update

app.py

@@ -54,6 +54,12 @@ import utils
 from Waifu2x.magnify import ImageMagnifier
 from RealESRGANv030.interface import realEsrgan
 
+# Pillow resampling constant compatibility
+try:
+    RESAMPLE_LANCZOS = Image.Resampling.LANCZOS  # Pillow >=9.1.0
+except AttributeError:  # Pillow <9.1.0 fallback
+    RESAMPLE_LANCZOS = getattr(Image, "LANCZOS", Image.BICUBIC)
+
 sys.path.append(os.path.dirname(__file__))  # Ensure current directory is in path
 os.environ["PYTHONPATH"] = os.path.dirname(__file__)
 
@@ -62,7 +68,7 @@ APP_TITLE = "🎨 Super Resolution Anime Diffusion"
 APP_DESCRIPTION = """
 Generate high-quality anime images with automatic super resolution enhancement.
 Combines Stable Diffusion models with advanced upscaling techniques (RealESRGAN & Waifu2x).
-**Due to resource constraints, you may need to run this on a local machine or a cloud instance with GPU support.**
+[Duplicte](https://huggingface.co/spaces/yangheng95/SuperResolutionAnimeDiffusion/duplicate) this Space to run locally for full functionality and performance.
 """
 
 CONTRIBUTION_INFO = """
@@ -401,6 +407,9 @@ def txt_to_img(
     # Add model prefix
     full_prompt = f"{current_model.prefix}, {prompt}" if current_model.prefix else prompt
 
+    if pipe is None:
+        raise RuntimeError("Model pipeline not initialized. Please re-launch or check model loading.")
+
     result = pipe(
         full_prompt,
         negative_prompt=neg_prompt,
@@ -465,11 +474,14 @@ def img_to_img(
         progress(0.3, desc="Processing input image...")
 
     ratio = min(height / img.height, width / img.width)
-    img = img.resize((int(img.width * ratio), int(img.height * ratio)), Image.LANCZOS)
+    img = img.resize((int(img.width * ratio), int(img.height * ratio)), RESAMPLE_LANCZOS)
 
     # Add model prefix
     full_prompt = f"{current_model.prefix}, {prompt}" if current_model.prefix else prompt
 
+    if pipe is None:
+        raise RuntimeError("Model pipeline not initialized. Please re-launch or check model loading.")
+
     if progress:
         progress(0.4, desc="Transforming image...")
 
@@ -510,7 +522,12 @@ def load_example_images() -> List[str]:
             example_images.append(f_img)
     return example_images[:12]  # Limit examples
 
-# Custom CSS for styling
+# Professional user advisory (displayed prominently)
+USAGE_ADVISORY = (
+    "<div class='usage-advisory'>For full functionality and improved performance, duplicate this Space or clone the repository and run it locally (preferably with a GPU-enabled environment). This ensures unrestricted execution, optimal inference speed, and persistent storage of generated outputs.</div>"
+)
+
+# Custom CSS for styling (base block)
 custom_css = """
 .gradio-container {
 	font-family: 'Segoe UI', system-ui, -apple-system, sans-serif;
@@ -519,13 +536,26 @@ custom_css = """
 	background: #f8fafc;
 }
 
+.usage-advisory {
+    text-align: center;
+    background: #fff7ed;
+    color: #7c2d12;
+    padding: 0.85rem 1rem;
+    border-radius: 10px;
+    margin: 0 0 1.25rem 0;
+    border: 1px solid #fdba74;
+    font-size: 0.95rem;
+    line-height: 1.35rem;
+    box-shadow: 0 2px 6px rgba(0,0,0,0.04);
+}
+
 .header-section {
 	text-align: center;
 	background: #ffffff;
 	color: #111827;
 	padding: 1.75rem;
 	border-radius: 14px;
-	margin-bottom: 1.5rem;
+	margin-bottom: 1.0rem;
 	border: 1px solid #e5e7eb;
 	box-shadow: 0 4px 16px rgba(17,24,39,0.06);
 }
@@ -571,13 +601,16 @@ def create_interface():
 
     with gr.Blocks(title=APP_TITLE, css=custom_css) as demo:
 
-        # Header
+        # Header + Advisory
         with gr.Row():
             gr.HTML(f"""
-            <div class="header-section">
-                <h1 style="font-size: 2.25rem; margin-bottom: 0.5rem;">{APP_TITLE}</h1>
-                <p style="font-size: 1.05rem; margin-bottom: 0.75rem; color:#374151;">{APP_DESCRIPTION}</p>
-                <div style="font-size: 0.95rem; color:#6b7280;">{get_system_info()}</div>
+            <div style='width:100%'>
+                {USAGE_ADVISORY}
+                <div class="header-section">
+                    <h1 style="font-size: 2.25rem; margin-bottom: 0.5rem;">{APP_TITLE}</h1>
+                    <p style="font-size: 1.05rem; margin-bottom: 0.75rem; color:#374151;">{APP_DESCRIPTION}</p>
+                    <div style="font-size: 0.95rem; color:#6b7280;">{get_system_info()}</div>
+                </div>
             </div>
             """)
 
@@ -590,8 +623,20 @@ def create_interface():
             with gr.Column():
                 gr.Markdown(CONTRIBUTION_INFO, elem_classes=["info-card"])
 
-        # Main interface
+        # Tabs (Gallery first so it is the default visible page)
         with gr.Tabs():
+            # Gallery Tab (default)
+            with gr.TabItem("🖼️ Gallery"):
+                gr.Markdown("### Generated Images")
+                with gr.Row():
+                    refresh_gallery_btn = gr.Button("Refresh Gallery", variant="secondary")
+                example_gallery = gr.Gallery(
+                    value=load_example_images(),
+                    label="Results Gallery",
+                    show_label=False,
+                    columns=4,
+                    height="auto"
+                )
 
             # Text-to-Image Tab
             with gr.TabItem("🎨 Text-to-Image"):
@@ -749,22 +794,11 @@ def create_interface():
                         output_image_img2img = gr.Image(label="Transformed Image", type="pil")
                         output_info_img2img = gr.Markdown("Upload an image to transform! 🖼️")
 
-            # Gallery Tab
-            with gr.TabItem("🖼️ Gallery"):
-                gr.Markdown("### 🎨 Generated Images")
-
-                with gr.Row():
-                    refresh_gallery_btn = gr.Button("🔄 Refresh Gallery", variant="secondary")
-
-                example_gallery = gr.Gallery(
-                    value=load_example_images(),
-                    label="Results Gallery",
-                    show_label=False,
-                    columns=4,
-                    height="auto"
-                )
-
-        # Event handlers
+        # Event handlers (retain existing logic, ensure gallery refresh binding retained)
+        refresh_gallery_btn.click(
+            fn=load_example_images,
+            outputs=[example_gallery]
+        )
 
         # Model changes
         model_dropdown.change(
@@ -835,12 +869,6 @@ def create_interface():
             outputs=[output_image_img2img, output_info_img2img]
         )
 
-        # Gallery refresh
-        refresh_gallery_btn.click(
-            fn=load_example_images,
-            outputs=[example_gallery]
-        )
-
     return demo
 
 if __name__ == "__main__":