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

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

st.title("IS THIS A MOTHERTUCKING HOTDOG???")

file_name = st.file_uploader("Upload your hotdog here ;)")

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)}%")