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| # -*- coding: utf-8 -*- | |
| """Building-A-NER-App | |
| Automatically generated by Colaboratory. | |
| Original file is located at | |
| https://colab.research.google.com/drive/1bYdWk-RnDhGzdEClGI-n6X8W4P2Nnh6H | |
| """ | |
| #!pip install -U tensorflow-probability | |
| from transformers import pipeline | |
| ner_pipeline = pipeline("ner", model="Tirendaz/roberta-base-NER") | |
| text = "I am Tim and I work at FaceBook." | |
| ner_pipeline(text) | |
| ner_pipeline(text, aggregation_strategy="simple") | |
| def ner(text): | |
| output = ner_pipeline(text, aggregation_strategy="simple") | |
| return {"text": text, "entities": output} | |
| ner(text) | |
| 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 a sentence here..."), | |
| gr.HighlightedText(), | |
| examples = examples | |
| ) | |
| demo.launch(share = True) |