Update app.py

app.py

@@ -204,29 +204,9 @@ with gr.Blocks(title="BERT Sentiment Analyzer", theme=gr.themes.Soft()) as demo:
             with gr.Row():
                 analyze_btn = gr.Button("🔍 Analyze", variant="primary", size="lg")
                 clear_btn = gr.Button("🗑️ Clear", size="sm")
-            
-            gr.Markdown("### 💡 Examples:")
-            gr.Examples(
-                examples=[
-                    ["This product is absolutely amazing! Best purchase ever!"],
-                    ["I love this so much! Outstanding quality!"],
-                    ["Excellent customer service and fast delivery!"],
-                    ["This is terrible! Worst product ever!"],
-                    ["Completely disappointed. Poor quality."],
-                    ["Awful experience. Would never buy again!"],
-                    ["The product is okay. Nothing special but works."],
-                    ["It's decent. Good value but could be better."],
-                    ["This is not bad at all"],
-                    ["Pretty good"],
-                ],
-                inputs=text_input,
-                outputs=[result_output, confidence_plot, predicted_class, status_display],
-                fn=analyze_sentiment,
-                cache_examples=False
-            )
         
         with gr.Column(scale=2):
-            gr.Markdown("### 📊 Results")
+            gr.Markdown("### � Results")
             
             result_output = gr.Markdown("*Enter text to see results*")
             
@@ -241,6 +221,27 @@ with gr.Blocks(title="BERT Sentiment Analyzer", theme=gr.themes.Soft()) as demo:
             predicted_class = gr.Textbox(label="Prediction", interactive=False)
             status_display = gr.Textbox(label="Status", interactive=False, value="Ready")
     
+    # Examples - must be after outputs are defined
+    with gr.Row():
+        gr.Examples(
+            examples=[
+                ["This product is absolutely amazing! Best purchase ever!"],
+                ["I love this so much! Outstanding quality!"],
+                ["Excellent customer service and fast delivery!"],
+                ["This is terrible! Worst product ever!"],
+                ["Completely disappointed. Poor quality."],
+                ["Awful experience. Would never buy again!"],
+                ["The product is okay. Nothing special but works."],
+                ["It's decent. Good value but could be better."],
+                ["This is not bad at all"],
+                ["Pretty good"],
+            ],
+            inputs=text_input,
+            outputs=[result_output, confidence_plot, predicted_class, status_display],
+            fn=analyze_sentiment,
+            cache_examples=False
+        )
+    
     with gr.Accordion("ℹ️ Model Info", open=False):
         gr.Markdown("""
         ### 🧠 Model