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RasaHQ / rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
https://rasa.com/docs/rasa/
Apache License 2.0
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ModuleNotFoundError: No module named 'tensorflow_core' #5990

Closed sainimohit23 closed 4 years ago

sainimohit23 commented 4 years ago

Rasa version: 1.9.6

Rasa SDK version (if used & relevant):

Rasa X version (if used & relevant):

Python version: 3.6

Operating system (windows, osx, ...): ubuntu 16.04

Issue: I am getting following error while running the command rasa train nlu ModuleNotFoundError: No module named 'tensorflow_core'

I created a conda environment.

installed rasa and its dependencies using-

pip install rasa rasa[spacy]

Pipeline that I am using

pipeline:
  - name: ConveRTTokenizer
  - name: ConveRTFeaturizer
  - name: RegexFeaturizer
  - name: LexicalSyntacticFeaturizer
  - name: CountVectorsFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: "char_wb"
    min_ngram: 1
    max_ngram: 4
  - name: DIETClassifier
    epochs: 100
  - name: EntitySynonymMapper
  - name: ResponseSelector
    epochs: 100

Error (including full traceback):

(rasaenv) YATRAONLINE\v-mohit.saini@lap0002044:~/personal/rasa/rasabot$ rasa train nlu
Training NLU model...
Traceback (most recent call last):
  File "/home/v-mohit.saini/anaconda3/envs/rasaenv/bin/rasa", line 8, in <module>
    sys.exit(main())
  File "/home/v-mohit.saini/anaconda3/envs/rasaenv/lib/python3.6/site-packages/rasa/__main__.py", line 91, in main
    cmdline_arguments.func(cmdline_arguments)
  File "/home/v-mohit.saini/anaconda3/envs/rasaenv/lib/python3.6/site-packages/rasa/cli/train.py", line 140, in train_nlu
    persist_nlu_training_data=args.persist_nlu_data,
  File "/home/v-mohit.saini/anaconda3/envs/rasaenv/lib/python3.6/site-packages/rasa/train.py", line 414, in train_nlu
    persist_nlu_training_data,
  File "uvloop/loop.pyx", line 1456, in uvloop.loop.Loop.run_until_complete
  File "/home/v-mohit.saini/anaconda3/envs/rasaenv/lib/python3.6/site-packages/rasa/train.py", line 445, in _train_nlu_async
    persist_nlu_training_data=persist_nlu_training_data,
  File "/home/v-mohit.saini/anaconda3/envs/rasaenv/lib/python3.6/site-packages/rasa/train.py", line 474, in _train_nlu_with_validated_data
    persist_nlu_training_data=persist_nlu_training_data,
  File "/home/v-mohit.saini/anaconda3/envs/rasaenv/lib/python3.6/site-packages/rasa/nlu/train.py", line 74, in train
    trainer = Trainer(nlu_config, component_builder)
  File "/home/v-mohit.saini/anaconda3/envs/rasaenv/lib/python3.6/site-packages/rasa/nlu/model.py", line 142, in __init__
    components.validate_requirements(cfg.component_names)
  File "/home/v-mohit.saini/anaconda3/envs/rasaenv/lib/python3.6/site-packages/rasa/nlu/components.py", line 46, in validate_requirements
    from rasa.nlu import registry
  File "/home/v-mohit.saini/anaconda3/envs/rasaenv/lib/python3.6/site-packages/rasa/nlu/registry.py", line 13, in <module>
    from rasa.nlu.classifiers.diet_classifier import DIETClassifier
  File "/home/v-mohit.saini/anaconda3/envs/rasaenv/lib/python3.6/site-packages/rasa/nlu/classifiers/diet_classifier.py", line 25, in <module>
    from rasa.utils.tensorflow.models import RasaModel
  File "/home/v-mohit.saini/anaconda3/envs/rasaenv/lib/python3.6/site-packages/rasa/utils/tensorflow/models.py", line 9, in <module>
    from tensorflow_core.python.ops.summary_ops_v2 import ResourceSummaryWriter
ModuleNotFoundError: No module named 'tensorflow_core'

Command or request that led to error:

rasa train nlu

Content of configuration file (config.yml) (if relevant):

Content of domain file (domain.yml) (if relevant):

sara-tagger commented 4 years ago

Thanks for raising this issue, @chkoss will get back to you about it soon✨

Please also check out the docs and the forum in case your issue was raised there too 🤗
dakshvar22 commented 4 years ago

Hi @sainimohit23, that error looks like there is a problem with your virtual environment. Can you please try pip installing rasa in a fresh environment and check. Also, since you want to use ConveRT in your pipeline, you should install rasa with pip install rasa[convert]

sainimohit23 commented 4 years ago

@dakshvar22 thanks it worked. I have a question unrelated to this issue. I have asked this question 3 times in forums and I never got an answer.

