import streamlit as st

# Set page configuration
st.set_page_config(page_title="Innomatics Data Science Chat Bot", layout="centered")

# Custom CSS styling
st.markdown("""
    <style>
    .main {
        background: linear-gradient(to right, #1e3c72, #2a5298);
        padding: 2rem;
        font-family: 'Segoe UI', sans-serif;
    }
    .stButton>button {
        background-color: rgba(255, 255, 255, 0.1);
        border: 2px solid #ffffff33;
        color: white;
        font-size: 16px;
        font-weight: bold;
        padding: 0.6em 1.2em;
        border-radius: 15px;
        margin-top: 10px;
        transition: all 0.3s ease;
        width: 100%;
    }
    .stButton>button:hover {
        background-color: rgba(255, 255, 255, 0.3);
        color: #000;
        border-color: white;
    }
    h1, h3, p {
        color: #ffffff;
        text-align: center;
    }
    hr {
        border: 1px solid #ffffff50;
        margin: 2em 0;
    }
    .glass-panel {
        background: rgba(255, 255, 255, 0.1);
        border-radius: 20px;
        padding: 2rem;
        box-shadow: 0 4px 30px rgba(0, 0, 0, 0.2);
        backdrop-filter: blur(5px);
    }
    </style>
""", unsafe_allow_html=True)
# st.set_page_config(page_title="Innomatics Data Science Chat Bot", layout="centered")
from streamlit_lottie import st_lottie
import requests

# Load Lottie animation from URL
def load_lottie_url(url):
    r = requests.get(url)
    if r.status_code != 200:
        return None
    return r.json()

# lottie_url = "https://lottie.host/1f0a9697-c698-4c89-8c10-3d505a5c99ca/kHiz6bHsZD.json"
lottie_url = "https://lottie.host/4c6e3055-9d9c-4de7-9c36-9e74a6e1b06f/jBvT9UGWvD.json"
    
lottie_animation = load_lottie_url(lottie_url)
# Glass Panel Wrapper
with st.container():
    # st.markdown('<div class="glass-panel">', unsafe_allow_html=True)

    st.title("🤖 Innomatics Data Science Chat Bot")
    st.markdown("### 👋 Hey there! Ready to level up with your smart learning buddy?")
    st.markdown("Your AI-powered companion is here to simplify your Data Science journey and tackle every doubt along the way!")

    st.markdown("🌟 *Ready to explore? Pick a domain to get started!*")


    # Grid of subject buttons
    subjects = [
        ("🐍 Python", "pages/python.py"),
        ("🧠 Machine Learning", "pages/machine_learning.py"),
        ("🕸️ Deep Learning", "pages/Deep_Learning.py"),
        ("📊 Statistics", "pages/Statistics.py"),
        ("✨ GenAI", "pages/GenAI.py"),
        ("🛢️ SQL", "pages/Sql.py")
    ]

    # Render buttons in a grid (3 per row)
    for i in range(0, len(subjects), 3):
        cols = st.columns([1, 1, 1])
        for j in range(3):
            if i + j < len(subjects):
                with cols[j]:
                    if st.button(subjects[i + j][0]):
                        st.switch_page(subjects[i + j][1])

    st.markdown("---")
    st.markdown("🧠 *Let’s unravel every concept together — your questions fuel the journey!*")
    st.markdown('</div>', unsafe_allow_html=True)