import streamlit as st
import pandas as pd
from ydata_profiling import ProfileReport

# Set page config (must be the first Streamlit command)
st.set_page_config(page_title="Dynamic Data Profiling", layout="wide", page_icon="📊")

# App title
st.title("Dynamic Data Profiling with ydata-profiling")
st.write("Upload your CSV file and get a complete interactive profiling report!")

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

if uploaded_file is not None:
    try:
        # Read CSV into DataFrame
        df = pd.read_csv(uploaded_file)
        st.success("File uploaded successfully!")
        
        # Generate the profile report
        with st.spinner("Generating profile report..."):
            profile = ProfileReport(df, title="Profiling Report", explorative=True)
            # Get HTML representation of the report
            report_html = profile.to_html()
        
        # Display the report in an iframe
        st.components.v1.html(report_html, height=1200, scrolling=True)
    except Exception as e:
        st.error(f"An error occurred: {e}")
else:
    st.info("Awaiting CSV file upload.")