first commit

app.py

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+!pip install -U spacy==3.0.0
+!pip install gradio
+
+import spacy
+import gradio as gr
+
+!python3 -m spacy download en_core_web_lg 
+
+nlp = spacy.load("en_core_web_lg")
+def ner(text):
+    doc =  nlp(text)
+    entities= []
+    for entity in doc.ents:
+      word = entity.text
+      label = entity.label_
+      entities.append((word,label))
+    return entities   
+examples = "Donald Trump is president of America"
+demo = gr.Interface(ner, 
+             gr.Textbox(placeholder="Enter sentence here..."), 
+             gr.HighlightedText())
+
+demo.launch(debug = True)