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import streamlit as st
def home():
st.markdown("""
<style>
.title {
color: purple;
font-size: 30px;
}
</style>
""", unsafe_allow_html=True)
# Load GIF image from a trusted source
gif_url = "https://articleft.com/wp-content/uploads/2023/06/040823_chatgpt_feat.gif"
st.image(gif_url, width=400) # Adjust width as needed
# Split markdown for separate rendering
intro_text = """
<h1 class="title">AI NANBAN</h1>
<p>AI Personalised Coach application for CBSE Classs using face recognition.</p>
"""
features_text = """
<h2>Features</h2>
<ul>
<li>Face detection and recognition of Students</li>
<li>Customised Quiz Generation for Students based on CBSE Class notes</li>
<li>Personalised Score tracking of students for progress tracking</li>
</ul>
<p>An Initiative by Koodapakkam school, Suggestions are Welcome to email id</p>
"""
st.markdown(intro_text, unsafe_allow_html=True)
st.markdown("""<h2>Introduction</h2>""", unsafe_allow_html=True)
st.markdown(features_text, unsafe_allow_html=True) |