Update app.py

app.py

@@ -6,7 +6,7 @@ import torch
 
 ##BLIP
 # Create the caption pipeline
-initial_caption = pipeline('image-to-text', model="Salesforce/blip-image-captioning-large")
+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"])
@@ -14,7 +14,7 @@ if uploaded_image is not None:
     image= Image.open(uploaded_image)
     st.image(image, caption="Uploaded Image", use_column_width=True)
 
-initial_caption = initial_caption(image)
+initial_caption = initial_caption_pipe(uploaded_image)
 initial_caption = initial_caption[0]['generated_text']
 
 ##CLIP