Update app.py

app.py

@@ -1,16 +1,11 @@
 from transformers import pipeline
 import gradio as gr
 from PIL import Image
-
-# Load the image captioning pipeline
 pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
-
 def generate_caption(image):
     # Generate a caption for the image
     captions = pipe(image)
     return captions[0]['generated_text']
-
-# Create a Gradio interface for image captioning
 demo = gr.Interface(
     fn=generate_caption,
     inputs=gr.Image(type="pil", label="Upload an Image"),
@@ -18,7 +13,5 @@ demo = gr.Interface(
     title="Image Caption Generator",
     description="Upload an image to generate a caption using the BLIP model."
 )
-
-# Launch the Gradio interface
 if __name__ == "__main__":
     demo.launch(share=True)