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app.py

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+import streamlit as st
+
+st.markdown("### Hello, world!")
+st.markdown("<img width=200px src='https://rozetked.me/images/uploads/dwoilp3BVjlE.jpg'>", unsafe_allow_html=True)
+
+text = st.text_area("TEXT HERE")
+
+from transformers import pipeline
+pipe = pipeline("ner", "Davlan/distilbert-base-multilingual-cased-ner-hrl")
+raw_predictions = pipe(text)
+
+st.markdown(f"{raw_predictions}")