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import pandas as pd
import numpy as np
import gradio as gr
import pygwalker as pyg
from pygwalker.api.gradio import PYGWALKER_ROUTE, get_html_on_gradio
from data import df
from network import analysis
with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
# with gr.Tab("πŸ“ About"):
# # gr.Markdown(ABOUT_TEXT)
with gr.Row():
with gr.Column():
gr.Label("πŸ“Š Visually explore witches family data")
gr.Markdown("You can use drag-and-drop operations to explore the data, start your analysis now! In the given query, we see where the accused witches reside after filtering on the gender label (here, Female) and we show a breakdown of the class!")
pyg_app = get_html_on_gradio(df, spec="./config.json")
gr.HTML(pyg_app)
with gr.Row():
with gr.Column():
gr.Label("πŸ‘ͺ Visualize witches family connections")
gr.Markdown("You can see the various parent-child-sibling-spouse relationships of the accused witches!")
gr.HTML(analysis)
demo.launch(app_kwargs={"routes": [PYGWALKER_ROUTE]}, share=True).queue()