Rasa version: 0.14.6
Python version: 3.6.4
Operating system: osx
Issue:
Running a snippet with this line :
from rasa_nlu.converters import load_data
Getting this error :
Traceback (most recent call last): File "nlu_model.py", line 1, in
from rasa_nlu.converters import load_data ModuleNotFoundError: No
module named 'rasa_nlu.converters'
However, pip freeze | grep rasa-nlu returns
rasa-nlu==0.14.6
Content of configuration file (config.yml):
language: "en"
pipeline: spacy_sklearn
I guess you are following wrong documentation as you are using v0.14.6 the appropriate way to import load_data is :
from rasa_nlu.training_data import load_data
In rasa-nlu version 0.14.6 and newer versions the correct path is
rasa_nlu.convert.
Depending on what you are trying to do with the command this now would be something like:
from rasa_nlu.convert import convert_training_data,
from rasa_nlu.convert import add_arguments or
from rasa_nlu.convert import main
where main() is:
def main(args):
convert_training_data(args.data_file,
args.out_file,
args.format,
args.language)
Related
I am trying to execute a script in 'Azure Notebooks' to upload blob to Azure Data lake Gen 2 using 'Azure-storage-blob', but couldn't as I am unable to import 'BlobServiceClient'. I have latest version of 'Azure-storage-blob' - 12.9.0 installed. But still facing issue in importing 'BlobServiceClient'
Below is the code
import azure.storage.blob
from azure.storage.blob import blockblobservice
import os, uuid
from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient, __version__
Below is the error
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-278-283cd1817c6e> in <module>
7 from azure.storage.blob import blockblobservice
8 import os, uuid
----> 9 from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient, __version__
10
11 try:
ImportError: cannot import name 'BlobServiceClient'
Try with this
1. Uninstall azure-storage-blob using: pip uninstall azure-storage-blob.
2. Reinstall azure-storage-blob using: pip install azure-storage-blob.
And from your code from azure.storage.blob import blockblobservice you are trying to import blockblobservice . In newer versions of azure-storage-blob the import BlockBlobService has been renamed to BlobServiceClient.
I tried with this import statement
from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient, __version__
OUTPUT:
For more details refer this document
I am trying to install tensor flow on my macOS M1.
As per chip compatibility I know that not all the pip images of tensor flow works or are even compatible. But I found this repository
https://github.com/apple/tensorflow_macos
Which is supposed to be working on Apple M1.
After the installation, I downgraded my python to version 3.8 and start the installation, everything went just fine without any issue.
just for testing purpose, I found this script online.
#!/usr/bin/env python
# coding: utf-8
# ## Sentiment Analysis on US Airline Reviews
# In[1]:
import pandas as pd
import matplotlib.pyplot as plt
from tensorflow.python.compiler.mlcompute import mlcompute
mlcompute.set_mlc_device(device_name='cpu')
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM,Dense, Dropout, SpatialDropout1D
from tensorflow.keras.layers import Embedding
df = pd.read_csv("./Tweets.csv")
# In[2]:
df.head()
# In[23]:
df.columns
# In[4]:
tweet_df = df[['text','airline_sentiment']]
print(tweet_df.shape)
tweet_df.head(5)
# In[22]:
tweet_df = tweet_df[tweet_df['airline_sentiment'] != 'neutral']
print(tweet_df.shape)
tweet_df.head(5)
# In[21]:
tweet_df["airline_sentiment"].value_counts()
# In[6]:
sentiment_label = tweet_df.airline_sentiment.factorize()
sentiment_label
# In[7]:
tweet = tweet_df.text.values
tokenizer = Tokenizer(num_words=5000)
tokenizer.fit_on_texts(tweet)
vocab_size = len(tokenizer.word_index) + 1
encoded_docs = tokenizer.texts_to_sequences(tweet)
padded_sequence = pad_sequences(encoded_docs, maxlen=200)
# In[8]:
print(tokenizer.word_index)
# In[9]:
print(tweet[0])
print(encoded_docs[0])
# In[10]:
print(padded_sequence[0])
# In[11]:
embedding_vector_length = 32
model = Sequential()
model.add(Embedding(vocab_size, embedding_vector_length, input_length=200) )
model.add(SpatialDropout1D(0.25))
model.add(LSTM(50, dropout=0.5, recurrent_dropout=0.5))
model.add(Dropout(0.2))
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy',optimizer='adam', metrics=['accuracy'])
print(model.summary())
# In[12]:
history = model.fit(padded_sequence,sentiment_label[0],validation_split=0.2, epochs=5, batch_size=32)
# In[16]:
plt.plot(history.history['accuracy'], label='acc')
plt.plot(history.history['val_accuracy'], label='val_acc')
plt.legend()
plt.show()
plt.savefig("Accuracy plot.jpg")
# In[25]:
plt.plot(history.history['loss'], label='loss')
plt.plot(history.history['val_loss'], label='val_loss')
plt.legend()
plt.show()
plt.savefig("Loss plot.jpg")
# In[18]:
def predict_sentiment(text):
tw = tokenizer.texts_to_sequences([text])
tw = pad_sequences(tw,maxlen=200)
prediction = int(model.predict(tw).round().item())
print("Predicted label: ", sentiment_label[1][prediction])
# In[19]:
test_sentence1 = "I enjoyed my journey on this flight."
