Category : plotly-dash

I have run docker (below) which has installed with some data science tools docker run -d -p 8888:8080 –name "myworkspace" –shm-size 512m –cpus=2 –memory=4g mltooling/ml-workspace:0.13.2 then I run my dashboard dashapp.py inside the container terminal : if __name__ == ‘__main__’: app.run_server(debug=True, port=6066) then, the output give this IP address to access the dashboard –> http://127.0.0.1:6066/ ..

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I am trying to teach myself how to deploy a dash application on AWS. I have created a folder ‘DashboardImage’ on my mac that contains a Dockerfile, README.md, requirements.txt and an app folder that contains my python dash app ‘dashboard.py’. My Dockerfile looks like this: I go into the DashboardImage folder and run docker built ..

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I am running a flask app inside docker on Mac. VSCode automatically generates the necessary port forwarding on the fly. However when I connect to the flask server on the url localhost: (server is started with app.run_server(host=None, debug=True, port=myport)), I receive the following errors: Server side: code 400, message Bad HTTP/0.9 request type Browser debug ..

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I’m deploying Dash app on Shinyproxy using information from these posts: https://support.openanalytics.eu/t/what-is-the-best-way-of-delivering-static-assets-to-the-client-for-custom-apps/363 https://lukesingham.com/how-to-deploy-plotlys-dash-using-shinyproxy/ Nevertheless, I get some errors when static assets should be delivered: When I am running dash app in docker container everything is ok. There is not errors in the website and static assets are delivered. My files: app.py import dash import dash_core_components ..

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