| import gradio as gr |
| from flair.data import Sentence |
| from flair.models import SequenceTagger |
|
|
| tagger = SequenceTagger.load('best-model.pt') |
|
|
| def run_ner(input_text): |
| sentence = Sentence(input_text) |
| tagger.predict(sentence) |
| entities = [] |
| for entity in sentence.get_spans('ner'): |
| entities.append((entity.text, entity.get_label('ner').value, entity.get_label('ner').score)) |
| return entities |
|
|
| demo = gr.Interface(fn=run_ner, |
| title='Named Entity Recognition Demo', |
| description='This demo performs **Named Entity Recognition** by tagging user-inputted sentence(s). Give it a try by entering a sentence or using one of the provided examples. Common tags include **geo** (geographical entity), **org** (organization), **per** (person), and **tim** (time). In the box on the right, the results will show the tagged words and their corresponding confidence scores.', |
| article='*This demo is based on a Named Entity Recognition model trained by Curtis Pond and Julia Nickerson as part of their FourthBrain capstone project. For more information, check out their [GitHub repo](https://github.com/nickersonj/glg-capstone).*', |
| inputs=gr.Textbox(label='Input Text', lines=2, placeholder='Type some text here...'), |
| outputs=gr.Textbox(label='Named Entity Recognition Results', lines=2, placeholder=''), |
| examples=['The indictments were announced Tuesday by the Justice Department in Cairo.', "In 2019, the men's singles winner was Novak Djokovic who defeated Roger Federer in a tournament taking place in the United Kingdom.", 'In a study published by the American Heart Association on January 18, researchers at the Johns Hopkins School of Medicine found that meal timing did not impact weight.'], |
| allow_flagging='never' |
| ) |
|
|
| demo.launch() |
|
|
