Create app.py

app.py

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+import streamlit as st
+import numpy as np
+import pandas as pd
+from ydata_profiling import ProfileReport
+
+st.set_page_config(page_title='Automated Data Profiling')
+st.title('AUTOMATED DATA PROFILING')
+st.subheader('Upload your CSV file')
+uploaded_file = st.file_uploader('Choose a CSV file', type={"csv"})
+if uploaded_file is not None:
+    st.markdown('---')
+    @st.cache_data
+    def load_excel(file1):
+            df = pd.read_csv(file1, encoding='latin-1')
+            return df
+    df = load_excel(uploaded_file)
+    df = df.replace(np.nan,'',regex=True)
+    st.subheader('Data Preview')
+    st.dataframe(df.head(20))
+
+    profile = ProfileReport(df, title="Profiling Report")
+    profile.to_file("Profile_Report.html")
+
+    with open("Profile_Report.html", "rb") as file:
+        btn = st.download_button(
+                label="Download Profile Report",
+                data=file,
+                file_name="Profile_Report.html",
+                mime="html"
+            )
+
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+    
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