Create app.py

app.py

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+from flair.data import Sentence
+from flair.models import SequenceTagger
+import streamlit as st
+
+# load tagger
+tagger = SequenceTagger.load("flair/ner-english-large")
+
+# make example sentence
+text=st.text_area("Enter the text to detect it's named entities")
+sentence = Sentence(text)
+
+# predict NER tags
+tagger.predict(sentence)
+
+# print sentence
+print(sentence)
+
+# print predicted NER spans
+print('The following NER tags are found:')
+# iterate over entities and printx
+for entity in sentence.get_spans('ner'):
+    print(entity)