name: rasa_py38
channels:
- conda-forge
dependencies:
- python=3.8
- pip
- spacy
(base) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ conda env create -f env.yml
Collecting package metadata (repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.12.0
latest version: 4.14.0
Please update conda by running
$ conda update -n base -c defaults conda
Downloading and Extracting Packages
libsqlite-3.39.3 | 789 KB | ### | 100%
numpy-1.23.3 | 7.1 MB | ### | 100%
dataclasses-0.8 | 10 KB | ### | 100%
pathy-0.6.2 | 38 KB | ### | 100%
srsly-2.4.4 | 540 KB | ### | 100%
sqlite-3.39.3 | 789 KB | ### | 100%
python-3.8.13 | 25.1 MB | ### | 100%
markupsafe-2.1.1 | 22 KB | ### | 100%
spacy-loggers-1.0.3 | 13 KB | ### | 100%
cython-blis-0.7.8 | 9.0 MB | ### | 100%
cymem-2.0.6 | 42 KB | ### | 100%
cffi-1.15.1 | 229 KB | ### | 100%
click-8.1.3 | 146 KB | ### | 100%
langcodes-3.3.0 | 156 KB | ### | 100%
cryptography-37.0.4 | 1.5 MB | ### | 100%
tqdm-4.64.1 | 82 KB | ### | 100%
shellingham-1.5.0 | 12 KB | ### | 100%
brotlipy-0.7.0 | 342 KB | ### | 100%
spacy-3.4.1 | 6.4 MB | ### | 100%
preshed-3.0.7 | 122 KB | ### | 100%
wasabi-0.10.0 | 26 KB | ### | 100%
python_abi-3.8 | 4 KB | ### | 100%
libzlib-1.2.12 | 65 KB | ### | 100%
smart_open-5.2.1 | 43 KB | ### | 100%
thinc-8.1.0 | 904 KB | ### | 100%
typer-0.4.2 | 45 KB | ### | 100%
pydantic-1.9.2 | 2.4 MB | ### | 100%
spacy-legacy-3.0.10 | 20 KB | ### | 100%
catalogue-2.0.8 | 32 KB | ### | 100%
murmurhash-1.0.8 | 27 KB | ### | 100%
libopenblas-0.3.21 | 10.1 MB | ### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate rasa_py38
#
# To deactivate an active environment, use
#
# $ conda deactivate
(base) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$
(base) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ conda activate rasa_py38
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ conda install ipykernel jupyterlab -c conda-forge
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.12.0
latest version: 4.14.0
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: /home/ashish/anaconda3/envs/rasa_py38
added / updated specs:
- ipykernel
- jupyterlab
The following packages will be downloaded:
package | build
---------------------------|-----------------
argon2-cffi-bindings-21.2.0| py38h0a891b7_2 34 KB conda-forge
debugpy-1.6.3 | py38hfa26641_0 2.0 MB conda-forge
importlib-metadata-4.11.4 | py38h578d9bd_0 33 KB conda-forge
ipykernel-6.15.3 | pyh210e3f2_0 99 KB conda-forge
ipython-8.5.0 | pyh41d4057_1 552 KB conda-forge
jsonschema-4.16.0 | pyhd8ed1ab_0 65 KB conda-forge
jupyter_core-4.11.1 | py38h578d9bd_0 81 KB conda-forge
jupyterlab-3.4.7 | pyhd8ed1ab_0 5.9 MB conda-forge
lxml-4.9.1 | py38h0a891b7_0 1.4 MB conda-forge
nbclient-0.6.8 | pyhd8ed1ab_0 65 KB conda-forge
nbformat-5.5.0 | pyhd8ed1ab_0 105 KB conda-forge
prompt-toolkit-3.0.31 | pyha770c72_0 254 KB conda-forge
psutil-5.9.2 | py38h0a891b7_0 346 KB conda-forge
pyrsistent-0.18.1 | py38h0a891b7_1 92 KB conda-forge
pyzmq-24.0.0 | py38hfc09fa9_0 499 KB conda-forge
terminado-0.15.0 | py38h578d9bd_0 28 KB conda-forge
tomli-2.0.1 | pyhd8ed1ab_0 16 KB conda-forge
tornado-6.2 | py38h0a891b7_0 653 KB conda-forge
traitlets-5.4.0 | pyhd8ed1ab_0 85 KB conda-forge
------------------------------------------------------------
Total: 12.3 MB
The following NEW packages will be INSTALLED:
anyio conda-forge/noarch::anyio-3.6.1-pyhd8ed1ab_1
argon2-cffi conda-forge/noarch::argon2-cffi-21.3.0-pyhd8ed1ab_0
argon2-cffi-bindi~ conda-forge/linux-64::argon2-cffi-bindings-21.2.0-py38h0a891b7_2
asttokens conda-forge/noarch::asttokens-2.0.8-pyhd8ed1ab_0
attrs conda-forge/noarch::attrs-22.1.0-pyh71513ae_1
babel conda-forge/noarch::babel-2.10.3-pyhd8ed1ab_0
backcall conda-forge/noarch::backcall-0.2.0-pyh9f0ad1d_0
backports conda-forge/noarch::backports-1.0-py_2
backports.functoo~ conda-forge/noarch::backports.functools_lru_cache-1.6.4-pyhd8ed1ab_0
beautifulsoup4 conda-forge/noarch::beautifulsoup4-4.11.1-pyha770c72_0
bleach conda-forge/noarch::bleach-5.0.1-pyhd8ed1ab_0
debugpy conda-forge/linux-64::debugpy-1.6.3-py38hfa26641_0
decorator conda-forge/noarch::decorator-5.1.1-pyhd8ed1ab_0
defusedxml conda-forge/noarch::defusedxml-0.7.1-pyhd8ed1ab_0
entrypoints conda-forge/noarch::entrypoints-0.4-pyhd8ed1ab_0
executing conda-forge/noarch::executing-1.0.0-pyhd8ed1ab_0
flit-core conda-forge/noarch::flit-core-3.7.1-pyhd8ed1ab_0
icu conda-forge/linux-64::icu-70.1-h27087fc_0
importlib-metadata conda-forge/linux-64::importlib-metadata-4.11.4-py38h578d9bd_0
importlib_metadata conda-forge/noarch::importlib_metadata-4.11.4-hd8ed1ab_0
importlib_resourc~ conda-forge/noarch::importlib_resources-5.9.0-pyhd8ed1ab_0
ipykernel conda-forge/noarch::ipykernel-6.15.3-pyh210e3f2_0
ipython conda-forge/noarch::ipython-8.5.0-pyh41d4057_1
ipython_genutils conda-forge/noarch::ipython_genutils-0.2.0-py_1
jedi conda-forge/noarch::jedi-0.18.1-pyhd8ed1ab_2
json5 conda-forge/noarch::json5-0.9.5-pyh9f0ad1d_0
jsonschema conda-forge/noarch::jsonschema-4.16.0-pyhd8ed1ab_0
jupyter_client conda-forge/noarch::jupyter_client-7.3.5-pyhd8ed1ab_0
jupyter_core conda-forge/linux-64::jupyter_core-4.11.1-py38h578d9bd_0
jupyter_server conda-forge/noarch::jupyter_server-1.18.1-pyhd8ed1ab_0
jupyterlab conda-forge/noarch::jupyterlab-3.4.7-pyhd8ed1ab_0
jupyterlab_pygmen~ conda-forge/noarch::jupyterlab_pygments-0.2.2-pyhd8ed1ab_0
jupyterlab_server conda-forge/noarch::jupyterlab_server-2.15.1-pyhd8ed1ab_0
libiconv conda-forge/linux-64::libiconv-1.16-h516909a_0
libsodium conda-forge/linux-64::libsodium-1.0.18-h36c2ea0_1
libxml2 conda-forge/linux-64::libxml2-2.9.14-h22db469_4
libxslt conda-forge/linux-64::libxslt-1.1.35-h8affb1d_0
lxml conda-forge/linux-64::lxml-4.9.1-py38h0a891b7_0
matplotlib-inline conda-forge/noarch::matplotlib-inline-0.1.6-pyhd8ed1ab_0
mistune conda-forge/noarch::mistune-2.0.4-pyhd8ed1ab_0
nbclassic conda-forge/noarch::nbclassic-0.4.3-pyhd8ed1ab_0
nbclient conda-forge/noarch::nbclient-0.6.8-pyhd8ed1ab_0
nbconvert conda-forge/noarch::nbconvert-7.0.0-pyhd8ed1ab_0
nbconvert-core conda-forge/noarch::nbconvert-core-7.0.0-pyhd8ed1ab_0
nbconvert-pandoc conda-forge/noarch::nbconvert-pandoc-7.0.0-pyhd8ed1ab_0
