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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() | |