app.py

import streamlit as st
import time
import requests
from streamlit.components.v1 import html
import os

# Import transformers and cache the help agent for performance
@st.cache_resource
def get_help_agent():
    from transformers import pipeline
    # Using BlenderBot 400M Distill as the public conversational model (used elsewhere)
    return pipeline("conversational", model="facebook/blenderbot-400M-distill")

# Enhanced Custom CSS for modern UI
def inject_custom_css():
    st.markdown("""
    <style>
        @import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap');
        
        * {
            font-family: 'Inter', sans-serif;
            margin: 0;
            padding: 0;
            box-sizing: border-box;
        }

        .title {
            font-size: 2.8rem !important;
            font-weight: 800 !important;
            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
            -webkit-background-clip: text;
            -webkit-text-fill-color: transparent;
            text-align: center;
            margin: 1rem 0;
            letter-spacing: -1px;
        }

        .subtitle {
            font-size: 1.1rem !important;
            text-align: center;
            color: #4a5568 !important;
            margin-bottom: 2.5rem;
            font-weight: 500;
        }

        .question-container {
            background: #f7fafc;
            border-radius: 20px;
            padding: 2rem;
            margin: 1.5rem 0;
            box-shadow: 0 10px 15px -3px rgba(0, 0, 0, 0.1), 0 4px 6px -2px rgba(0, 0, 0, 0.05);
            position: relative;
            border: 1px solid #e2e8f0;
        }

        .question-container::after {
            content: '';
            position: absolute;
            bottom: -10px;
            left: 40px;
            width: 0;
            height: 0;
            border-left: 12px solid transparent;
            border-right: 12px solid transparent;
            border-top: 12px solid #f7fafc;
        }

        .question-text {
            font-size: 1.25rem !important;
            color: #2d3748 !important;
            line-height: 1.6;
            margin-bottom: 0;
        }

        .input-box {
            background: white !important;
            border-radius: 12px !important;
            border: 2px solid #e2e8f0 !important;
            padding: 0.75rem 1rem !important;
            font-size: 1rem !important;
            transition: all 0.3s ease !important;
        }

        .input-box:focus {
            border-color: #667eea !important;
            box-shadow: 0 0 0 3px rgba(102, 126, 234, 0.2) !important;
        }

        .submit-btn {
            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
            color: white !important;
            border: none !important;
            padding: 0.75rem 2rem !important;
            border-radius: 10px !important;
            font-weight: 600 !important;
            transition: transform 0.2s ease !important;
        }

        .submit-btn:hover {
            transform: translateY(-2px);
            box-shadow: 0 5px 15px rgba(102, 126, 234, 0.3) !important;
        }

        .progress-bar {
            height: 8px;
            background: #e2e8f0;
            border-radius: 4px;
            margin: 1.5rem 0;
            overflow: hidden;
        }

        .progress-fill {
            height: 100%;
            background: linear-gradient(90deg, #667eea 0%, #764ba2 100%);
            transition: width 0.3s ease;
        }

        .final-reveal {
            animation: scaleUp 0.6s cubic-bezier(0.175, 0.885, 0.32, 1.275);
            font-size: 2.5rem;
            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
            -webkit-background-clip: text;
            -webkit-text-fill-color: transparent;
            text-align: center;
            margin: 2rem 0;
            font-weight: 800;
        }

        @keyframes scaleUp {
            from { transform: scale(0.8); opacity: 0; }
            to { transform: scale(1); opacity: 1; }
        }

        .help-chat {
            background: white;
            border-radius: 18px;
            padding: 1.5rem;
            box-shadow: 0 10px 15px -3px rgba(0, 0, 0, 0.1);
            border: 1px solid #e2e8f0;
        }

        .user-message {
            background: #667eea;
            color: white;
            border-radius: 12px 12px 0 12px;
            padding: 0.75rem 1rem;
            margin: 0.5rem 0;
            max-width: 80%;
            margin-left: auto;
        }

        .bot-message {
            background: #f7fafc;
            color: #2d3748;
            border-radius: 12px 12px 12px 0;
            padding: 0.75rem 1rem;
            margin: 0.5rem 0;
            max-width: 80%;
            border: 1px solid #e2e8f0;
        }

        .confidence-meter {
            height: 6px;
            background: #e2e8f0;
            border-radius: 3px;
            margin: 1rem 0;
            position: relative;
            overflow: hidden;
        }

        .confidence-fill {
            height: 100%;
            background: linear-gradient(90deg, #48bb78 0%, #38a169 100%);
            width: 75%;
            animation: confidenceAnim 1.5s ease-in-out;
        }

        @keyframes confidenceAnim {
            0% { width: 0; }
            100% { width: 75%; }
        }
    </style>
    """, unsafe_allow_html=True)

# Confetti animation (updated colors)
def show_confetti():
    html("""
    <canvas id="confetti-canvas" class="confetti"></canvas>
    <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/confetti.browser.min.js"></script>
    <script>
    const canvas = document.getElementById('confetti-canvas');
    const confetti = confetti.create(canvas, { resize: true });
    
    function particle(x, y) {
        confetti({
            particleCount: 1,
            angle: 270,
            spread: 100,
            startVelocity: 25,
            origin: { x: x, y: y },
            colors: ['#667eea', '#764ba2', '#48bb78']
        });
    }
    
    for(let i=0; i<50; i++) {
        setTimeout(() => {
            particle(Math.random(), Math.random());
        }, i*50);
    }
    
    setTimeout(() => { canvas.remove(); }, 5000);
    </script>
    """)

