Update app.py

app.py

@@ -2,7 +2,6 @@ import gradio as gr
 from PIL import ImageFilter, Image
 from transformers import AutoModelForZeroShotImageClassification, AutoProcessor
 import torch
-import requests
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
@@ -68,11 +67,10 @@ def classify_image(image, candidate_labels):
 
 # Default values
 default_labels = "human with beverage,human,beverage"
-default_image_url = "F50tIRvbsAAKHzW.jpeg"
+default_image_path = "F50tIRvbsAAKHzW.jpeg"
 
-# Download default image
-response = requests.get(default_image_url)
-default_image = Image.open(BytesIO(response.content))
+# Load default image
+default_image = Image.open(default_image_path)
 
 iface = gr.Interface(
     fn=classify_image,