nbformat conda-forge/noarch::nbformat-5.5.0-pyhd8ed1ab_0
nest-asyncio conda-forge/noarch::nest-asyncio-1.5.5-pyhd8ed1ab_0
notebook conda-forge/noarch::notebook-6.4.12-pyha770c72_0
notebook-shim conda-forge/noarch::notebook-shim-0.1.0-pyhd8ed1ab_0
pandoc conda-forge/linux-64::pandoc-2.19.2-ha770c72_0
pandocfilters conda-forge/noarch::pandocfilters-1.5.0-pyhd8ed1ab_0
parso conda-forge/noarch::parso-0.8.3-pyhd8ed1ab_0
pexpect conda-forge/noarch::pexpect-4.8.0-pyh9f0ad1d_2
pickleshare conda-forge/noarch::pickleshare-0.7.5-py_1003
pkgutil-resolve-n~ conda-forge/noarch::pkgutil-resolve-name-1.3.10-pyhd8ed1ab_0
prometheus_client conda-forge/noarch::prometheus_client-0.14.1-pyhd8ed1ab_0
prompt-toolkit conda-forge/noarch::prompt-toolkit-3.0.31-pyha770c72_0
psutil conda-forge/linux-64::psutil-5.9.2-py38h0a891b7_0
ptyprocess conda-forge/noarch::ptyprocess-0.7.0-pyhd3deb0d_0
pure_eval conda-forge/noarch::pure_eval-0.2.2-pyhd8ed1ab_0
pygments conda-forge/noarch::pygments-2.13.0-pyhd8ed1ab_0
pyrsistent conda-forge/linux-64::pyrsistent-0.18.1-py38h0a891b7_1
python-dateutil conda-forge/noarch::python-dateutil-2.8.2-pyhd8ed1ab_0
python-fastjsonsc~ conda-forge/noarch::python-fastjsonschema-2.16.1-pyhd8ed1ab_0
pytz conda-forge/noarch::pytz-2022.2.1-pyhd8ed1ab_0
pyzmq conda-forge/linux-64::pyzmq-24.0.0-py38hfc09fa9_0
send2trash conda-forge/noarch::send2trash-1.8.0-pyhd8ed1ab_0
six conda-forge/noarch::six-1.16.0-pyh6c4a22f_0
sniffio conda-forge/noarch::sniffio-1.3.0-pyhd8ed1ab_0
soupsieve conda-forge/noarch::soupsieve-2.3.2.post1-pyhd8ed1ab_0
stack_data conda-forge/noarch::stack_data-0.5.0-pyhd8ed1ab_0
terminado conda-forge/linux-64::terminado-0.15.0-py38h578d9bd_0
tinycss2 conda-forge/noarch::tinycss2-1.1.1-pyhd8ed1ab_0
tomli conda-forge/noarch::tomli-2.0.1-pyhd8ed1ab_0
tornado conda-forge/linux-64::tornado-6.2-py38h0a891b7_0
traitlets conda-forge/noarch::traitlets-5.4.0-pyhd8ed1ab_0
wcwidth conda-forge/noarch::wcwidth-0.2.5-pyh9f0ad1d_2
webencodings conda-forge/noarch::webencodings-0.5.1-py_1
websocket-client conda-forge/noarch::websocket-client-1.4.1-pyhd8ed1ab_0
zeromq conda-forge/linux-64::zeromq-4.3.4-h9c3ff4c_1
zipp conda-forge/noarch::zipp-3.8.1-pyhd8ed1ab_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
traitlets-5.4.0 | 85 KB | ### | 100%
nbclient-0.6.8 | 65 KB | ### | 100%
ipykernel-6.15.3 | 99 KB | ### | 100%
tomli-2.0.1 | 16 KB | ### | 100%
ipython-8.5.0 | 552 KB | ### | 100%
jsonschema-4.16.0 | 65 KB | ### | 100%
jupyter_core-4.11.1 | 81 KB | ### | 100%
psutil-5.9.2 | 346 KB | ### | 100%
lxml-4.9.1 | 1.4 MB | ### | 100%
jupyterlab-3.4.7 | 5.9 MB | ### | 100%
terminado-0.15.0 | 28 KB | ### | 100%
nbformat-5.5.0 | 105 KB | ### | 100%
argon2-cffi-bindings | 34 KB | ### | 100%
debugpy-1.6.3 | 2.0 MB | ### | 100%
pyrsistent-0.18.1 | 92 KB | ### | 100%
importlib-metadata-4 | 33 KB | ### | 100%
pyzmq-24.0.0 | 499 KB | ### | 100%
tornado-6.2 | 653 KB | ### | 100%
prompt-toolkit-3.0.3 | 254 KB | ### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ python -m ipykernel install --user --name rasa_py38
Installed kernelspec rasa_py38 in /home/ashish/.local/share/jupyter/kernels/rasa_py38
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ pip3 install rasa --user
Collecting rasa
Downloading rasa-3.2.8-py3-none-any.whl (819 kB)
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Collecting dask==2022.2.0
Downloading dask-2022.2.0-py3-none-any.whl (1.1 MB)
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Collecting questionary<1.11.0,>=1.5.1
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Downloading twilio-6.50.1.tar.gz (457 kB)
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Preparing metadata (setup.py) ... done
Collecting regex<2022.5,>=2020.6
Downloading regex-2022.4.24-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (764 kB)
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Collecting slackclient<3.0.0,>=2.0.0
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Collecting aio-pika<9.0.0,>=6.7.1
Downloading aio-pika-8.2.1.tar.gz (42 kB)
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Preparing metadata (setup.py) ... done
Collecting python-engineio!=5.0.0,<6,>=4
Downloading python_engineio-4.3.4-py3-none-any.whl (52 kB)
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Collecting typing-extensions<4.0.0,>=3.7.4
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Requirement already satisfied: requests<3.0,>=2.23 in /home/ashish/anaconda3/envs/rasa_py38/lib/python3.8/site-packages (from rasa) (2.28.1)
Collecting rasa-sdk<3.3.0,>=3.2.0
Downloading rasa_sdk-3.2.1-py3-none-any.whl (41 kB)
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Collecting numpy<1.20.0,>=1.19.2
Downloading numpy-1.19.5-cp38-cp38-manylinux2010_x86_64.whl (14.9 MB)
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Collecting pytz<2022.0,>=2019.1
Downloading pytz-2021.3-py2.py3-none-any.whl (503 kB)
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Downloading google_auth-1.35.0-py2.py3-none-any.whl (152 kB)
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Collecting tensorflow-addons<0.16.0,>=0.15.0
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Preparing metadata (setup.py) ... done
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Building wheels for collected packages: aio-pika, mattermostwrapper, pyTelegramBotAPI, randomname, twilio, docopt, fire, future
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Created wheel for pyTelegramBotAPI: filename=pyTelegramBotAPI-4.7.0-py3-none-any.whl size=192810 sha256=388f48b689f2b9f8f5ab4253a9a1a0c0caba6a9869dacffe2f60077cab1a69ea
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Created wheel for docopt: filename=docopt-0.6.2-py2.py3-none-any.whl size=13706 sha256=659b1afa51fb6f8497374a399b9e1c36a423a1fead4fa7999ccd1440917d65c2
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Created wheel for fire: filename=fire-0.4.0-py2.py3-none-any.whl size=115926 sha256=ecb49e817db0442d3d91f76c263f923d22f9c308f2fb6b2f170a80b3ceef5ac0
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Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491058 sha256=cca1f0c0a3dfd4ada8c1534891271c9122c30f91097627fc9495f64eed6ae3d1
