UI code and folder structure

src/langgraph_agenticAI/UI/streamlitui/load_ui.py

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+import streamlit as st
+import os
+from datetime import date
+
+from langchain_core import AIMessage, HumanMessage   #because msg we are going to mention in UI is either AImsg or Humanmsg
+from src.langgraph_agenticAI.UI.uiconfigfile import Config    #Config is class
+class LoadStreamLitUI:
+    def __init__(self):
+        self.config=Config()    #for this cofig we created ini file i.e, uiconfig.ini (text file to store configs in form of key-value pairs) like yaml config. 
+        self.user_controls={}
+
+

src/langgraph_agenticAI/UI/uiconfigfile.ini

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+[DEFAULT]
+PAGE_TITLE= Langgraph: Build Stateful Agentic AI graph
+LLM_OPTIONS= Groq
+USECASE_OPTIONS= Basic Chatbot, Chatbot With Tool, Travel Partner, SDLC Workflow, AI News
+GROQ_MODEL_OPTIONS= mixtral-8x7b-32768, llama3-8b-8192, llama-70b-8192, gemma-7b-i  

src/langgraph_agenticAI/UI/uiconfigfile.py

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+from configparser import ConfigParser  #class to parse cofig text file
+
+class Config:    #inside any class, we start with constructor
+    def __init__(self,config_file="C:\Users\blues\OneDrive\Documents\E2E_Langraph_Project\src\langgraph_agenticAI\UI\uiconfigfile.ini"):
+        self.config=ConfigParser()   #initialize the constructor, config is public variable , use this configParser object will read the config file and store in config variable
+        self.config.read(config_file)
+
+        def get_llm_option(self):    #to only read llm field from config file
+            return self.config["DEFAULT"].get("LLM_OPTIONS").split(", ")   #DEFAULT is root note for all the below node hving access of everything written below
+        
+        def get_usecase_options(self):
+            return self.config["DEFAULT"].get("USECASE_OPTIONS").split(", ")
+
+        def get_groq_model_options(self):
+            return self.config["DEFAULT"].get("GROQ_MODEL_OPTIONS").split(", ")
+
+        def get_page_title(self):
+            return self.config["DEFAULT"].get("PAGE_TITLE")