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import streamlit as st | |
import numpy as np | |
import pandas as pd | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
import sklearn | |
# main page | |
custom_css = """ | |
<style> | |
html, body, [data-testid="stAppViewContainer"] { | |
background:url('https://images.pexels.com/photos/19670/pexels-photo.jpg?auto=compress&cs=tinysrgb&w=1260&h=750&dpr=2') no-repeat center center fixed; | |
background-size: cover; /* Cover the entire screen */ | |
font-family: Arial, sans-serif; | |
color: #333333; | |
} | |
</style>""" | |
# Apply custom CSS | |
st.markdown(custom_css, unsafe_allow_html=True) | |
st.markdown('<div style="text-align: center"><h1>AUTO ML</h1></div>', unsafe_allow_html=True) | |
st.header("about the app..") | |
st.write("This app is to predict the accuracy for various ML algorithms with respect to your data.") | |
st.write("***Give it a try , You will see MAGIC!!!***") | |
st.markdown('<div style="text-align: right"><b>Author:L Sai Sreeja</b></div>', unsafe_allow_html=True) |