| 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() | |