Comments (2)
rodart
commented on July 23, 2024
Hi! For running the model on production you could use gunicorn - https://github.com/lukalabs/cakechat#gunicorn-http-server
You can set multiple workers for gunicorn to process multiple requests - http://docs.gunicorn.org/en/stable/settings.html#workers
More info about serving flask application on production you can find here:
https://www.digitalocean.com/community/tutorials/how-to-serve-flask-applications-with-gunicorn-and-nginx-on-ubuntu-18-04
https://www.pyimagesearch.com/2018/02/05/deep-learning-production-keras-redis-flask-apache/
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dimeldo
commented on July 23, 2024
Great, thank you!
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Related Issues (20)
- Using the trained model HOT 5
- How to get only 1 sentence of answer? HOT 3
- Grammatically-correct response HOT 3
- ValueError: numpy.ufunc has the wrong size when launching Docker container HOT 4
- AttributeError: 'module' object has no attribute '_get_ndarray_c_version' HOT 7
- Syntax Error:Invalid Syntax HOT 3
- tools/fetch.py ImportError: DLL load failed: The specified module could not be found. error HOT 12
- tools/fetch.py fails. File can not be downloaded. HOT 2
- When the training model is successfully restarted, the start-up service fails to find the model. HOT 8
- Dataset Format HOT 4
- cannot get trained model HOT 1
- Tensorflow GPU issue HOT 7
- Quick start for GPU version: HOT 2
- DialogFlow HOT 3
- Installing on Google Cloud Platform HOT 4
- APK? HOT 6
- Recommended server specs? HOT 2
- How to train data with new condition HOT 2
- add actions when asked something HOT 1
- Gives import error on running fetch.py HOT 3
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