Update app.py

app.py

@@ -167,23 +167,7 @@ class GradioInterface:
                 )               
                 with gr.Accordion("Meta Prompt explanation", open=False):
                     gr.Markdown(explanation_markdown)
-                with gr.Column(elem_classes=["container", "examples-container"]):
-                    with gr.Accordion("Examples", open=False):
-                        gr.Examples(
-                            examples=[
-                                ["Write a story on the end of prompt engineering replaced by an Ai specialized in refining prompts.", "star"],
-                                ["Tell me about that guy who invented the light bulb", "physics"],
-                                ["Explain the universe.", "star"],
-                                ["What's the population of New York City and how tall is the Empire State Building and who was the first mayor?", "morphosis"],
-                                ["List American presidents.", "verse"],                        
-                                ["Explain why the experiment failed.", "morphosis"],
-                                ["Is nuclear energy good?", "verse"],
-                                ["How does a computer work?", "phor"],
-                                ["How to make money fast?", "done"],
-                                ["how can you prove IT0's lemma in stochastic calculus ?", "arpe"],                    
-                            ],
-                            inputs=[prompt_text, meta_prompt_choice]
-                        )
+
                 
             with gr.Column(elem_classes=["container", "analysis-container"]):
                 gr.Markdown("### Initial prompt analysis")
@@ -238,7 +222,23 @@ class GradioInterface:
                 inputs=[prompt_text, refined_prompt, apply_model],
                 outputs=[original_output, refined_output]
             )
-
+            with gr.Column(elem_classes=["container", "examples-container"]):
+                with gr.Accordion("Examples", open=False):
+                    gr.Examples(
+                        examples=[
+                            ["Write a story on the end of prompt engineering replaced by an Ai specialized in refining prompts.", "star"],
+                            ["Tell me about that guy who invented the light bulb", "physics"],
+                            ["Explain the universe.", "star"],
+                            ["What's the population of New York City and how tall is the Empire State Building and who was the first mayor?", "morphosis"],
+                            ["List American presidents.", "verse"],                        
+                            ["Explain why the experiment failed.", "morphosis"],
+                            ["Is nuclear energy good?", "verse"],
+                            ["How does a computer work?", "phor"],
+                            ["How to make money fast?", "done"],
+                            ["how can you prove IT0's lemma in stochastic calculus ?", "arpe"],                    
+                        ],
+                        inputs=[prompt_text, meta_prompt_choice]
+                    )
     def refine_prompt(self, prompt: str, meta_prompt_choice: str) -> tuple:
         input_data = PromptInput(text=prompt, meta_prompt_choice=meta_prompt_choice)
         result = self.prompt_refiner.refine_prompt(input_data)