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

pipeline = pipeline(task="image-to-text", model="Salesforce/blip-image-captioning-large")

file_name = st.file_uploader("")

if file_name is not None:
    col1, col2 = st.columns(2)

    image = Image.open(file_name)
    col1.image(image, use_column_width=True)
    st.write(pipeline(image))