Comments (12)
Actually it was kind of mess with packages. Reinstall them and all is nice
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@jnawotka What scipy version do you have? pip list
to see it. You need scipy==1.2.1
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@nicolas-ivanov I have the version from the requirements text file so it is 1.2.1
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@jnawotka Could you, please, post the output of pip list
here?
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ok here you go
Package Version Location
----------------------------- -------------------- ----------------
2to3 1.0
absl-py 0.7.1
aiohttp 3.5.4
aioslacker 0.0.11
aiosqlite 0.10.0
alabaster 0.7.12
aniso8601 6.0.0
apixu 0.2.0
appdirs 1.4.3
APScheduler 3.0.1
arrow 0.13.1
asn1crypto 0.24.0
astor 0.7.1
astroid 2.2.5
async-timeout 3.0.1
asyncio-redis 0.15.1
attrs 18.2.0
Automat 0.7.0
Babel 2.6.0
bcrypt 3.1.6
beautifulsoup4 4.7.1
bleach 3.1.0
blinker 1.4
blis 0.2.4
boto 2.49.0
boto3 1.4.4
botocore 1.5.95
cachetools 3.0.0
certifi 2019.3.9
cffi 1.12.3
chardet 3.0.4
chatbotAI 0.2.0.8
ChatterBot 1.0.5
chatterbot-corpus 1.2.0
Click 7.0
click-log 0.1.8
cloudpickle 0.8.1
cmuclmtk 0.1.5
colorama 0.4.1
coloredlogs 7.3
ConfigArgParse 0.12.0
constantly 15.1.0
cryptography 2.6.1
cycler 0.10.0
cymem 2.0.2
cytoolz 0.8.2
dask 1.2.2
decorator 4.4.0
defusedxml 0.6.0
deprecation 2.0.6
dialogflow 0.5.2
dill 0.2.9
discord 1.0.1
discord.py 1.1.0
distro 1.4.0
Django 2.1.8
django-cors-headers 2.4.1
django-debug-toolbar 1.11
djangorestframework 3.9.4
docopt 0.6.2
docutils 0.14
elasticsearch5 5.5.5
emoji 0.5.2
en-core-web-sm 2.1.0
entrypoints 0.3
facebook-sdk 0.4.0
facepy 1.0.10
factory-boy 2.11.1
Faker 1.0.7
fakeredis 0.8.2
fbmessenger 4.3.1
fbrecog 1.6
feedparser 5.1.3
flake8 3.7.7
Flask 1.0.2
Flask-Bcrypt 0.7.1
Flask-Cors 3.0.7
Flask-Login 0.4.1
Flask-Mail 0.9.1
Flask-RESTful 0.3.7
Flask-SQLAlchemy 2.4.0
Flask-WTF 0.14.2
ftfy 4.4.3
future 0.16.0
futures 3.1.1
gast 0.2.2
gensim 1.0.1
gevent 1.2.1
gitdb2 2.0.5
gitpython 2.1.11
google 2.0.2
google-api-core 1.10.0
google-auth 1.6.3
google-pasta 0.1.6
google-search 1.0.2
googleapis-common-protos 1.5.10
goslate 1.5.1
graphviz 0.7.1
greenlet 0.4.15
grpcio 1.20.1
gunicorn 19.9.0
h5py 2.9.0
html5lib 0.9999999
humanfriendly 4.18
hyperlink 19.0.0
idna 2.8
idna-ssl 1.1.0
imageio 2.4.1
imagesize 1.1.0
immutables 0.9
incremental 17.5.0
inflect 2.1.0
ipython-genutils 0.2.0
isort 4.3.20
itsdangerous 1.1.0
jaraco.itertools 4.4.2
jarvis 0.1.9
Jinja2 2.10.1
jmespath 0.9.4
joblib 0.13.2
jsondatabase 0.1.7
jsonpickle 0.9.4
jsonschema 2.6.0
jupyter-core 4.4.0
Keras 2.2.4
Keras-Applications 1.0.7
Keras-Preprocessing 1.0.9
klein 17.2.0
lazy-object-proxy 1.4.1
lxml 4.3.3
Markdown 3.1
MarkupSafe 1.1.1
mathparse 0.1.2
matplotlib 1.5.3
matrix-api-async 0.1.0
matrix-client 0.3.2
mccabe 0.6.1
mistune 0.8.4
mock 3.0.5
more-itertools 7.0.0
motor 2.0.0
multidict 4.5.2
murmurhash 1.0.2
nbconvert 5.5.0
nbformat 4.4.0
nbsphinx 0.4.2
networkx 1.11
nltk 3.4
num2words 0.5.9
numpy 1.16.0
opsdroid 0.15.0
opsdroid-get-image-size 0.2.2
packaging 19.0
pandas 0.23.4
pandoc 1.0.0b2
pandocfilters 1.4.2
parlai 0.1.0 d:\python\parlai
parse 1.12.0
pathlib 1.0.1
pbr 5.2.0
pexpect 4.7.0
Pillow 6.0.0
Pint 0.9
pip 19.1.1
plac 0.9.6
ply 3.11
Porcupine 0.70.0
preshed 2.0.1
progressbar2 3.38.0
prompt-toolkit 2.0.9
protobuf 3.7.1
ptyprocess 0.6.0
puremagic 1.5
py 1.8.0
py-gfm 0.1.4
PyAIML 0.8.6
pyaml 17.12.1
pyasn1 0.4.5
pyasn1-modules 0.2.5
pycodestyle 2.5.0
pycparser 2.19
pycron 1.0.0
PyDictionary 1.5.2
pyflakes 2.1.1
Pygments 2.3.1
PyHamcrest 1.9.0
pyjokes 0.5.0
pykwalify 1.6.0
pylint 2.3.1
pymongo 3.8.0
