Transformer课程 业务对话机器人Rasa 3.x部署安装
RASA官网
https://rasa.com/
github链接：
https://github.com/RasaHQ
Rasa 3.x部署安装
进入Ananconda系统，新建rasa虚拟环境
conda create --name installingrasa python==3.8.8
(base) C:\Users\admin>conda create --name installingrasa python==3.8.8
Collecting package metadata (current_repodata.json): -
集合rasa虚拟环境
conda activate installingrasa
(base) C:\Users\admin>conda activate installingrasa
安装ujson
(installingrasa) C:\Users\admin> conda install ujson
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.10.3
latest version: 4.11.0
Please update conda by running
$ conda update -n base -c defaults conda
安装tensforflow
conda install tensorflow
(installingrasa) C:\Users\admin> conda install tensorflow
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: |
.......
done
#
# To activate this environment, use
#
# $ conda activate installingrasa
#
# To deactivate an active environment, use
#
# $ conda deactivate
(base) C:\Users\admin>
(base) C:\Users\admin>conda activate installingrasa
(installingrasa) C:\Users\admin>
(installingrasa) C:\Users\admin> conda install ujson
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.10.3
latest version: 4.11.0
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: e:\anaconda3\envs\installingrasa
added / updated specs:
- ujson
The following NEW packages will be INSTALLED:
ujson pkgs/main/win-64::ujson-4.0.2-py38hd77b12b_0
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(installingrasa) C:\Users\admin> conda install tensorflow
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.10.3
latest version: 4.11.0
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: e:\anaconda3\envs\installingrasa
added / updated specs:
- tensorflow
The following packages will be downloaded:
package | build
---------------------------|-----------------
_tflow_select-2.3.0 | eigen 4 KB
absl-py-0.15.0 | pyhd3eb1b0_0 103 KB
aiohttp-3.8.1 | py38h2bbff1b_0 489 KB
aiosignal-1.2.0 | pyhd3eb1b0_0 12 KB
astor-0.8.1 | py38haa95532_0 47 KB
astunparse-1.6.3 | py_0 17 KB
async-timeout-4.0.1 | pyhd3eb1b0_0 10 KB
blinker-1.4 | py38haa95532_0 23 KB
cachetools-4.2.2 | pyhd3eb1b0_0 13 KB
cffi-1.15.0 | py38h2bbff1b_0 223 KB
charset-normalizer-2.0.4 | pyhd3eb1b0_0 35 KB
click-8.0.3 | pyhd3eb1b0_0 79 KB
cryptography-3.4.8 | py38h71e12ea_0 637 KB
dataclasses-0.8 | pyh6d0b6a4_7 8 KB
frozenlist-1.2.0 | py38h2bbff1b_0 77 KB
gast-0.4.0 | pyhd3eb1b0_0 13 KB
google-auth-1.33.0 | pyhd3eb1b0_0 80 KB
google-auth-oauthlib-0.4.4 | pyhd3eb1b0_0 18 KB
google-pasta-0.2.0 | pyhd3eb1b0_0 46 KB
grpcio-1.42.0 | py38hc60d5dd_0 1.9 MB
idna-3.3 | pyhd3eb1b0_0 49 KB
importlib-metadata-4.8.2 | py38haa95532_0 40 KB
intel-openmp-2021.4.0 | haa95532_3556 2.2 MB
keras-applications-1.0.8 | py_1 29 KB
keras-preprocessing-1.1.2 | pyhd3eb1b0_0 35 KB
libprotobuf-3.17.2 | h23ce68f_1 1.9 MB
markdown-3.3.4 | py38haa95532_0 144 KB
mkl-2021.4.0 | haa95532_640 114.9 MB
mkl_fft-1.3.1 | py38h277e83a_0 139 KB
multidict-5.1.0 | py38h2bbff1b_2 61 KB
numpy-1.21.2 | py38hfca59bb_0 24 KB
numpy-base-1.21.2 | py38h0829f74_0 4.4 MB
oauthlib-3.1.1 | pyhd3eb1b0_0 90 KB
opt_einsum-3.3.0 | pyhd3eb1b0_1 57 KB
protobuf-3.17.2 | py38hd77b12b_0 257 KB
pyasn1-0.4.8 | pyhd3eb1b0_0 54 KB
pyasn1-modules-0.2.8 | py_0 72 KB
pycparser-2.21 | pyhd3eb1b0_0 94 KB
pyjwt-2.1.0 | py38haa95532_0 32 KB
pyopenssl-21.0.0 | pyhd3eb1b0_1 49 KB
requests-2.26.0 | pyhd3eb1b0_0 59 KB
requests-oauthlib-1.3.0 | py_0 23 KB
rsa-4.7.2 | pyhd3eb1b0_1 28 KB
scipy-1.7.1 | py38hbe87c03_2 13.8 MB
tensorboard-2.4.0 | pyhc547734_0 8.8 MB
tensorboard-plugin-wit-1.6.0| py_0 630 KB
tensorflow-2.3.0 |mkl_py38h8c0d9a2_0 6 KB
tensorflow-base-2.3.0 |eigen_py38h75a453f_0 49.5 MB
tensorflow-estimator-2.6.0 | pyh7b7c402_0 267 KB
termcolor-1.1.0 | py38haa95532_1 9 KB
typing-extensions-3.10.0.2 | hd3eb1b0_0 12 KB
typing_extensions-3.10.0.2 | pyh06a4308_0 31 KB
urllib3-1.26.7 | pyhd3eb1b0_0 111 KB
