Hi guys, i have build a new model for a small chat application using rasa nlu. whn am parsing the model for intent classification (i.e. rasa run -p 8085 --enable-api), the request seems to be consuming a lot of time for first request, can any one whats the problem here. is there any way i can overcome it?

Can you paste your pipeline here? Have you reviewed the NLU logs at start time and when you make your first request?

@stephens thanks for your reply am using the below config file. language: “en” pipeline: name: “WhitespaceTokenizer” name: “RegexFeaturizer” name: “deepPavlov.DeepPavlov” name: “CRFEntityExtractor” features: [ [“low”, “title”, “upper”], [“bias”, “low”, “prefix5”, “prefix2”, “suffix5”, “suffix3”,“suffix2”, “upper”, “title”, “digit”, “pattern”], [“low”, “title”, “upper”] ] name: “EntitySynonymMapper” name: “CountVectorsFeaturizer” name: “EmbeddingIntentClassifier” name: “DucklingHTTPExtractor” url: http://localhost:8000 dimensions: time number amount-of-money distance ordinal policies: name: MemoizationPolicy name: KerasPolicy name: MappingPolicy and i was watching the request it seems to be taking a lot of tym to contact nlu itself .

I would next look at the logs. If you’re running a docker-compose setup: docker-compose logs -f on start, issue your first request and see what’s going on. Errors, long delay at some point…

Getting a long time for first request to parse my model

Rasa Open Source

prasanth55555 (Prasanth55555) December 15, 2019, 7:35pm 4

@stephens @akelad @juste_petr can any one help me with this?

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Getting a long time for first request to parse my model

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