pypandoc 1.4
pyparsing 2.4.0
pyreadline 2.1
python-crfsuite 0.9.6
python-dateutil 2.8.0
python-mpd 0.3.0
python-telegram-bot 11.1.0
python-utils 2.3.0
pyttsx 1.1
pytz 2019.1
PyWavelets 1.0.3
pywin32 224
PyYAML 4.2b1
pyzmq 18.0.1
quantities 0.12.3
rasa-core 0.8.2
rasa-nlu 0.11.4
redis 2.10.5
regex 2017.4.5
requests 2.21.0
rsa 4.0
ruamel.yaml 0.15.34
s3transfer 0.1.13
scikit-image 0.14.2
scikit-learn 0.20.2
scipy 1.2.0
semantic 1.0.3
semantic-version 2.6.0
setuptools 39.1.0
sh 1.12.14
simplejson 3.11.1
singledispatch 3.4.0.3
six 1.12.0
sklearn-crfsuite 0.3.6
slackclient 1.3.1
slacker 0.9.42
smart-open 1.8.4
smmap2 2.0.5
snips-nlu 0.19.6
snips-nlu-en 0.2.1
snips-nlu-parsers 0.2.1
snips-nlu-utils 0.8.0
snowballstemmer 1.2.1
soupsieve 1.9.1
spacy 2.1.4
spacymoji 2.0.0
Sphinx 2.0.1
sphinx-rtd-theme 0.4.3
sphinxcontrib-applehelp 1.0.1
sphinxcontrib-devhelp 1.0.1
sphinxcontrib-htmlhelp 1.0.2
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.2
sphinxcontrib-serializinghtml 1.1.3
SQLAlchemy 1.2.19
sqlparse 0.3.0
srsly 0.0.5
tabulate 0.8.3
tb-nightly 1.14.0a20190301
telepot 12.6
tensorboard 1.12.2
tensorflow 1.12.2
tensorflow-estimator 1.13.0
tensorflow-tensorboard 1.5.1
tensorlayer 2.0.0
termcolor 1.1.0
testpath 0.4.2
text-unidecode 1.2
tf-estimator-nightly 1.14.0.dev2019030115
thinc 7.0.4
toolz 0.9.0
toposort 1.5
torch 1.1.0
torchvision 0.2.2.post3
tqdm 4.30.0
traitlets 4.3.2
Twisted 19.2.0
typed-ast 1.3.5
typing 3.5.3.0
typing-extensions 3.7.2
TzaraIPA 0.1
tzlocal 1.5.1
ujson 1.35
unicodecsv 0.14.1
Unidecode 1.0.23
urbandictionary 1.1
urllib3 1.23
wasabi 0.2.2
wcwidth 0.1.7
webencodings 0.5.1
websocket-client 0.54.0
websocket-server 0.4
websockets 7.0
Werkzeug 0.15.2
wheel 0.33.4
wikipedia 1.4.0
wit 5.1.0
wolframalpha 3.0.1
wrapt 1.10.11
WTForms 2.2.1
xmltodict 0.12.0
yarl 1.3.0
zope.interface 4.6.0
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@jnawotka your python interpreter can potentially load some other version of scipy. For example, if you have several versions of python on your system, you may install packages for one version of python (say, python 2), but launch the interpreter for another (python 3).
In order to avoid this issue, we suggest using a virtual environment and not to install python packages globally, as you did. So, do the following:
# create and activate virtual environment
pip install virtualenv
virtualenv -p python3 venv_cakechat
source venv_cakechat/bin/activate
# now you are in a virtual environment with local python and pip; install the requirements
pip install -r requirements.txt -r requirements-local.txt
#check the installed packages, scipy 1.2.0 should be in the list
pip list
# try fetching the model
cd cakechat
python tools/fetch.py
# leave the virtual environment when you are done
deactivate
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@nicolas-ivanov I have tried what you suggested and it still does not work, same error
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@jnawotka Let me try to reproduce this issue on my Windows machine a bit later (need to rehabilitate it first :)
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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
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Have the same issue. Using miniconda env, python 3.6.8, tensorflow 1.12.2
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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
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Related Issues (20)
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- How to get only 1 sentence of answer? HOT 3
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