werkzeug-2.0.2 | pyhd3eb1b0_0 224 KB
wrapt-1.13.3 | py38h2bbff1b_2 50 KB
yarl-1.6.3 | py38h2bbff1b_0 153 KB
zipp-3.6.0 | pyhd3eb1b0_0 17 KB
zlib-1.2.11 | h8cc25b3_4 112 KB
------------------------------------------------------------
Total: 202.0 MB
The following NEW packages will be INSTALLED:
_tflow_select pkgs/main/win-64::_tflow_select-2.3.0-eigen
absl-py pkgs/main/noarch::absl-py-0.15.0-pyhd3eb1b0_0
aiohttp pkgs/main/win-64::aiohttp-3.8.1-py38h2bbff1b_0
aiosignal pkgs/main/noarch::aiosignal-1.2.0-pyhd3eb1b0_0
astor pkgs/main/win-64::astor-0.8.1-py38haa95532_0
astunparse pkgs/main/noarch::astunparse-1.6.3-py_0
async-timeout pkgs/main/noarch::async-timeout-4.0.1-pyhd3eb1b0_0
attrs pkgs/main/noarch::attrs-21.2.0-pyhd3eb1b0_0
blas pkgs/main/win-64::blas-1.0-mkl
blinker pkgs/main/win-64::blinker-1.4-py38haa95532_0
brotlipy pkgs/main/win-64::brotlipy-0.7.0-py38h2bbff1b_1003
cachetools pkgs/main/noarch::cachetools-4.2.2-pyhd3eb1b0_0
cffi pkgs/main/win-64::cffi-1.15.0-py38h2bbff1b_0
charset-normalizer pkgs/main/noarch::charset-normalizer-2.0.4-pyhd3eb1b0_0
click pkgs/main/noarch::click-8.0.3-pyhd3eb1b0_0
cryptography pkgs/main/win-64::cryptography-3.4.8-py38h71e12ea_0
dataclasses pkgs/main/noarch::dataclasses-0.8-pyh6d0b6a4_7
frozenlist pkgs/main/win-64::frozenlist-1.2.0-py38h2bbff1b_0
gast pkgs/main/noarch::gast-0.4.0-pyhd3eb1b0_0
google-auth pkgs/main/noarch::google-auth-1.33.0-pyhd3eb1b0_0
google-auth-oauth~ pkgs/main/noarch::google-auth-oauthlib-0.4.4-pyhd3eb1b0_0
google-pasta pkgs/main/noarch::google-pasta-0.2.0-pyhd3eb1b0_0
grpcio pkgs/main/win-64::grpcio-1.42.0-py38hc60d5dd_0
h5py pkgs/main/win-64::h5py-2.10.0-py38h5e291fa_0
hdf5 pkgs/main/win-64::hdf5-1.10.4-h7ebc959_0
icc_rt pkgs/main/win-64::icc_rt-2019.0.0-h0cc432a_1
idna pkgs/main/noarch::idna-3.3-pyhd3eb1b0_0
importlib-metadata pkgs/main/win-64::importlib-metadata-4.8.2-py38haa95532_0
intel-openmp pkgs/main/win-64::intel-openmp-2021.4.0-haa95532_3556
keras-applications pkgs/main/noarch::keras-applications-1.0.8-py_1
keras-preprocessi~ pkgs/main/noarch::keras-preprocessing-1.1.2-pyhd3eb1b0_0
libprotobuf pkgs/main/win-64::libprotobuf-3.17.2-h23ce68f_1
markdown pkgs/main/win-64::markdown-3.3.4-py38haa95532_0
mkl pkgs/main/win-64::mkl-2021.4.0-haa95532_640
mkl-service pkgs/main/win-64::mkl-service-2.4.0-py38h2bbff1b_0
mkl_fft pkgs/main/win-64::mkl_fft-1.3.1-py38h277e83a_0
mkl_random pkgs/main/win-64::mkl_random-1.2.2-py38hf11a4ad_0
multidict pkgs/main/win-64::multidict-5.1.0-py38h2bbff1b_2
numpy pkgs/main/win-64::numpy-1.21.2-py38hfca59bb_0
numpy-base pkgs/main/win-64::numpy-base-1.21.2-py38h0829f74_0
oauthlib pkgs/main/noarch::oauthlib-3.1.1-pyhd3eb1b0_0
opt_einsum pkgs/main/noarch::opt_einsum-3.3.0-pyhd3eb1b0_1
protobuf pkgs/main/win-64::protobuf-3.17.2-py38hd77b12b_0
pyasn1 pkgs/main/noarch::pyasn1-0.4.8-pyhd3eb1b0_0
pyasn1-modules pkgs/main/noarch::pyasn1-modules-0.2.8-py_0
pycparser pkgs/main/noarch::pycparser-2.21-pyhd3eb1b0_0
pyjwt pkgs/main/win-64::pyjwt-2.1.0-py38haa95532_0
pyopenssl pkgs/main/noarch::pyopenssl-21.0.0-pyhd3eb1b0_1
pyreadline pkgs/main/win-64::pyreadline-2.1-py38_1
pysocks pkgs/main/win-64::pysocks-1.7.1-py38haa95532_0
requests pkgs/main/noarch::requests-2.26.0-pyhd3eb1b0_0
requests-oauthlib pkgs/main/noarch::requests-oauthlib-1.3.0-py_0
rsa pkgs/main/noarch::rsa-4.7.2-pyhd3eb1b0_1
scipy pkgs/main/win-64::scipy-1.7.1-py38hbe87c03_2
six pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_0
tensorboard pkgs/main/noarch::tensorboard-2.4.0-pyhc547734_0
tensorboard-plugi~ pkgs/main/noarch::tensorboard-plugin-wit-1.6.0-py_0
tensorflow pkgs/main/win-64::tensorflow-2.3.0-mkl_py38h8c0d9a2_0
tensorflow-base pkgs/main/win-64::tensorflow-base-2.3.0-eigen_py38h75a453f_0
tensorflow-estima~ pkgs/main/noarch::tensorflow-estimator-2.6.0-pyh7b7c402_0
termcolor pkgs/main/win-64::termcolor-1.1.0-py38haa95532_1
typing-extensions pkgs/main/noarch::typing-extensions-3.10.0.2-hd3eb1b0_0
