added new guard railes

app.py

@@ -690,7 +690,7 @@ if __name__ == "__main__":
             )
         
         with gr.Row():
-            guidelines = gr.Textbox(lines=2, label="Readme",value="Just a heads-up! 💡 You can tell the agent to finalize the plan at the any stage of the process to immediately start generating model. 💡 It takes an average of 300 seconds to generate a 3d model. 💡 Click the logs button to view the progress. 💡 If the header component isnt visible on screen please resize your browser window twice.✨")
+            guidelines = gr.Textbox(lines=2, label="ℹ️Readmeℹ️",value="Just a heads-up! 💡 You can tell the agent to finalize the plan at the any stage of the process to immediately start generating model. 💡 It takes an average of 300 seconds to generate a 3d model. 💡 Click the logs button to view the progress. 💡 If the header component isnt visible on screen please resize your browser window twice. 💡New chat need to be started once a 3d model has been generated. ✨")
 
         with gr.Row():
             with gr.Column(scale=2):

graph.py

@@ -792,7 +792,7 @@ ACCURATE PROMPT FOR MODEL GENERATING: [Your final single-paragraph prompt here]
         # Check for finalization signalif "finalize_idea:" in content:
         if "ACCURATE PROMPT FOR MODEL GENERATING" in content:
             dalle_prompt_text = content.replace("ACCURATE PROMPT FOR MODEL GENERATING:", "").strip()
-            print(f"\n🤖🤖🤖🤖Extracted DALL-E prompt: {dalle_prompt_text}")
+            # print(f"\n🤖🤖🤖🤖Extracted DALL-E prompt: {dalle_prompt_text}")
 
             generated_image_url = None
             generated_3d_model_url = None # This will store the final 3D model URL
@@ -988,7 +988,7 @@ ACCURATE PROMPT FOR MODEL GENERATING: [Your final single-paragraph prompt here]
                     # e.g., "quality": "hd", "style": "vivid"
                 }
 
-                print(f"\n🤖🤖🤖🤖Calling DALL-E with prompt: {dalle_prompt_text}")
+                print(f"\n🤖🤖🤖🤖Generating image using DALL-E with this prompt: {dalle_prompt_text}")
                 async with aiohttp.ClientSession() as session:
                     try:
                         async with session.post(dalle_api_url, headers=dalle_headers, json=dalle_payload) as dalle_response:
@@ -1050,7 +1050,7 @@ async def generate_3d_node(state: GraphProcessingState, config=None):
     #     print("No image_url_for_3d found in state.")
     #     return {"messages": [AIMessage(content="No image URL found for 3D generation.")]}
 
-    print(f"Using generated image_url: {state.generated_image_url_from_dalle}")
+    # print(f"Using generated image_url: {state.generated_image_url_from_dalle}")
 
     # 2. Define API endpoint and parameters
     api_base_url = "https://wishwa-code--trellis-3d-model-generate.modal.run/"
@@ -1080,7 +1080,7 @@ async def generate_3d_node(state: GraphProcessingState, config=None):
         }
 
     # 3. Attempt generation with retries
-    print(f"Attempt { state.drawing_attempts} to call 3D generation API...")
+    print(f"\n 🧙🧙 Calling 3d moded generation API for the { state.drawing_attempts} time. Max attempts : {max_attempts}")
     try:
         # Note: The API call can take a long time (1.5 mins in your curl example)
         # Ensure your HTTP client timeout is sufficient.