@dakshvar22 - thanks for your help! I did find another problem, but considering that others haven’t reported it, I suspect it may be local to me.
Is anyone else having a key error come up? I’m now using 1.10.14 and this error comes up -
rasa_1 | 2020-09-24 11:53:20 INFO absl - Downloaded TF-Hub Module 'https://github.com/PolyAI-LDN/polyai-models/releases/download/v1.0/model.tar.gz'.
rasa_1 | 2020-09-24 11:53:21.214864: E tensorflow/stream_executor/cuda/cuda_driver.cc:351] failed call to cuInit: UNKNOWN ERROR (303)
rasa_1 | 2020-09-24 11:53:39 DEBUG root - Could not load interpreter from 'models'.
rasa_1 | 2020-09-24 11:53:39 DEBUG rasa.core.tracker_store - Connected to InMemoryTrackerStore.
rasa_1 | 2020-09-24 11:53:39 DEBUG rasa.core.lock_store - Connected to lock store 'InMemoryLockStore'.
rasa_1 | 2020-09-24 11:53:41 DEBUG rasa.model - Extracted model to '/tmp/tmp74wzxiz9'.
rasa_1 | 2020-09-24 11:54:00 ERROR rasa.core.agent - Could not load model due to 'token_pattern'.
The key error is as shown below -
rasa_1 | Traceback (most recent call last):
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/sanic/app.py", line 1167, in run
rasa_1 | serve(**server_settings)
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/sanic/server.py", line 892, in serve
rasa_1 | trigger_events(before_start, loop)
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/sanic/server.py", line 668, in trigger_events
rasa_1 | loop.run_until_complete(result)
rasa_1 | File "uvloop/loop.pyx", line 1456, in uvloop.loop.Loop.run_until_complete
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/core/run.py", line 257, in load_agent_on_start
rasa_1 | action_endpoint=endpoints.action,
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/core/agent.py", line 306, in load_agent
rasa_1 | remote_storage=remote_storage,
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/core/agent.py", line 973, in load_local_model
rasa_1 | path_to_model_archive=model_archive,
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/core/agent.py", line 422, in load
rasa_1 | interpreter = NaturalLanguageInterpreter.create(nlu_model)
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/core/interpreter.py", line 54, in create
rasa_1 | return RasaNLUInterpreter(model_directory=obj)
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/core/interpreter.py", line 274, in __init__
rasa_1 | self._load_interpreter()
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/core/interpreter.py", line 297, in _load_interpreter
rasa_1 | self.interpreter = Interpreter.load(self.model_directory)
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/nlu/model.py", line 301, in load
rasa_1 | return Interpreter.create(model_metadata, component_builder, skip_validation)
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/nlu/model.py", line 328, in create
rasa_1 | component_meta, model_metadata.model_dir, model_metadata, **context
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/nlu/components.py", line 744, in load_component
rasa_1 | component_meta, model_dir, model_metadata, cached_component, **context
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/nlu/registry.py", line 231, in load_component_by_meta
rasa_1 | component_meta, model_dir, metadata, cached_component, **kwargs
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/nlu/featurizers/sparse_featurizer/count_vectors_featurizer.py", line 662, in load
rasa_1 | meta, vocabulary=vocabulary
rasa_1 | File "/opt/venv/lib/python3.7/site-packages/rasa/nlu/featurizers/sparse_featurizer/count_vectors_featurizer.py", line 621, in _create_independent_vocab_vectorizers
rasa_1 | token_pattern=parameters["token_pattern"],
rasa_1 | KeyError: 'token_pattern'
Nothing else has changed from my initial report (other than the fact that I’m now pulling the 1.10.14-full image for rasa and 1.10.1-full for rasa-sdk).