removed some unnecssary logs

app.py

@@ -77,7 +77,7 @@ async def chat_fn(user_input: str, history: dict, input_graph_state: dict, uuid:
         ordered properly. GraphProcessingState.messages is used as history instead
     """
     try:
-        logger.info(f"Prompt: {prompt}")
+        # logger.info(f"Prompt: {prompt}")
         input_graph_state["tools_enabled"] = {
             "download_website_text": download_website_text_enabled,
             "tavily_search_results_json": search_enabled,
@@ -402,7 +402,7 @@ def update_3d_models_on_load():
     """
     Gets the latest 3D model to display and updates the examples radio list on app load.
     """
-    print("\n🙎🙎 Displaying 3d model")
+    print("\n🍱🍱 Loading generated 3d models")
     sorted_files = get_sorted_3d_model_files()
     
     latest_model = str(sorted_files[0]) if sorted_files else None
@@ -498,7 +498,7 @@ def update_generated_image_on_state_change(state: dict):
 #     return gr.skip()
 
 def update_build_plan_display(state: dict):
-    print('\n📝Came to find build plan')
+    print('\n📝 Loading build plan')
     """
     Searches the message history for the build plan and updates the Markdown display.
     """
@@ -528,7 +528,7 @@ def update_build_plan_display(state: dict):
                     
                     print(f"📝 Found and displaying Build Plan.")
                     return gr.update(value=content) # Update the Markdown component
-    print('\n📝Oops, didnt find the build plan')
+    print('📝 Build plan is not generated yet')
 
     return gr.skip() # Return skip if no plan is found
 
@@ -620,7 +620,7 @@ function toggleSidebarVisibility() {
 """
 
 if __name__ == "__main__":
-    logger.info("Starting the interface")
+    logger.info("Loading Interface")
     with gr.Blocks(title="DIYO is here",fill_height=True, css=CSS, elem_id="main-app") as demo:
         is_new_user_for_greeting = gr.State(True)
         chatbot_message_storage = gr.State([])
@@ -1055,10 +1055,10 @@ if __name__ == "__main__":
                     existing_chat_history = []
                 updated_chat_history = [greeting_entry] + existing_chat_history
                 updated_is_new_user_flag = False
-                logger.info("Greeting added for new user via handle_initial_greeting_load.")
+                logger.info("starting new chat")
                 return updated_chat_history, updated_is_new_user_flag
             else:
-                logger.info("Not a new user or already greeted (handle_initial_greeting_load path).")
+                logger.info("loading existing chat")
                 return existing_chat_history, False
 
         @demo.load(inputs=[chatbot_message_storage], outputs=[chat_interface.chatbot_value])

graph.py

@@ -275,9 +275,6 @@ async def guidance_node(state: GraphProcessingState, config=None):
     
     # Identify completed and incomplete stages
     incomplete = [stage for stage in stage_order if not getattr(state, f"{stage}_complete", False)]
-
-    for item in incomplete:
-        print("stage item",item)
     
     # Determine the next stage
     if not incomplete:
@@ -327,7 +324,7 @@ def guidance_routing(state: GraphProcessingState) -> str:
     elif next_stage == "product_searching":
         return "END" 
     elif next_stage == "purchasing":
-        print('\n may day may day may day may day may day')  
+        print('\n Exit status 0 )')  
         
         print(f"Prompt: {state.prompt}")
         print(f"Prompt: {state.prompt}")
@@ -360,6 +357,7 @@ def guidance_routing(state: GraphProcessingState) -> str:
         return "END"    
     elif next_stage == "end":
         print('\n graph was forced to move to end because some error please  analyze the state')  
+        print('\n Exit status 1 )')
         for message in state.messages:
             print(f'\ncomplete message', message)
             if isinstance(message, HumanMessage):
@@ -535,7 +533,7 @@ async def brainstorming_node(state: GraphProcessingState, config=None):
         *openai_messages  # history you’ve already converted
     ]
 
-    print('open ai formatted', openai_messages_with_prompt[-1])
+    # print('open ai formatted', openai_messages_with_prompt[-1])
 
     for msg in openai_messages_with_prompt:
         print(msg)