Update app.py

app.py

@@ -247,19 +247,21 @@ class GradioApp:
                 # 🔬 Interstitial Cell of Cajal Detection and Quantification Tool
                 
                 Upload a microscopy image to automatically detect and count Interstitial Cells of Cajal (ICC).
-                Adjust the detection parameters below for optimal results.
                 """
             )
             
             with gr.Row():
                 # Left column - Input and controls
                 with gr.Column(scale=1):
-                    # Examples section BEFORE upload
-                    gr.Markdown("### 📋 Example Images")
+                    # Examples section - FIRST
+                    gr.Markdown("### 📋 Select an Example Image")
+                    
+                    # Create input_img component first (needed for Examples)
                     input_img = gr.Image(
-                        label="Input Image",
+                        label="",
                         type="numpy",
-                        interactive=True
+                        interactive=True,
+                        show_label=False
                     )
                     
                     example_root = os.path.dirname(__file__)
@@ -275,18 +277,19 @@ class GradioApp:
                             inputs=[input_img],
                         )
                     
+                    # Upload section - SECOND
                     gr.Markdown("### 📤 Or Upload Your Own Image")
                     
-                    # Detection parameters
-                    gr.Markdown("### ⚙️ Detection Parameters")
-                    confidence_slider = gr.Slider(
-                        minimum=0.01,
-                        maximum=1.0,
-                        value=0.1,
-                        step=0.01,
-                        label="Confidence Threshold",
-                        info="Minimum confidence for a detection"
-                    )
+                    # Detection parameters - COLLAPSIBLE
+                    with gr.Accordion("⚙️ Advanced Settings", open=False):
+                        confidence_slider = gr.Slider(
+                            minimum=0.01,
+                            maximum=1.0,
+                            value=0.1,
+                            step=0.01,
+                            label="Confidence Threshold",
+                            info="Minimum confidence for a detection"
+                        )
                     
                     # Action buttons
                     with gr.Row():