Update app.py

app.py

@@ -2,8 +2,12 @@ import gradio as gr
 from transformers import ViTImageProcessor, ViTForImageClassification
 from PIL import Image
 import requests
-url = 'https://potatorolls.com/wp-content/uploads/2020/10/Basic-Hot-Dogs-960x640.jpg'
-hotdog_image = Image.open(requests.get(url, stream=True).raw)
+hotdog_url = 'https://potatorolls.com/wp-content/uploads/2020/10/Basic-Hot-Dogs-960x640.jpg'
+hotdog_image = Image.open(requests.get(hotdog_url, stream=True).raw)
+muffin_url = "https://www.recipetineats.com/wp-content/uploads/2023/05/Up-and-go-breakfast-muffins_9.jpg"
+muffin_image = Image.open(requests.get(muffin_url, stream=True).raw)
+juice_url = "https://recipes.net/wp-content/uploads/2024/01/how-to-drink-fresh-juice-1705739043.jpg"
+juice_image = Image.open(requests.get(juice_url, stream=True).raw)
 
 def snacks_classifier(input_image):
 
@@ -21,6 +25,6 @@ def snacks_classifier(input_image):
 
 with gr.Blocks(theme=gr.themes.Base()) as demo:
     gr.Interface(fn=snacks_classifier, inputs="image", outputs=gr.Label(num_top_classes=20, label="Prediction"),
-                 examples=[hotdog_image])
+                 examples=[hotdog_image, muffin_image, juice_image])
 
 demo.launch()