Upload app.py

app.py

@@ -0,0 +1,23 @@
+from nbformat import write
+import pandas as pd
+import spacy
+import streamlit as st
+from spacy_streamlit import visualize_ner
+
+
+st.write("""
+# Finding tech trends on Data Science jobs using NER. (DEMO)
+""")
+
+nlp = spacy.load("en_core_web_sm")
+ruler = nlp.add_pipe("entity_ruler", before="ner")
+ruler.from_disk("data/patterns.jsonl")
+
+txt = st.text_area(label='Enter the job description')
+doc = nlp(txt)
+visualize_ner(doc, labels=nlp.get_pipe("ner").labels)
+
+st.json(
+    [{'label': entity.label_, 'text': entity.text, 'start': entity.start, 'end': entity.end} \
+        for entity in doc.ents if entity.ent_id_ == 'SKILLS']
+)