Closed Mohammad699 closed 2 years ago
How did you install Rasa? This should be easily fixed by pip install randomname
.
How did you install Rasa?
I installed rasa like this
pip3 install -U --user pip && pip3 install rasa
This should be easily fixed by
pip install randomname
.
It's already installed
`(venv) (base) PS D:\cacow> pip install randomname
Requirement already satisfied: randomname in d:\venv\lib\site-packages (0.1.5)
Requirement already satisfied: fire in d:\venv\lib\site-packages (from randomname) (0.4.0)
Requirement already satisfied: six in d:\venv\lib\site-packages (from fire->randomname) (1.15.0)
Requirement already satisfied: termcolor in d:\venv\lib\site-packages (from fire->randomname) (1.1.0)
WARNING: You are using pip version 20.1.1; however, version 21.3.1 is available.
You should consider upgrading via the 'd:\venv\scripts\python.exe -m pip install --upgrade pip' command.
(venv) (base) PS D:\cacow> rasa train
Traceback (most recent call last):
File "C:\Users\Original\AppData\Local\Programs\Python\Python37\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "C:\Users\Original\AppData\Local\Programs\Python\Python37\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "D:\venv\Scripts\rasa.exe\__main__.py", line 7, in <module>
File "d:\venv\lib\site-packages\rasa\__main__.py", line 121, in main
cmdline_arguments.func(cmdline_arguments)
File "d:\venv\lib\site-packages\rasa\cli\train.py", line 59, in <lambda>
train_parser.set_defaults(func=lambda args: run_training(args, can_exit=True))
File "d:\venv\lib\site-packages\rasa\cli\train.py", line 103, in run_training
finetuning_epoch_fraction=args.epoch_fraction,
File "d:\venv\lib\site-packages\rasa\api.py", line 103, in train
from rasa.model_training import train
File "d:\venv\lib\site-packages\rasa\model_training.py", line 14, in <module>
import randomname
ModuleNotFoundError: No module named 'randomname'`
It's happening even in new instance creation :
(venv) (base) PS D:\> python -m rasa init
Welcome to Rasa! π€
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! ππ½
? Please enter a path where the project will be created [default: current directory] coca
? Path 'coca' does not exist π§. Create path? Yes
Created project directory at 'D:\coca'.
Finished creating project structure.
? Do you want to train an initial model? πͺπ½ Yes
Training an initial model...
Traceback (most recent call last):
File "C:\Users\Original\AppData\Local\Programs\Python\Python37\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "C:\Users\Original\AppData\Local\Programs\Python\Python37\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "D:\venv\lib\site-packages\rasa\__main__.py", line 139, in <module>
main()
File "D:\venv\lib\site-packages\rasa\__main__.py", line 121, in main
cmdline_arguments.func(cmdline_arguments)
File "D:\venv\lib\site-packages\rasa\cli\scaffold.py", line 238, in run
init_project(args, path)
File "D:\venv\lib\site-packages\rasa\cli\scaffold.py", line 132, in init_project
print_train_or_instructions(args)
File "D:\venv\lib\site-packages\rasa\cli\scaffold.py", line 68, in print_train_or_instructions
DEFAULT_MODELS_PATH,
File "D:\venv\lib\site-packages\rasa\api.py", line 103, in train
from rasa.model_training import train
File "D:\venv\lib\site-packages\rasa\model_training.py", line 14, in <module>
import randomname
ModuleNotFoundError: No module named 'randomname'
(venv) (base) PS D:\>
When I look at this command I see two things.
pip3 install -U --user pip && pip3 install rasa
It seems you're installing pip
in the user virtualenv. After that you're installing rasa without specific --user
. Is this conscious? I fear that some packages get installed in the user env while others get installed in the global one.
When I look at this command I see two things.
pip3 install -U --user pip && pip3 install rasa
It seems you're installing
pip
in the user virtualenv. After that you're installing rasa without specific--user
. Is this conscious? I fear that some packages get installed in the user env while others get installed in the global one.
I'm new to python so can you give a link on how the process is done corectly? Thank you
If you're unfamiliar with virtual environments, you may appreciate this resource.
I'll close the issue for now though since it seems like the issue is unrelated to Rasa. But feel free to ask for pointers if you appreciate more resources.
hi i am getting the same error.
i used conda to create a virtual env for which i used the command:
conda create --name rasa_project python==3.8 ujson tensorflow==2.6
after that i activated the env and installed rasa using:
python -m pip install rasa
when i use rasa init to initialize the project, i get the same error.
