app.py

import gradio as gr
import pygwalker as pyg
import pandas as pd
from datasets import load_dataset

# load dataset
dataset = load_dataset("gradio/NYC-Airbnb-Open-Data", split="train")
df = dataset.to_pandas()

with gr.Blocks() as demo:
    gr.Label("Visual Explore NYC-Airbnb data in PyGWalker and Gradio")
    gr.Markdown("This is a data app build with [pygwalker](https://docs.kanaries.net/pygwalker) and [gradio](https://www.gradio.app/) library. You can use drag-and-drop operations to explore the data, start your analysis now!")
    gr.HTML(pyg.walk(dataset=df, spec="./viz-config.json", debug=False, return_html=True))
    # gr.HTML(pyg.walk(dataset=df, debug=False, return_html=True))
    
demo.launch()