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app.py

@@ -171,6 +171,18 @@ with gr.Blocks(css=custom_css, title="Netra AI - Material Classifier") as demo:
                 """
             )
 
+            gr.Markdown("### 📷 Try Sample Images")
+            gr.Examples(
+                examples=[
+                    ["sanity_test_dataset/12mm_VSI_01.jpeg"],
+                    ["sanity_test_dataset/Reet_01_fine.jpeg"],
+                    ["sanity_test_dataset/Stone_01.jpeg"],
+                    ["sanity_test_dataset/GSB_01.jpeg"],
+                ],
+                inputs=image_input,
+                label=""
+            )
+
         with gr.Column(scale=1):
             result_output = gr.Markdown("", elem_id="result")
             confidence_output = gr.Markdown("", elem_id="confidence")
@@ -203,18 +215,6 @@ with gr.Blocks(css=custom_css, title="Netra AI - Material Classifier") as demo:
                 """
             )
 
-    # Example images
-    gr.Markdown("### 📷 Try These Sample Images")
-    gr.Examples(
-        examples=[
-            ["sanity_test_dataset/12mm_VSI_01.jpeg"],
-            ["sanity_test_dataset/Reet_01_fine.jpeg"],
-            ["sanity_test_dataset/Stone_01.jpeg"],
-            ["sanity_test_dataset/GSB_01.jpeg"],
-        ],
-        inputs=image_input,
-        label="Sample Materials"
-    )
 
     # Connect button
     classify_btn.click(