`(rasa_project) F:\pc\BEPROJECT>rasa init Welcome to Rasa! π€
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! ππ½
? Please enter a path where the project will be created [default: current directory]
? Directory 'F:\pc\BEPROJECT' is not empty. Continue? Yes
Created project directory at 'F:\pc\BEPROJECT'.
Finished creating project structure.
? Do you want to train an initial model? πͺπ½ Yes
Training an initial model...
Traceback (most recent call last):
File "F:\pc\miniconda3\envs\rasa_project\lib\runpy.py", line 192, in _run_module_as_main
return _run_code(code, main_globals, None,
File "F:\pc\miniconda3\envs\rasa_project\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "F:\pc\miniconda3\envs\rasa_project\Scripts\rasa.exe__main__.py", line 7, in
Can you confirm that you're actually in the activated venv? Can you run which python
?
Can you confirm that you're actually in the activated venv? Can you run
which python
?
yes i am in the activated env and this is the output that i get when i run
python --version
what about
''' python -m pip freeze | grep rasa '''
what about
''' python -m pip freeze | grep rasa '''
(rasa_project) F:\SHABBIR\BEPROJECT>pip freeze | findstr rasa
rasa==3.0.6
rasa-sdk==3.0.4
Ah! But there's a difference between:
pip freeze
and
python -m pip freeze
if this difference is unclear, you may appreciate this explainer.
Could you also show both of these:
rasa --version
python -m rasa --version
Ah! But there's a difference between:
pip freeze
and
python -m pip freeze
if this difference is unclear, you may appreciate this explainer.
Could you also show both of these:
rasa --version python -m rasa --version
(rasa_project) C:\Users\Shabbir>python -m pip freeze | findstr rasa
rasa==3.0.6
rasa-sdk==3.0.4
(rasa_project) C:\Users\Shabbir>rasa --version
Rasa Version : 3.0.6
Minimum Compatible Version: 3.0.0
Rasa SDK Version : 3.0.4
Rasa X Version : None
Python Version : 3.8.0
Operating System : Windows-10-10.0.19041-SP0
Python Path : F:\SHABBIR\miniconda3\envs\rasa_project\python.exe
(rasa_project) C:\Users\Shabbir>python -m rasa --version
Rasa Version : 3.0.6
Minimum Compatible Version: 3.0.0
Rasa SDK Version : 3.0.4
Rasa X Version : None
Python Version : 3.8.0
Operating System : Windows-10-10.0.19041-SP0
Python Path : F:\SHABBIR\miniconda3\envs\rasa_project\python.exe
That's strange.
The simple fix should just be this though:
python -m pip install randomname
That's strange.
The simple fix should just be this though:
python -m pip install randomname
i tried that but that doesn't solve the issue. the package is already installed. this is the log:
(rasa_project) C:\Users\Shabbir>python -m pip install randomname
Requirement already satisfied: randomname in f:\shabbir\miniconda3\envs\rasa_project\lib\site-packages (0.1.5)
Requirement already satisfied: fire in f:\shabbir\miniconda3\envs\rasa_project\lib\site-packages (from randomname) (0.4.0)
Requirement already satisfied: six in f:\shabbir\miniconda3\envs\rasa_project\lib\site-packages (from fire->randomname) (1.16.0)
Requirement already satisfied: termcolor in f:\shabbir\miniconda3\envs\rasa_project\lib\site-packages (from fire->randomname) (1.1.0)
I suppose another thing to try.
Could you start a fresh virutalenv, but before installing anything with pip ... could you try:
python -m pip install --upgrade pip
i am still getting the same error in the freshly created env even after upgrading pip first. below is the log for the same:
(rasa-demo) F:\SHABBIR\BEPROJECT>rasa init
Welcome to Rasa! π€
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! ππ½
? Please enter a path where the project will be created [default: current directory]
? Directory 'F:\SHABBIR\BEPROJECT' is not empty. Continue? Yes
Created project directory at 'F:\SHABBIR\BEPROJECT'.
Finished creating project structure.
? Do you want to train an initial model? πͺπ½ Yes
Training an initial model...
