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import streamlit as st | |
from transformers import pipeline | |
from PIL import Image | |
import torch | |
##BLIP | |
# Create the caption pipeline | |
initial_caption_pipe = pipeline('image-to-text', model="Salesforce/blip-image-captioning-large") | |
# Display the image using Streamlit | |
uploaded_image = st.file_uploader("Upload an image", type=["png", "jpg", "jpeg"]) | |
if uploaded_image is not None: | |
image= Image.open(uploaded_image) | |
st.image(image, caption="Uploaded Image", use_column_width=True) |