Stored in directory: /home/ashish/.cache/pip/wheels/8e/70/28/3d6ccd6e315f65f245da085482a2e1c7d14b90b30f239e2cf4
Successfully built aio-pika mattermostwrapper pyTelegramBotAPI randomname twilio docopt fire future
Installing collected packages: typing-extensions, types-cryptography, tensorflow-estimator, tensorboard-plugin-wit, sanic-routing, pytz, python-crfsuite, pyasn1, msgpack, libclang, keras, kafka-python, flatbuffers, docopt, chardet, wrapt, werkzeug, websockets, uvloop, ujson, tzlocal, typing-utils, typeguard, toolz, threadpoolctl, terminaltables, termcolor, tensorflow-io-gcs-filesystem, tensorboard-data-server, tarsafe, tabulate, sentry-sdk, ruamel.yaml.clib, rsa, regex, redis, pyyaml, python-engineio, pymongo, PyJWT, pydot, pyasn1-modules, psycopg2-binary, protobuf, prompt-toolkit, pillow, pamqp, packaging, oauthlib, numpy, networkx, multidict, locket, kiwisolver, jsonpickle, joblib, jmespath, humanfriendly, httptools, grpcio, greenlet, google-pasta, gast, future, fsspec, dnspython, cycler, colorhash, colorclass, cloudpickle, cachetools, bidict, attrs, async-timeout, astunparse, aiofiles, absl-py, yarl, twilio, tensorflow_hub, tensorflow-addons, SQLAlchemy, sklearn-crfsuite, scipy, sanic-jwt, sanic, ruamel.yaml, rocketchat_API, requests-toolbelt, requests-oauthlib, questionary, python-socketio, pyTelegramBotAPI, partd, opt-einsum, mattermostwrapper, matplotlib, markdown, keras-preprocessing, jsonschema, h5py, google-auth, fire, fbmessenger, coloredlogs, CacheControl, botocore, apscheduler, webexteamssdk, scikit-learn, sanic-cors, s3transfer, randomname, pykwalify, google-auth-oauthlib, dask, aiormq, aiohttp, tensorboard, slackclient, rasa-sdk, boto3, aio-pika, tensorflow, tensorflow-text, rasa
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WARNING: The script tensorboard is installed in '/home/ashish/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The scripts estimator_ckpt_converter, import_pb_to_tensorboard, saved_model_cli, tensorboard, tf_upgrade_v2, tflite_convert, toco and toco_from_protos are installed in '/home/ashish/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The script rasa is installed in '/home/ashish/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed CacheControl-0.12.11 PyJWT-2.5.0 SQLAlchemy-1.4.41 absl-py-0.13.0 aio-pika-8.2.1 aiofiles-22.1.0 aiohttp-3.7.4 aiormq-6.4.2 apscheduler-3.7.0 astunparse-1.6.3 async-timeout-3.0.1 attrs-21.2.0 bidict-0.22.0 boto3-1.24.75 botocore-1.27.75 cachetools-4.2.4 chardet-3.0.4 cloudpickle-1.6.0 colorclass-2.2.2 coloredlogs-15.0.1 colorhash-1.0.4 cycler-0.11.0 dask-2022.2.0 dnspython-1.16.0 docopt-0.6.2 fbmessenger-6.0.0 fire-0.4.0 flatbuffers-2.0.7 fsspec-2022.8.2 future-0.18.2 gast-0.4.0 google-auth-1.35.0 google-auth-oauthlib-0.4.6 google-pasta-0.2.0 greenlet-1.1.3 grpcio-1.49.0 h5py-3.7.0 httptools-0.5.0 humanfriendly-10.0 jmespath-1.0.1 joblib-1.0.1 jsonpickle-2.0.0 jsonschema-4.4.0 kafka-python-2.0.2 keras-2.7.0 keras-preprocessing-1.1.2 kiwisolver-1.4.4 libclang-14.0.6 locket-1.0.0 markdown-3.4.1 matplotlib-3.3.4 mattermostwrapper-2.2 msgpack-1.0.4 multidict-5.2.0 networkx-2.6.3 numpy-1.19.5 oauthlib-3.2.1 opt-einsum-3.3.0 packaging-20.9 pamqp-3.2.1 partd-1.3.0 pillow-9.2.0 prompt-toolkit-3.0.28 protobuf-3.19.5 psycopg2-binary-2.9.3 pyTelegramBotAPI-4.7.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pydot-1.4.2 pykwalify-1.8.0 pymongo-3.10.1 python-crfsuite-0.9.8 python-engineio-4.3.4 python-socketio-5.7.1 pytz-2021.3 pyyaml-6.0 questionary-1.10.0 randomname-0.1.5 rasa-3.2.8 rasa-sdk-3.2.1 redis-3.5.3 regex-2022.4.24 requests-oauthlib-1.3.1 requests-toolbelt-0.9.1 rocketchat_API-1.25.0 rsa-4.9 ruamel.yaml-0.16.13 ruamel.yaml.clib-0.2.6 s3transfer-0.6.0 sanic-21.12.2 sanic-cors-2.0.1 sanic-jwt-1.8.0 sanic-routing-0.7.2 scikit-learn-0.24.2 scipy-1.7.3 sentry-sdk-1.3.1 sklearn-crfsuite-0.3.6 slackclient-2.9.4 tabulate-0.8.10 tarsafe-0.0.3 tensorboard-2.10.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 tensorflow-2.7.4 tensorflow-addons-0.15.0 tensorflow-estimator-2.7.0 tensorflow-io-gcs-filesystem-0.27.0 tensorflow-text-2.7.3 tensorflow_hub-0.12.0 termcolor-2.0.1 terminaltables-3.1.10 threadpoolctl-3.1.0 toolz-0.12.0 twilio-6.50.1 typeguard-2.13.3 types-cryptography-3.3.23 typing-extensions-3.10.0.2 typing-utils-0.1.0 tzlocal-2.1 ujson-5.5.0 uvloop-0.17.0 webexteamssdk-1.6.1 websockets-10.3 werkzeug-2.2.2 wrapt-1.14.1 yarl-1.8.1
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ pip show rasa
Name: rasa
Version: 3.2.8
Summary: 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
Home-page: https://rasa.com
Author: Rasa Technologies GmbH
Author-email: hi@rasa.com
License: Apache-2.0
Location: /home/ashish/.local/lib/python3.8/site-packages
Requires: absl-py, aio-pika, aiohttp, apscheduler, attrs, boto3, CacheControl, cloudpickle, colorclass, coloredlogs, colorhash, dask, fbmessenger, google-auth, joblib, jsonpickle, jsonschema, kafka-python, matplotlib, mattermostwrapper, networkx, numpy, packaging, prompt-toolkit, psycopg2-binary, pydot, PyJWT, pykwalify, pymongo, pyTelegramBotAPI, python-dateutil, python-engineio, python-socketio, pytz, questionary, randomname, rasa-sdk, redis, regex, requests, rocketchat_API, ruamel.yaml, sanic, sanic-cors, sanic-jwt, sanic-routing, scikit-learn, scipy, sentry-sdk, setuptools, sklearn-crfsuite, slackclient, SQLAlchemy, tarsafe, tensorflow, tensorflow-addons, tensorflow-text, tensorflow_hub, terminaltables, tqdm, twilio, typing-extensions, typing-utils, ujson, webexteamssdk
Required-by:
Fix the PATH variable to enable RASA CLI
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ rasa
rasa: command not found
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ sudo nano ~/.bashrc
[sudo] password for ashish:
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ source ~/.bashrc
(base) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ conda activate rasa_py38
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ rasa
usage: rasa [-h] [--version] {init,run,shell,train,interactive,telemetry,test,visualize,data,export,x,evaluate} ...
