src/streamlit_app.py

import streamlit as st
import requests
import uuid

# styling 
st.set_page_config(page_title="Real Estate AI 💬", page_icon="🤖", layout="centered")

# Custom CSS for beautification
st.markdown("""
    <style>
    body {
        background-color: #3486eb;
    }
    .stApp {
        background: linear-gradient(135deg, #43104a, #131469);
;
    }
    .main {
        padding: 2rem;
        border-radius: 15px;
        box-shadow: 0 4px 20px rgba(0, 0, 0, 0.1);
        background-color: white;
    }
    
    div[data-testid="stChatMessageAvatarAssistant"] {
        color: #a192fc;
        background: rgb(38, 39, 48);
    }
    
    div[data-testid="stChatMessageAvatarUser"] {
        color: #e492fc;
        background: rgb(38, 39, 48);
    }
    
    [data-testid="stChatMessage"][aria-label*="user"],
    [data-testid="stChatMessage"]:has([data-testid="stChatMessageAvatarUser"]) {
        background-color: rgb(38, 39, 48);
        color: black;
        margin-left: auto;
        text-align: right;
        border-radius: 18px 18px 0 18px;
        box-shadow: 0 2px 6px rgba(0,0,0,0.1);
    }

    [data-testid="stChatMessage"][aria-label*="assistant"],
    [data-testid="stChatMessage"]:has([data-testid="stChatMessageAvatarAssistant"]) {
        background-color: rgb(38, 39, 48);
        color: black;
        margin-right: auto;
        text-align: left;
        border-radius: 18px 18px 18px 0;
        box-shadow: 0 2px 6px rgba(0,0,0,0.1);
    }
    
    </style>
""", unsafe_allow_html=True)

# Constants
WEBHOOK_URL = "https://shahrukh1472.app.n8n.cloud/webhook/2f9e9f00-7ce8-485e-bd34-0df1014c4303"
BEARER_TOKEN = "TestCreds99"

def generate_session_id():
    return str(uuid.uuid4())

def send_message_to_llm(session_id, message):
    headers = {
        "Authorization": f"Bearer {BEARER_TOKEN}",
        "Content-Type": "application/json"
    }
    payload = {
        "sessionId": session_id,
        "chatInput": message
    }
    response = requests.post(WEBHOOK_URL, json=payload, headers=headers)
    if response.status_code == 200:
        return response.json()["output"]
    else:
        return f"Error: {response.status_code} - {response.text}"

def main():
        
    st.sidebar.title("🏠 Navigation")
    page = st.sidebar.radio("", ["Chatbot", "Information"])
        
    if page == "Chatbot":    
        
        st.title("Hey, I'm your Real-estate AI Agent. Let's Chat!")
        st.caption("Your smart assistant for finding the perfect property — faster, easier, smarter.")
        
        # Initialize session state
        if "messages" not in st.session_state:
            st.session_state.messages = []
        if "session_id" not in st.session_state:
            st.session_state.session_id = generate_session_id()

        # Display chat messages
        for message in st.session_state.messages:
            with st.chat_message(message["role"]):
                st.write(message["content"])

        # User input
        user_input = st.chat_input("Type your message here...")

        if user_input:
            # Add user message to chat history
            st.session_state.messages.append({"role": "user", "content": user_input})
            with st.chat_message("user"):
                st.write(user_input)

            # Get LLM response
            llm_response = send_message_to_llm(st.session_state.session_id, user_input)

            # Add LLM response to chat history
            st.session_state.messages.append({"role": "assistant", "content": llm_response})
            with st.chat_message("assistant"):
                st.write(llm_response)


    elif page == "Information":
        st.title("About the Real Estate Chatbot")
        st.markdown("""
        ### 🤖 **What This Chatbot Does**
        This AI chatbot helps you:
        - 🏘️ Find properties that match your preferences  
        - 💰 Compare price trends in different locations  
        - 📈 Analyze market growth and investment potential  
        - 🏠 Get instant answers to real estate queries  

        ### 🌐 **Future Additions**
        - Integration with live property listings  
        - Predictive price estimation  
        - Neighborhood insights and amenities  

        ---
        💬 *Switch to the Chatbot page from the sidebar to start talking!*
        """)
            
if __name__ == "__main__":
    main()