Update app.py

app.py

@@ -1,3 +1,4 @@
+from numpy import place
 import spacy
 import streamlit as st
 from spacy_streamlit import visualize_ner
@@ -11,14 +12,18 @@ 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("patterns.jsonl")
+ruler.from_disk("data/patterns.jsonl")
+
+description = "Built with love 💙 Python, Spacy, Streamlit and Huggingface 🤗"
+text = st.text_area(label='Job Description', value=description, placeholder='Please enter a job description')
 
-txt = st.text_area(label='Enter the job description')
-doc = nlp(txt)
+doc = nlp(text)
 visualize_ner(doc, labels=nlp.get_pipe("ner").labels)
 
+st.subheader('Skill Requirements')
 st.json(
     [{'label': entity.label_, 'text': entity.text, 'start': entity.start, 'end': entity.end} \
         for entity in doc.ents if entity.ent_id_ == 'SKILLS']