| import gradio as gr | |
| import spacy | |
| recommender = spacy.load('./model-best1') | |
| def recommend(resume): | |
| detail = '' | |
| doc = nlp(txt) | |
| for ent in doc.ents: | |
| detail = detail+' '+ent.label_.upper()+ " = "+ ent.text | |
| return detail | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| iface.launch() |