We need to deploy the app for production. Here, we choose to deploy the app to Vercel to use its free serverless functions hosting service. Create therequirements.txtusingpipreqs: pipreqs. Structure the app as
This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app....
onerror = function(){ console.log("error"); alert("failed"); } xhr.send(); } The web barcode scanner is implemented. We can deploy it to a platform like Vercel for production usage.Build a Zapier IntegrationGo to developer.zapier.com and let’s build a new integration with Platform ...
The repository you just cloned has a simple Flask application with a single endpoint defined in app/app.py that returns the text “Hello, Chaos!”. It contains a Dockerfile with instructions to build an image for the application and a k8s-configs folder with a simple service and file to ...
To automate the deployment process, set up a CircleCI pipeline that builds and deploys your Chrome Extension. Create a new file in your repository called.circleci/config.yml. Paste this content into it: version:2.1jobs:build:docker:-image:cimg/base:stablesteps:-checkout-run:name:InstallDepende...