Using celery framework with AI models (Documentation)
As far as we know celery uses pool executor to run worker. The executor can be events, threads or processes and the developer can choose one of them based on the workflow. In this repository I tried to explain some kinds of situations in which I try to solve the issue in a proper way.
- python==3.8.1
- requirements.txt
- Redis Server
There is two main file to execute, celery_app.py and client_request.py, to run the server the celery_app.py must be executed with the following command:
python celery_app.py
and to run the client_request.py in order to send the request to the server the below line must be executed:
python client_request.py <number of requests (int)>
In each tag/version a specific workflow is designed. See more details on releases page.