Using pandas profiling with streamlit_pandas_profiling component in Streamlit

pandas_profiler.py

import streamlit as st
import pandas_profiling
from streamlit_pandas_profiling import st_profile_report
import pandas as pd

st.set_page_config(
    page_title='Data Profiler',
    layout='wide',
    page_icon='🔍'
)

state = st.session_state
if 'profile_report' not in state:
    state['profile_report'] = None

def generate_profile_report(data_file, delimiter, minimal):
    file_info = {"Filename": data_file.name, "FileType": data_file.type, "FileSize": data_file.size}
    st.write(file_info)

    df = pd.read_csv(data_file, sep=delimiter, engine="python")
    pr = df.profile_report(lazy=True, minimal=minimal)

    state.profile_report = {'data': df, 'pr': pr}

def file_handler():
    seperators = {" ": " ", "pipe (|)": "|", r"tab (\t)": "\t", "comma (,)":",", "semicolon (;)":";"}
    file_upload_form = st.form(key="file_upload")
    with file_upload_form:
        data_file = st.file_uploader("Upload CSV File", type=['csv'], key="upload")
        delimiter = seperators[st.selectbox("Select delimiter", seperators.keys(), key="delims")]
        minimal = st.checkbox('Minimal report', value=True)
        if file_upload_form.form_submit_button(label='Submit') and data_file:
            generate_profile_report(data_file, delimiter, minimal)

    if (data_file and delimiter and state.profile_report):
        data = st.session_state.profile_report['data']
        pr = st.session_state.profile_report['pr']
        col = st.selectbox("Select column for summary stats", options=['']+list(data.columns))
        if col != '':
            st.write(pd.DataFrame(data[col].unique(), columns=[col]).T)
        st_profile_report(pr)
    else:
        st.info('Please upload a CSV data file, select a delimiter and hit submit.')
        state.profile_report = None

if __name__ =="__main__":
    file_handler()

Demo