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() |