Update app.py

app.py

@@ -266,25 +266,26 @@ input[type="radio"]:checked::after {
                 refine_button = gr.Button("Refine Prompt")  
                 
                 # Option 1: Put Examples here (before Meta Prompt explanation)
-                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", "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.Accordion("Meta Prompt explanation", open=False):
-                    gr.Markdown(explanation_markdown)
+                    with gr.Accordion("Meta Prompt explanation", open=False):
+                        gr.Markdown(explanation_markdown)
                 
 
                 
@@ -348,23 +349,7 @@ input[type="radio"]:checked::after {
                 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)