d-v
commented
2 years ago I was using wrong syntax but it is still giving error with right init syntax
pi@raspberrypi:~/rasa-docker-arm $ docker-compose up
Recreating rasa-docker-arm_rasa_1 ... done
Attaching to rasa-docker-arm_rasa_1
rasa_1 | No model found. You have three options to provide a model:
rasa_1 | 1. Configure a model server in the endpoint configuration and provide the configuration via '--endpoints'.
rasa_1 | 2. Specify a remote storage via '--remote-storage' to load the model from.
rasa_1 | 3. Train a model before running the server using `rasa train` and use '--model' to provide the model path.
rasa_1 | For more information check https://rasa.com/docs/rasa/user-guide/configuring-http-api/.
rasa-docker-arm_rasa_1 exited with code 0
pi@raspberrypi:~/rasa-docker-arm $ docker-compose up -d
Starting rasa-docker-arm_rasa_1 ... done
pi@raspberrypi:~/rasa-docker-arm $ docker-compose run rasa init
Creating rasa-docker-arm_rasa_run ... done
Welcome to Rasa! 🤖
To get started quickly, an initial project will be created.
If you need some help, check out the documentation at https://rasa.com/docs/rasa.
Now let's start! 👇🏽
? Please enter a path where the project will be created [default: current directory] .
? Directory '/app' is not empty. Continue? Yes
Created project directory at '/app'.
Finished creating project structure.
? Do you want to train an initial model? 💪🏽 Yes
Training an initial model...
Training Core model...
Traceback (most recent call last):
File "/opt/venv/bin/rasa", line 8, in <module>
sys.exit(main())
File "/opt/venv/lib/python3.7/site-packages/rasa/__main__.py", line 92, in main
cmdline_arguments.func(cmdline_arguments)
File "/opt/venv/lib/python3.7/site-packages/rasa/cli/scaffold.py", line 206, in run
init_project(args, path)
File "/opt/venv/lib/python3.7/site-packages/rasa/cli/scaffold.py", line 118, in init_project
print_train_or_instructions(args, path)
File "/opt/venv/lib/python3.7/site-packages/rasa/cli/scaffold.py", line 58, in print_train_or_instructions
args.model = rasa.train(domain, config, training_files, output)
File "/opt/venv/lib/python3.7/site-packages/rasa/train.py", line 50, in train
additional_arguments=additional_arguments,
File "uvloop/loop.pyx", line 1494, in uvloop.loop.Loop.run_until_complete
File "/opt/venv/lib/python3.7/site-packages/rasa/train.py", line 101, in train_async
additional_arguments,
File "/opt/venv/lib/python3.7/site-packages/rasa/train.py", line 188, in _train_async_internal
additional_arguments=additional_arguments,
File "/opt/venv/lib/python3.7/site-packages/rasa/train.py", line 223, in _do_training
additional_arguments=additional_arguments,
File "/opt/venv/lib/python3.7/site-packages/rasa/train.py", line 361, in _train_core_with_validated_data
additional_arguments=additional_arguments,
File "/opt/venv/lib/python3.7/site-packages/rasa/core/train.py", line 43, in train
policies = config.load(policy_config)
File "/opt/venv/lib/python3.7/site-packages/rasa/core/config.py", line 28, in load
return PolicyEnsemble.from_dict(config_data)
File "/opt/venv/lib/python3.7/site-packages/rasa/core/policies/ensemble.py", line 308, in from_dict
constr_func = registry.policy_from_module_path(policy_name)
File "/opt/venv/lib/python3.7/site-packages/rasa/core/registry.py", line 21, in policy_from_module_path
module_path, lookup_path="rasa.core.policies.registry"
File "/opt/venv/lib/python3.7/site-packages/rasa/utils/common.py", line 244, in class_from_module_path
m = importlib.import_module(lookup_path)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/opt/venv/lib/python3.7/site-packages/rasa/core/policies/registry.py", line 5, in <module>
from rasa.core.policies.ted_policy import TEDPolicy
File "/opt/venv/lib/python3.7/site-packages/rasa/core/policies/ted_policy.py", line 8, in <module>
import tensorflow_addons as tfa
File "/opt/venv/lib/python3.7/site-packages/tensorflow_addons/__init__.py", line 30, in <module>
from tensorflow_addons import text
File "/opt/venv/lib/python3.7/site-packages/tensorflow_addons/text/__init__.py", line 43, in <module>
from tensorflow_addons.text.parse_time_op import parse_time
File "/opt/venv/lib/python3.7/site-packages/tensorflow_addons/text/parse_time_op.py", line 25, in <module>
get_path_to_datafile("custom_ops/text/_parse_time_op.so"))
File "/opt/venv/lib/python3.7/site-packages/tensorflow_core/python/framework/load_library.py", line 57, in load_op_library
lib_handle = py_tf.TF_LoadLibrary(library_filename)
tensorflow.python.framework.errors_impl.NotFoundError: /opt/venv/lib/python3.7/site-packages/tensorflow_addons/custom_ops/text/_parse_time_op.so: undefined symbol: _ZN4absl9ParseTimeERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES7_PNS_4TimeEPS5_
ERROR: 1
pi@raspberrypi:~/rasa-docker-arm $
koenvervloesem
Hello! Fantastic project I am noob with Rasa and docker in general but I am running into some issues with RPi 4b 8gb, 128gb sd. When launching for the first time it says I need to train a model
However when I train a model it gives an error
Also I did not have any luck building the image so thank you for providing one to download!