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| 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("π€ Innomatics Data Science Chat Bot") | |
| st.markdown("### π 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("π *Ready to explore? Pick a domain to get started!*") | |
| # Grid of subject buttons | |
| subjects = [ | |
| ("π Python", "pages/python.py"), | |
| ("π§ Machine Learning", "pages/machine_learning.py"), | |
| ("πΈοΈ Deep Learning", "pages/Deep_Learning.py"), | |
| ("π Statistics", "pages/Statistics.py"), | |
| ("β¨ GenAI", "pages/GenAI.py"), | |
| ("π’οΈ 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("π§ *Letβs unravel every concept together β your questions fuel the journey!*") | |
| st.markdown('</div>', unsafe_allow_html=True) | |