KaranSaini/ComputerVision

1import streamlit as st2from transformers import pipeline3from PIL import Image4 5pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")6 7st.title("AIMLJan24 First App on Hugging face - Hot Dog? Or Not?")8 9file_name = st.file_uploader("Upload the test image to find is this hot dog ! ")10 11if file_name is not None:12    col1, col2 = st.columns(2)13 14    image = Image.open(file_name)15    col1.image(image, use_column_width=True)16    predictions = pipeline(image)17 18    col2.header("Probabilities")19    for p in predictions:20        col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")21 22 23        24