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"
            )