As my dataset is going to have a lot of dates and times. So, how to make the intent classifier aware of dates as entities. The queries are going to have a lot of examples like:

So, if I prepare training data as given below, will it work? Or is there any better way to define date entities? Does adding the "DucklingHTTPExtractor" in the pipeline would help(as it is just an entity extractor)?

geetanjaligg commented 4 years ago

Hi

@dakshvar22 @sainimohit23 I am still getting this error when I run rasa train nlu. I tried creating a fresh venv and reinstalled TensorFlow and rasa. Still couldn't get rid of this.

pip libraries:

absl-py==0.9.0
aiofiles==0.5.0
aiohttp==3.6.2
appnope==0.1.0
APScheduler==3.6.3
astor==0.8.1
astroid==2.3.3
astropy==4.0
astunparse==1.6.3
async-generator==1.10
async-timeout==3.0.1
attrs==19.3.0
Automat==0.8.0
autopep8==1.5.2
backcall==0.1.0
beautifulsoup4==4.8.2
bleach==3.1.0
blis==0.2.4
boto==2.49.0
boto3==1.14.8
botocore==1.17.8
bs4==0.0.1
cachetools==4.0.0
catalogue==1.0.0
catboost==0.23.2
certifi==2019.11.28
cffi==1.13.2
chardet==3.0.4
click==7.1.2
cloudpickle==1.3.0
cltk==0.1.113
colorclass==2.2.0
coloredlogs==10.0
colorhash==1.0.2
colour==0.1.5
ConfigArgParse==0.13.0
confuse==1.0.0
constantly==15.1.0
cryptography==2.8
cssselect==1.1.0
cycler==0.10.0
cymem==2.0.3
decorator==4.4.0
defusedxml==0.6.0
dill==0.3.1.1
dnspython==1.16.0
docopt==0.6.2
docutils==0.15.2
en-core-web-md @ https://github.com/explosion/spacy-models/releases/download/en_core_web_md-2.1.0/en_core_web_md-2.1.0.tar.gz
entrypoints==0.3
fakeredis==0.10.3
fbmessenger==6.0.0
Flask==1.1.2
Flask-Cors==3.0.8
Flask-JWT-Simple==0.0.3
future==0.18.2
gast==0.2.2
gensim==3.8.3
geojson==2.5.0
gevent==1.5.0
gitdb2==2.0.6
GitPython==3.0.5
google-auth==1.10.1
google-auth-oauthlib==0.4.1
google-pasta==0.1.8
googleapis-common-protos==1.51.0
graphviz==0.13.2
greenlet==0.4.16
grpcio==1.26.0
gunicorn==20.0.4
h11==0.8.1
h2==3.2.0
h5py==2.10.0
hpack==3.0.0
hstspreload==2020.6.30
htmlmin==0.1.12
httplib2==0.18.1
httptools==0.1.1
httpx==0.9.3
humanfriendly==8.2
hyperframe==5.2.0
hyperlink==19.0.0
idna==2.8
imbalanced-learn==0.6.2
imblearn==0.0
importlib-metadata==0.23
incremental==17.5.0
ipykernel==5.1.2
ipython==7.8.0
ipython-genutils==0.2.0
ipywidgets==7.5.1
isort==4.3.21
itsdangerous==1.1.0
jedi==0.15.1
Jinja2==2.10.3
jmespath==0.10.0
joblib==0.14.1
json5==0.8.5
jsonpickle==1.4.1
jsonschema==3.2.0
jupyter-client==5.3.4
jupyter-contrib-core==0.3.3
jupyter-contrib-nbextensions==0.5.1
jupyter-core==4.6.0
jupyter-highlight-selected-word==0.2.0
jupyter-latex-envs==1.4.6
jupyter-nbextensions-configurator==0.4.1
jupyterlab==1.1.4
jupyterlab-server==1.0.6
jupyterthemes==0.20.0
kafka-python==1.4.7
Keras==2.3.1
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
kiwisolver==1.1.0
klein==17.10.0
kmodes==0.10.2
lazy-object-proxy==1.4.3
lesscpy==0.14.0
lightgbm==2.3.1
llvmlite==0.31.0
lxml==4.5.0
Markdown==3.1.1
MarkupSafe==1.1.1
matplotlib==3.2.2
mattermostwrapper==2.2
mccabe==0.6.1
missingno==0.4.2
mistune==0.8.4
mock==4.0.2
more-itertools==7.2.0
mpld3==0.3
multidict==4.7.6
murmurhash==1.0.2
nbconvert==5.6.0
nbformat==4.4.0
networkx==2.4
nltk==3.4.5
notebook==6.0.1
numba==0.48.0
numpy==1.17.2
oauth2client==4.1.3
