Create app.py

app.py

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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)