File size: 587 Bytes
8ee0687 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 |
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("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)}%")
|