aman2656 / text2emotion-library

MIT License
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module 'emoji' has no attribute 'UNICODE_EMOJI' #10

Open Khaled-Abdelhamid opened 2 years ago

Khaled-Abdelhamid commented 2 years ago

I'm using text2emoji, and it's working on my machine just fine. However, it's not working neither on google colab nor on docker containers. Here are that comes up when I run it:

  File "./main.py", line 44, in api_extract_emotion
    return extract_emotion(text)
  File "./functionalities/text2emotion.py", line 7, in extract_emotion
    return te.get_emotion(text)
  File "/usr/local/lib/python3.7/site-packages/text2emotion/__init__.py", line 2716, in get_emotion
    text = cleaning(input).split()
  File "/usr/local/lib/python3.7/site-packages/text2emotion/__init__.py", line 2700, in cleaning
    text = emojis_extractor(text)
  File "/usr/local/lib/python3.7/site-packages/text2emotion/__init__.py", line 2569, in emojis_extractor
    a = " ".join(c for c in text if c in emoji.UNICODE_EMOJI).split()
  File "/usr/local/lib/python3.7/site-packages/text2emotion/__init__.py", line 2569, in <genexpr>
    a = " ".join(c for c in text if c in emoji.UNICODE_EMOJI).split()
AttributeError: module 'emoji' has no attribute 'UNICODE_EMOJI'

The link for the Colab notebook is: https://colab.research.google.com/drive/1sCAcIGk2q9dL8dpFYddnsUin2MlhjaRw?usp=sharing the docker container is based on python:3.7-slim image the installed packages on the docker container are

numpy==1.21.6
pandas==1.3.5
boto3==1.21.46
python-multipart==0.0.5
fastapi==0.75.0
uvicorn[standard]==0.17.6
torch==1.11.0
torchvision==0.12.0
torchaudio==0.11.0
gunicorn
transformers==4.11.3
text2emotion==0.0.5
nltk==3.7
google-cloud-language

======================================= Now here are the settings of the working system:

OS: Manjaro Linux x86_64 
Kernel: 5.15.57-2-MANJARO 
Packages: 1676 (pacman), 6 (flatpak), 9 (snap) 
Shell: zsh 5.9 
DE: Plasma 5.24.6 
WM: KWin 
Theme: Breath Light [Plasma], Breeze [GTK2/3] 
Icons: [Plasma], breeze [GTK2/3] 
CPU: Intel i7-7500U (4) @ 3.500GHz 
GPU: AMD ATI Radeon R7 M260/M265 / M340/M360 / M 
GPU: Intel HD Graphics 620 
Memory: 7405MiB / 15899MiB 

