| import spacy | |
| import gradio as gr | |
| nlp = spacy.load(r"./model-last") | |
| def ner(sentence): | |
| doc = nlp(sentence) | |
| ents = [(e.text, e.label_) for e in doc.ents] | |
| return ents | |
| title = "Spacy NER" | |
| desc = "(GPE01)->臺北市、新北市、桃園市、臺中市、臺南市、高雄市。(GPE02)->新竹縣、苗栗縣、彰化縣、南投縣、雲林縣、嘉義縣、屏東縣、宜蘭縣、花蓮縣、臺東縣、澎湖縣、金門縣、連江縣。(GPE03)->基隆市、新竹市、嘉義市。" | |
| demo = gr.Interface(fn=ner, inputs="text", title=title, description=desc, outputs = "text") | |
| demo.launch() | |
| if __name__ == "__main__": | |
| demo.launch() |