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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() |