Traceback (most recent call last):
File "F:\SHABBIR\miniconda3\envs\rasa-demo\lib\runpy.py", line 192, in _run_module_as_main
return _run_code(code, main_globals, None,
File "F:\SHABBIR\miniconda3\envs\rasa-demo\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "F:\SHABBIR\miniconda3\envs\rasa-demo\Scripts\rasa.exe\__main__.py", line 7, in <module>
File "F:\SHABBIR\miniconda3\envs\rasa-demo\lib\site-packages\rasa\__main__.py", line 121, in main
cmdline_arguments.func(cmdline_arguments)
File "F:\SHABBIR\miniconda3\envs\rasa-demo\lib\site-packages\rasa\cli\scaffold.py", line 238, in run
init_project(args, path)
File "F:\SHABBIR\miniconda3\envs\rasa-demo\lib\site-packages\rasa\cli\scaffold.py", line 132, in init_project
print_train_or_instructions(args)
File "F:\SHABBIR\miniconda3\envs\rasa-demo\lib\site-packages\rasa\cli\scaffold.py", line 64, in print_train_or_instructions
training_result = rasa.train(
File "F:\SHABBIR\miniconda3\envs\rasa-demo\lib\site-packages\rasa\api.py", line 103, in train
from rasa.model_training import train
File "F:\SHABBIR\miniconda3\envs\rasa-demo\lib\site-packages\rasa\model_training.py", line 6, in <module>
import randomname
ModuleNotFoundError: No module named 'randomname'
You seem to insist on running rasa init
as opposed to python -m rasa init
. Could you rerun everything by starting a new virtualenv, and by installing every dependency with the python -m
syntax?
You seem to insist on running
rasa init
as opposed topython -m rasa init
. Could you rerun everything by starting a new virtualenv, and by installing every dependency with thepython -m
syntax?
I face the same issue...
(base) C:\Users\Shabbir>conda create -p F:\SHABBIR\BEPROJ\env
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: F:\SHABBIR\BEPROJ\env
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate F:\SHABBIR\BEPROJ\env
#
# To deactivate an active environment, use
#
# $ conda deactivate
(base) C:\Users\Shabbir>conda activate F:\SHABBIR\BEPROJ\env
(F:\SHABBIR\BEPROJ\env) C:\Users\Shabbir>conda install python==3.8
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: F:\SHABBIR\BEPROJ\env
added / updated specs:
- python==3.8
The following NEW packages will be INSTALLED:
ca-certificates pkgs/main/win-64::ca-certificates-2021.10.26-haa95532_4
certifi pkgs/main/win-64::certifi-2021.10.8-py38haa95532_2
openssl pkgs/main/win-64::openssl-1.1.1m-h2bbff1b_0
pip pkgs/main/win-64::pip-21.2.2-py38haa95532_0
python pkgs/main/win-64::python-3.8.0-hff0d562_2
setuptools pkgs/main/win-64::setuptools-58.0.4-py38haa95532_0
sqlite pkgs/main/win-64::sqlite-3.37.0-h2bbff1b_0
vc pkgs/main/win-64::vc-14.2-h21ff451_1
vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2
wheel pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0
wincertstore pkgs/main/win-64::wincertstore-0.2-py38haa95532_2
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(F:\SHABBIR\BEPROJ\env) C:\Users\Shabbir>conda install tensorflow==2.6
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
## Package Plan ##
environment location: F:\SHABBIR\BEPROJ\env
added / updated specs:
- tensorflow==2.6
The following NEW packages will be INSTALLED:
_tflow_select pkgs/main/win-64::_tflow_select-2.3.0-mkl
abseil-cpp pkgs/main/win-64::abseil-cpp-20210324.2-hd77b12b_0
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-21.4.0-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_1
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
flatbuffers pkgs/main/win-64::flatbuffers-2.0.0-h6c2663c_0
frozenlist pkgs/main/win-64::frozenlist-1.2.0-py38h2bbff1b_0
gast pkgs/main/noarch::gast-0.4.0-pyhd3eb1b0_0
giflib pkgs/main/win-64::giflib-5.2.1-h62dcd97_0
google-auth pkgs/main/noarch::google-auth-1.33.0-pyhd3eb1b0_0
