Update app.py

app.py

@@ -2,14 +2,11 @@ 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:
@@ -21,11 +18,23 @@ if uploaded_file is not None:
         # Generate the profile report
         with st.spinner("Generating profile report..."):
             profile = ProfileReport(df, title="Profiling Report", explorative=True)
-            # Get HTML representation of the report
+            # Convert report to HTML
             report_html = profile.to_html()
-        
-        # Display the report in an iframe
+
+        # 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: