malik / app.py
aljarah's picture
Update app.py
e0b3cd3 verified
raw
history blame
569 Bytes
import streamlit as st
from transformers import pipeline
from PIL import Image
pipeline = pipeline(task="text-generation", model="liuhaotian/llava-v1.6-34b")
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)}%")