Create app.py

app.py

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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.")