google-auth-oauth~ pkgs/main/noarch::google-auth-oauthlib-0.4.1-py_2
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-3.6.0-py38h3de5c98_0
hdf5 pkgs/main/win-64::hdf5-1.10.6-h7ebc959_0
icc_rt pkgs/main/win-64::icc_rt-2019.0.0-h0cc432a_1
icu pkgs/main/win-64::icu-68.1-h6c2663c_0
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
jpeg pkgs/main/win-64::jpeg-9d-h2bbff1b_0
keras-preprocessi~ pkgs/main/noarch::keras-preprocessing-1.1.2-pyhd3eb1b0_0
libcurl pkgs/main/win-64::libcurl-7.80.0-h86230a5_0
libpng pkgs/main/win-64::libpng-1.6.37-h2a8f88b_0
libprotobuf pkgs/main/win-64::libprotobuf-3.14.0-h23ce68f_0
libssh2 pkgs/main/win-64::libssh2-1.9.0-h7a1dbc1_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-3.14.0-py38hd77b12b_1
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
python-flatbuffers pkgs/main/noarch::python-flatbuffers-1.12-pyhd3eb1b0_0
requests pkgs/main/noarch::requests-2.27.1-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-1.7.3-py38h0a974cb_0
six pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_0
snappy pkgs/main/win-64::snappy-1.1.8-h33f27b4_0
tensorboard pkgs/main/noarch::tensorboard-2.6.0-py_1
tensorboard-data-~ pkgs/main/win-64::tensorboard-data-server-0.6.0-py38haa95532_0
tensorboard-plugi~ pkgs/main/noarch::tensorboard-plugin-wit-1.6.0-py_0
tensorflow pkgs/main/win-64::tensorflow-2.6.0-mkl_py38hdc16138_0
tensorflow-base pkgs/main/win-64::tensorflow-base-2.6.0-mkl_py38h9201259_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::urllib3-1.26.8-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-3.7.0-pyhd3eb1b0_0
zlib pkgs/main/win-64::zlib-1.2.11-h8cc25b3_4
The following packages will be DOWNGRADED:
wheel 0.37.1-pyhd3eb1b0_0 --> 0.35.1-pyhd3eb1b0_0
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(F:\SHABBIR\BEPROJ\env) C:\Users\Shabbir>python -m pip install --upgrade pip
Requirement already satisfied: pip in f:\shabbir\beproj\env\lib\site-packages (21.2.2)
Collecting pip
Using cached pip-22.0.3-py3-none-any.whl (2.1 MB)
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 21.2.2
Uninstalling pip-21.2.2:
Successfully uninstalled pip-21.2.2
Successfully installed pip-22.0.3
(F:\SHABBIR\BEPROJ\env) C:\Users\Shabbir>python -m pip install rasa
Collecting rasa
Using cached rasa-3.0.6-py3-none-any.whl (796 kB)
Collecting sanic<22.0.0,>=21.6.0
Using cached sanic-21.12.1-py3-none-any.whl (139 kB)
Collecting jsonschema<3.3,>=3.2
Using cached jsonschema-3.2.0-py2.py3-none-any.whl (56 kB)
Collecting pykwalify<1.9,>=1.7
Using cached pykwalify-1.8.0-py2.py3-none-any.whl (24 kB)
Requirement already satisfied: requests<3.0,>=2.23 in f:\shabbir\beproj\env\lib\site-packages (from rasa) (2.27.1)
Collecting tensorflow-probability<0.14,>=0.11
Using cached tensorflow_probability-0.13.0-py2.py3-none-any.whl (5.4 MB)
Collecting slackclient<3.0.0,>=2.0.0
Using cached slackclient-2.9.3-py2.py3-none-any.whl (96 kB)
Collecting dask==2021.11.2
Using cached dask-2021.11.2-py3-none-any.whl (1.0 MB)
Collecting fbmessenger<6.1.0,>=6.0.0
Using cached fbmessenger-6.0.0-py2.py3-none-any.whl (11 kB)
Collecting rasa-sdk<3.1.0,>=3.0.4
Using cached rasa_sdk-3.0.4-py3-none-any.whl (41 kB)
Collecting async_generator<1.11,>=1.10
Using cached async_generator-1.10-py3-none-any.whl (18 kB)
Collecting twilio<6.51,>=6.26
Using cached twilio-6.50.1-py2.py3-none-any.whl
Collecting ruamel.yaml<0.17.0,>=0.16.5
Using cached ruamel.yaml-0.16.13-py2.py3-none-any.whl (111 kB)
Collecting tqdm<5.0,>=4.31
Using cached tqdm-4.62.3-py2.py3-none-any.whl (76 kB)
Collecting CacheControl<0.13.0,>=0.12.9
Using cached CacheControl-0.12.10-py2.py3-none-any.whl (20 kB)
Collecting cloudpickle<1.7,>=1.2
Using cached cloudpickle-1.6.0-py3-none-any.whl (23 kB)
