File size: 383 Bytes
2b565c4 b3c1a68 2b565c4 b3c1a68 2b565c4 b3c1a68 2b565c4 b3c1a68 8daf463 b3c1a68 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
from transformers import pipeline
import numpy
import torch
import matplotlib.pyplot
import PIL
from PIL import Image
import streamlit as st
st.write('age detection')
upload_file = st.file_uploader('choose a image file',type='jpg')
pipe = pipeline("image-classifcation",model='dima806/facial_age_image_detection')
st.write(pipe(st.image(Image.open(upload_file)))[0]['label'])
|