Rasa command line interface. Rasa allows you to build your own conversational assistants 🤖. The 'rasa' command allows you to easily run most common commands like creating a new bot, training or
evaluating models.
positional arguments:
{init,run,shell,train,interactive,telemetry,test,visualize,data,export,x,evaluate}
Rasa commands
init Creates a new project, with example training data, actions, and config files.
run Starts a Rasa server with your trained model.
shell Loads your trained model and lets you talk to your assistant on the command line.
train Trains a Rasa model using your NLU data and stories.
interactive Starts an interactive learning session to create new training data for a Rasa model by chatting.
telemetry Configuration of Rasa Open Source telemetry reporting.
test Tests Rasa models using your test NLU data and stories.
visualize Visualize stories.
data Utils for the Rasa training files.
export Export conversations using an event broker.
evaluate Tools for evaluating models.
optional arguments:
-h, --help show this help message and exit
--version Print installed Rasa version
Steps toward: virtualenv, jupyter notebook, jupyterlab, ipykernel, SpaCy model (en_core_web)
$ pip install virtualenv
$ virtualenv ve1 --python=python3.8
INSTALL JUPYTER NOTEBOOK AND JUPYTERLAB FROM TERMINAL ON UBUNTU:
$ sudo apt install jupyter-core
$ pip install jupyter
$ pip install jupyterlab
(ve1) $ python3 -m notebook
[I 11:56:51.871 NotebookApp] Writing notebook server cookie secret to /home/ashi/.local/share/jupyter/runtime/notebook_cookie_secret
[I 11:56:52.175 NotebookApp] Serving notebooks from local directory: /home/ashi/Desktop/ws
[I 11:56:52.175 NotebookApp] Jupyter Notebook 6.4.4 is running at:
[I 11:56:52.175 NotebookApp] http://localhost:8888/?token=1b335a35516298724494a1ff32e309334d3a819a633719fc
[I 11:56:52.175 NotebookApp] or http://127.0.0.1:8888/?token=1b335a35516298724494a1ff32e309334d3a819a633719fc
[I 11:56:52.175 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 11:56:52.221 NotebookApp]
To access the notebook, open this file in a browser:
file:///home/ashi/.local/share/jupyter/runtime/nbserver-13598-open.html
Or copy and paste one of these URLs:
http://localhost:8888/?token=1b335a35516298724494a1ff32e309334d3a819a633719fc
or http://127.0.0.1:8888/?token=1b335a35516298724494a1ff32e309334d3a819a633719fc
/usr/lib/python3.9/json/encoder.py:257: UserWarning: date_default is deprecated since jupyter_client 7.0.0. Use jupyter_client.jsonutil.json_default.
return _iterencode(o, 0)
[W 11:56:59.140 NotebookApp] 404 GET /lab/tree/Desktop (127.0.0.1) 15.820000ms referer=None
### ### ### ### ###
(ve1) $ python3 -m jupyterlab
[I 2021-09-22 11:58:03.326 ServerApp] jupyterlab | extension was successfully linked.
[I 2021-09-22 11:58:03.357 LabApp] JupyterLab extension loaded from /home/ashi/.local/lib/python3.9/site-packages/jupyterlab
[I 2021-09-22 11:58:03.357 LabApp] JupyterLab application directory is /home/ashi/.local/share/jupyter/lab
[I 2021-09-22 11:58:03.360 ServerApp] jupyterlab | extension was successfully loaded.
[I 2021-09-22 11:58:03.361 ServerApp] The port 8888 is already in use, trying another port.
[I 2021-09-22 11:58:03.361 ServerApp] Serving notebooks from local directory: /home/ashi/Desktop/ws/ve1/bin
[I 2021-09-22 11:58:03.361 ServerApp] Jupyter Server 1.11.0 is running at:
[I 2021-09-22 11:58:03.362 ServerApp] http://localhost:8889/lab?token=9bcab4ac0599e2c3c086f1ace8376d6d8221fd074bdaf066
[I 2021-09-22 11:58:03.362 ServerApp] or http://127.0.0.1:8889/lab?token=9bcab4ac0599e2c3c086f1ace8376d6d8221fd074bdaf066
[I 2021-09-22 11:58:03.362 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[W 2021-09-22 11:58:03.371 ServerApp] No web browser found: could not locate runnable browser.
[C 2021-09-22 11:58:03.371 ServerApp]
To access the server, open this file in a browser:
file:///home/ashi/.local/share/jupyter/runtime/jpserver-14003-open.html
Or copy and paste one of these URLs:
http://localhost:8889/lab?token=9bcab4ac0599e2c3c086f1ace8376d6d8221fd074bdaf066
or http://127.0.0.1:8889/lab?token=9bcab4ac0599e2c3c086f1ace8376d6d8221fd074bdaf066
[W 2021-09-22 11:58:44.209 LabApp] Could not determine jupyterlab build status without nodejs
[W 2021-09-22 11:58:47.988 ServerApp] 404 GET /api/contents/Desktop?1632292127985 (127.0.0.1): No such file or directory: Desktop
[W 2021-09-22 11:58:47.988 ServerApp] No such file or directory: Desktop
[W 2021-09-22 11:58:47.988 ServerApp] 404 GET /api/contents/Desktop?1632292127985 (127.0.0.1) 1.34ms referer=http://127.0.0.1:8889/lab
### ### ### ### ###
$ pip install ipykernel
(ve1) ashi@ashi-VirtualBox:/home/ashi/Desktop/ws$ python3 -m ipykernel install --name ve1
[Errno 13] Permission denied: '/usr/local/share/jupyter'
(ve1) ashi@ashi-VirtualBox:/home/ashi/Desktop/ws$ python3 -m ipykernel install --user --name ve1
Installed kernelspec ve1 in /home/ashi/.local/share/jupyter/kernels/ve1
### ### ### ### ###
(ve1) ashi@ashi-VirtualBox:/home/ashi/Desktop/ws$ python3 -m spacy download en_core_web_sm
Collecting en-core-web-sm==3.1.0
WARNING: Retrying (Retry(total=4.... connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1129)'))': /explosion/spacy-models/releases/download/en_core_web_sm-3.1.0/en_core_web_sm-3.1.0-py3-none-any.whl
ERROR: Could not install packages due to an EnvironmentError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /explosion/spacy-models/releases/download/en_core_web_sm-3.1.0/en_core_web_sm-3.1.0-py3-none-any.whl (Caused by SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1129)')))
We download the wheel file from the GitHub link and install as follows
$ pip install en_core_web_sm-3.1.0-py3-none-any.whl
### ### ### ### ###
First time Anaconda setup is done using the following commands:
1.