# Rest of the original functions remain unchanged (ask_llama, ask_help_agent, etc.)

# Main game logic with updated UI elements
def main():
    inject_custom_css()

    st.markdown('<div class="title">KASOTI</div>', unsafe_allow_html=True)
    st.markdown('<div class="subtitle">AI-Powered Guessing Game Challenge</div>', unsafe_allow_html=True)

    if 'game_state' not in st.session_state:
        st.session_state.game_state = "start"
        st.session_state.questions = []
        st.session_state.current_q = 0
        st.session_state.answers = []
        st.session_state.conversation_history = []
        st.session_state.category = None
        st.session_state.final_guess = None
        st.session_state.help_conversation = []

    # Start screen with enhanced layout
    if st.session_state.game_state == "start":
        st.markdown("""
        <div class="question-container">
            <h3 style="color: #2d3748; margin-bottom: 1.5rem;">Welcome to <span style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent;">KASOTI</span> 🎯</h3>
            <p style="color: #4a5568; line-height: 1.6;">Think of something and I'll try to guess it in 20 questions or less!<br>
            Choose from these categories:</p>
            <div style="margin: 1.5rem 0;">
                <div style="background: #f0f4f8; padding: 1rem; border-radius: 12px; margin: 0.5rem 0;">
                    <strong>👤 Person</strong><br>
                    <span style="color: #718096;">Celebrity, fictional character, historical figure</span>
                </div>
                <div style="background: #f0f4f8; padding: 1rem; border-radius: 12px; margin: 0.5rem 0;">
                    <strong>🌍 Place</strong><br>
                    <span style="color: #718096;">City, country, landmark, geographical location</span>
                </div>
                <div style="background: #f0f4f8; padding: 1rem; border-radius: 12px; margin: 0.5rem 0;">
                    <strong>📦 Object</strong><br>
                    <span style="color: #718096;">Everyday item, tool, vehicle, etc.</span>
                </div>
            </div>
        </div>
        """, unsafe_allow_html=True)

        with st.form("start_form"):
            category_input = st.text_input("Enter category (person/place/object):", 
                                          key="start_input").strip().lower()
            if st.form_submit_button("Start Game", use_container_width=True):
                if not category_input:
                    st.error("Please enter a category!")
                elif category_input not in ["person", "place", "object"]:
                    st.error("Please enter either 'person', 'place', or 'object'!")
                else:
                    st.session_state.category = category_input
                    first_question = ask_llama([
                        {"role": "user", "content": "Ask your first strategic yes/no question."}
                    ], category_input)
                    st.session_state.questions = [first_question]
                    st.session_state.conversation_history = [
                        {"role": "assistant", "content": first_question}
                    ]
                    st.session_state.game_state = "gameplay"
                    st.experimental_rerun()

    # Gameplay screen with enhanced UI
    elif st.session_state.game_state == "gameplay":
        # Add progress bar
        progress = (st.session_state.current_q + 1) / 20
        st.markdown(f"""
        <div class="progress-bar">
            <div class="progress-fill" style="width: {progress * 100}%"></div>
        </div>
        <div style="text-align: center; color: #4a5568; margin-bottom: 1.5rem;">
            Question {st.session_state.current_q + 1} of 20
        </div>
        """, unsafe_allow_html=True)

        current_question = st.session_state.questions[st.session_state.current_q]

        if "Final Guess:" in current_question:
            st.session_state.final_guess = current_question.split("Final Guess:")[1].strip()
            st.session_state.game_state = "confirm_guess"
            st.experimental_rerun()

        st.markdown(f"""
        <div class="question-container">
            <div class="question-text">{current_question}</div>
        </div>
        """, unsafe_allow_html=True)

        # Add confidence meter animation
        st.markdown("""
        <div class="confidence-meter">
            <div class="confidence-fill"></div>
        </div>
        <div style="text-align: right; color: #718096; font-size: 0.9rem;">
            AI Confidence Level: 75%
        </div>
        """, unsafe_allow_html=True)

        with st.form("answer_form"):
            answer_input = st.text_input("Your answer (yes/no/both):", 
                                       key=f"answer_{st.session_state.current_q}",
                                       placeholder="Type your answer here...").strip().lower()
            if st.form_submit_button("Submit Answer", use_container_width=True):
                # Original answer handling logic remains unchanged

    # Rest of the original game logic remains unchanged (confirm_guess, result states)

    # Updated help section UI
    with st.expander("💬 Need Help? Ask the AI Assistant", expanded=False):
        st.markdown('<div class="help-chat">', unsafe_allow_html=True)
        help_query = st.text_input("Type your question:", key="help_query", 
                                 placeholder="How should I answer this?")
        if st.button("Send", use_container_width=True, key="send_help"):
            # Original help logic remains unchanged
        if st.session_state.help_conversation:
            for msg in st.session_state.help_conversation:
                st.markdown(f'<div class="user-message">{msg["query"]}</div>', unsafe_allow_html=True)
                st.markdown(f'<div class="bot-message">{msg["response"]}</div>', unsafe_allow_html=True)
        st.markdown('</div>', unsafe_allow_html=True)

if __name__ == "__main__":
    main()