Collecting google-auth<3.0.0,>=2.3.3
Using cached google_auth-2.6.0-py2.py3-none-any.whl (156 kB)
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Using cached pydot-1.4.2-py2.py3-none-any.whl (21 kB)
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Installing collected packages: wcwidth, tabulate, sanic-routing, regex, pytz, python-crfsuite, pyreadline3, pamqp, msgpack, keras, kafka-python, flatbuffers, docopt, clang, chardet, websockets, ujson, tzlocal, typing-utils, typeguard, toolz, threadpoolctl, terminaltables, tarsafe, sentry-sdk, sanic-jwt, ruamel.yaml.clib, redis, pyyaml, python-engineio, python-dateutil, pyrsistent, pyparsing, pymongo, psycopg2-binary, prompt-toolkit, pillow, numpy, networkx, locket, kiwisolver, jsonpickle, joblib, jmespath, humanfriendly, httptools, greenlet, future, fsspec, fire, dnspython, dm-tree, decorator, cycler, colorhash, colorclass, colorama, cloudpickle, bidict, attrs, async-timeout, async_generator, aiofiles, absl-py, twilio, tqdm, tensorflow-probability, tensorflow_hub, tensorflow-addons, SQLAlchemy, sanic, ruamel.yaml, rocketchat_API, requests-toolbelt, randomname, questionary, python-socketio, pyTelegramBotAPI, pydot, partd, packaging, mattermostwrapper, matplotlib, jsonschema, google-auth, fbmessenger, coloredlogs, CacheControl, botocore, apscheduler, aiormq, aiohttp, webexteamssdk, slackclient, sklearn-crfsuite, scikit-learn, sanic-plugin-toolkit, s3transfer, pykwalify, dask, aio-pika, tensorboard, sanic-cors, boto3, rasa-sdk, rasa
Attempting uninstall: flatbuffers
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Found existing installation: google-auth 1.33.0
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Found existing installation: tensorboard 2.6.0
Uninstalling tensorboard-2.6.0:
Successfully uninstalled tensorboard-2.6.0
Successfully installed CacheControl-0.12.10 SQLAlchemy-1.4.31 absl-py-0.13.0 aio-pika-6.8.2 aiofiles-0.8.0 aiohttp-3.7.4 aiormq-3.3.1 apscheduler-3.7.0 async-timeout-3.0.1 async_generator-1.10 attrs-21.2.0 bidict-0.21.4 boto3-1.20.48 botocore-1.23.48 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-5.1.1 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-2022.1.0 future-0.18.2 google-auth-2.6.0 greenlet-1.1.2 httptools-0.3.0 humanfriendly-10.0 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-9.0.1 prompt-toolkit-2.0.10 psycopg2-binary-2.9.3 pyTelegramBotAPI-3.8.3 pydot-1.4.2 pykwalify-1.8.0 pymongo-3.10.1 pyparsing-3.0.7 pyreadline3-3.4.1 pyrsistent-0.18.1 python-crfsuite-0.9.7 python-dateutil-2.8.2 python-engineio-4.3.1 python-socketio-5.5.1 pytz-2021.3 pyyaml-6.0 questionary-1.10.0 randomname-0.1.5 rasa-3.0.6 rasa-sdk-3.0.4 redis-3.5.3 regex-2021.8.28 requests-toolbelt-0.9.1 rocketchat_API-1.16.0 ruamel.yaml-0.16.13 ruamel.yaml.clib-0.2.6 s3transfer-0.5.1 sanic-21.9.3 sanic-cors-1.0.1 sanic-jwt-1.7.0 sanic-plugin-toolkit-1.2.1 sanic-routing-0.7.2 scikit-learn-0.24.2 sentry-sdk-1.3.1 sklearn-crfsuite-0.3.6 slackclient-2.9.3 tabulate-0.8.9 tarsafe-0.0.3 tensorboard-2.8.0 tensorflow-addons-0.14.0 tensorflow-probability-0.13.0 tensorflow_hub-0.12.0 terminaltables-3.1.10 threadpoolctl-3.1.0 toolz-0.11.2 tqdm-4.62.3 twilio-6.50.1 typeguard-2.13.3 typing-utils-0.1.0 tzlocal-2.1 ujson-4.3.0 wcwidth-0.2.5 webexteamssdk-1.6 websockets-10.1
(F:\SHABBIR\BEPROJ\env) C:\Users\Shabbir>f:
(F:\SHABBIR\BEPROJ\env) F:\>cd F:\SHABBIR\BEPROJ
(F:\SHABBIR\BEPROJ\env) F:\SHABBIR\BEPROJ>python -m rasa init
Welcome to Rasa! π€
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! ππ½
? Please enter a path where the project will be created [default: current directory]
? Directory 'F:\SHABBIR\BEPROJ' is not empty. Continue? Yes
Created project directory at 'F:\SHABBIR\BEPROJ'.
