This collection demonstrates how to help you to quickly embed Watson NLP in your own applications.
Home Page: https://techzone.ibm.com/collection/embedded-ai
License: Apache License 2.0
On some developer workstations there is a problem connecting to the REST or gRPC services after building and running images locally, resulting in the following error on the client:
grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = “failed to connect to all addresses; last error: UNAVAILABLE: ipv4:127.0.0.1:8085: Socket closed”
debug_error_string = “UNKNOWN:failed to connect to all addresses; last error: UNAVAILABLE: ipv4:127.0.0.1:8085: Socket closed
The cause of this seems to be that the process dies in the container server:
2022-12-14T22:45:20.971419 [MODEL-MANAGR:INFO:140660459217152] <COM44739400I> Loading local models into Common Service...
2022-12-14T22:45:20.971707 [MODEL-LOADER:INFO:140660459217152] <COM89711114I> Loading model 'classification_ensemble-workflow_lang_en_tone-stock'
.
.
/run_with_gateway.sh: line 13: 10 Killed python3 -m watson_runtime.grpc_server
I see this issue with an Intel Mac (both Big Sur and Monterey) using Docker Desktop (which shows the container is running and bound to the expected port). It's been reported by another user on a Mac as well.
Tutorial: https://github.com/ibm-build-lab/Watson-NLP/tree/main/MLOps/Deploy-to-Code-Engine
Environment: I am testing with a Mac using zsh shell and docker
Problem description:
When I execute the commands:
REGISTRY=cp.icr.io/cp/ai
MODELS="cp.icr.io/cp/ai/watson-nlp_syntax_izumo_lang_en_stock:1.0.6 cp.icr.io/cp/ai/watson-nlp_syntax_izumo_lang_fr_stock:1.0.6"
for i in $MODELS
do
image=${REGISTRY}/$i
docker run -it --rm -e ACCEPT_LICENSE=true -v `pwd`/models:/app/models $image
done
I see this error response:
docker: invalid reference format.
If I change the script as follows, it works:
for i in watson-nlp_syntax_izumo_lang_en_stock:1.0.6 watson-nlp_syntax_izumo_lang_fr_stock:1.0.6
do
image=${REGISTRY}/$i
echo $image
docker run -it --rm -e ACCEPT_LICENSE=true -v `pwd`/models:/app/models $image
done
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