and here is a list of all of the installed packages

absl-py==1.0.0
aiodns==3.0.0
aiohttp==3.8.1
aiohttp-cors==0.7.0
aiosignal==1.2.0
aiosmtpd==1.4.2
altair==4.2.0
analytics-python==1.2.9
anyio==3.5.0
appdirs @ file:///home/conda/feedstock_root/build_artifacts/appdirs_1603108395799/work
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
arrow @ file:///home/conda/feedstock_root/build_artifacts/arrow_1643313750486/work
asgiref==3.5.0
astor==0.8.1
astunparse==1.6.3
async-generator==1.10
async-timeout==4.0.2
asynctest==0.13.0
atpublic==3.0.1
attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1640799537051/work
autoflake==1.4
Automat==20.2.0
autopep8 @ file:///home/conda/feedstock_root/build_artifacts/autopep8_1635267974115/work
Babel==2.9.1
backcall==0.2.0
backports.zoneinfo==0.2.1
bamboolib==1.30.1
base58==2.1.1
beautifulsoup4==4.9.3
binaryornot==0.4.4
bitstring==3.1.9
bleach==4.1.0
blessed==1.19.1
blinker==1.4
blis==0.7.8
boto3==1.21.46
botocore==1.24.46
Brotli==1.0.9
brotlipy @ file:///home/conda/feedstock_root/build_artifacts/brotlipy_1648854164153/work
cached-property==1.5.2
cachetools==5.0.0
catalogue==2.0.7
category-encoders==2.5.0
certifi==2022.6.15
cffi @ file:///home/conda/feedstock_root/build_artifacts/cffi_1636046052501/work
chardet @ file:///home/conda/feedstock_root/build_artifacts/chardet_1649184113124/work
charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1644853463426/work
click==7.1.2
click-config-file==0.6.0
click-plugins==1.1.1
cloudpickle==2.0.0
cmdstanpy==0.9.68
colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1602866480661/work
colorful==0.5.4
conda==4.13.0
conda-package-handling @ file:///home/conda/feedstock_root/build_artifacts/conda-package-handling_1649385049221/work
configobj==5.0.6
constantly==15.1.0
convertdate==2.4.0
cookiecutter @ file:///home/conda/feedstock_root/build_artifacts/cookiecutter_1643669229020/work
cryptography @ file:///tmp/build/80754af9/cryptography_1652083456434/work
cssselect==1.1.0
cycler @ file:///home/conda/feedstock_root/build_artifacts/cycler_1635519461629/work
cymem==2.0.6
Cython==0.29.30
dask==2022.2.0
data-cache==0.1.6
dataclasses @ file:///home/conda/feedstock_root/build_artifacts/dataclasses_1628958434797/work
debugpy==1.5.1
decorator==5.1.1
defusedxml==0.7.1
demoji==1.1.0
distlib @ file:///home/conda/feedstock_root/build_artifacts/distlib_1638990147493/work
distributed==2022.2.0
dnspython==2.2.1
email-validator==1.1.3
emoji==1.7.0
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.4.0/en_core_web_sm-3.4.0-py3-none-any.whl
entrypoints==0.4
ephem==4.1.3
et-xmlfile==1.1.0
farasapy==0.0.14
fastapi==0.75.0
filelock @ file:///home/conda/feedstock_root/build_artifacts/filelock_1652442797291/work
flatbuffers==2.0
fonttools @ file:///home/conda/feedstock_root/build_artifacts/fonttools_1651017735934/work
frozenlist==1.3.0
fsspec==2022.3.0
gast==0.5.3
gdown==4.5.1
gitdb==4.0.9
GitPython==3.1.27
google-api-core==2.7.2
google-auth==2.6.6
google-auth-oauthlib==0.4.6
google-cloud-language==2.4.3
google-pasta==0.2.0
googleapis-common-protos==1.56.0
googlesearch-python==1.1.0
googletrans==3.0.0
gpustat==1.0.0b1
grpcio==1.47.0
grpcio-status==1.47.0
h11==0.9.0
h2==3.2.0
h5py==3.6.0
HeapDict==1.0.1
hijri-converter==2.2.4
holidays==0.13
hpack==3.0.0
hstspreload==2021.12.1
htmlmin==0.1.12
httpcore==0.9.1
httptools==0.4.0
httpx==0.13.3
huggingface-hub @ file:///home/conda/feedstock_root/build_artifacts/huggingface_hub_1652353891722/work
humanize==4.2.3
hyperframe==5.2.0
hyperlink==21.0.0
idna==2.10
ImageHash @ file:///home/conda/feedstock_root/build_artifacts/imagehash_1626361020540/work
importlib-metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1648728291958/work
importlib-resources==5.4.0
incremental==21.3.0
install==1.3.5
ipykernel==6.9.1
ipyslickgrid==0.0.3
ipython==7.32.0
ipython-genutils==0.2.0
ipywidgets==7.6.5
isort==5.10.1
itemadapter==0.5.0
itemloaders==1.0.4
jedi==0.18.1
Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1651774399431/work
jinja2-time @ file:///home/conda/feedstock_root/build_artifacts/jinja2-time_1646750632133/work
jmespath==1.0.0
joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1633637554808/work
json5==0.9.6
jsonschema==4.4.0
jupyter==1.0.0
jupyter-client==7.1.2
jupyter-console==6.4.3
jupyter-contrib-core==0.3.3
jupyter-contrib-nbextensions==0.5.1
jupyter-core==4.9.2
jupyter-highlight-selected-word==0.2.0
jupyter-latex-envs==1.4.6
jupyter-nbextensions-configurator==0.4.1
jupyter-server==1.13.5
jupyterlab==3.3.1
jupyterlab-pygments==0.1.2
jupyterlab-server==2.10.3
jupyterlab-widgets==1.0.2
jupyterthemes==0.20.0
keras==2.8.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1648854392523/work
korean-lunar-calendar==0.2.1
langcodes==3.3.0
lesscpy==0.15.0
libclang==14.0.1
locket==0.2.1
LunarCalendar==0.0.9
lxml==4.8.0
Markdown==3.3.7
MarkupSafe @ file:///home/conda/feedstock_root/build_artifacts/markupsafe_1648737551960/work
matplotlib @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-suite_1651609498426/work
matplotlib-inline==0.1.3
mdutils==1.0.0
missingno==0.5.1
mistune==0.8.4
mkl-fft==1.3.1
mkl-random==1.2.2
mkl-service==2.4.0
modin==0.12.1
modin-spreadsheet==0.1.2
mrmr-selection==0.2.5
msgpack==1.0.3
multidict==6.0.2
multimethod==1.8
munkres==1.1.4
murmurhash==1.0.7
mutagen==1.45.1
nbclassic==0.3.6
nbclient==0.5.12
nbconvert==6.4.2
nbformat==5.2.0
nest-asyncio==1.5.4
networkx==2.6.3
nlpaug==1.1.11
nltk==3.7
notebook==6.4.8
notebook-shim==0.1.0
numexpr==2.8.3
numpy==1.21.6
nvidia-ml-py3==7.352.0
oauthlib==3.2.0
opencensus==0.9.0
opencensus-context==0.1.2
openpyxl==3.0.10
opt-einsum==3.3.0
outcome==1.1.0
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1637239678211/work
pandas==1.3.5
pandas-bamboo==0.1.5
pandas-profiling @ file:///home/conda/feedstock_root/build_artifacts/pandas-profiling_1651488952086/work
pandocfilters==1.5.0
parsel==1.6.0
parso==0.8.3
partd==1.2.0
pathy==0.6.2
patsy @ file:///home/conda/feedstock_root/build_artifacts/patsy_1632667180946/work
pexpect==4.8.0
phik @ file:///home/conda/feedstock_root/build_artifacts/phik_1647910144007/work
pickleshare==0.7.5
Pillow @ file:///home/conda/feedstock_root/build_artifacts/pillow_1649817984594/work
pip-chill==1.0.1
plotly==4.14.3
plumbum==1.7.2
ply==3.11
poyo==0.5.0
ppscore==1.2.0
preshed==3.0.6
prometheus-client==0.13.1
prompt-toolkit==3.0.28
prophet==1.0.1
Protego==0.2.1
proto-plus==1.20.6
protobuf==3.20.1
psutil==5.9.0
ptyprocess==0.7.0
py-spy==0.3.11
pyarrow==7.0.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycares==4.1.2
pycodestyle @ file:///home/conda/feedstock_root/build_artifacts/pycodestyle_1633982426610/work
pycosat @ file:///home/conda/feedstock_root/build_artifacts/pycosat_1649384814992/work
pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1636257122734/work
pycryptodomex==3.14.1
pydantic @ file:///home/conda/feedstock_root/build_artifacts/pydantic_1649125970599/work
pydeck==0.7.1
PyDispatcher==2.0.5
pyflakes==2.4.0
Pygments==2.11.2
PyMeeus==0.5.11
Pympler==1.0.1
pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1643496850550/work
pyparsing @ file:///home/conda/feedstock_root/build_artifacts/pyparsing_1652235407899/work
pyrsistent==0.18.1
PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1648857264451/work
pystan==2.19.1.1
python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1626286286081/work
python-dotenv==0.20.0
python-multipart==0.0.5
python-slugify @ file:///home/conda/feedstock_root/build_artifacts/python-slugify_1651150815876/work
pytz @ file:///home/conda/feedstock_root/build_artifacts/pytz_1647961439546/work
pytz-deprecation-shim==0.1.0.post0
PyWavelets @ file:///home/conda/feedstock_root/build_artifacts/pywavelets_1649616401885/work
PyYAML @ file:///home/conda/feedstock_root/build_artifacts/pyyaml_1648757092905/work
pyzmq==22.3.0
qtconsole==5.3.0
QtPy==2.0.1
queuelib==1.6.2
ray==1.12.0
regex @ file:///home/conda/feedstock_root/build_artifacts/regex_1650839925403/work
requests==2.28.1
requests-file==1.5.1
requests-oauthlib==1.3.1
retrying==1.3.3
rfc3986==1.5.0
rpyc==4.1.5
rsa==4.8
ruamel-yaml-conda @ file:///home/conda/feedstock_root/build_artifacts/ruamel_yaml_1636009153751/work
s3transfer==0.5.2
sacremoses @ file:///home/conda/feedstock_root/build_artifacts/sacremoses_1651557636210/work
scikit-learn==0.24.2
scipy @ file:///tmp/build/80754af9/scipy_1641536880743/work
Scrapy==2.6.1
scrapy-user-agents==0.1.1
seaborn @ file:///home/conda/feedstock_root/build_artifacts/seaborn-split_1629095986539/work
selenium==4.1.3
semver==2.13.0
Send2Trash==1.8.0
sentencepiece==0.1.96
service-identity==21.1.0
setuptools-git==1.2
singledispatch==3.7.0
six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work
sklearn==0.0
smart-open==5.2.1
smmap==5.0.0
sniffio==1.2.0
sortedcontainers==2.4.0
soupsieve==2.3.2.post1
spacy==3.4.0
spacy-legacy==3.0.9
spacy-loggers==1.0.3
srsly==2.4.3
starlette==0.17.1
statsmodels @ file:///home/conda/feedstock_root/build_artifacts/statsmodels_1644535599043/work
streamlit==1.7.0
swifter==1.1.3
tables==3.7.0
tangled-up-in-unicode @ file:///home/conda/feedstock_root/build_artifacts/tangled-up-in-unicode_1632832610704/work
tblib==1.7.0
tensorboard==2.8.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorboardX==2.5.1
tensorflow==2.8.0
tensorflow-io-gcs-filesystem==0.25.0
termcolor==1.1.0
terminado==0.13.3
testpath==0.6.0
text-unidecode==1.3
text2emotion==0.0.5
tf-estimator-nightly==2.8.0.dev2021122109
thinc==8.1.0
threadpoolctl==3.1.0
tldextract==3.2.0
tokenizers @ file:///tmp/build/80754af9/tokenizers_1639593992616/work
toml @ file:///home/conda/feedstock_root/build_artifacts/toml_1604308577558/work
toolz==0.11.2
torch==1.11.0
torch-tb-profiler==0.4.0
torchaudio==0.11.0
torchvision==0.12.0
tornado==6.1
tqdm @ file:///home/conda/feedstock_root/build_artifacts/tqdm_1649051611147/work
traitlets==5.1.1
transformers==4.11.3
trio==0.20.0
trio-websocket==0.9.2
twarc==2.11.1
tweepy==4.10.0
Twisted==22.2.0
typer==0.4.2
typing_extensions==4.1.1
tzdata==2021.5
tzlocal==4.1
ua-parser==0.10.0
ujson==5.3.0
unicodedata2 @ file:///home/conda/feedstock_root/build_artifacts/unicodedata2_1649111917568/work
Unidecode @ file:///home/conda/feedstock_root/build_artifacts/unidecode_1646918762405/work
urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1647489083693/work
user-agents==2.2.0
uvicorn==0.17.6
uvloop==0.16.0
validators==0.18.2
verify-email==2.4.3
virtualenv @ file:///tmp/build/80754af9/virtualenv_1620977681940/work
visions @ file:///home/conda/feedstock_root/build_artifacts/visions_1632831254311/work
voila==0.3.2
w3lib==1.22.0
wasabi==0.9.1
watchdog==2.1.6
watchgod==0.8.2
wcwidth==0.2.5
webencodings==0.5.1
websocket-client==1.3.1
websockets==10.2
Werkzeug==2.1.2
widgetsnbextension==3.5.2
wikipedia==1.4.0
wrapt==1.14.1
wsproto==1.1.0
xlrd==2.0.1
yarl==1.7.2
yt-dlp==2022.3.8.2
zict==2.1.0
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1649012893348/work
zope.interface==5.4.0

I hope I find a solution for this quickly, as it's so urgent. Thanks in advance.

vgiotsas commented 2 years ago

I have the same issue as you @Khaled-Abdelhamid in my machine. My Python version 3.8.5 and I also tried with Python 3.9 What python version are you using in your machine that is working?

soroushjavdan commented 2 years ago

I had the same issue! The reason for this issue is that the UNICODE_EMOJI was removed in version 2.0.0 of this module!(#https://github.com/carpedm20/emoji/issues/221)

You can resolve this issue by using older emoji library! I used 1.6.3 which worked fine in my local machine and google colab! !pip install emoji==1.6.3

guyos46 commented 1 year ago

what resolved the issue for me is copying the emoji package folder to the text2emotion package folder

KavehKadkhoda commented 1 year ago

Hi, what about changing this line of code:

a = " ".join(c for c in text if c in emoji.UNICODE_EMOJI).split()

By replacing UNICODE_EMOJI by EMOJI_DATA ?

The following solution works for me, but I think it is possible to safely use the last version!

latest version of emoji==2.1.0 has no attribute Unicode_emoji. Uninstall the existing version and install emoji==1.7.0

pip uninstall emoji pip install emoji==1.7

animeshsg commented 1 year ago

I am still having this issue. Seems like this repository isn't maintained. @KavehKadkhoda , maybe you can raise a PR ?

gavtography commented 1 year ago

This library is beyond messed up. Doing pip install emoji==1.6.3 works but then it just leads to:

Exception has occurred: BadZipFile
File is not a zip file

Garbage repository.