Python version : 3.6 OS - MacOS Rasa installed in virtual environment
Used the below code to train the model from rasa.train import train_nlu import os
module_directory = os.path.join("/Users/kishorekumarg/Desktop/models")
module_name = "20191124-210721.tar.gz"
config_file = '/Users/kishorekumarg/Downloads/Rasa/nlu_model_config.json'
nlu_data = '/Users/kishorekumarg/Downloads/rasa_training_en.json'
train_nlu(
config=config_file,
nlu_data=nlu_data,
output=module_directory,
fixed_model_name=module_name
)
print('done')
Inside the Virtual environment executed the above code and got the model trained as below. (venv) kishorekumarg@KISHOREs-MacBook-Pro programs % python traincopy.py
Training NLU model...
WARNING:tensorflow:From /Users/kishorekumarg/Desktop/venv/lib/python3.6/site-packages/tensor2tensor/utils/expert_utils.py:68: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.
WARNING:tensorflow:
The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:
* https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
* https://github.com/tensorflow/addons
* https://github.com/tensorflow/io (for I/O related ops)
If you depend on functionality not listed there, please file an issue.
WARNING:tensorflow:From /Users/kishorekumarg/Desktop/venv/lib/python3.6/site-packages/tensor2tensor/utils/adafactor.py:27: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.
WARNING:tensorflow:From /Users/kishorekumarg/Desktop/venv/lib/python3.6/site-packages/tensor2tensor/utils/multistep_optimizer.py:32: The name tf.train.AdamOptimizer is deprecated. Please use tf.compat.v1.train.AdamOptimizer instead.
WARNING:tensorflow:Failed to load tensor2tensor
WARNING:tensorflow:From /Users/kishorekumarg/Desktop/venv/lib/python3.6/site-packages/tensor2tensor/models/research/glow_init_hook.py:25: The name tf.train.SessionRunHook is deprecated. Please use tf.estimator.SessionRunHook instead.
WARNING:tensorflow:From /Users/kishorekumarg/Desktop/venv/lib/python3.6/site-packages/tensor2tensor/models/research/neural_stack.py:38: The name tf.nn.rnn_cell.RNNCell is deprecated. Please use tf.compat.v1.nn.rnn_cell.RNNCell instead.
WARNING:tensorflow:From /Users/kishorekumarg/Desktop/venv/lib/python3.6/site-packages/tensor2tensor/rl/gym_utils.py:235: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.
WARNING:tensorflow:From /Users/kishorekumarg/Desktop/venv/lib/python3.6/site-packages/tensor2tensor/utils/trainer_lib.py:111: The name tf.OptimizerOptions is deprecated. Please use tf.compat.v1.OptimizerOptions instead.
WARNING:tensorflow:From /Users/kishorekumarg/Desktop/venv/lib/python3.6/site-packages/tensorflow_gan/python/estimator/tpu_gan_estimator.py:42: The name tf.estimator.tpu.TPUEstimator is deprecated. Please use tf.compat.v1.estimator.tpu.TPUEstimator instead.
Fitting 5 folds for each of 6 candidates, totalling 30 fits
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done 30 out of 30 | elapsed: 2.5min finished
NLU model training completed.
Your Rasa model is trained and saved at '/Users/kishorekumarg/Desktop/models/20191124-210721.tar.gz.tar.gz'.
done
Now tried to test the same by passing a set of statement using the below code.
from rasa_nlu.model import Metadata, Interpreter
import json
# where `model_directory points to the folder the model is persisted in
interpreter = Interpreter.load('/Users/kishorekumarg/Desktop/models/20191124-210721.tar.gz')
The Error I have got is below.
rasa_nlu.model.InvalidProjectError: Failed to load model metadata from '/Users/kishorekumarg/Desktop/models/20191124-210721.tar.gz/metadata.json'. [Errno 20] Not a directory: '/Users/kishorekumarg/Desktop/models/20191124-210721.tar.gz/metadata.json'
My objective is to train a model in RASA Spacy_sklearn as config and to test the same with set of statements as a kind of benchmarking activity. I am stuck with the below - can you please help me in this regard. I understand a lot has changed with rasa 0.14 to 1.4.6. Even for the training the model with python code - I have got the code from the rasa blog. It would be great if you could help on the testing the same model with python.
Thanks Kishore