streamlit_colab_ngrok.py

# https://www.youtube.com/watch?v=MUD-pBOnvdo&t=8s&ab_channel=1littlecoder

#install streamlit, one time execution
!pip install streamlit

#import streamlit
import streamlit as st

# Commented out IPython magic to ensure Python compatibility.
# %%writefile app.py
# import numpy as np
# import streamlit as st
# import pandas as pd
# from sklearn import datasets
# from sklearn.ensemble import RandomForestClassifier
# 
# st.write(''' # Cervical Cancer Classification App''')

!pip install pyngrok
from pyngrok import ngrok
ngrok.set_auth_token("") #ngrok.com
!nohup streamlit run app.py --server.port 80 &
url = ngrok.connect(port = '80')
print(url)

# check which ports are connected
tunnels = ngrok.get_tunnels()
tunnels

## to kill the port connections
ngrok.kill()