added main file

src/langgraphagenticai/main.py

@@ -0,0 +1,59 @@
+import streamlit as st
+import json
+from src.langgraphagenticai.ui.streamlitui.loadui import LoadStreamlitUI
+from src.langgraphagenticai.LLMS.groqllm import GroqLLM
+from src.langgraphagenticai.graph.graph_builder import GraphBuilder
+from src.langgraphagenticai.ui.streamlitui.display_result import DisplayResultStreamlit
+
+# MAIN Function START
+def load_langgraph_agenticai_app():
+    """
+    Loads and runs the LangGraph AgenticAI application with Streamlit UI.
+    This function initializes the UI, handles user input, configures the LLM model,
+    sets up the graph based on the selected use case, and displays the output while 
+    implementing exception handling for robustness.
+    """
+   
+    # 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 LLM
+                obj_llm_config = GroqLLM(user_controls_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)
+                    DisplayResultStreamlit(usecase,graph,user_message).display_result_on_ui()
+                except Exception as e:
+                    st.error(f"Error: Graph setup failed - {e}")
+                    return
+                
+
+            except Exception as e:
+                 raise ValueError(f"Error Occurred with Exception : {e}")