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# import streamlit as st
# # Load CSS
# def load_css(file_name):
# with open(file_name) as f:
# st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
# load_css("style.css")
# # Your Streamlit chat input component
# with st.form("my_form"):
# text_input = st.text_input("Enter your message:")
# submit_button = st.form_submit_button("Send")
# import streamlit as st
# # Load CSS
# def load_css(file_name):
# with open(file_name) as f:
# st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
# load_css("style.css")
# # Create a container for the chat
# chat_container = st.container()
# with chat_container:
# with st.form("my_form"):
# text_input = st.text_input("Enter your message:")
# submit_button = st.form_submit_button("Send")
import streamlit as st
from streamlit_chat import message
# Initialize session state
if "history" not in st.session_state:
st.session_state.history = []
# Styling (adjust as needed)
st.markdown("""
<style>
.sender { background-color: #d1e8f6; align-self: flex-start; }
.receiver { background-color: #f0f0f0; align-self: flex-end; }
</style>
""", unsafe_allow_html=True)
def generate_response(input_message):
# Placeholder for now; you'll likely plug in an AI model here
return f"Echo: {input_message}"
def display_chat():
for i, chat in enumerate(st.session_state.history):
if chat['is_user']:
message(chat['message'], key=str(i) + "_user", is_user=True, avatar_style="sender")
else:
message(chat['message'], key=str(i) + "_bot", avatar_style="receiver")
# App Layout
st.title("Social Messenger Demo")
col1, col2 = st.columns(2)
with col1:
user_input = st.text_input("Enter your message", key="input")
if st.button("Send", key="send"):
st.session_state.history.append({"message": user_input, "is_user": True})
with col2:
if user_input:
response = generate_response(user_input)
st.session_state.history.append({"message": response, "is_user": False})
# Display the chat history
display_chat() |