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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)
# 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 Welcome to your personalized learning companion!")
# st.markdown("This smart assistant helps you navigate your doubts in Data Science and related fields.")
st.markdown("## π Select the domain:")
# 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/gen_ai.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§ *Empowering your journey through every concept, one question at a time.*")
st.markdown('</div>', unsafe_allow_html=True)
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