YSDAtransformer / 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}")
st.markdown(f"IT'S MEEE! HELLO FRIEND")