I am getting below error in centos 7 when run gunicorn where i dont see any problem for windows,
from platform import create_app
ImportError: cannot import name 'create_app'
from platform import create_app
app = create_app()
if __name__ == "__main__":
app.run(debug=True)
Using:
Python 3.6.5
Flask 1.1.1
Werkzeug 0.15.5
gunicorn (version 19.9.0)
Related
I am using the following libraries:
import pandas as pd
import numpy as np
import googlemaps
from geopy.geocoders import Nominatim
import sys
from dateutil import parser
from geo import *
import re
I already installed in the prompt:
pip install GoogleMaps
pip install geopy
pip install geopandas
conda install -c conda-forge geopandas
However, I am still having the following error:
> ModuleNotFoundError Traceback (most recent call
> last) <ipython-input-1-456abdb5bc33> in <module>
> 5 import sys
> 6 from dateutil import parser
> ----> 7 from geo import *
> 8 import re
ModuleNotFoundError: No module named 'geo'
I really appreciate any help to solve this error
Have you tried
pip install geo-py
?
https://pypi.org/project/geo-py/
Google Colab seems throwing the below error while trying to import Tensorflow, while it was working okey couple of weeks ago
%tensorflow_version 1.x
import sys
import codecs
import tensorflow as tf
from tqdm import tqdm
from chardet import detect
from keras_radam import RAdam
from keras import backend as K
from keras_bert import load_trained_model_from_checkpoint
import os
import numpy as np
import pandas as pd
/usr/local/lib/python3.6/dist-packages/keras/__init__.py in <module>()
4 except ImportError:
5 raise ImportError(
----> 6 'Keras requires TensorFlow 2.2 or higher. '
7 'Install TensorFlow via `pip install tensorflow`')
8
ImportError: Keras requires TensorFlow 2.2 or higher. Install TensorFlow via `pip install tensorflow`
---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the
"Open Examples" button below.
NOTE : am running on TPU and alreadt tried !pip install tensorflow but reuirements are satisfaied
This should suffice i feel
%tensorflow_version 2.x
import tensorflow as tf
This has always worked for me in Google Colab. I think the issue is that you are giving %tensorflow_version as 1.x please try changing that to 2.x
I had to re-order my imports like below and used keras version 2.3.0
%tensorflow_version 1.x
import sys
import codecs
import tensorflow as tf
!pip install keras-bert
!pip install keras-rectified-adam
!pip install keras==2.3.0
from tqdm import tqdm
from chardet import detect
from keras_radam import RAdam
from keras import backend as K
from keras_bert import load_trained_model_from_checkpoint
import os
import numpy as np
import pandas as pd
I would like to add model analysis to my model but was unable to import the libraries:
I am using datalab environment.
import tensorflow as tf
!pip install tensorflow_model_analysis
import tensorflow_model_analysis as tfma
The error is:
ImportErrorTraceback (most recent call last)
<ipython-input-6-f85e4d8fbd99> in <module>()
----> 1 import tensorflow_model_analysis as tfma
/usr/local/envs/py2env/lib/python2.7/site-packages/tensorflow_model_analysis/__init__.py in <module>()
15
16
---> 17 from tensorflow_model_analysis import view
18 from tensorflow_model_analysis.api import tfma_unit as test
19 from tensorflow_model_analysis.api.model_eval_lib import * # pylint: disable=wildcard-import
ImportError: cannot import name view
Please advice what will be the right way to import the library.
Thanks,
eilalan
Working for me now with the following installation:
python 2.7 - to support apache beam
pip install pip==9.0.3 # I am not sure what is the reason, but essential for apache beam pipelines execution
pip install --upgrade tensorflow
pip install tensorflow-model-analysis
import tensorflow_model_analysis as tfma
After I upgraded to OSX Mojave (Developer beta 2) I get an error every time I use GCP and also at reinstalling it.
ERROR: gcloud failed to load: No module named zlib
gcloud_main = _import_gcloud_main()
import googlecloudsdk.gcloud_main
from googlecloudsdk.calliope import base
from googlecloudsdk.calliope import display
from googlecloudsdk.calliope import display_taps
from googlecloudsdk.core.resource import resource_printer_base
from googlecloudsdk.core.resource import resource_projector
from apitools.base.py import encoding as protorpc_encoding
from apitools.base.py.base_api import *
from apitools.base.py import http_wrapper
import httplib2
from httplib2.python2.httplib2 import *
import gzip
import zlib
I have tried to reinstall python as well as zlib through brew; but it did not work.
Per page 3 of the release notes: https://download.developer.apple.com/Developer_Tools/Xcode_10_beta_3/Release_Notes_for_Xcode_10_beta_3.pdf, you first need to install the package at: /Library/Developer/CommandLineTools/Packages/macOS_SDK_headers_for_macOS_10.14.pkg
open /Library/Developer/CommandLineTools/Packages/macOS_SDK_headers_for_macOS_10.14.pkg
Then you need to reinstall python2 from brew:
brew reinstall python2
After that you can brew cask install google-cloud-sdk and it will work
I'm running the official TF docker repo using the Jupyter UI on localhost. It seems that TF is working in general, as I am able to import it, but when trying to import the distributions module I get an error:
print tf.__version__
import tf.distributions as dist
1.8.0
ImportErrorTraceback (most recent call last)
<ipython-input-3-4d440943cb46> in <module>()
1 print tf.__version__
----> 2 import tf.distributions as dist
ImportError: No module named tf.distributions
Try this
import tensorflow as tf
from tensorflow import distributions as dist
I don't think you can use import aliases for other import statements in python. I'm not too sure about this, but I think that's the problem.
FYI, I tested this on Python 3.5.2 and Tensorflow 1.8.0