Update app.py

app.py

@@ -114,17 +114,11 @@ MODELS = {
 }
 
 # --- Efficient Model Loading and Caching ---
-# Global dictionary to hold models that are already loaded in GPU memory.
 LOADED_MODELS_CACHE = {}
 
 def get_upscaler(model_name: str):
-    """
-    Loads a model if it's not already in the cache, and moves it to the GPU.
-    Returns the cached model.
-    """
     if model_name not in LOADED_MODELS_CACHE:
         print(f"Loading model: {model_name}")
-        # Load the model and immediately move it to the GPU.
         LOADED_MODELS_CACHE[model_name] = UpscaleWithModel.from_pretrained(
             MODELS[model_name]
         ).to("cuda")
@@ -133,40 +127,29 @@ def get_upscaler(model_name: str):
 # --- Core Upscaling Function ---
 @spaces.GPU
 def upscale_image(image, model_selection: str, progress=gr.Progress(track_tqdm=True)):
-    """
-    Main function to perform the upscaling. It includes error handling.
-    """
     if image is None:
         raise gr.Error("No image uploaded. Please upload an image to upscale.")
 
     try:
         progress(0, desc="Loading image and model...")
         original = load_image(image)
-        
-        # Get the pre-loaded or newly loaded upscaler from the GPU cache.
         upscaler = get_upscaler(model_selection)
 
         progress(0.5, desc="Upscaling image... (this may take a moment)")
-        # Perform the upscaling on the GPU.
         upscaled_pil_image = upscaler(original, tiling=True, tile_width=1024, tile_height=1024)
 
         progress(0.9, desc="Saving result...")
-        # Save the result to a temporary PNG file for lossless download.
         with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as temp_file:
             upscaled_pil_image.save(temp_file.name, "PNG")
             output_filepath = temp_file.name
 
-        # Return both the images for the slider and the filepath for the download button.
         return (original, upscaled_pil_image), output_filepath
 
     except Exception as e:
-        # Print the full error to the console for debugging.
         print(f"An error occurred: {traceback.format_exc()}")
-        # Raise a user-friendly error in the Gradio UI.
         raise gr.Error(f"An error occurred during processing: {e}")
 
 def clear_outputs():
-    """Function to clear all output components."""
     return None, None
 
 # --- Gradio Interface Definition ---
@@ -178,8 +161,6 @@ Tiling is fixed at 1024x1024 for optimal performance. An <a href="https://huggin
 </div>
 """
 
-# Best practice for public Spaces: configure automatic cache cleaning.
-# This will run every hour and delete any temporary files older than one hour.
 with gr.Blocks(delete_cache=(3600, 3600)) as demo:
     gr.HTML(title)
     with gr.Row():
@@ -197,15 +178,23 @@ with gr.Blocks(delete_cache=(3600, 3600)) as demo:
                 interactive=False,
                 label="Compare Original vs. Upscaled",
                 show_label=True,
+                show_download_button=False 
             )
-            download_output = gr.File(label="Download Upscaled Image (Lossless PNG)")
+            
+            # --- THIS IS THE NEW ADDITION ---
+            # Add a descriptive note to guide the user about the preview vs. download quality.
+            gr.Markdown(
+                "<center><i>Note: The slider above shows a web-optimized preview. For the full-quality, lossless PNG, please use the download button below.</i></center>"
+            )
+            
+            download_output = gr.File(label="Download Full-Quality Upscaled Image (Lossless PNG)")
 
     # --- Event Handling ---
     run_button.click(
         fn=clear_outputs,
         inputs=None,
         outputs=[result_slider, download_output],
-        queue=False # Clearing should be instant, no need to queue.
+        queue=False 
     ).then(
         fn=upscale_image,
         inputs=[input_image, model_selection],
@@ -213,7 +202,6 @@ with gr.Blocks(delete_cache=(3600, 3600)) as demo:
     )
 
 # --- Pre-load the default model for a faster first-time user experience ---
-# This will happen once when the Space starts up.
 try:
     print("Pre-loading default model...")
     get_upscaler("4xNomosWebPhoto_RealPLKSR")
@@ -223,4 +211,6 @@ except Exception as e:
 
 # Queueing is essential for public-facing apps to handle concurrent users.
 demo.queue()
-demo.launch(share=False)
+demo.launch(share=False)```
+
+Now, the interface will have a clear, centered, and italicized note right between the image slider and the download button, perfectly guiding your users on how to get the best possible quality from your application.