Upload app.py

app.py

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+# -*- coding: utf-8 -*-
+"""Gradio-App-for-NER.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/18duqjwAF3DkX1CsVvr0mc0T763VCd5Q4
+
+<a href="https://colab.research.google.com/github/TirendazAcademy/Hugging-Face-Tutorials/blob/main/Gradio_App_for_Ner.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
+
+# Gradio Demo: ner_pipeline
+"""
+
+from transformers import pipeline
+
+import gradio as gr
+
+ner_pipeline = pipeline("ner", model = "Tirendaz/roberta-base-NER")
+
+examples = [
+    "My name is Tim and I live in California.",
+    "Ich arbeite bei Google in Berlin",
+    "Ali, Ankara'lı mı?"
+]
+
+def ner(text):
+    output = ner_pipeline(text, aggregation_strategy="simple")
+    return {"text": text, "entities": output}
+
+demo = gr.Interface(ner,
+             gr.Textbox(placeholder="Enter sentence here..."),
+             gr.HighlightedText(),
+             examples=examples)
+
+demo.launch(inline=False, share=True)