Delete app.py

app.py

@@ -1,59 +0,0 @@
-import streamlit as st
-import requests
-import uuid
-
-# 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.title("Hey, I'm your Real-estate AI Agent. Let's Chat!")
-
-    # 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)
-
-if __name__ == "__main__":
-    main()