Comments (7)
@alvin-reyes oh awesome. could you share how you set it up?
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Hi everyone. What dyno do we need to get RASA up and running? I tried deploying RASA in a free tier and it seems to work as expected.
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Hi Jason,
The reason we retired the 'deploy to heroku' button is because rasa won't run on the 'free' tier dynos from Heroku because they don't have enough memory. Happy to write something explaining these vars, but the idea was to let people test rasa NLU without installing a backend. Unfortunately that doesn't work with the free heroku plan so we chose to go with docker images.
If you do get it running on heroku, let me know which dyno size worked for you! We could then include it in the docs
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Ah gotcha. If it's deprecated then I'll go ahead and close #89. Closing this issue.
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@amn41 this is great to know that it's still possible. We're looking to deploy on heroku, we'll be running on very large dynos so imagine it won't be a problem. Are there any old docs on deploying with heroku so I can give it a whirl?
Happy to help document any setup.
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@beamercola you can have at look at the app.json
https://github.com/golastmile/rasa_nlu/blob/master/app.json
Unfortunately, there is no other documentation. Maybe @amn41 can share some insights he had with setting it up on heroku.
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@alvin-reyes any chance you still share your setup?
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Related Issues (20)
- rasa data validate does not properly ignore warnings HOT 3
- JSONDecodeError when loading YAML file HOT 1
- Could not load model due to Error initializing graph component for node 'run_LanguageModelFeaturizer1' HOT 4
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- Problems with rasa installation on Python 3.10 HOT 2
- Improving README.md steps in Development Internals HOT 3
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- 💡 Looking for issues? Head over to Jira
- 💡 Looking for issues? Head over to Jira!
- Cython installation issue in arm processor. HOT 3
- Make pre compiled typo detection when $ rasa train
- RASA NLU trainer error HOT 3
- Add random_state (as keyword argument?) to generate_folds and use it when executing stratified sampling HOT 1
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