~/Downloads$ ls -l
total 712608
-rwxrwxrwx 1 ashi ashi 570853747 Sep 21 12:43 Anaconda3-2021.05-Linux-x86_64.sh
2.
$ chmod 777 Anaconda3-2021.05-Linux-x86_64.sh
3.
~/Downloads$ ./Anaconda3-2021.05-Linux-x86_64.sh
4.
$ cd ~/anaconda3/bin
5.
~/anaconda3/bin$ ./conda init bash
no change /home/ashi/anaconda3/condabin/conda
no change /home/ashi/anaconda3/bin/conda
no change /home/ashi/anaconda3/bin/conda-env
no change /home/ashi/anaconda3/bin/activate
no change /home/ashi/anaconda3/bin/deactivate
no change /home/ashi/anaconda3/etc/profile.d/conda.sh
no change /home/ashi/anaconda3/etc/fish/conf.d/conda.fish
no change /home/ashi/anaconda3/shell/condabin/Conda.psm1
no change /home/ashi/anaconda3/shell/condabin/conda-hook.ps1
no change /home/ashi/anaconda3/lib/python3.8/site-packages/xontrib/conda.xsh
no change /home/ashi/anaconda3/etc/profile.d/conda.csh
modified /home/ashi/.bashrc
==> For changes to take effect, close and re-open your current shell. <== CHANGES AUTOMATICALLY PUSHED IN THE FILE: /home/ashi/.bashrc
# >>> conda initialize >>>
# !! Contents within this block are managed by 'conda init' !!
__conda_setup="$('/home/ashi/anaconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)"
if [ $? -eq 0 ]; then
eval "$__conda_setup"
else
if [ -f "/home/ashi/anaconda3/etc/profile.d/conda.sh" ]; then
. "/home/ashi/anaconda3/etc/profile.d/conda.sh"
else
export PATH="/home/ashi/anaconda3/bin:$PATH"
fi
fi
unset __conda_setup
# <<< conda initialize <<<
~/anaconda3/bin$ ./conda activate base
CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'.
To initialize your shell, run
$ conda init <SHELL_NAME>
Currently supported shells are:
- bash
- fish
- tcsh
- xonsh
- zsh
- powershell
See 'conda init --help' for more information and options.
IMPORTANT: You may need to close and restart your shell after running 'conda init'.
6.
~/anaconda3/bin$ bash
To run a command as administrator (user "root"), use "sudo <command>".
See "man sudo_root" for details.
(base) ~/anaconda3/bin$Tags: Technology,Anaconda,Python,
Syntax errors, also known as parsing errors, are perhaps the most common kind of complaint you get while you are still learning Python:
>>>
>>> while True print('Hello world')
File "<stdin>", line 1
while True print('Hello world')
^
SyntaxError: invalid syntax
The parser repeats the offending line and displays a little ‘arrow’ pointing at the earliest point in the line where the error was detected. The error is caused by (or at least detected at) the token preceding the arrow: in the example, the error is detected at the function print(), since a colon (':') is missing before it. File name and line number are printed so you know where to look in case the input came from a script.
An example of name error and package resolution
(base) C:\Users\Ashish Jain\OneDrive\Desktop>python
Python 3.7.1 (default, Dec 10 2018, 22:54:23) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> re
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 're' is not defined
>>> import re
>>> re
<module 're' from 'E:\\programfiles\\Anaconda3\\lib\\re.py'>
>>> exit()
8.2. Exceptions
Even if a statement or expression is syntactically correct, it may cause an error when an attempt is made to execute it. Errors detected during execution are called exceptions and are not unconditionally fatal: you will soon learn how to handle them in Python programs. Most exceptions are not handled by programs, however, and result in error messages as shown here:
>>>
>>> 10 * (1/0)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ZeroDivisionError: division by zero
>>> 4 + spam*3
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'spam' is not defined
>>> '2' + 2
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: Can't convert 'int' object to str implicitly
The last line of the error message indicates what happened. Exceptions come in different types, and the type is printed as part of the message: the types in the example are ZeroDivisionError, NameError and TypeError. The string printed as the exception type is the name of the built-in exception that occurred. This is true for all built-in exceptions, but need not be true for user-defined exceptions (although it is a useful convention). Standard exception names are built-in identifiers (not reserved keywords).
The rest of the line provides detail based on the type of exception and what caused it.
The preceding part of the error message shows the context where the exception occurred, in the form of a stack traceback. In general it contains a stack traceback listing source lines; however, it will not display lines read from standard input.
Built-in Exceptions lists the built-in exceptions and their meanings.
8.3. Handling Exceptions
It is possible to write programs that handle selected exceptions. Look at the following example, which asks the user for input until a valid integer has been entered, but allows the user to interrupt the program (using Control-C or whatever the operating system supports); note that a user-generated interruption is signalled by raising the KeyboardInterrupt exception.
>>>
>>> while True:
... try:
... x = int(input("Please enter a number: "))
... break
... except ValueError:
... print("Oops! That was no valid number. Try again...")
...
The try statement works as follows.
1. First, the try clause (the statement(s) between the try and except keywords) is executed.
2. If no exception occurs, the except clause is skipped and execution of the try statement is finished.
3. If an exception occurs during execution of the try clause, the rest of the clause is skipped. Then if its type matches the exception named after the except keyword, the except clause is executed, and then execution continues after the try statement.
4. If an exception occurs which does not match the exception named in the except clause, it is passed on to outer try statements; if no handler is found, it is an unhandled exception and execution stops with a message as shown above.
~ ~ ~
A try statement may have more than one except clause, to specify handlers for different exceptions. At most one handler will be executed. Handlers only handle exceptions that occur in the corresponding try clause, not in other handlers of the same try statement. An except clause may name multiple exceptions as a parenthesized tuple, for example:
... except (RuntimeError, TypeError, NameError):
... pass
A class in an except clause is compatible with an exception if it is the same class or a base class thereof (but not the other way around — an except clause listing a derived class is not compatible with a base class). For example, the following code will print B, C, D in that order:
class B(Exception):
pass
class C(B):
pass
class D(C):
pass
for cls in [B, C, D]:
try:
raise cls()
except D:
print("D")
except C:
print("C")
except B:
print("B")
OUT:
(base) C:\Users\Ashish Jain\OneDrive\Desktop>python script2.py
B
C
D
~ ~ ~
class B(Exception):
pass
class C(B):
pass
class D(C):
pass
for cls in [B, C, D]:
try:
raise cls()
except B:
print("B")
except C:
print("C")
except D:
print("D")
OUT:
(base) C:\Users\Ashish Jain\OneDrive\Desktop>python script3.py
B
B
B
~ ~ ~
Another example "Division By Zero"
#Handling run-time error: division by zero
def this_fails():
x = 1/0
try:
this_fails()
except ZeroDivisionError as err:
print('Handling run-time error:', err)
Modified version:
def division(a, b):
print("a:", a)
print("b:", b)
if b == 0:
raise Exception
return a/b
try:
print("Success:", division(5, 5))
division(5, 0)
except ZeroDivisionError as err:
print('Handling run-time error:', err)
OUT:
(base) C:\Users\Ashish Jain\OneDrive\Desktop>python script5.py
a: 5
b: 5
Success: 1.0
a: 5
b: 0
Traceback (most recent call last):
File "script5.py", line 10, in <module>
division(5, 0)
File "script5.py", line 5, in division
raise Exception
Exception
# Defining Clean-up Actions
If a finally clause is present, the finally clause will execute as the last task before the try statement completes. The finally clause runs whether or not the try statement produces an exception. The following points discuss more complex cases when an exception occurs:
1. If an exception occurs during execution of the try clause, the exception may be handled by an except clause. If the exception is not handled by an except clause, the exception is re-raised after the finally clause has been executed.
