Launch a Dash app in a Google Colab Notebook
To my knowledge there is currently no straightforward way to do this.
Find below a workaround that is similar to setting up Tensorboard (https://www.dlology.com/blog/quick-guide-to-run-tensorboard-in-google-colab/).
Start with a code cell that sets up all things required for this workaround:
# How to run a Dash app in Google Colab
## Requirements
### Install ngrok
!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip
!unzip ngrok-stable-linux-amd64.zip
### Run ngrok to tunnel Dash app port 8050 to the outside world.
### This command runs in the background.
get_ipython().system_raw('./ngrok http 8050 &')
### Get the public URL where you can access the Dash app. Copy this URL.
! curl -s http://localhost:4040/api/tunnels | python3 -c \
"import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])"
### Install Dash
!pip install dash==0.31.1 # The core dash backend
!pip install dash-html-components==0.13.2 # HTML components
!pip install dash-core-components==0.39.0 # Supercharged components
!pip install dash-table==3.1.7 # Interactive DataTable component (new!)
Add another code cell with your Dash app:
## Dash app (https://dash.plot.ly/getting-started)
### Save file with Dash app on the Google Colab machine
%%writefile my_app1.py
import dash
import dash_core_components as dcc
import dash_html_components as html
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.layout = html.Div(children=[
html.H1(children='Hello Dash'),
html.Div(children='''
Dash: A web application framework for Python.
'''),
dcc.Graph(
id='example-graph',
figure={
'data': [
{'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': 'SF'},
{'x': [1, 2, 3], 'y': [2, 4, 5], 'type': 'bar', 'name': u'Montréal'},
],
'layout': {
'title': 'Dash Data Visualization'
}
}
)
])
if __name__ == '__main__':
app.run_server(debug=True)
In a last code cell you can then start your Dash app (this cell will be busy until you stop the exection and thus, stop your Dash app).
### Run Dash app
!python my_app1.py
To access the Dash app copy & paste the ngrok.io-URL above to a new brower tab (NOT 127.0.0.1:8050) and wait a few seconds.
JupyterDash (the official library for running Dash in notebooks) now has support for running apps on Colab.
You can paste this code inside a colab notebook, and your app will show up inline:
!pip install jupyter-dash
import plotly.express as px
from jupyter_dash import JupyterDash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
# Load Data
df = px.data.tips()
# Build App
app = JupyterDash(__name__)
app.layout = html.Div([
html.H1("JupyterDash Demo"),
dcc.Graph(id='graph'),
html.Label([
"colorscale",
dcc.Dropdown(
id='colorscale-dropdown', clearable=False,
value='plasma', options=[
{'label': c, 'value': c}
for c in px.colors.named_colorscales()
])
]),
])
# Define callback to update graph
@app.callback(
Output('graph', 'figure'),
[Input("colorscale-dropdown", "value")]
)
def update_figure(colorscale):
return px.scatter(
df, x="total_bill", y="tip", color="size",
color_continuous_scale=colorscale,
render_mode="webgl", title="Tips"
)
# Run app and display result inline in the notebook
app.run_server(mode='inline')
Here's a GIF of what the output looks like. You can also check out this Colab notebook.
Here's some more useful links:
- v0.3.0 Release note
- JupyterDash Announcement
- Official Repository
- Demo apps using Hugging Face's transformers in Colab
Thank you. Guys, if xhlulu's suggestion doesn't run as expected you can edit the last row like this:
app.run_server(mode='inline',host="0.0.0.0",port=1005)