Update app.py

app.py

@@ -1,33 +1,3 @@
-# import streamlit as st
-# from transformers import pipeline
-
-# # Initialize the image captioning pipeline
-# captioner = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
-
-# # Streamlit app title
-# st.title("Image to Text Captioning")
-
-# # Input for image URL
-# image_url = st.text_input("Enter the URL of the image:")
-
-# # If an image URL is provided
-# if image_url:
-#     try:
-#         # Display the image
-#         st.image(image_url, caption="Provided Image", use_column_width=True)
-        
-#         # Generate the caption
-#         caption = captioner(image_url)
-        
-#         # Display the caption
-#         st.write("**Generated Caption:**")
-#         st.write(caption[0]['generated_text'])
-#     except Exception as e:
-#         st.error(f"An error occurred: {e}")
-
-# # To run this app, save this code to a file (e.g., `app.py`) and run `streamlit run app.py` in your terminal.
-
-
 import streamlit as st
 import torch
 import requests