code/predict.py

import time
from transformers import pipeline

pipeline = pipeline("sentiment-analysis", model="juliensimon/autonlp-imdb-demo-hf-16622767", use_auth_token=True)

data = "Dune is something rarely seen anymore – it’s an epic."

tick=time.time_ns()
for i in range(0,100):
    response=pipeline(data)
tock=time.time_ns()

print("%.2fms" % ((tock-tick)/1000/1000/100))