Finished creating project structure.
? Do you want to train an initial model? πͺπ½ Yes
Training an initial model...
Traceback (most recent call last):
File "F:\SHABBIR\BEPROJ\env\lib\runpy.py", line 192, in _run_module_as_main
return _run_code(code, main_globals, None,
File "F:\SHABBIR\BEPROJ\env\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "F:\SHABBIR\BEPROJ\env\lib\site-packages\rasa\__main__.py", line 139, in <module>
main()
File "F:\SHABBIR\BEPROJ\env\lib\site-packages\rasa\__main__.py", line 121, in main
cmdline_arguments.func(cmdline_arguments)
File "F:\SHABBIR\BEPROJ\env\lib\site-packages\rasa\cli\scaffold.py", line 238, in run
init_project(args, path)
File "F:\SHABBIR\BEPROJ\env\lib\site-packages\rasa\cli\scaffold.py", line 132, in init_project
print_train_or_instructions(args)
File "F:\SHABBIR\BEPROJ\env\lib\site-packages\rasa\cli\scaffold.py", line 64, in print_train_or_instructions
training_result = rasa.train(
File "F:\SHABBIR\BEPROJ\env\lib\site-packages\rasa\api.py", line 103, in train
from rasa.model_training import train
File "F:\SHABBIR\BEPROJ\env\lib\site-packages\rasa\model_training.py", line 6, in <module>
import randomname
ModuleNotFoundError: No module named 'randomname'
pip3 install randomname==0.1.5
Try to specify a version that is compatible with the module (rasa in this case) but isn't installed.
I ran pip3 install randomname==
with any version. If pip shows incompatibility error, should return a line with allowed versions. Mine returned randomname<0.2.0,>=0.1.5
. So I forced install 0.1.5, that i didn't have.
pip3 install randomname==0.1.5
Try to specify a version that is compatible with the module (rasa in this case) but isn't installed. I ranpip3 install randomname==
with any version. If pip shows incompatibility error, should return a line with allowed versions. Mine returnedrandomname<0.2.0,>=0.1.5
. So I forced install 0.1.5, that i didn't have.
