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app.py

@@ -112,7 +112,7 @@ examples = [
     {
         "image": os.path.join("stimuli", "Confetti_illusion.png"),
         "name": "Confetti Illusion",
-        "wiki": "https://en.wikipedia.org/wiki/Optical_illusion",
+        "wiki": "https://www.youtube.com/watch?v=SvEiEi8O7QE",
         "papers": [
             "[Color Perception](https://doi.org/10.1016/j.visres.2000.200.1)",
             "[Context Effects](https://doi.org/10.1016/j.tics.2003.08.003)"
@@ -263,8 +263,8 @@ with gr.Blocks(title="Generative Inference Demo", css="""
     gr.Markdown("""
     **How to use this demo:**
     - **Load pre-configured examples**: Click on any visual illusion below and hit "Load Parameters" to automatically set up the optimal parameters for that illusion
-    - **Upload your own images**: Use the image upload area to test your own images with different parameter settings
-    - **Experiment with parameters**: Adjust the inference method, iterations, noise levels, and other parameters to see how they affect the generative inference process
+    - **Run the inference**: After loading parameters or setting your own, hit "Run Inference" to start the generative inference process
+    - **You can also upload your own images** and experiment with different parameters to see how they affect the generative inference process
     """)
     
     # Main processing interface
@@ -305,7 +305,7 @@ with gr.Blocks(title="Generative Inference Demo", css="""
                     label="Model Layer"
                 )
             
-            run_button = gr.Button("Run Inference", variant="primary", elem_classes="purple-button")
+            run_button = gr.Button("🪄 Run Inference", variant="primary", elem_classes="purple-button")
             
         with gr.Column(scale=2):
             # Outputs