Create app.py

app.py

@@ -0,0 +1,78 @@
+import spacy
+import json
+from datetime import datetime
+import streamlit as st
+
+nlp = spacy.load('la_core_web_lg')
+
+def tokenize_with_spacy(text):
+    doc = nlp(text)
+    return [token.text for token in doc]
+
+def annotate_text(segmented_text):
+    annotated_tokens = []
+    for token in segmented_text:
+        doc = nlp(token)
+        annotated_token = {
+            'token': token,
+            'pos': str(doc[0].pos_),
+            'lemma': str(doc[0].lemma_),
+            'aspect': ', '.join(doc[0].morph.get("Aspect", default=[""])),
+            'tense': ', '.join(doc[0].morph.get("Tense", default=[""])),
+            'verbForm': ', '.join(doc[0].morph.get("VerbForm", default=[""])),
+            'voice': ', '.join(doc[0].morph.get("Voice", default=[""])),
+            'mood': ', '.join(doc[0].morph.get("Mood", default=[""])),
+            'number': ', '.join(doc[0].morph.get("Number", default=[""])),
+            'person': ', '.join(doc[0].morph.get("Person", default=[""])),
+            'case': ', '.join(doc[0].morph.get("Case", default=[""])),
+            'gender': ', '.join(doc[0].morph.get("Gender", default=[""]))
+        }
+        annotated_tokens.append(annotated_token)
+    return annotated_tokens
+
+def save_annotations_as_json(annotated_text, filename):
+    with open(filename, 'w', encoding='utf-8') as json_file:
+        json.dump(annotated_text, json_file, ensure_ascii=False, indent=4)
+
+st.title("Annotation Tool")
+
+# Add Materialize CSS
+st.markdown('<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/1.0.0/css/materialize.min.css">', unsafe_allow_html=True)
+
+text = st.text_area("Text")
+if st.button("Annotate"):
+    if text:
+        segmented_text = tokenize_with_spacy(text)
+        annotated_text = annotate_text(segmented_text)
+        st.subheader("Segmented Text:")
+        st.write(segmented_text)
+        st.subheader("Annotated Text:")
+
+        for token in annotated_text:
+            st.write(f"Token: {token['token']}")
+            st.write(f"POS: {token['pos']}")
+            st.write(f"Lemma: {token['lemma']}")
+            st.write(f"Aspect: {', '.join(token['aspect'])}")
+            st.write(f"Tense: {', '.join(token['tense'])}")
+            st.write(f"VerbForm: {', '.join(token['verbForm'])}")
+            st.write(f"Voice: {', '.join(token['voice'])}")
+            st.write(f"Mood: {', '.join(token['mood'])}")
+            st.write(f"Number: {', '.join(token['number'])}")
+            st.write(f"Person: {', '.join(token['person'])}")
+            st.write(f"Case: {', '.join(token['case'])}")
+            st.write(f"Gender: {', '.join(token['gender'])}")
+            st.write("-----")
+
+    else:
+        st.warning("Please enter some text.")
+
+if st.button("Save Modifications as JSON"):
+    if annotated_text:
+        # Generate a unique file name using a timestamp
+        timestamp = datetime.now().strftime("%Y%m%d%H%M%S")
+        filename = f'annotations_{timestamp}.json'
+        save_annotations_as_json(annotated_text, filename)
+        st.success(f"Annotations saved as {filename}")
+
+# Add Materialize JavaScript
+st.markdown('<script src="https://cdnjs.cloudflare.com/ajax/libs/materialize/1.0.0/js/materialize.min.js"></script>', unsafe_allow_html=True)