Update app.py

app.py

@@ -2,6 +2,8 @@ import streamlit as st
 from transformers import CLIPProcessor, CLIPModel
 import torch
 from PIL import Image
+import requests
+from io import BytesIO
 
 st.title("Text to Image Generation with CLIP")
 
@@ -14,9 +16,10 @@ if st.button("Generate Image") and text:
     # Process text and get CLIP features for text
     text_features = clip_processor(text, return_tensors="pt", padding=True)
 
-    # Load an example image (replace this with your image loading logic)
-    example_image_path = "path/to/your/image.jpg"
-    example_image = Image.open(example_image_path)
+    # Load an example image from the web (replace this with your image loading logic)
+    example_image_url = "https://example.com/your-image.jpg"
+    example_image_response = requests.get(example_image_url)
+    example_image = Image.open(BytesIO(example_image_response.content))
 
     # Process image and get CLIP features for image
     image_features = clip_processor(images=example_image, return_tensors="pt", padding=True)