Update app.py

app.py

@@ -3,7 +3,7 @@ from transformers import pipeline
 from PIL import Image
 
 # Initialize the pipeline with the image captioning model
-caption_pipeline = pipeline("image-to-text", model="nlpconnect/vit-gpt2-image-captioning")
+caption_pipeline = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
 
 def generate_caption(image):
     # The image is received as a PIL Image, so no need for conversion