app.py

# streamlit_chatbot.py
import streamlit as st
import random
import time

st.set_page_config(page_title="Simple Chatbot", page_icon="🤖")

# --- Session State Init ---
if "messages" not in st.session_state:
    st.session_state.messages = []

# --- Helper Functions ---
def simple_bot_response(user_input: str) -> str:
    """Very basic rule-based reply."""
    user_input = user_input.lower()
    if "hello" in user_input or "hi" in user_input:
        return "Hi there! 👋 How can I help you?"
    elif "bye" in user_input or "goodbye" in user_input:
        return "Goodbye! Thanks for chatting."
    elif "name" in user_input:
        return "I'm a simple Streamlit bot—no name yet!"
    elif "time" in user_input:
        return f"The current time is {time.strftime('%H:%M:%S')}."
    else:
        replies = [
            "Interesting... tell me more.",
            "I see. Could you elaborate?",
            "Thanks for sharing!",
            "That's cool!",
            "Hmm, I'm not sure how to respond to that.",
        ]
        return random.choice(replies)

# --- UI ---
st.title("Simple Streamlit Chatbot 🤖")
st.caption("A tiny rule-based bot made with Streamlit")

# --- Display Chat History ---
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])

# --- User Input ---
if prompt := st.chat_input("Type your message..."):
    # 1. Save user message
    st.session_state.messages.append({"role": "user", "content": prompt})
    with st.chat_message("user"):
        st.markdown(prompt)

    # 2. Generate & save bot response
    response = simple_bot_response(prompt)
    # Optional: mimic streaming effect
    with st.chat_message("assistant"):
        message_placeholder = st.empty()
        full_response = ""
        for chunk in response.split():
            full_response += chunk + " "
            time.sleep(0.05)
            message_placeholder.markdown(full_response + "▌")
        message_placeholder.markdown(response)

    st.session_state.messages.append({"role": "assistant", "content": response})