Thanks it worked for me and solved my issue
HI! unfortunately i have the same problem too. I tried everything you wrote on comments but nothing works, I downloaded rasa like this : (venv) C:\Users\dell\PycharmProjects\pythonProject7>pip install rasa
then when it finished, to check i wrote like this and this what happened:
(venv) C:\Users\dell\PycharmProjects\pythonProject7>rasa --version
Traceback (most recent call last):
File "C:\Users\dell\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Users\dell\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "C:\Users\dell\PycharmProjects\pythonProject7\venv\Scripts\rasa.exe__main.py", line 4, in
absl-py 1.4.0 aio-pika 8.2.3 aiofiles 24.1.0 aiogram 2.15 aiohttp 3.9.5 aiohttp-retry 2.8.3 aiormq 6.4.2 aiosignal 1.3.1 APScheduler 3.9.1.post1 astunparse 1.6.3 async-timeout 4.0.3 attrs 22.1.0 Babel 2.15.0 bidict 0.23.1 boto3 1.34.136 botocore 1.34.136 CacheControl 0.12.14 cachetools 5.3.3 certifi 2024.6.2 cffi 1.16.0 charset-normalizer 3.3.2 click 8.1.7 cloudpickle 2.2.1 colorama 0.4.6 colorclass 2.2.2 coloredlogs 15.0.1 colorhash 1.2.1 confluent-kafka 2.4.0 cryptography 42.0.8 cycler 0.12.1 dask 2022.10.2 dnspython 2.3.0 docopt 0.6.2 fbmessenger 6.0.0 fire 0.6.0 flatbuffers 24.3.25 fonttools 4.53.0 frozenlist 1.4.1 fsspec 2024.6.1 future 1.0.0 gast 0.4.0 google-auth 2.30.0 google-auth-oauthlib 1.0.0 google-pasta 0.2.0 greenlet 3.0.3 grpcio 1.64.1 h11 0.14.0 h5py 3.11.0 httptools 0.6.1 humanfriendly 10.0 idna 3.7 importlib_metadata 8.0.0 jax 0.4.30 jaxlib 0.4.30 jmespath 1.0.1 joblib 1.2.0 jsonpickle 3.0.4 jsonschema 4.17.3 keras 2.12.0 kiwisolver 1.4.5 libclang 18.1.1 locket 1.0.0 Markdown 3.6 MarkupSafe 2.1.5 matplotlib 3.5.3 mattermostwrapper 2.2 ml-dtypes 0.4.0 msgpack 1.0.8 multidict 5.2.0 networkx 2.6.3 numpy 1.23.5 oauthlib 3.2.2 opt-einsum 3.3.0 packaging 20.9 pamqp 3.2.1 partd 1.4.2 pillow 10.3.0 pip 24.1.1 pluggy 1.5.0 portalocker 2.10.0 prompt-toolkit 3.0.28 protobuf 4.23.3 psycopg2-binary 2.9.9 pyasn1 0.6.0 pyasn1_modules 0.4.0 pycparser 2.22 pydantic 1.10.9 pydot 1.4.2 PyJWT 2.8.0 pykwalify 1.8.0 pymongo 4.3.3 pyparsing 3.1.2 pyreadline3 3.4.1 pyrsistent 0.20.0 python-crfsuite 0.9.10 python-dateutil 2.8.2 python-engineio 4.9.1 python-socketio 5.11.3 pytz 2022.7.1 pywin32 306 PyYAML 6.0.1 questionary 1.10.0 randomname 0.1.5 rasa 3.6.20 rasa-sdk 3.6.2 redis 4.6.0 regex 2022.10.31 requests 2.32.3 requests-oauthlib 2.0.0 requests-toolbelt 1.0.0 rocketchat-API 1.30.0 rsa 4.9 ruamel.yaml 0.17.21 ruamel.yaml.clib 0.2.8 s3transfer 0.10.2 sanic 21.12.2 Sanic-Cors 2.0.1 sanic-jwt 1.8.0 sanic-routing 0.7.2 scikit-learn 1.1.3 scipy 1.10.1 sentry-sdk 1.14.0 setuptools 70.1.1 simple-websocket 1.0.0 six 1.16.0 sklearn-crfsuite 0.3.6 slack_sdk 3.30.0 SQLAlchemy 1.4.52 structlog 23.3.0 structlog-sentry 2.1.0 tabulate 0.9.0 tarsafe 0.0.4 tensorboard 2.12.3 tensorboard-data-server 0.7.2 tensorflow 2.12.0 tensorflow-estimator 2.12.0 tensorflow-hub 0.13.0 tensorflow-intel 2.12.0 tensorflow-io-gcs-filesystem 0.31.0 termcolor 2.4.0 terminaltables 3.1.10 threadpoolctl 3.5.0 toolz 0.12.1 tqdm 4.66.4 twilio 8.2.2 typing_extensions 4.12.2 typing-utils 0.1.0 tzdata 2024.1 tzlocal 5.2 ujson 5.10.0 urllib3 1.26.19 wcwidth 0.2.13 webexteamssdk 1.6.1 websockets 10.4 Werkzeug 3.0.3 wheel 0.43.0 wrapt 1.14.1 wsproto 1.2.0 yarl 1.9.4 zipp 3.19.2
can you help me to solve this issue? Best regards.
Rasa Open Source version
3.0.4
Rasa SDK version
No response
Rasa X version
No response
Python version
3.7
What operating system are you using?
Windows
What happened?
Error while training new instance
Command / Request
Relevant log output