simplify process_example_pipeline to return the input example prompt directly

app.py

@@ -366,22 +366,8 @@ def image_to_3d(
         return None, f"Error generating 3D model: {str(e)}"
 
 
-# Create a combined function that handles the whole pipeline from example to image
-# This version gets the parameters from the UI components
-@spaces.GPU()
-def process_example_pipeline(example_prompt, system_prompt=DEFAULT_SYSTEM_PROMPT, progress=gr.Progress()):
-    # Step 1: Update status
-    progress(0, desc="Starting example processing")
-    
-    # Step 2: Refine the prompt
-    progress(0.1, desc="Refining prompt with Mistral")
-    refined, status = refine_prompt(example_prompt, system_prompt, progress)
-    
-    if not refined:
-        return "", "Failed to refine prompt: " + status
-    
-    # Return only the refined prompt and status - don't generate image
-    return refined, "Prompt refined successfully!"
+def process_example_pipeline(example_prompt):
+    return example_prompt
 
 def create_interface():
     # Preload models if needed
@@ -486,15 +472,10 @@ def create_interface():
 
             gr.Examples(
                 examples=examples,
-                # fn=process_example_pipeline,
-                fn=refine_prompt,
+                fn=process_example_pipeline,
                 inputs=[prompt],
-                outputs=[refined_prompt, message_box],
+                outputs=[prompt],
                 cache_examples=True,
-            ).then(
-                fn=generate_image,
-                inputs=[refined_prompt, flux_seed, flux_randomize_seed, width, height, num_inference_steps],
-                outputs=[generated_image, message_box]
             )
 
         gr.on(