Spaces:
Sleeping
Sleeping
import streamlit as st | |
import requests | |
st.set_page_config(layout="wide") | |
st.write("### 🤖 Client Retention Model") | |
if "messages" not in st.session_state: | |
st.session_state["messages"] = [{"role": "assistant", "content": "How can I help you?"}] | |
with st.sidebar: | |
if st.button("New Chat"): | |
st.session_state["messages"] = [{"role": "assistant", "content": "How can I help you?"}] | |
# Display existing chat history | |
for msg in st.session_state.messages: | |
st.chat_message(msg["role"]).write(msg["content"]) | |
# Get user input and handle empty input | |
if prompt := st.chat_input("Enter your query"): | |
st.session_state.messages.append({"role": "user", "content": prompt}) | |
st.chat_message("user").write(prompt) | |
# Send user input to backend and get response | |
try: | |
response = requests.post("http://127.0.0.1:5000/chat", json={"prompt": prompt}) | |
response.raise_for_status() | |
msg = response.json().get("response", "Error: No response from backend.") | |
except requests.exceptions.RequestException as e: | |
msg = f"Error: {e}" | |
st.session_state.messages.append({"role": "assistant", "content": msg}) | |
st.chat_message("assistant").write(msg) | |