typing_extensions pkgs/main/noarch::typing_extensions-3.10.0.2-pyh06a4308_0
urllib3 pkgs/main/noarch::urllib3-1.26.7-pyhd3eb1b0_0
werkzeug pkgs/main/noarch::werkzeug-2.0.2-pyhd3eb1b0_0
win_inet_pton pkgs/main/win-64::win_inet_pton-1.1.0-py38haa95532_0
wrapt pkgs/main/win-64::wrapt-1.13.3-py38h2bbff1b_2
yarl pkgs/main/win-64::yarl-1.6.3-py38h2bbff1b_0
zipp pkgs/main/noarch::zipp-3.6.0-pyhd3eb1b0_0
zlib pkgs/main/win-64::zlib-1.2.11-h8cc25b3_4
Proceed ([y]/n)?
Downloading and Extracting Packages
pyjwt-2.1.0 | 32 KB | ############################################################################ | 100%
intel-openmp-2021.4. | 2.2 MB | ############################################################################ | 100%
absl-py-0.15.0 | 103 KB | ############################################################################ | 100%
aiohttp-3.8.1 | 489 KB | ############################################################################ | 100%
typing-extensions-3. | 12 KB | ############################################################################ | 100%
requests-oauthlib-1. | 23 KB | ############################################################################ | 100%
typing_extensions-3. | 31 KB | ############################################################################ | 100%
keras-applications-1 | 29 KB | ############################################################################ | 100%
gast-0.4.0 | 13 KB | ############################################################################ | 100%
aiosignal-1.2.0 | 12 KB | ############################################################################ | 100%
_tflow_select-2.3.0 | 4 KB | ############################################################################ | 100%
google-auth-oauthlib | 18 KB | ############################################################################ | 100%
cffi-1.15.0 | 223 KB | ############################################################################ | 100%
protobuf-3.17.2 | 257 KB | ############################################################################ | 100%
charset-normalizer-2 | 35 KB | ############################################################################ | 100%
urllib3-1.26.7 | 111 KB | ############################################################################ | 100%
numpy-1.21.2 | 24 KB | ############################################################################ | 100%
tensorflow-estimator | 267 KB | ############################################################################ | 100%
click-8.0.3 | 79 KB | ############################################################################ | 100%
wrapt-1.13.3 | 50 KB | ############################################################################ | 100%
werkzeug-2.0.2 | 224 KB | ############################################################################ | 100%
scipy-1.7.1 | 13.8 MB | ############################################################################ | 100%
pycparser-2.21 | 94 KB | ############################################################################ | 100%
importlib-metadata-4 | 40 KB | ############################################################################ | 100%
opt_einsum-3.3.0 | 57 KB | ############################################################################ | 100%
rsa-4.7.2 | 28 KB | ############################################################################ | 100%
requests-2.26.0 | 59 KB | ############################################################################ | 100%
google-pasta-0.2.0 | 46 KB | ############################################################################ | 100%
astor-0.8.1 | 47 KB | ############################################################################ | 100%
async-timeout-4.0.1 | 10 KB | ############################################################################ | 100%
