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()