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app.py

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+from transformers import pipeline
+
+import gradio as gr
+
+pretrained_name = "cahya/bert-base-indonesian-NER"
+
+ner = pipeline(
+    "ner",
+    model=pretrained_name,
+    tokenizer=pretrained_name
+)
+
+examples = [
+    "Ada apa dengan Jokowi di istana negara?",
+]
+
+def ner(text):
+    output = ner(text)
+    return {"text": text, "entities": output}    
+
+demo = gr.Interface(ner,
+             gr.Textbox(placeholder="Enter sentence here..."), 
+             gr.HighlightedText(),
+             examples=examples)
+
+if __name__ == "__main__":
+    demo.launch()