Hello Friends, I am trying to visualize the training data. I followed the steps given in rasa-demo-pydata18/rasa-moodbot-demo-complete-executed.ipynb at master · Manoj-t/rasa-demo-pydata18 · GitHub. It is not producing me any image as output after executing that program. I am attaching screenshot of that. Can someone help me in solving this issue. Thanks in Advance.
Hey, I can see you are running this in your console. I don’t think you will be able to get the image produced in your console so you have an option to run this in a jupyter notebook or openingstory_graph.png file which should have been created in your working directory after you executed stories.visualize function.
Thank you @Juste for responding. I tried to open story_graph.png file that generated in my working directory. It is saying “file couldn’t be opened, it is damaged”. you can see the picture I attached.
It is probably the image is not png.
To confirm the real file type, you can run file ${path_to_image} in console (terminal).
If the output shows HTML document, ASCII text then change the extension to html and see if you can open with browser.
3 Likes
You can visualise training data using following command:
python -m rasa_core.visualize -d domain.yml -s data/stories.md -o graph.html -c nlu_config.yml
Make sure your current working directory should be same as that of your project directory
No traceback in the output
Python 3.6.8
absl-py==0.7.0
appnope==0.1.0
APScheduler==3.5.3
astor==0.7.1
attrs==18.2.0
Automat==0.7.0
backcall==0.1.0
bleach==3.1.0
boto3==1.9.83
botocore==1.12.83
certifi==2018.11.29
chardet==3.0.4
Click==7.0
cloudpickle==0.6.1
colorclass==2.2.0
coloredlogs==10.0
colorhash==1.0.2
ConfigArgParse==0.13.0
constantly==15.1.0
cycler==0.10.0
cymem==1.31.2
cytoolz==0.9.0.1
decorator==4.3.0
defusedxml==0.5.0
dill==0.2.9
docopt==0.6.2
docutils==0.14
en-core-web-md==2.0.0
en-core-web-sm==2.0.0
entrypoints==0.3
fakeredis==0.10.3
fbmessenger==5.4.0
Flask==1.0.2
Flask-Cors==3.0.7
Flask-JWT-Simple==0.0.3
future==0.17.1
gast==0.2.2
gevent==1.4.0
greenlet==0.4.15
grpcio==1.18.0
h5py==2.9.0
humanfriendly==4.17
hyperlink==18.0.0
idna==2.8
incremental==17.5.0
ipykernel==5.1.0
ipython==7.2.0
ipython-genutils==0.2.0
ipywidgets==7.4.2
itsdangerous==1.1.0
jedi==0.13.2
Jinja2==2.10
jmespath==0.9.3
jsonpickle==0.9.6
jsonschema==2.6.0
jupyter==1.0.0
jupyter-client==5.2.4
jupyter-console==6.0.0
jupyter-core==4.4.0
kiwisolver==1.0.1
klein==17.10.0
Markdown==3.0.1
MarkupSafe==1.1.0
matplotlib==2.2.3
mattermostwrapper==2.1
mistune==0.8.4
msgpack==0.5.6
msgpack-numpy==0.4.3.2
murmurhash==0.28.0
nbconvert==5.4.0
nbformat==4.4.0
networkx==2.2
notebook==5.7.4
numpy==1.16.0
packaging==17.1
pandocfilters==1.4.2
parso==0.3.1
pathlib==1.0.1
pexpect==4.6.0
pickleshare==0.7.5
pika==0.11.2
pip-tools==3.2.0
plac==0.9.6
preshed==1.0.1
prometheus-client==0.5.0
prompt-toolkit==2.0.7
protobuf==3.6.1
ptyprocess==0.6.0
pydot==1.4.1
Pygments==2.3.1
pygraphviz==1.5
PyHamcrest==1.9.0
PyInquirer==1.0.3
PyJWT==1.7.1
pykwalify==1.6.0
pymongo==3.7.2
pyparsing==2.3.1
PySocks==1.6.8
python-crfsuite==0.9.6
python-dateutil==2.7.5
python-engineio==3.2.3
python-socketio==2.1.2
python-telegram-bot==10.1.0
pytz==2018.9
PyYAML==3.13
pyzmq==17.1.2
qtconsole==4.4.3
rasa-core==0.12.4
rasa-core-sdk==0.12.1
rasa-nlu==0.13.8
redis==2.10.6
regex==2018.1.10
requests==2.21.0
requests-toolbelt==0.8.0
rocketchat-API==0.6.25
ruamel.yaml==0.15.86
s3transfer==0.1.13
scikit-learn==0.19.2
scipy==1.2.0
Send2Trash==1.5.0
simplejson==3.16.0
six==1.12.0
sklearn-crfsuite==0.3.6
slackclient==1.3.0
spacy==2.0.12
tabulate==0.8.2
tensorboard==1.10.0
tensorflow==1.10.0
termcolor==1.1.0
terminado==0.8.1
terminaltables==3.1.0
testpath==0.4.2
thinc==6.10.3
toolz==0.9.0
tornado==5.1.1
tqdm==4.29.1
traitlets==4.3.2
twilio==6.23.1
Twisted==18.9.0
typing==3.6.6
tzlocal==1.5.1
ujson==1.35
urllib3==1.24.1
wcwidth==0.1.7
webencodings==0.5.1
webexteamssdk==1.1.1
websocket-client==0.54.0
Werkzeug==0.14.1
widgetsnbextension==3.4.2
wrapt==1.10.11
zope.interface==4.6.0
OSX 10.14.2
