Create app.py

app.py

@@ -0,0 +1,18 @@
+# load ner model
+from transformers import pipeline
+
+ner_pipe = pipeline(
+    'ner',
+    model= 'dslim/bert-base-NER',
+    aggregation_strategy = 'simple'
+)
+def ext_entities(sentence):
+    doc = ner_pipe(sentence.title())
+    outputs = ''
+    for t in doc:
+        outputs += f"{t['word']} - {t['entity_group']}\n{t['score']}\n"
+    return outputs
+import gradio as gr
+
+demo = gr.Interface(fn=ext_entities,inputs='text',outputs='text',title='Extract Entities')
+demo.launch()