import streamlit as st
import pandas as pd

# Set Streamlit theme
st.set_page_config(page_title="Power BI-like Dashboard", page_icon=":chart_with_upwards_trend:")

# Upload CSV file
uploaded_file = st.file_uploader("Choose a CSV file", type="csv")

# Custom CSS styles
custom_styles = """
    body {
        background-color: #f4f4f4;
    }
    .css-1k6zjxx {
        max-width: none;
    }
"""

# Apply custom CSS
st.markdown(f'<style>{custom_styles}</style>', unsafe_allow_html=True)

if uploaded_file is not None:
    # Read data from CSV
    df = pd.read_csv(uploaded_file)

    # Display raw data in compact layout
    st.subheader("Raw Data")
    st.dataframe(df, height=400)

    # Basic statistics in compact layout
    st.subheader("Basic Statistics")
    st.dataframe(df.describe(), height=200)

    # Select columns for analysis
    selected_columns = st.multiselect("Select columns for analysis", df.columns)

    if selected_columns:
        # Line chart in compact layout
        st.subheader("Line Chart")
        st.line_chart(df[selected_columns], use_container_width=True)

        # Bar chart in compact layout
        st.subheader("Bar Chart")
        st.bar_chart(df[selected_columns], use_container_width=True)

        # Area chart in compact layout
        st.subheader("Area Chart")
        st.area_chart(df[selected_columns], use_container_width=True)

        # Interactive table in compact layout
        st.subheader("Interactive Table")
        st.dataframe(df[selected_columns], height=400)