tensorboard-plugin-w | 630 KB | ############################################################################ | 100%
cachetools-4.2.2 | 13 KB | ############################################################################ | 100%
oauthlib-3.1.1 | 90 KB | ############################################################################ | 100%
grpcio-1.42.0 | 1.9 MB | ############################################################################ | 100%
cryptography-3.4.8 | 637 KB | ############################################################################ | 100%
multidict-5.1.0 | 61 KB | ############################################################################ | 100%
tensorboard-2.4.0 | 8.8 MB | ############################################################################ | 100%
zlib-1.2.11 | 112 KB | ############################################################################ | 100%
libprotobuf-3.17.2 | 1.9 MB | ############################################################################ | 100%
keras-preprocessing- | 35 KB | ############################################################################ | 100%
pyopenssl-21.0.0 | 49 KB | ############################################################################ | 100%
mkl-2021.4.0 | 114.9 MB | ############################################################################ | 100%
astunparse-1.6.3 | 17 KB | ############################################################################ | 100%
mkl_fft-1.3.1 | 139 KB | ############################################################################ | 100%
google-auth-1.33.0 | 80 KB | ############################################################################ | 100%
pyasn1-0.4.8 | 54 KB | ############################################################################ | 100%
termcolor-1.1.0 | 9 KB | ############################################################################ | 100%
tensorflow-2.3.0 | 6 KB | ############################################################################ | 100%
zipp-3.6.0 | 17 KB | ############################################################################ | 100%
numpy-base-1.21.2 | 4.4 MB | ############################################################################ | 100%
blinker-1.4 | 23 KB | ############################################################################ | 100%
pyasn1-modules-0.2.8 | 72 KB | ############################################################################ | 100%
tensorflow-base-2.3. | 49.5 MB | ############################################################################ | 100%
idna-3.3 | 49 KB | ############################################################################ | 100%
yarl-1.6.3 | 153 KB | ############################################################################ | 100%
dataclasses-0.8 | 8 KB | ############################################################################ | 100%
markdown-3.3.4 | 144 KB | ############################################################################ | 100%
frozenlist-1.2.0 | 77 KB | ############################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: /
......
安装rasa
(installingrasa) C:\Users\admin>pip install rasa -i https://pypi.tuna.tsinghua.edu.cn/simple
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting rasa
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/1d/0f/6e08cfbce14f466e1784f867e25a25c09eb261d050a29cf355cf25ea69a2/rasa-3.0.4-py3-none-any.whl (795 kB)
|████████████████████████████████| 795 kB 1.1 MB/s
Collecting packaging<21.0,>=20.0
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/3e/89/7ea760b4daa42653ece2380531c90f64788d979110a2ab51049d92f408af/packaging-20.9-py2.py3-none-any.whl (40 kB)
|████████████████████████████████| 40 kB 1.3 MB/s
Collecting twilio<6.51,>=6.26
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e9/0e/d54630e6daae43dd74d44a94f52d1072b5332c374d699938d7d1db20a54c/twilio-6.50.1.tar.gz (457 kB)
