a-poor/flask-celery-ml
Handling long-running processes (like ML model predictions) inside a Flask app using Celery.
This helps data scientists or machine learning engineers integrate long-running machine learning model predictions into web applications. You input data through a web interface, and the system processes it in the background, eventually displaying the prediction results on the same page. It's designed for applications where immediate prediction isn't feasible and users can wait a moment for results.
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Use this if you need to serve machine learning model predictions or other time-consuming computations through a web application without making the user wait indefinitely for a response.
Not ideal if your predictions or tasks are extremely fast and can be computed instantly without noticeable delay.
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Last pushed
Jan 13, 2021
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