priyag/imageprocessing

1import streamlit as st2from transformers import pipeline3from PIL import Image    #to load image from image module from pillow package4pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")5st.title("Hot Dog? Or Not?")6 7file_name = st.file_uploader("Upload a hot dog image")8if file_name is not None:9    col1,col2 = st.columns(2)10    image = Image.open(file_name)11    col1.image(image, use_column_width=True)12    predictions = pipeline(image)13    14    col2.header("Probabilities")15    for p in predictions:16        col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")