|████████████████████████████████| 457 kB 1.6 MB/s
Collecting ruamel.yaml<0.17.0,>=0.16.5
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/ed/c3/4c823dac2949a6baf36a4987d04c50d30184147393ba6f4bfb4c67d15a13/ruamel.yaml-0.16.13-py2.py3-none-any.whl (111 kB)
|████████████████████████████████| 111 kB 3.3 MB/s
Collecting apscheduler<3.8,>=3.6
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/5d/e9/b5e4f7aaea076bbfb241b04824c63cd42fe8029358103c27375e690bddc0/APScheduler-3.7.0-py2.py3-none-any.whl (59 kB)
|████████████████████████████████| 59 kB 4.1 MB/s
Collecting rasa-sdk<4.0.0,>=3.0.0
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a0/ba/4e5d36f9839218bdf0f6c65723d0f9860ed601825c948f45c82c5e093fa0/rasa_sdk-3.0.2-py3-none-any.whl (41 kB)
|████████████████████████████████| 41 kB 14 kB/s
Collecting sanic-jwt<2.0.0,>=1.6.0
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/83/9e/f80c47874efc536ba102741d3989675bef3bdbacc9dd7bc4037d93dd0731/sanic_jwt-1.7.0-py3-none-any.whl (23 kB)
Collecting sklearn-crfsuite<0.4,>=0.3
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/25/74/5b7befa513482e6dee1f3dd68171a6c9dfc14c0eaa00f885ffeba54fe9b0/sklearn_crfsuite-0.3.6-py2.py3-none-any.whl (12 kB)
Collecting mattermostwrapper<2.3,>=2.2
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/d7/fd/f1ce046ddaeffa5073f87d7800c27ad2c8e543e924a8418675c64aea6a14/mattermostwrapper-2.2.tar.gz (2.5 kB)
Requirement already satisfied: requests<3.0,>=2.23 in e:\anaconda3\envs\installingrasa\lib\site-packages (from rasa) (2.26.0)
Collecting typing-utils<0.2.0,>=0.1.0
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/66/6e/99fe160a19676051070aa1da4ca44aac2a213e79ba1a492b5f03facf6447/typing_utils-0.1.0-py3-none-any.whl (10 kB)
Collecting tensorflow-probability<0.14,>=0.11
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/ec/9e/0becd380769875d55a4d2178600ed4b00dc8ba62dc9c95f75b0f6ca83cf2/tensorflow_probability-0.13.0-py2.py3-none-any.whl (5.4 MB)
|████████████████████████████████| 5.4 MB 3.3 MB/s
Collecting boto3<2.0,>=1.12
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/38/63/8f6fec41e6bec365549f9acfd39254abb5c28c84eb989303792968beca35/boto3-1.20.26-py3-none-any.whl (131 kB)
|████████████████████████████████| 131 kB 6.8 MB/s
Requirement already satisfied: typing-extensions<4.0.0,>=3.7.4 in e:\anaconda3\envs\installingrasa\lib\site-packages (from rasa) (3.10.0.2)
Collecting redis<4.0,>=3.4
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a7/7c/24fb0511df653cf1a5d938d8f5d19802a88cef255706fdda242ff97e91b7/redis-3.5.3-py2.py3-none-any.whl (72 kB)
|████████████████████████████████| 72 kB 132 kB/s
Collecting colorclass<2.3,>=2.2
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/30/b6/daf3e2976932da4ed3579cff7a30a53d22ea9323ee4f0d8e43be60454897/colorclass-2.2.2-py2.py3-none-any.whl (18 kB)
Collecting scikit-learn<0.25,>=0.22
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/9a/ff/5951e53ffed8d0fdb958883bd8a49b050f07c9b0c96a643607006bf690fe/scikit_learn-0.24.2-cp38-cp38-win_amd64.whl (6.9 MB)
|████████████████████████████████| 6.9 MB 3.3 MB/s
Collecting joblib<1.1.0,>=0.15.1
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/55/85/70c6602b078bd9e6f3da4f467047e906525c355a4dacd4f71b97a35d9897/joblib-1.0.1-py3-none-any.whl (303 kB)
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Building wheels for collected packages: mattermostwrapper, docopt, pyTelegramBotAPI, randomname, clang, twilio, wrapt, fire, future
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Successfully built mattermostwrapper docopt pyTelegramBotAPI randomname clang twilio wrapt fire future
