[martin-dev] fix example 3; no cache for now

demo/launch_gradio.py

@@ -22,6 +22,16 @@ models_cache: Dict[str, Any] = {}
 current_model_selection: Optional[ModelSelection] = None
 
 
+def example1():
+    return "What is in this image? Describe in one word.", None, None
+
+def example2():
+    return "Describe the main object in the picture in one word.", None, None
+
+def example3():
+    return "What color is the dominant object? Describe in one word.", None, None
+
+
 def read_layer_spec(spec_file_path: str) -> List[str]:
     """Read available layers from the model spec file.
 
@@ -583,6 +593,15 @@ def create_demo() -> gr.Blocks:
                     lines=3
                 )
 
+                # GPU-safe interactive examples
+                gr.Markdown("### Example Prompts (Click to Insert)")
+                gr.Button("Example 1").click(fn=example1,
+                                            outputs=[instruction_input, image1_input, image2_input])
+                gr.Button("Example 2").click(fn=example2,
+                                            outputs=[instruction_input, image1_input, image2_input])
+                gr.Button("Example 3").click(fn=example3,
+                                            outputs=[instruction_input, image1_input, image2_input])
+
                 top_k_slider = gr.Slider(
                     minimum=1,
                     maximum=20,
@@ -625,23 +644,6 @@ def create_demo() -> gr.Blocks:
             outputs=[plot_output, info_output]
         )
 
-        # Custom interactive examples (safe for GPU Spaces)
-        gr.Markdown("### Example Prompts (Click to Insert)")
-
-        with gr.Row():
-            gr.Button("Example 1").click(
-                fn=lambda: ("What is in this image? Describe in one word.", None, None),
-                outputs=[instruction_input, image1_input, image2_input]
-            )
-            gr.Button("Example 2").click(
-                fn=lambda: ("Describe the main object in the picture in one word.", None, None),
-                outputs=[instruction_input, image1_input, image2_input]
-            )
-            gr.Button("Example 3").click(
-                fn=lambda: ("What color is the dominant object? Describe in one word.", None, None),
-                outputs=[instruction_input, image1_input, image2_input]
-            )
-
     return demo