Contents of env.yml
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 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Stored in directory: /home/ashish/.cache/pip/wheels/27/ab/59/a3f84ec019a2a87ad812a2dc15945f763e5684aecfb059d9ec Building wheel for mattermostwrapper (setup.py) ... done Created wheel for mattermostwrapper: filename=mattermostwrapper-2.2-py3-none-any.whl size=2448 sha256=671230d2ec1c13e72ee8b2f53cd09e8a800d5db87dc166a6c2eb6ac019a89a7c Stored in directory: /home/ashish/.cache/pip/wheels/1a/d3/89/63aef88b581e7acc2c48812e6160a2bae57b6ef180f6e1f293 Building wheel for pyTelegramBotAPI (setup.py) ... done Created wheel for pyTelegramBotAPI: filename=pyTelegramBotAPI-4.7.0-py3-none-any.whl size=192810 sha256=388f48b689f2b9f8f5ab4253a9a1a0c0caba6a9869dacffe2f60077cab1a69ea Stored in directory: /home/ashish/.cache/pip/wheels/f7/29/1d/113c046ac93c2896159bb2c33673efe140b3642f21a06c4ac5 Building wheel for randomname (setup.py) ... done Created wheel for randomname: filename=randomname-0.1.5-py3-none-any.whl size=58808 sha256=b4ef46a33c316f83d0947ae923af542f7963176dffcd821789ce9af5b5d6393e Stored in directory: /home/ashish/.cache/pip/wheels/46/0a/9d/32f2d10d4fae6ddfbdeb504d949ccd70d666382a277e7c1bd5 Building wheel for twilio (setup.py) ... done Created wheel for twilio: filename=twilio-6.50.1-py2.py3-none-any.whl size=1208682 sha256=bc11ed67ebb0cd32e27e90ea4db4232206f01c9c0ed5909773b04b4b9e20391d Stored in directory: /home/ashish/.cache/pip/wheels/85/db/cc/c5c9ef20439073ba2a5403f5ce292446d3a01547007927df87 Building wheel for docopt (setup.py) ... done Created wheel for docopt: filename=docopt-0.6.2-py2.py3-none-any.whl size=13706 sha256=659b1afa51fb6f8497374a399b9e1c36a423a1fead4fa7999ccd1440917d65c2 Stored in directory: /home/ashish/.cache/pip/wheels/56/ea/58/ead137b087d9e326852a851351d1debf4ada529b6ac0ec4e8c Building wheel for fire (setup.py) ... done Created wheel for fire: filename=fire-0.4.0-py2.py3-none-any.whl size=115926 sha256=ecb49e817db0442d3d91f76c263f923d22f9c308f2fb6b2f170a80b3ceef5ac0 Stored in directory: /home/ashish/.cache/pip/wheels/1f/10/06/2a990ee4d73a8479fe2922445e8a876d38cfbfed052284c6a1 Building wheel for future (setup.py) ... done 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 WARNING: The script chardetect 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 script tabulate 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 pyrsa-decrypt, pyrsa-encrypt, pyrsa-keygen, pyrsa-priv2pub, pyrsa-sign and pyrsa-verify 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 scripts f2py, f2py3 and f2py3.8 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 humanfriendly 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 futurize and pasteurize 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 scripts make_image_classifier and make_nearest_neighbour_index 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 sanic 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 script markdown_py 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 script jsonschema 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 script coloredlogs 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 script doesitcache 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 script randomname 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 script pykwalify 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 script google-oauthlib-tool 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 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 versionThe Fix of PATH Variable
(rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ echo $PATH /home/ashish/.local/bin:/home/ashish/anaconda3/envs/rasa_py38/bin:/home/ashish/anaconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/snap/bin (rasa_py38) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$
Monday, September 19, 2022
Installing Rasa 3.2.8 on Ubuntu using Conda
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