added streamlit ui & llm model

.idea/.gitignore

@@ -0,0 +1,3 @@
+# Default ignored files
+/shelf/
+/workspace.xml

.idea/inspectionProfiles/profiles_settings.xml

@@ -0,0 +1,6 @@
+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/langgraph-agentic-e2e.iml

@@ -0,0 +1,15 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="jdk" jdkName="$MODULE_DIR$/.venv" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+  <component name="PyDocumentationSettings">
+    <option name="format" value="NUMPY" />
+    <option name="myDocStringFormat" value="NumPy" />
+  </component>
+  <component name="TestRunnerService">
+    <option name="PROJECT_TEST_RUNNER" value="py.test" />
+  </component>
+</module>

.idea/misc.xml

@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Black">
+    <option name="sdkName" value="$PROJECT_DIR$/.venv" />
+  </component>
+  <component name="ProjectRootManager" version="2" project-jdk-name="$PROJECT_DIR$/.venv" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/langgraph-agentic-e2e.iml" filepath="$PROJECT_DIR$/.idea/langgraph-agentic-e2e.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

app.py

@@ -0,0 +1,5 @@
+from src.langgraphagenticai.main import load_langgraph_agenticai_app
+
+
+if __name__ == "__main__":
+    load_langgraph_agenticai_app()

src/langgraphagenticai/llms/groq_llm.py

@@ -0,0 +1,23 @@
+import os
+import streamlit as st
+from langchain_groq import ChatGroq
+
+
+class GroqChatLLM:
+    def __init__(self, user_controls_input):
+        self.user_controls_input = user_controls_input
+
+    def get_llm_model(self):
+        try:
+            groq_api_key = self.user_controls_input['GROQ_API_KEY']
+            selected_groq_model = self.user_controls_input['selected_groq_model']
+            if groq_api_key == '' and os.environ["GROQ_API_KEY"]:
+                st.error("Please Enter the Groq API KEY")
+
+            llm = ChatGroq(api_key=groq_api_key, model=selected_groq_model)
+
+        except Exception as e:
+            raise ValueError(f"Error occurred with exception: {e}")
+
+        return llm
+        

src/langgraphagenticai/main.py

@@ -0,0 +1,52 @@
+import streamlit as st 
+import json
+
+from src.langgraphagenticai.ui.streamlit.load_ui import LoadStreamlitUI
+from src.langgraphagenticai.llms.groq_llm import GroqChatLLM
+
+# 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.IsFetchButtonClick:
+        user_message = st.session_state.timeframe
+    else:
+        user_message = st.chat_input("Enter your message")
+
+    if user_message:
+        try:
+            # Configure LLM
+            obj_llm_config = GroqChatLLM(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)
+
+        except Exception as e:
+            raise ValueError(f"Error Occurred with Exception: {e}")
+
+    print(user_input)

src/langgraphagenticai/ui/streamlit/load_ui.py

@@ -9,4 +9,60 @@ from src.langgraphagenticai.ui.uiconfigfile import Config
 class LoadStreamlitUI:
     def __init__(self):
         self.config = Config() # config
-        self.user_controls = {}
+        self.user_controls = {}
+
+    def initialize_session(self):
+        return {
+            "current_step": "requirements",
+            "requirements": "",
+            "user_stories": "",
+            "po_feedback": "",
+            "generated_code": "",
+            "review_feedback": "",
+            "decision": None
+        }
+
+    def load_streamlit_ui(self):
+        
+        # set page config
+        st.set_page_config(page_title=self.config.get_page_title(), layout="wide")
+        st.header(self.config.get_page_title())
+        st.session_state.timeframe = ''
+        st.session_state.IsFetchButtonClick = False
+        st.session_state.IsSDLC = False 
+
+
+        # Sidebar content
+        with st.sidebar:
+            st.header("Configuration")
+
+            # LLM selection
+            llm_options = self.config.get_llm_options()
+            selected_llm = st.selectbox("Select LLM", llm_options)
+            self.user_controls["selected_llm"] = selected_llm
+
+            if self.user_controls["selected_llm"] == 'Groq':
+                
+                # Model selection
+                groq_model_options = self.config.get_groq_model_options()
+                self.user_controls["selected_groq_model"] = st.selectbox("Select Model", groq_model_options)
+
+                # API key input
+                self.user_controls["GROQ_API_KEY"] = st.session_state["GROQ_API_KEY"] = st.text_input("API Key", type="password")
+
+                # Validate API key
+                if not self.user_controls["GROQ_API_KEY"]:
+                    st.warning("Please enter your GROQ API key to proceed. Don't have? refer: https://console.groq.com/keys")
+
+            # Use case selection
+            usecase_options = self.config.get_usecase_options()
+            selected_usecase = st.selectbox("Select Use Case", usecase_options)
+            self.user_controls["selected_usecase"] = selected_usecase
+
+            if "state" not in st.session_state:
+                st.session_state.state = self.initialize_session()
+
+
+        return self.user_controls
+
+

src/langgraphagenticai/ui/uiconfigfile.ini

@@ -1,5 +1,5 @@
 [DEFAULT]
 PAGE_TITLE = LangGraph: Build Stateful Agentic AI graph 
-LLM_OPTIONS = Groq
-USECASE_OPTIONS = Basic Chatbot
+LLM_OPTIONS = Groq, OPENAI
+USECASE_OPTIONS = Basic Chatbot, Voice Analyzer
 GROQ_MODEL_OPTIONS = mixtral-8x7b-32768, llama3-8b-8192, gemma-7b-i

src/langgraphagenticai/ui/uiconfigfile.py

@@ -17,4 +17,4 @@ class Config:
         return self.config["DEFAULT"].get("GROQ_MODEL_OPTIONS").split(",")
 
     def get_page_title(self):
-        return self.config["DEFAULT"].get("PAGE_TITLE").split(",") 
+        return self.config["DEFAULT"].get("PAGE_TITLE")