| import gradio as gr | |
| from transformers import pipeline | |
| get_completion = pipeline("ner", model="tororoin/longformer-8bitadam-2048-main") | |
| def ner(input): | |
| output = get_completion(input) | |
| return {"text": input, "entities": output} | |
| demo = gr.Interface(fn=ner, | |
| inputs=[gr.Textbox(label="Text to find entities", lines=4)], | |
| outputs=[gr.HighlightedText(label="Text with entities")], | |
| title="Detecting PII", | |
| description="Find PII in text data! A small demo", | |
| allow_flagging="never", | |
| examples=["My name is Andrew and I live in at Baker Str"]) | |
| demo.launch() |