Create app.py

app.py

@@ -0,0 +1,13 @@
+import streamlit as st
+from transformers import AutoTokenizer, AutoModelForTokenClassification
+from transformers import pipeline
+
+tokenizer = AutoTokenizer.from_pretrained("Davlan/bert-base-multilingual-cased-ner-hrl")
+model = AutoModelForTokenClassification.from_pretrained("Davlan/bert-base-multilingual-cased-ner-hrl")
+nlp = pipeline("ner", model=model, tokenizer=tokenizer)
+
+example = st.text_area("Enter text: ")
+
+if example:
+    ner_results = nlp(example)
+    st.json(ner_results)