pygwalker_app.py

import pygwalker as pyg
import streamlit.components.v1 as components
import pandas as pd
import streamlit as st

# Adjust the width of the Streamlit page
st.set_page_config(
    page_title="Use Pygwalker In Streamlit",
    layout="wide"
)

# Add Title
st.title("Use Pygwalker In Streamlit")

# Add subtitle
SUB_TITLE = """
<div>
    <span>Don't know how to use PyGWalker? Check out the </span>
    <a target="_blank" href="https://docs.kanaries.net/graphic-walker/create-data-viz">document</a>
    <span> for more details!</span>
</div>
<br/>
<div>
    <span>Reference: </span>
    <a target="_blank" href="https://docs.kanaries.net/pygwalker/use-pygwalker-with-streamlit.en">Exploring Data and Sharing Findings with Pygwalker and Streamlit</a>
</div>
"""
components.html(SUB_TITLE, height=80)

# Generate the HTML using Pygwalker
pyg_html = pyg.walk(pd.DataFrame(), return_html=True, hideDataSourceConfig=False)

# Embed the HTML into the Streamlit app
components.html(pyg_html, height=1000, scrolling=True)