2. An exception could occur during execution of an except or else clause. Again, the exception is re-raised after the finally clause has been executed.
3. If the finally clause executes a break, continue or return statement, exceptions are not re-raised.
4. If the try statement reaches a break, continue or return statement, the finally clause will execute just prior to the break, continue or return statement’s execution.
5. If a finally clause includes a return statement, the returned value will be the one from the finally clause’s return statement, not the value from the try clause’s return statement.
For example:
We had covered Strings in our previous session, which can be found here:
Python (2) String and related packages [20210523]
In this post, we are covering the Python package "re", which stands for RegEx or Regular Expressions.
First step towards working with "RegEx" is by importing the "re" package. Without importing "re", package Python would not know what you are mean by "re".
(base) C:\Users\Ashish Jain>python
Python 3.7.1 (default, Dec 10 2018, 22:54:23) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> reTraceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 're' is not defined>>> import re
>>> re<module 're' from 'E:\\programfiles\\Anaconda3\\lib\\re.py'>
>>>RegEx Functions At a High Level
The re module offers a set of functions that allows us to search a string for a match:
findall : Returns a list containing all matches
search : Returns a Match object if there is a match anywhere in the string
split : Returns a list where the string has been split at each match
sub : Replaces one or many matches with a string
A Regular Expression composed using following parts: Metacharacters, Special Sequences, and Sets.
Metacharacters: These are the characters with a special meaning
Character: Description: Example
[] A set of characters "[a-m]"
\ Signals a special sequence (can also be used to escape special characters): "\d"
. Any character (except newline character): "he..o"
^ Starts with "^hello"
$ Ends with: "world$"
* Zero or more occurrences: "aix*"
+ One or more occurrences: "aix+"
? Zero or one occurences: "r.?"
{} Exactly the specified number of occurrences "al{2}"
| Either or "falls|stays"
() Capture and group
Special Sequences: It is a \ followed by one of the characters in the list below, and has a special meaning:
Character: Description: Example
\A Returns a match if the specified characters are at the beginning of the string "\AThe"
\b Returns a match where the specified characters are at the beginning or at the end of a word
(the "r" in the beginning is making sure that the string is being treated as a "raw string") r"\bain"
r"ain\b"
\B Returns a match where the specified characters are present, but NOT at the beginning (or at the end) of a word
(the "r" in the beginning is making sure that the string is being treated as a "raw string") r"\Bain"
r"ain\B"
\d Returns a match where the string contains digits (numbers from 0-9) "\d"
\D Returns a match where the string DOES NOT contain digits "\D"
\s Returns a match where the string contains a white space character "\s"
\S Returns a match where the string DOES NOT contain a white space character "\S"
\w Returns a match where the string contains any word characters (characters from a to Z, digits from 0-9, and the underscore _ character) "\w"
\W Returns a match where the string DOES NOT contain any word characters "\W"
\Z Returns a match if the specified characters are at the end of the string
Sets: A set is a set of characters inside a pair of square brackets [] with a special meaning:
Set: Description
[arn] Returns a match where one of the specified characters (a, r, or n) are present
[a-n] Returns a match for any lower case character, alphabetically between a and n
[^arn] Returns a match for any character EXCEPT a, r, and n
[0123] Returns a match where any of the specified digits (0, 1, 2, or 3) are present
[0-9] Returns a match for any digit between 0 and 9
[0-5][0-9] Returns a match for any two-digit numbers from 00 and 59
[a-zA-Z] Returns a match for any character alphabetically between a and z, lower case OR upper case
[+] In sets, +, *, ., |, (), $,{} has no special meaning, so [+] means: return a match for any + character in the string
The findall() Function
The findall() function returns a list containing all matches.
The list contains the matches in the order they are found.
import re
txt = "The rain in Spain"
x = re.findall("ai", txt)
print(x)['ai', 'ai']txt = "The rain in Spain detected by Mr Jain."
x = re.findall("ai", txt)
print(x)['ai', 'ai', 'ai']txt = "The rain in Spain detected by Mr Jain."
x = re.findall("r.?", txt)
print(x)
".?" means zero or one occurence of any character, so we get the characters 'a' and ' '.
['ra', 'r ']txt = "The rain in Spain detected by Mr Jain."
x = re.findall("r\w?", txt)
print(x)
"\w?" means zero or one occurence of any word character, so we get the characters 'ra' and only 'r'.
['ra', 'r']
If no matches are found, an empty list is returned.
import re
txt = "The rain in Spain"
x = re.findall("Portugal", txt)
print(x)The search() Function
The search() function searches the string for a match, and returns a Match object if there is a match.
If there is more than one match, only the first occurrence of the match will be returned.
import re
txt = "The rain in Spain"
x = re.search("\s", txt)
print("The first white-space character is located in position:", x.start()) The first white-space character is located in position: 3
- - -
txt = "The rain in Spain"
x = re.search("\s", txt)
print(x) <re.Match object; span=(3, 4), match=' '>
If no matches are found, the value None is returned.
import re
txt = "The rain in Spain"
x = re.search("Portugal", txt)
print(x)The split() Function
The split() function returns a list where the string has been split at each match:
import re
txt = "The rain in Spain"
x = re.split("\s", txt)
print(x)['The', 'rain', 'in', 'Spain']
You can control the number of occurrences by specifying the maxsplit parameter:
Split the string only at the first occurrence:
import re
txt = "The rain in Spain"
x = re.split("\s", txt, maxsplit = 1)
print(x)
x = re.split("\s", txt, maxsplit = 2)
print(x)['The', 'rain in Spain']
['The', 'rain', 'in Spain']The sub() Function
The sub() function replaces the matches with the text of your choice:
import re
txt = "The rain in Spain"
x = re.sub("\s", "9", txt)
print(x)The9rain9in9Spain
You can control the number of replacements by specifying the count parameter:
Replace the first 2 occurrences:
import re
txt = "The rain in Spain"
x = re.sub("\s", "9", txt, count = 1)
print(x)
x = re.sub("\s", "9", txt, count = 2)
print(x)The9rain in Spain
The9rain9in SpainMatch Object
A Match Object is an object containing information about the search and the result.
Note: If there is no match, the value None will be returned, instead of the Match Object.
Do a search that will return a Match Object:
import re
txt = "The rain in Spain"
x = re.search("ai", txt)
print(x) #this will print an objectPrint all the methods or attributes on Match object:print(x.__dir__())['__repr__',
'__getitem__',
'group',
'start',
'end',
'span',
'groups',
'groupdict',
'expand',
'__copy__',
'__deepcopy__',
'__class_getitem__',
'string',
're',
'pos',
'endpos',
'lastindex',
'lastgroup',
'regs',
'__doc__',
'__hash__',
'__str__',
'__getattribute__',
'__setattr__',
'__delattr__',
'__lt__',
'__le__',
'__eq__',
'__ne__',
'__gt__',
'__ge__',
'__init__',
'__new__',
'__reduce_ex__',
'__reduce__',
'__subclasshook__',
'__init_subclass__',
'__format__',
'__sizeof__',
'__dir__',
'__class__']The Match object has properties and methods used to retrieve information about the search, and the result:
.span() returns a tuple containing the start-, and end positions of the match.
