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import streamlit as st
import pandas as pd
from ydata_profiling import ProfileReport
st.set_page_config(page_title="Dynamic Data Profiling", layout="wide", page_icon="📊")
st.title("Dynamic Data Profiling with ydata-profiling")
st.write("Upload your CSV file and get a complete interactive profiling report!")
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)
# Convert report to HTML
report_html = profile.to_html()
# Show the report in an iframe
st.components.v1.html(report_html, height=1200, scrolling=True)
# Provide a download button for the HTML
st.write("### Download the Profiling Report")
# Convert HTML string to bytes
report_bytes = report_html.encode('utf-8')
st.download_button(
label="Download HTML",
data=report_bytes,
file_name="profiling_report.html",
mime="text/html"
)
except Exception as e:
st.error(f"An error occurred: {e}")
else:
st.info("Awaiting CSV file upload.")
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