Installing collected packages: idna, chardet, websockets, six, sanic-routing, requests, httptools, aiofiles, sanic, python-dateutil, pyreadline3, jmespath, google-auth, wcwidth, typing-extensions, toolz, tensorboard-data-server, sanic-plugin-toolkit, ruamel.yaml.clib, pytz, pyparsing, pamqp, numpy, locket, humanfriendly, colorama, botocore, async-timeout, absl-py, wrapt, tzlocal, typeguard, tqdm, threadpoolctl, tensorboard, tabulate, sanic-cors, s3transfer, ruamel.yaml, requests-toolbelt, pyyaml, python-engineio, python-crfsuite, pyrsistent, pymongo, prompt-toolkit, pillow, partd, packaging, msgpack, kiwisolver, keras, joblib, h5py, greenlet, future, fsspec, flatbuffers, fire, docopt, dnspython, dm-tree, decorator, cycler, coloredlogs, cloudpickle, clang, bidict, aiormq, aiohttp, webexteamssdk, typing-utils, twilio, terminaltables, tensorflow-probability, tensorflow-hub, tensorflow-addons, tensorflow, tarsafe, SQLAlchemy, slackclient, sklearn-crfsuite, sentry-sdk, scikit-learn, sanic-jwt, rocketchat-API, regex, redis, rasa-sdk, randomname, questionary, python-socketio, pyTelegramBotAPI, pykwalify, pydot, psycopg2-binary, networkx, mattermostwrapper, matplotlib, kafka-python, jsonschema, jsonpickle, fbmessenger, dask, colorhash, colorclass, CacheControl, boto3, async-generator, apscheduler, aio-pika, rasa
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Attempting uninstall: wrapt
Found existing installation: wrapt 1.13.3
Uninstalling wrapt-1.13.3:
Successfully uninstalled wrapt-1.13.3
Attempting uninstall: tensorboard
Found existing installation: tensorboard 2.4.0
Uninstalling tensorboard-2.4.0:
Successfully uninstalled tensorboard-2.4.0
Attempting uninstall: h5py
Found existing installation: h5py 2.10.0
Uninstalling h5py-2.10.0:
Successfully uninstalled h5py-2.10.0
Attempting uninstall: aiohttp
Found existing installation: aiohttp 3.8.1
Uninstalling aiohttp-3.8.1:
Successfully uninstalled aiohttp-3.8.1
Attempting uninstall: tensorflow
Found existing installation: tensorflow 2.3.0
Uninstalling tensorflow-2.3.0:
Successfully uninstalled tensorflow-2.3.0
Successfully installed CacheControl-0.12.10 SQLAlchemy-1.4.29 absl-py-0.13.0 aio-pika-6.8.1 aiofiles-0.8.0 aiohttp-3.7.4 aiormq-3.3.1 apscheduler-3.7.0 async-generator-1.10 async-timeout-3.0.1 bidict-0.21.4 boto3-1.20.26 botocore-1.23.26 chardet-3.0.4 clang-5.0 cloudpickle-1.6.0 colorama-0.4.4 colorclass-2.2.2 coloredlogs-15.0.1 colorhash-1.0.4 cycler-0.11.0 dask-2021.11.2 decorator-5.1.0 dm-tree-0.1.6 dnspython-1.16.0 docopt-0.6.2 fbmessenger-6.0.0 fire-0.4.0 flatbuffers-1.12 fsspec-2021.11.1 future-0.18.2 google-auth-2.3.3 greenlet-1.1.2 h5py-3.1.0 httptools-0.3.0 humanfriendly-10.0 idna-2.10 jmespath-0.10.0 joblib-1.0.1 jsonpickle-2.0.0 jsonschema-3.2.0 kafka-python-2.0.2 keras-2.6.0 kiwisolver-1.3.2 locket-0.2.1 matplotlib-3.3.4 mattermostwrapper-2.2 msgpack-1.0.3 networkx-2.6.3 numpy-1.19.5 packaging-20.9 pamqp-2.3.0 partd-1.2.0 pillow-8.4.0 prompt-toolkit-2.0.10 psycopg2-binary-2.9.2 pyTelegramBotAPI-3.8.3 pydot-1.4.2 pykwalify-1.8.0 pymongo-3.10.1 pyparsing-3.0.6 pyreadline3-3.3 pyrsistent-0.18.0 python-crfsuite-0.9.7 python-dateutil-2.8.2 python-engineio-4.3.0 python-socketio-5.5.0 pytz-2021.3 pyyaml-6.0 questionary-1.10.0 randomname-0.1.5 rasa-3.0.4 rasa-sdk-3.0.2 redis-3.5.3 regex-2021.8.28 requests-2.25.1 requests-toolbelt-0.9.1 rocketchat-API-1.16.0 ruamel.yaml-0.16.13 ruamel.yaml.clib-0.2.6 s3transfer-0.5.0 sanic-21.9.3 sanic-cors-1.0.1 sanic-jwt-1.7.0 sanic-plugin-toolkit-1.2.0 sanic-routing-0.7.2 scikit-learn-0.24.2 sentry-sdk-1.3.1 six-1.15.0 sklearn-crfsuite-0.3.6 slackclient-2.9.3 tabulate-0.8.9 tarsafe-0.0.3 tensorboard-2.7.0 tensorboard-data-server-0.6.1 tensorflow-2.6.1 tensorflow-addons-0.14.0 tensorflow-hub-0.12.0 tensorflow-probability-0.13.0 terminaltables-3.1.10 threadpoolctl-3.0.0 toolz-0.11.2 tqdm-4.62.3 twilio-6.50.1 typeguard-2.13.3 typing-extensions-3.7.4.3 typing-utils-0.1.0 tzlocal-2.1 wcwidth-0.2.5 webexteamssdk-1.6 websockets-10.1 wrapt-1.12.1
下载安装visual c++
RASA 初始化
运行rasa init 命令
(installingrasa) E:\starspace\my_rasa>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 'E:\starspace\my_rasa'.
