| import gradio as gr | |
| from transformers import pipeline | |
| get_completion = pipeline("ner", model="dslim/bert-base-NER") | |
| def ner(input): | |
| output = get_completion(input) | |
| return {"text": input, "entities": output} | |
| gr.close_all() | |
| 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", | |
| ) | |
| demo.launch() |