.string returns the string passed into the function
.group() returns the part of the string where there was a match
txt = "The rain in Spain"
x = re.search(r"\bS\w+", txt)
print(x)
print("span:", x.span())
print("string:", x.string)
print("group:", x.group())
print("start:", x.start())<re.Match object; span=(12, 17), match='Spain'>
span: (12, 17)
string: The rain in Spain
group: Spain
start: 12txt = "Mr Jain enjoyed the rain in Spain."
x = re.search(r"\bS\w+", txt)
print(x)
print("span:", x.span())
print("string:", x.string)
print("group:", x.group())
print("start:", x.start())
print("end:", x.end())<re.Match object; span=(28, 33), match='Spain'>
span: (28, 33)
string: Mr Jain enjoyed the rain in Spain.
group: Spain
start: 28
end: 33
The "finditer()" function
>>> import re
>>> s = "Mr Jain enjoyed the rain in Spain with Ms Jain."
>>> re.finditer('ai', s)
<callable_iterator object at 0x000001899B48A9B0>
>>>
>>> fi = re.finditer('ai', s)
>>> for i in fi:
... print(i.span())
...(4, 6)
(21, 23)
(30, 32)
(43, 45)
>>>Tags: Technology,Python,Anaconda,Natural Language Processing,
OSError: [WinError 5] Access is denied: When Trying to Install Rasa Without "--user" Argument
(rasa_env) ~>pip install rasaCollecting rasa
...
ERROR: Could not install packages due to an OSError: [WinError 5] Access is denied: 'e:\\programfiles\\anaconda3\\envs\\rasa_env\\scripts\\tqdm.exe'
Consider using the `--user` option or check the permissions.
(rasa_env) ~>
=== === === === === === === === === ===
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour can be source of dependency conflicts.
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
snorkel 0.9.7 requires networkx<2.4,>=2.2, but you have networkx 2.5.1 which is incompatible.
snorkel 0.9.7 requires tensorboard<2.0.0,>=1.14.0, but you have tensorboard 2.5.0 which is incompatible.
Successfully installed aiofiles-0.7.0 aiohttp-3.7.4 async-timeout-3.0.1 attrs-20.3.0 boto3-1.17.84 botocore-1.20.84 cachetools-4.2.2 chardet-3.0.4 colorama-0.4.4 cryptography-3.4.7 google-auth-1.30.1 google-auth-oauthlib-0.4.4 h11-0.9.0 httpcore-0.11.1 httptools-0.2.0 httpx-0.15.4 humanfriendly-9.1 idna-2.10 jmespath-0.10.0 multidict-5.1.0 numpy-1.18.5 oauthlib-3.1.0 packaging-20.9 pamqp-2.3.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pyparsing-2.4.7 pyreadline-2.1 requests-2.25.1 requests-oauthlib-1.3.0 rfc3986-1.5.0 rsa-4.7.2 ruamel.yaml.clib-0.2.2 s3transfer-0.4.2 sanic-20.12.3 sanic-plugins-framework-0.9.5 sniffio-1.2.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.0 typeguard-2.12.0 typing-extensions-3.10.0.0 tzlocal-2.1 urllib3-1.26.5 wcwidth-0.2.5 websockets-8.1 wrapt-1.12.1 yarl-1.6.3
(snorkel_env) C:\Users\Ashish Jain>pip show rasa
Name: rasa
Version: 2.6.3
Summary: 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
Home-page: https://rasa.com
Author: Rasa Technologies GmbH
Author-email: hi@rasa.com
License: Apache-2.0
Location: c:\users\ashish jain\appdata\roaming\python\python38\site-packages
Requires: python-socketio, async-generator, tqdm, requests, matplotlib, sentry-sdk, sklearn-crfsuite, scikit-learn, twilio, pytz, ruamel.yaml, jsonpickle, mattermostwrapper, prompt-toolkit, cloudpickle, networkx, packaging, rocketchat-API, colorhash, tensorflow, fbmessenger, psycopg2-binary, pymongo, PyJWT, rasa-sdk, tensorflow-addons, regex, python-engineio, webexteamssdk, oauth2client, pydot, python-dateutil, sanic-jwt, tensorflow-hub, joblib, pyTelegramBotAPI, boto3, pykwalify, tensorflow-estimator, apscheduler, attrs, kafka-python, redis, sanic, tensorflow-probability, SQLAlchemy, questionary, ujson, aio-pika, terminaltables, scipy, colorama, colorclass, sanic-cors, absl-py, coloredlogs, jsonschema, numpy, setuptools, slackclient, aiohttp
Required-by:
(snorkel_env) C:\Users\Ashish Jain>pip show snorkel
Name: snorkel
Version: 0.9.7
Summary: A system for quickly generating training data with weak supervision
Home-page: https://github.com/snorkel-team/snorkel
Author: None
Author-email: None
License: Apache License 2.0
Location: e:\anaconda3\envs\snorkel_env\lib\site-packages
Requires: numpy, networkx, scikit-learn, tqdm, torch, munkres, scipy, tensorboard, pandas
Required-by:
(snorkel_env) C:\Users\Ashish Jain>rasa
usage: rasa [-h] [--version] {init,run,shell,train,interactive,telemetry,test,visualize,data,export,x} ...
Rasa command line interface. Rasa allows you to build your own conversational assistants 🤖. The 'rasa' command allows you to easily run most common commands like creating
a new bot, training or evaluating models.
positional arguments:
{init,run,shell,train,interactive,telemetry,test,visualize,data,export,x}
Rasa commands
init Creates a new project, with example training data, actions, and config files.
run Starts a Rasa server with your trained model.
shell Loads your trained model and lets you talk to your assistant on the command line.
train Trains a Rasa model using your NLU data and stories.
interactive Starts an interactive learning session to create new training data for a Rasa model by chatting.
telemetry Configuration of Rasa Open Source telemetry reporting.
test Tests Rasa models using your test NLU data and stories.
visualize Visualize stories.
data Utils for the Rasa training files.
export Export conversations using an event broker.
optional arguments:
-h, --help show this help message and exit
--version Print installed Rasa version
Trying 'rasa init' in 'snorkel_env'.
(snorkel_env) ~\test>rasa init
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]
Created project directory at '~\test'.
Finished creating project structure.
? Do you want to train an initial model? 💪🏽 No
No problem 👍🏼. You can also train a model later by going to the project directory and running 'rasa train'.
