Untitled

import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt

# Load your CSV data
df = pd.read_csv("Book1.csv")

# Set a background image (you can change the URL)
page_bg_img = '''
<style>
[data-testid="stAppViewContainer"] {
background-image: url("
./download.jpeg
")}
[data-testid="stHeader"]{
background: lightblue;
}
</style>
'''
st.markdown(page_bg_img, unsafe_allow_html=True)
###################---------------------------------



# Add a title and subtitle
st.title("Simple Streamlit UI")
st.subheader("Explore your data")

# Display the data frame
st.write("Data Frame", df)

# Add some checkboxes to customize the view
st.sidebar.header("Customize View")
if st.sidebar.checkbox("Show Dataframe Summary"):
    st.write("Dataframe Summary", df.describe())

if st.sidebar.checkbox("Show Plot"):
    # Create a simple bar plot
    st.write("Bar Plot")
    plt.bar(df["Category"], df["Value"])
    plt.xlabel("Category")
    plt.ylabel("Value")
    st.pyplot()

# Add any additional elements or visualizations here