add NER features

.gitignore

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app.py

@@ -1,7 +1,18 @@
 import gradio as gr
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+get_completion = pipeline("ner", model="dslim/bert-base-NER")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def ner(input):
+    output = get_completion(input)
+    return {"text": input, "entities": output}
+
+demo = gr.Interface(fn=ner,
+                    inputs=[gr.Textbox(label="Text to find entities", lines=2)],
+                    outputs=[gr.HighlightedText(label="Text with entities")],
+                    title="NER with dslim/bert-base-NER",
+                    description="Find entities using the `dslim/bert-base-NER` model under the hood!",
+                    allow_flagging="never",
+                    #Here we introduce a new tag, examples, easy to use examples for your application
+                    examples=["My name is Andrew and I live in California", "My name is Poli and work at HuggingFace"])
+demo.launch()

requirements.txt

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+transformers[torch]
+gradio