Upload app.py

app.py

@@ -0,0 +1,28 @@
+# -*- coding: utf-8 -*-
+"""ner_app.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1EOyiqIkIiPPP4oj114POiTpju4Ri8Xxn
+"""
+
+#!pip install gradio
+#!pip install transformers
+
+import gradio as gr
+from transformers import pipeline
+
+ner_model=pipeline('ner',model="ShakhzoDavronov/electra-ner-token-classification")
+ner_model('Amazon announced its plans to open a new headquarters in Virginia, aiming to create over 25,000 jobs in the area by 2030.',aggregation_strategy='average')
+
+def ner(text):
+  output=ner_model(text,aggregation_strategy='average')
+  return {'text':text,'entities':output}
+
+input_textbox=gr.Textbox(label='Type text here to get named entities',placeholder='type...',lines=4)
+output_textbox=gr.HighlightedText(label='Named entities')
+samples=["Elon founded SpaceX.","The conference will be held in San Francisco next April.","Amazon announced its plans to open a new headquarters in Virginia, aiming to create over 25,000 jobs in the area by 2030."]
+demo=gr.Interface(fn=ner, inputs=input_textbox, outputs=output_textbox,examples=samples)
+demo.launch()
+