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import streamlit as st | |
# Set page configuration | |
st.set_page_config(page_title="Innomatics Online Trainer Bot", layout="centered") | |
# Custom CSS styling | |
st.markdown(""" | |
<style> | |
.main { | |
background: linear-gradient(135deg, #430089 0%, #82ffa1 100%); | |
padding: 2rem; | |
font-family: 'Segoe UI', sans-serif; | |
} | |
.stButton>button { | |
background: #ffffff10; | |
border: 2px solid #ffffff50; | |
color: white; | |
font-size: 18px; | |
font-weight: 600; | |
padding: 0.8em 1.2em; | |
border-radius: 12px; | |
width: 100%; | |
transition: 0.3s ease; | |
box-shadow: 0 4px 10px rgba(0, 0, 0, 0.15); | |
} | |
.stButton>button:hover { | |
background: #ffffff30; | |
border-color: #fff; | |
color: #ffffff; | |
} | |
h1, h3, p { | |
color: #ffffff; | |
text-align: center; | |
} | |
hr { | |
border: 1px solid #ffffff50; | |
margin: 2em 0; | |
} | |
</style> | |
""", unsafe_allow_html=True) | |
# Header content | |
st.title("π€ Innomatics Online Trainer 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 Choose a module where you need help:") | |
# 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/gen_ai.py"), | |
("SQL", "pages/sql.py") | |
] | |
# Render buttons in a grid (3 per row) | |
for i in range(0, len(subjects), 2): | |
cols = st.columns(2) | |
for j in range(2): | |
if i + j < len(subjects): | |
with cols[j]: | |
if st.button(subjects[i + j][0]): | |
st.switch_page(subjects[i + j][1]) | |
# Footer note | |
st.markdown("---") | |
st.markdown("π§ *Empowering your journey through every concept, one question at a time.*") | |