Update app.py

app.py

@@ -11,7 +11,7 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 caption_image = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large", device=device)
 
 # List of local image paths
-example_images = ["image1.jpeg"]
+example_images = ["flower.jpg"]
 
 # Function to process the image
 def process_image(image):