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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.")
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