src/langgraphagenticai/main.py

import streamlit as st
from langgraphagenticai.ui.streamlitui.loadui4 import LoadStreamlitUI
from langgraphagenticai.LLMS.groqllm import GroqLLM
from langgraphagenticai.graph.graph_builder import GraphBuilder
from langgraphagenticai.ui.streamlitui.display_result import DisplayResultStreamlit

def load_langgraph_agenticai_app():
    """
    This function launches and manages the LangGraph AgenticAI application with a Streamlit user interface. 
    It initializes the UI, collects user input, configures the selected LLM model, 
    and sets up the agentic graph workflow based on the chosen use case. Throughout execution, 
    it displays results interactively and incorporates robust exception handling to ensure reliability and a smooth user experience.

    """

    ##Load UI
    ui=LoadStreamlitUI()
    user_input=ui.load_streamlit_ui()

    if not user_input:
        st.error("Error: Failed to load user input from the UI.")
        return
    
    # Text input for user message
    if st.session_state.IsFetchButtonClicked:
        user_message = st.session_state.timeframe 
    else :
        user_message = st.chat_input("Enter your message:")
    
    if user_message:
        try:
            ## Configure The LLM's
            obj_llm_config=GroqLLM(user_contols_input=user_input)
            model=obj_llm_config.get_llm_model()

            if not model:
                st.error("Error: LLM model could not be initialized")
                return
            
            # Initialize and set up the graph based on use case
            usecase=user_input.get("selected_usecase")

            if not usecase:
                    st.error("Error: No use case selected.")
                    return
            
            ## Graph Builder

            graph_builder=GraphBuilder(model)
            try:
                 graph=graph_builder.setup_graph(usecase)
                 print(user_message)
                 DisplayResultStreamlit(usecase,graph,user_message).display_result_on_ui()
            except Exception as e:
                 st.error(f"Error: Graph set up failed- {e}")
                 return

        except Exception as e:
             st.error(f"Error: Graph set up failed- {e}")
             return