app.py

import streamlit as st
import random
import time
from streamlit.components.v1 import html

# Set page config with light purple theme
st.set_page_config(
    page_title="Emotion Mirror Chatbot",
    page_icon="😊",
    layout="centered",
    initial_sidebar_state="collapsed"
)

# Custom CSS for light purple theme
st.markdown("""
<style>
:root {
    --primary: #b19cd9;
    --background: #f5f0ff;
    --secondary-background: #e6e0fa;
    --text: #4a4a4a;
    --font: "Arial", sans-serif;
}

body {
    background-color: var(--background);
    color: var(--text);
    font-family: var(--font);
}

.stTextInput>div>div>input {
    background-color: var(--secondary-background) !important;
    color: var(--text) !important;
}

.stButton>button {
    background-color: var(--primary) !important;
    color: white !important;
    border: none;
    border-radius: 8px;
    padding: 8px 16px;
}

.stMarkdown {
    font-family: monospace !important;
    font-size: 16px !important;
}

.chat-message {
    padding: 12px;
    border-radius: 12px;
    margin: 8px 0;
    max-width: 80%;
}

.user-message {
    background-color: var(--secondary-background);
    margin-left: auto;
    text-align: right;
}

.bot-message {
    background-color: var(--primary);
    color: white;
    margin-right: auto;
}

.face-container {
    text-align: center;
    padding: 20px;
    background: white;
    border-radius: 16px;
    box-shadow: 0 4px 12px rgba(0,0,0,0.1);
    margin: 20px 0;
}
</style>
""", unsafe_allow_html=True)

# Emotion databases
POSITIVE_WORDS = {"happy", "awesome", "great", "joy", "excited", "good", "wonderful", "fantastic", "amazing"}
NEGATIVE_WORDS = {"sad", "depressed", "angry", "cry", "lonely", "bad", "terrible", "awful", "miserable"}
HELP_RESPONSES = [
    "Would you like to talk about it? 💬",
    "I'm here to listen 💙",
    "Want some uplifting quotes? 📜",
    "Would a virtual hug help? 🤗",
    "Let's focus on something positive 🌈"
]

# ASCII Art Library
FACES = {
    "happy": r"""
  ╔════════╗
  😄 AWESOME!  
  ╚════════╝
    """,
    "sad": r"""
  ╔════════╗
  😢 SAD DAY?  
  ╚════════╝
    """,
    "neutral": r"""
  ╔════════╗
  😐 HELLO   
  ╚════════╝
    """,
    "love": r"""
  ╔════════╗
  😍 LOVELY!  
  ╚════════╝
    """
}

# Confetti effect using JavaScript
def confetti_effect():
    confetti_js = """
    <script src="https://cdn.jsdelivr.net/npm/canvas-confetti@1.5.1/dist/confetti.browser.min.js"></script>
    <script>
    const count = 200;
    const defaults = {
        origin: { y: 0.7 }
    };

    function fire(particleRatio, opts) {
        confetti(Object.assign({}, defaults, opts, {
            particleCount: Math.floor(count * particleRatio)
        }));
    }

    fire(0.25, { spread: 26, startVelocity: 55 });
    fire(0.2, { spread: 60 });
    fire(0.35, { spread: 100, decay: 0.91, scalar: 0.8 });
    fire(0.1, { spread: 120, startVelocity: 25, decay: 0.92, scalar: 1.2 });
    fire(0.1, { spread: 120, startVelocity: 45 });
    </script>
    """
    html(confetti_js)

# Emotion detection function
def detect_emotion(text):
    text = text.lower()
    if any(word in text for word in POSITIVE_WORDS):
        return "happy"
    elif any(word in text for word in NEGATIVE_WORDS):
        return "sad"
    elif "love" in text or "heart" in text:
        return "love"
    return "neutral"

# Initialize chat history
if "messages" not in st.session_state:
    st.session_state.messages = []
    st.session_state.current_emotion = "neutral"

# Title and description
st.title("✨ Emotion Mirror Chatbot")
st.markdown("I'm a reactive AI agent that mirrors your emotions! Try words like *happy*, *sad*, or *awesome*")

# Display current face
with st.container():
    st.markdown(f"<div class='face-container'>\n{FACES[st.session_state.current_emotion]}\n</div>", 
                unsafe_allow_html=True)

# Display chat messages
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(f"<div class='chat-message {message['role']}-message'>{message['content']}</div>", 
                    unsafe_allow_html=True)

# User input
if prompt := st.chat_input("How are you feeling today?"):
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": prompt})
    
    # Detect emotion
    emotion = detect_emotion(prompt)
    st.session_state.current_emotion = emotion
    
    # Generate bot response
    if emotion == "happy":
        response = FACES["happy"] + "\n\n🌟 That's wonderful to hear!"
        confetti_effect()
    elif emotion == "sad":
        response = FACES["sad"] + "\n\n" + random.choice(HELP_RESPONSES)
    elif emotion == "love":
        response = FACES["love"] + "\n\n💖 Love is in the air!"
    else:
        response = FACES["neutral"] + "\n\nTell me more about your feelings..."
    
    # Add bot response to chat history
    st.session_state.messages.append({"role": "bot", "content": response})
    
    # Rerun to update the display
    st.experimental_rerun()

# Add reset button
if st.button("Reset Conversation"):
    st.session_state.messages = []
    st.session_state.current_emotion = "neutral"
    st.experimental_rerun()