| 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)) |