Upload app.py

app.py

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+# -*- coding: utf-8 -*-
+"""Gradio NER App.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1Xn7aDd9y80LflV7p-QKFbn4DAOjD1U9M
+"""
+
+!pip install -q transformers
+
+from transformers import pipeline
+
+ner_pipeline = pipeline("ner", model="Tirendaz/roberta-base-NER")
+
+text = "I am Tim and I work at Google"
+
+ner_pipeline(text)
+
+text_tr = "Benim adım Ali ve Trendyol'da çalışıyorum"
+ner_pipeline(text_tr)
+
+ner_pipeline(text_tr, aggregation_strategy = "simple")
+
+def ner(text):
+  output = ner_pipeline(text, aggregation_strategy="simple")
+  return {"text": text, "entities": output}
+
+!pip install -q gradio
+
+import gradio as gr
+
+examples = [
+    "My name is Tim and I live in California",
+    "Ich arbeite bei Google in Berlin",
+    "Ali, Ankara'lı mı?"
+]
+
+demo = gr.Interface(
+    ner,
+    gr.Textbox(placeholder="Enter sentence here..."),
+    gr.HighlightedText(),
+    examples=examples
+)
+
+demo.launch(share=True)
+