oauthlib==3.1.0
opt-einsum==3.1.0
packaging==20.4
pandas==0.25.3
pandas-profiling==2.4.0
pandocfilters==1.4.2
parsel==1.5.2
parso==0.5.1
patsy==0.5.1
pexpect==4.7.0
phik==0.9.9
pickleshare==0.7.5
pika==1.1.0
Pillow==7.1.2
pixiedust==1.1.18
plac==0.9.6
plotly==4.8.1
pluggy==0.13.1
ply==3.11
preshed==2.0.1
prometheus-client==0.7.1
promise==2.3
prompt-toolkit==2.0.9
Protego==0.1.16
protobuf==3.11.2
psycopg2-binary==2.8.5
ptyprocess==0.6.0
py==1.8.1
pyaml==20.4.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycodestyle==2.5.0
pycparser==2.19
PyDispatcher==2.0.5
pydot==1.4.1
pydotplus==2.0.2
Pygments==2.4.2
PyHamcrest==2.0.0
PyJWT==1.7.1
pykwalify==1.7.0
pylint==2.4.4
pymongo==3.8.0
PyMySQL==0.9.3
pyOpenSSL==19.1.0
pyparsing==2.4.2
pyrsistent==0.15.4
PySocks==1.7.1
pytest==5.3.5
pytest-pylint==0.14.1
python-crfsuite==0.9.6
python-dateutil==2.8.0
python-engineio==3.12.1
python-socketio==4.5.1
python-telegram-bot==11.1.0
pytz==2019.3
pyuca==1.2
PyYAML==5.3
pyzmq==18.1.0
questionary==1.5.2
queuelib==1.5.0
rasa==1.10.3
rasa-core==0.14.5
rasa-core-sdk==0.14.0
rasa-nlu==0.15.1
rasa-sdk==1.10.2
redis==3.5.3
regex==2020.1.8
requests==2.24.0
requests-oauthlib==1.3.0
requests-toolbelt==0.9.1
retrying==1.3.3
rfc3986==1.4.0
rocketchat-API==0.6.36
rsa==4.0
ruamel.yaml==0.16.10
ruamel.yaml.clib==0.2.0
s3transfer==0.3.3
sanic==19.12.2
Sanic-Cors==0.10.0.post3
sanic-jwt==1.4.1
Sanic-Plugins-Framework==0.9.2
scikit-learn==0.22.2.post1
scikit-optimize==0.7.4
scipy==1.4.1
Scrapy==1.8.0
seaborn==0.9.0
Send2Trash==1.5.0
service-identity==18.1.0
simplejson==3.17.0
six==1.12.0
sklearn-crfsuite==0.3.6
slackclient==2.7.2
smart-open==2.0.0
smmap2==2.0.5
sniffio==1.1.0
soupsieve==1.9.5
spacy==2.1.9
SQLAlchemy==1.3.18
srsly==1.0.2
statsmodels==0.11.0
tabulate==0.8.7
tensorboard==2.1.1
tensorflow==2.1.1
tensorflow-addons==0.7.1
tensorflow-datasets==3.0.0
tensorflow-estimator==2.1.0
tensorflow-hub==0.8.0
tensorflow-metadata==0.21.2
tensorflow-probability==0.9.0
termcolor==1.1.0
terminado==0.8.2
terminaltables==3.1.0
testpath==0.4.2
thinc==7.0.8
tornado==6.0.3
tqdm==4.45.0
traitlets==4.3.2
twilio==6.26.3
Twisted==19.10.0
typed-ast==1.4.1
typing==3.7.4.1
tzlocal==2.1
ujson==2.0.3
urllib3==1.25.7
uvloop==0.14.0
w3lib==1.21.0
wasabi==0.7.0
wcwidth==0.1.7
webencodings==0.5.1
webexteamssdk==1.3
websocket-client==0.54.0
websockets==8.1
Werkzeug==0.16.0
Whoosh==2.7.4
widgetsnbextension==3.5.1
wrapt==1.11.2
xgboost==0.90
xlrd==1.2.0
yarl==1.4.2
zipp==0.6.0
zope.interface==4.7.1
sainimohit23 commented 4 years ago

@geetanjaligg can you show me your pipeline?

geetanjaligg commented 4 years ago 
  - name: ConveRTTokenizer
  - name: ConveRTFeaturizer
  - name: RegexFeaturizer
  - name: LexicalSyntacticFeaturizer
  - name: CountVectorsFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: "char_wb"
    min_ngram: 1
    max_ngram: 4
  - name: DIETClassifier
    epochs: 100
  - name: EntitySynonymMapper
  - name: ResponseSelector
    epochs: 100
sainimohit23 commented 4 years ago

@geetanjaligg as @dakshvar22 has mentioned. You have to install the following package- pip install rasa[convert]

geetanjaligg commented 4 years ago

Thanks. I changed the virtual env with the old version of python and reinstalled everything.