This guide builds on other guides such as Jamie Phillips’ ⧉. Step 2: Deploy your Application to Google Cloud Platform This is the most likely file to corrupt a build. The entrypoint line must replicate what is at the end of main.py (the host and port numbers), as well as what you call the python script (here main.py = main). Here we are limiting the instances to 2, on a machine with 1 CPU and 1 GB of RAM. The basic_scaling and resources blocks tell App Engine what the environment should be. Yhe second line specifies that we want to build using python 3.7. The first line specifies the service name, which becomes the prefix of the URL the app will run on. This file tells GCP how to create the application. Service : default runtime : python37 basic_scaling : max_instances : 2 idle_timeout : 10 m resources : cpu : 1 memory_gb : 1 disk_size_gb : 10 entrypoint : gunicorn - b 0.0. This is the core of the Dash application. This contains the Dash setup values, including the /assets folder. This section just contains free text to append to the Dash app. This section loads the csv file from the /data folder, creates a pandas dataframe and then applies the add and multiply number functions. The first two are self-explinatory, the last just creates an image banner based on a file in the assets folder. This section has three functions: add numbers, multiply numbers and build banner. The full script can be found at the bottom of this post. The main.py python script comprises the following, which are split into sections below. requirements.txt comprises the packages needed to run the Dash app (important: gunicorn is required in this file at the bare minimum).app.yaml is used to run the Dash app on GCP using gunicorn ⧉, which is needed for GCP.gitignore for GitHub, it tells GCP what not to upload (for example here, I don’t want to upload all the screenshots used in this guide) Visit our GitHub repository ⧉ to view all the files. See the Version control section at the bottom of the post for changes. Note: This blog has been updated since it was first posted. For more information, visit the GitHub repository. This guide has been created to help users deploy a dash application using Google Cloud Platform (GCP) App Engine, using a locally-stored file.
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