app.py

import streamlit as st
import streamlit.components.v1 as components
import networkx as nx
import matplotlib.pyplot as plt
from pyvis.network import Network
import got 
import numpy as np
import pandas as pd

st.title('Streamlit Visualization')
dataframe = pd.DataFrame(np.random.randn(10, 20),
  columns = ('col %d' % i
    for i in range(20)))
st.write(dataframe)



st.title('Pyvis VisJS DOTlang Legend')

Network(notebook=True)
# make Network show itself with repr_html

def net_repr_html(self):
  nodes, edges, height, width, options = self.get_network_data()
  html = self.template.render(height=height, width=width, nodes=nodes, edges=edges, options=options)
  return html

Network._repr_html_ = net_repr_html

st.sidebar.title('Choose your favorite Graph')
option=st.sidebar.selectbox('select graph',('Simple','Karate', 'GOT'))
physics=st.sidebar.checkbox('add physics interactivity?')
got.simple_func(physics)

if option=='Simple':
  HtmlFile = open("test.html", 'r', encoding='utf-8')
  source_code = HtmlFile.read() 
  components.html(source_code, height = 900,width=900)

got.got_func(physics)

if option=='GOT':
  HtmlFile = open("gameofthrones.html", 'r', encoding='utf-8')
  source_code = HtmlFile.read() 
  components.html(source_code, height = 1200,width=1000)

got.karate_func(physics)

if option=='Karate':
  HtmlFile = open("karate.html", 'r', encoding='utf-8')
  source_code = HtmlFile.read() 
  components.html(source_code, height = 1200,width=1000)