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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("https://celebaltech.com/assets/img/celebal.webp"); background-position: center center; background-repeat: no-repeat; background-attachment: fixed; background-size: fit; } [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