(snorkel_env) ~\test>dir /b
actions
config.yml
credentials.yml
data
domain.yml
endpoints.yml
tests
(snorkel_env) ~\test>
=== === === === === === === === === ===
(rasa_env) ~>pip install snorkel
WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages)
WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages)
Collecting snorkel
Downloading snorkel-0.9.7-py3-none-any.whl (145 kB)
|█| 145 kB 819 kB/s
Collecting torch<2.0.0,>=1.2.0
Downloading torch-1.8.1-cp38-cp38-win_amd64.whl (190.5 MB)
|█| 190.5 MB 27 kB/s
Requirement already satisfied: numpy<1.20.0,>=1.16.5 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from snorkel) (1.18.5)
Collecting tensorboard<2.0.0,>=1.14.0
Downloading tensorboard-1.15.0-py3-none-any.whl (3.8 MB)
|█| 3.8 MB 3.3 MB/s
Collecting munkres>=1.0.6
Downloading munkres-1.1.4-py2.py3-none-any.whl (7.0 kB)
Collecting pandas<2.0.0,>=1.0.0
Downloading pandas-1.2.4-cp38-cp38-win_amd64.whl (9.3 MB)
|█| 9.3 MB 1.3 MB/s
Requirement already satisfied: scipy<2.0.0,>=1.2.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from snorkel) (1.6.3)
Requirement already satisfied: scikit-learn<0.25.0,>=0.20.2 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from snorkel) (0.24.2)
Collecting networkx<2.4,>=2.2
Downloading networkx-2.3.zip (1.7 MB)
|█| 1.7 MB 6.4 MB/s
Requirement already satisfied: tqdm<5.0.0,>=4.33.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from snorkel) (4.59.0)
Requirement already satisfied: decorator>=4.3.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from networkx<2.4,>=2.2->snorkel) (4.4.2)
Requirement already satisfied: python-dateutil>=2.7.3 in e:\anaconda3\envs\rasa_env\lib\site-packages (from pandas<2.0.0,>=1.0.0->snorkel) (2.8.1)
Requirement already satisfied: pytz>=2017.3 in e:\anaconda3\envs\rasa_env\lib\site-packages (from pandas<2.0.0,>=1.0.0->snorkel) (2021.1)
Requirement already satisfied: six>=1.5 in e:\anaconda3\envs\rasa_env\lib\site-packages (from python-dateutil>=2.7.3->pandas<2.0.0,>=1.0.0->snorkel) (1.16.0)
Requirement already satisfied: joblib>=0.11 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from scikit-learn<0.25.0,>=0.20.2->snorkel) (0.15.1)
Requirement already satisfied: threadpoolctl>=2.0.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from scikit-learn<0.25.0,>=0.20.2->snorkel) (2.1.0)
Requirement already satisfied: absl-py>=0.4 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (0.12.0)
Requirement already satisfied: werkzeug>=0.11.15 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (2.0.1)
Requirement already satisfied: grpcio>=1.6.3 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (1.38.0)
Requirement already satisfied: markdown>=2.6.8 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (3.3.4)
Requirement already satisfied: wheel>=0.26 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (0.36.2)
Requirement already satisfied: setuptools>=41.0.0 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (49.6.0.post20210108)
Requirement already satisfied: protobuf>=3.6.0 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (3.17.1)
Requirement already satisfied: typing-extensions in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from torch<2.0.0,>=1.2.0->snorkel) (3.10.0.0)
Building wheels for collected packages: networkx
Building wheel for networkx (setup.py) ... done
Created wheel for networkx: filename=networkx-2.3-py2.py3-none-any.whl size=1555990 sha256=9c94f5d6e380e2cb594911807f48a2c5c51c956adf73361417786843daed01ba
Stored in directory: c:\users\ashish jain\appdata\local\pip\cache\wheels\ff\62\9e\0ed2d25fd4f5761e2d19568cda0c32716556dfa682e65ecf64
Successfully built networkx
WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages)
Installing collected packages: torch, tensorboard, pandas, networkx, munkres, snorkel
Attempting uninstall: tensorboard
Found existing installation: tensorboard 2.5.0
Uninstalling tensorboard-2.5.0:
Successfully uninstalled tensorboard-2.5.0
Attempting uninstall: networkx
Found existing installation: networkx 2.5.1
Uninstalling networkx-2.5.1:
Successfully uninstalled networkx-2.5.1
WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages)
WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages)
WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages)
WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages)
WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages)
WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages)
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow 2.3.2 requires tensorboard<3,>=2.3.0, but you have tensorboard 1.15.0 which is incompatible.
rasa 2.6.3 requires networkx<2.6,>=2.4, but you have networkx 2.3 which is incompatible.
Successfully installed munkres-1.1.4 networkx-2.3 pandas-1.2.4 snorkel-0.9.7 tensorboard-1.15.0 torch-1.8.1
WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages)
WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages)
(rasa_env) ~>
(rasa_env) ~>pip show rasa
Name: rasa
Version: 2.6.3
Summary: 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
Home-page: https://rasa.com
Author: Rasa Technologies GmbH
Author-email: hi@rasa.com
License: Apache-2.0
Location: c:\users\ashish jain\appdata\roaming\python\python38\site-packages
Requires: python-engineio, pymongo, colorama, webexteamssdk, attrs, matplotlib, aio-pika, oauth2client, setuptools, tensorflow-probability, terminaltables, sentry-sdk, ruamel.yaml, pykwalify, pydot, sklearn-crfsuite, tensorflow-hub, cloudpickle, sanic-jwt, questionary, sanic, python-dateutil, colorhash, networkx, jsonschema, boto3, redis, sanic-cors, aiohttp, coloredlogs, prompt-toolkit, twilio, kafka-python, rasa-sdk, jsonpickle, async-generator, psycopg2-binary, packaging, mattermostwrapper, colorclass, regex, slackclient, scipy, SQLAlchemy, scikit-learn, apscheduler, joblib, requests, pytz, absl-py, fbmessenger, tqdm, PyJWT, tensorflow-addons, ujson, python-socketio, rocketchat-API, numpy, tensorflow, pyTelegramBotAPI, tensorflow-estimator
Required-by:
(rasa_env) ~>pip show snorkel
Name: snorkel
Version: 0.9.7
Summary: A system for quickly generating training data with weak supervision
Home-page: https://github.com/snorkel-team/snorkel
Author: None
Author-email: None
License: Apache License 2.0
Location: e:\anaconda3\envs\rasa_env\lib\site-packages
Requires: scikit-learn, tqdm, pandas, torch, scipy, tensorboard, networkx, munkres, numpy
Required-by:
(rasa_env) ~>rasa
'rasa' is not recognized as an internal or external command,
operable program or batch file.
(rasa_env) ~>rasa init
'rasa' is not recognized as an internal or external command,
operable program or batch file.
=== === === === === === === === === ===
(snorkel_env) ~\ws>rasa init
┌────────────────────────────────────────────────────────────────────────────────┐
│ Rasa Open Source reports anonymous usage telemetry to help improve the product │
│ for all its users. │
│ │
│ If you'd like to opt-out, you can use `rasa telemetry disable`. │
│ To learn more, check out https://rasa.com/docs/rasa/telemetry/telemetry. │
└────────────────────────────────────────────────────────────────────────────────┘
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]
Created project directory at '~\ws'.
Finished creating project structure.
? Do you want to train an initial model? 💪🏽 No
No problem 👍🏼. You can also train a model later by going to the project directory and running 'rasa train'.
(snorkel_env) ~\ws>dir /b
actions
config.yml
credentials.yml
data
domain.yml
endpoints.yml
tests
=== === === === === === === === === ===
Checking 'snorkel' installation in both the environments (snorkel_env and rasa_env)
(snorkel_env) ~\test>python
Python 3.8.10 | packaged by conda-forge | (default, May 11 2021, 06:25:23) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import snorkel
>>> exit()
(snorkel_env) ~\test>conda deactivate
(base) ~\test>conda activate rasa_env
(rasa_env) ~\test>python
Python 3.8.10 | packaged by conda-forge | (default, May 11 2021, 06:25:23) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import snorkel
>>> exit()