Finished creating project structure.
? Do you want to train an initial model? 💪🏽 Yes
Training an initial model...
The configuration for pipeline and policies was chosen automatically. It was written into the config file at 'config.yml'.
2021-12-25 22:52:35 INFO rasa.engine.training.hooks - Starting to train component 'RegexFeaturizer'.
2021-12-25 22:52:35 INFO rasa.engine.training.hooks - Finished training component 'RegexFeaturizer'.
2021-12-25 22:52:36 INFO rasa.engine.training.hooks - Starting to train component 'LexicalSyntacticFeaturizer'.
2021-12-25 22:52:36 INFO rasa.engine.training.hooks - Finished training component 'LexicalSyntacticFeaturizer'.
2021-12-25 22:52:36 INFO rasa.engine.training.hooks - Starting to train component 'CountVectorsFeaturizer'.
2021-12-25 22:52:36 INFO rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer - 80 vocabulary items were created for text attribute.
2021-12-25 22:52:36 INFO rasa.engine.training.hooks - Finished training component 'CountVectorsFeaturizer'.
2021-12-25 22:52:36 INFO rasa.engine.training.hooks - Starting to train component 'CountVectorsFeaturizer'.
2021-12-25 22:52:36 INFO rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer - 697 vocabulary items were created for text attribute.
2021-12-25 22:52:36 INFO rasa.engine.training.hooks - Finished training component 'CountVectorsFeaturizer'.
2021-12-25 22:52:36 INFO rasa.engine.training.hooks - Starting to train component 'DIETClassifier'.
Epochs: 1%|█▍ | 1/100 [00:16<27:41, 16.78s/itEpochs: 1%|█▏ | 1/100 [00:16<27:41, 16.78s/it, t_loss=5.7, i_acc=0.0547Epochs: 2%|██▎ | 2/100 [00:16<11:29, 7.03s/it, t_loss=5.7, i_acc=0.054Epochs: 2%|██▎ | 2/100 [00:16<11:29, 7.03s/it, t_loss=4.8, i_acc=0.13Epochs: 3%|███▌ | 3/100 [00:17<06:19, 3.92s/it, t_loss=4.8, i_acc=0.1Epochs: 3%|███▌ | 3/100 [00:17<06:19, 3.92s/it, t_loss=4.09, i_acc=0.6Epochs: 4%|████▋ | 4/100 [00:17<03:55, 2.45s/it, t_loss=4.09, i_acc=0.Epochs: 4%|████▋ | 4/100 [00:17<03:55, 2.45s/it, t_loss=4.73, i_acc=0.Epochs: 5%|█████▊ | 5/100 [00:17<02:38, 1.67s/it, t_loss=4.73, i_acc=0Epochs: 5%|█████▊ | 5/100 [00:17<02:38, 1.67s/it, t_loss=4.61, i_acc=0Epochs: 6%|███████ | 6/100 [00:17<01:50, 1.17s/it, t_loss=4.61, i_acc=Epochs: 6%|███████ | 6/100 [00:17<01:50, 1.17s/it, t_loss=4.1, i_acc=Epochs: 7%|████████▎ | 7/100 [00:18<01:20, 1.16it/s, t_loss=4.1, i_acEpochs: 7%|████████▏ | 7/100 [00:18<01:20, 1.16it/s, t_loss=3.98, i_acEpochs: 8%|█████████▎ | 8/100 [00:18<01:00, 1.52it/s, t_loss=3.98, i_aEpochs: 8%|█████████▎ | 8/100 [00:18<01:00, 1.52it/s, t_loss=3.65, i_aEpochs: 9%|██████████▌ | 9/100 [00:18<00:48, 1.89it/s, t_loss=3.65, i_Epochs: 9%|██████████▌ | 9/100 [00:18<00:48, 1.89it/s, t_loss=3.62, i_Epochs: 10%|███████████▌ | 10/100 [00:18<00:37, 2.37it/s, t_loss=3.62, iEpochs: 10%|███████████▌ | 10/100 [00:18<00:37, 2.37it/s, t_loss=3.45, iEpochs: 11%|████████████▊ | 11/100 [00:18<00:30, 2.89it/s, t_loss=3.45, Epochs: 11%|████████████▊ | 11/100 [00:18<00:30, 2.89it/s, t_loss=3.29, Epochs: 12%|█████████████▉ | 12/100 [00:19<00:25, 3.39it/s, t_loss=3.29,Epochs: 12%|█████████████▉ | 12/100 [00:19<00:25, 3.39it/s, t_loss=3.26,Epochs: 13%|███████████████ | 13/100 [00:19<00:23, 3.76it/s, t_loss=3.26Epochs: 13%|███████████████ | 13/100 [00:19<00:23, 3.76it/s, t_loss=2.96Epochs: 14%|████████████████▏ | 14/100 [00:19<00:20, 4.17it/s, t_loss=2.Epochs: 14%|████████████████▏ | 14/100 [00:19<00:20, 4.17it/s, t_loss=3.Epochs: 15%|█████████████████▍ | 15/100 [00:19<00:18, 4.56it/s, t_loss=3Epochs: 15%|█████████████████▍ | 15/100 [00:19<00:18, 4.56it/s, t_loss=2Epochs: 16%|██████████████████▌ | 16/100 [00:19<00:17, 4.74it/s, t_loss=Epochs: 16%|██████████████████▌ | 16/100 [00:19<00:17, 4.74it/s, t_loss=Epochs: 17%|███████████████████▋ | 17/100 [00:20<00:17, 4.86it/s, t_lossEpochs: 17%|███████████████████▋ | 17/100 [00:20<00:17, 4.86it/s, t_lossEpochs: 18%|████████████████████▉ | 18/100 [00:20<00:16, 4.97it/s, t_losEpochs: 18%|█████████████████████▌ | 18/100 [00:20<00:16, 4.97it/s, Epochs: 19%|██████████████████████▊ | 19/100 [00:20<00:16, 4.97it/s,Epochs: 19%|██████████████████████ | 19/100 [00:20<00:16, 4.97it/s, t_loEpochs: 20%|███████████████████████▏ | 20/100 [00:20<00:16, 4.93it/s, t_Epochs: 20%|███████████████████████▏ | 20/100 [00:20<00:16, 4.93it/s, t_Epochs: 21%|████████████████████████▎ | 21/100 [00:20<00:15, 4.98it/s, tEpochs: 21%|████████████████████████▎ | 21/100 [00:20<00:15, 4.98it/s, tEpochs: 22%|█████████████████████████▌ | 22/100 [00:21<00:16, 4.72it/s, Epochs: 22%|██████████████████████████▍ | 22/100 [00:21<00:16, 4.72iEpochs: 23%|███████████████████████████▌ | 23/100 [00:21<00:15, 4.94Epochs: 23%|██████████████████████████▋ | 23/100 [00:21<00:15, 4.94it/s,Epochs: 24%|███████████████████████████▊ | 24/100 [00:21<00:15, 4.94it/sEpochs: 24%|███████████████████████████▊ | 24/100 [00:21<00:15, 4.94it/s, t_loss=2.08, i_acc=0.985]
。。。。。
Epochs: 89%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 90%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 91%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 91%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 92%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 93%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 93%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 94%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 95%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 95%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 96%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 97%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 97%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 98%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 99%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 99%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 100%|████████████████████████████████████████████████████████████████████████████████████████Epochs: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:24<00:00, 4.06it/s, t_loss=0.13, loss=0.0169, acc=1]
2021-12-25 22:59:14 INFO rasa.engine.training.hooks - Finished training component 'UnexpecTEDIntentPolicy'.
Your Rasa model is trained and saved at 'models\20211225-225234-merry-confirmation.tar.gz'.
? Do you want to speak to the trained assistant on the command line? 🤖 Yes
........
2021-12-25 22:59:56 INFO root - Connecting to channel 'cmdline' which was specified by the '--connector' argument. Any other channels will be ignored. To connect to all given channels, omit the '--connector' argument.
2021-12-25 23:00:00 INFO root - Starting Rasa server on http://0.0.0.0:5005
2021-12-25 23:00:03 INFO rasa.core.processor - Loading model models\20211225-225234-merry-confirmation.tar.gz...
。。。
2021-12-25 23:00:03 INFO rasa.core.processor - Loading model models\20211225-225234-merry-confirmation.tar.gz...
2021-12-25 23:00:38 WARNING rasa.shared.utils.common - The UnexpecTED Intent Policy is currently experimental and might change or be removed in the future 🔬 Please share your feedback on it in the forum (https://forum.rasa.com) to help us make this feature ready for production.
2021-12-25 23:01:00 INFO root - Rasa server is up and running.
Bot loaded. Type a message and press enter (use '/stop' to exit):
Your input ->hello
Hey! How are you?
Your input -> Welcome to GavinNLP intelligent dialogue group!
Here is something to cheer you up:
Image: https://i.imgur.com/nGF1K8f.jpg
Did that help you?
Your input -> yes
Great, carry on!
Your input -> bye
Bye
Your input ->
https://i.imgur.com/nGF1K8f.jpg
