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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) |