentences = []
+if st.button("Segment Sentences"):
+    doc = nlp(text)
+    sentences = [sent.text.strip() for sent in doc.sents]
+    st.success(f"Found {len(sentences)} sentences.")
+
+if sentences:
+    # Show sentences in a text area for easy copy/paste
+    sentences_text = "\n".join(sentences)
+    st.text_area("Sentences (one per line):", value=sentences_text, height=400)
+
+    # Download button
+    def create_timestamp():
+        return datetime.datetime.now().strftime("%Y%m%d%H%M%S")
+
+    st.download_button(
+        "Download Sentences as .txt",
+        sentences_text,
+        f"latin-sentences-{create_timestamp()}.txt",
+        "text/plain",
+        key="download-txt",
+    )