Update app.py from anycoder

app.py

@@ -1,10 +1,17 @@
 import os
+import sys
+
+# Install dependencies before importing
+os.system("pip install -q torch torchvision --upgrade")
+os.system("pip install -q facenet-pytorch")
+
 from huggingface_hub import hf_hub_download
 import spaces
-os.system("pip -qq install facenet_pytorch")
 from facenet_pytorch import MTCNN
 from torchvision import transforms
-import torch, PIL
+import torch
+import PIL
+from PIL import Image
 import gradio as gr
 
 # Download models
@@ -99,6 +106,10 @@ def process(im, version):
     if im is None:
         return None
     
+    # Ensure image is PIL Image
+    if not isinstance(im, Image.Image):
+        im = Image.fromarray(im)
+    
     # Scale image (CPU operation)
     im = scale_by_face_size(im, target_face=256, max_res=1_500_000, max_upscale=1)
     
@@ -207,6 +218,23 @@ custom_css = """
     font-weight: 600;
     margin-top: 0.5rem;
 }
+
+#anycoder-link {
+    text-align: center;
+    margin-top: 0.5rem;
+}
+
+#anycoder-link a {
+    color: #667eea;
+    text-decoration: none;
+    font-weight: 600;
+    font-size: 0.9rem;
+}
+
+#anycoder-link a:hover {
+    color: #764ba2;
+    text-decoration: underline;
+}
 """
 
 # Build the interface
@@ -263,7 +291,8 @@ with gr.Blocks() as demo:
                 buttons=["download", "share"]
             )
     
-    # Examples
+    # Examples section
+    gr.Markdown("### 🖼️ Try These Examples", elem_id="examples-header")
     with gr.Row():
         gr.Examples(
             examples=[
@@ -274,8 +303,8 @@ with gr.Blocks() as demo:
             inputs=[input_image, version_selector],
             outputs=output_image,
             fn=process,
-            cache_examples=True,
-            label="Try These Examples",
+            cache_examples=False,
+            label="Example Images",
             examples_per_page=3
         )