sbY99's picture
init
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import streamlit as st
from transformers import pipeline
from PIL import Image
pipeline = pipeline(task="image-classification", model="skyau/dog-breed-classifier-vit")
st.title("Dog Breed Classifier?")
file_name = st.file_uploader("Upload a dog 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)}%")