app.py

# https://huggingface.co/docs/hub/spaces-sdks-streamlit

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

pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")

st.title("Hot Dog? Or Not?")

file_name = st.file_uploader("Upload a hot dog candidate image")

# Add a placeholder
latest_iteration = st.empty()
bar = st.progress(0)

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")

    i = 0
    for p in predictions:  
        col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")
        bar.progress(i + 1)
        time.sleep(0.1)

bar.progress(0)