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import streamlit as st
def display_ai_insights():
"""Displays AI-Powered Insights and Data Cleaning Process."""
st.header("💡 AI-Powered Insights")
with st.expander("🧹 Data Cleaning Process", expanded=True):
if "insights" in st.session_state and "df" in st.session_state:
# Split insights into cleaning process and analysis
parts = st.session_state.insights.split("ANALYSIS INSIGHTS:")
# Show cleaning instructions
st.markdown(parts[0])
# Show interactive dataframe preview using st.session_state.df
st.subheader("Cleaned Data Sample")
st.dataframe(
st.session_state.df.head(), # Use the existing df state
use_container_width=True,
hide_index=True,
)
# Show analysis insights if present
if len(parts) > 1:
st.markdown("---")
st.markdown("#### Analysis Insights")
st.markdown(parts[1])
else:
st.warning("No insights generated yet. Upload and process a file first.")
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