app.py

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

st.header('Image To Text')
model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
x = st.file_uploader("Upload Images", type=["png","jpg","jpeg"])
if x is not None:
    st.image(Image.open(x), width=250)
    i = Image.open(x)
    st.write(model(i))