src/streamlit_app.py

import streamlit as st
from transformers import pipeline
from PIL import Image

pipeline = pipeline(task="image-classification", model="julienc/hotdog-not-hotdog")
st.title("Hot Dog? Or Not?")
file_name = st.file_uploader("Upload a hot dog candidate image")

if file_name is not None:
     col1, col2 = st.columns(2)
     image = Image.open(file_name)
     col1.image(image, use_column_width=True)
     predictions = pipeline(image)
     col2.header("Probabilities")
     for p in predictions:
         col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")