predict_sentiment(test_sentence1)
test_sentence2 = "This is the worst flight experience of my life!"
predict_sentiment(test_sentence2)
But when I run it,
I get this error
Traceback (most recent call last):
File "/Users/user/Desktop/MachineLearning/env/lib/python3.8/site-packages/tensorflow/python/pywrap_tensorflow.py", line 64, in <module>
from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: dlopen(/Users/user/Desktop/MachineLearning/env/lib/python3.8/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so, 6): no suitable image found. Did find:
/Users/user/Desktop/MachineLearning/env/lib/python3.8/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so: mach-o, but wrong architecture
/Users/user/Desktop/MachineLearning/env/lib/python3.8/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so: mach-o, but wrong architecture
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "Sentiment Analysis.py", line 13, in <module>
from tensorflow.python.compiler.mlcompute import mlcompute
File "/Users/user/Desktop/MachineLearning/env/lib/python3.8/site-packages/tensorflow/__init__.py", line 41, in <module>
from tensorflow.python.tools import module_util as _module_util
File "/Users/user/Desktop/MachineLearning/env/lib/python3.8/site-packages/tensorflow/python/__init__.py", line 39, in <module>
from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow
File "/Users/user/Desktop/MachineLearning/env/lib/python3.8/site-packages/tensorflow/python/pywrap_tensorflow.py", line 83, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/Users/user/Desktop/MachineLearning/env/lib/python3.8/site-packages/tensorflow/python/pywrap_tensorflow.py", line 64, in <module>
from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: dlopen(/Users/user/Desktop/MachineLearning/env/lib/python3.8/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so, 6): no suitable image found. Did find:
/Users/user/Desktop/MachineLearning/env/lib/python3.8/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so: mach-o, but wrong architecture
/Users/user/Desktop/MachineLearning/env/lib/python3.8/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so: mach-o, but wrong architecture
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
The error is about the architecture but I have no idea how to fix. Did anyone found a solution to this problem?
Thank you so much for any help you can provide.
Things should work better now.
As of Oct. 25, 2021 macOS 12 Monterey is generally available.
Upgrade your machine to Monterey or newer OS if you haven't already.
If you have conda installed, I would probably uninstall it. You can have multiple conda versions installed but things can get tricky.
Then follow the instructions from Apple here. I cleaned them up a bit below:
Download and install Conda from Miniforge:
chmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh
sh ~/Downloads/Miniforge3-MacOSX-arm64.sh
source ~/miniforge3/bin/activate
In an active conda environment, install the TensorFlow dependencies, base TensorFlow, and TensorFlow metal:
conda install -c apple tensorflow-deps
pip install tensorflow-macos
pip install tensorflow-metal
You should be good to go with fast training speeds.
I got this message when trying to execute python executable program, build with cxfreeze, but when I execute the python script .py, there is no problems
D:\TEST2000>Get-List-FoldersID-and-Titles.exe Traceback (most recent call last): File "C:\Python-365\lib\site-packages\cx_Freeze\initscripts__startup__.py", line 14, in run module.run() File "C:\Python-365\lib\site-packages\cx_Freeze\initscripts\Console.py", line 26, in run exec(code, m.dict) File "D:\TEST2000\Get-List-FoldersID-and-Titles.py", line 5, in import requests File "C:\Python-365\lib\site-packages\requests__init__.py", line 98, in from . import packages File "C:\Python-365\lib\site-packages\requests\packages.py", line 7, in locals()[package] = import(package) File "C:\Python-365\lib\site-packages\idna__init__.py", line 2, in from .core import * File "C:\Python-365\lib\site-packages\idna\core.py", line 1, in from . import idnadata ImportError: cannot import name 'idnadata'
How do I resolve the ImportError that I am getting?
idnadata is a module from the idna package. When you build the executable with cx_Freeze, use the packages option to include the idna package.
In your setup.py
setup(
options={
"build_exe": {
"packages": ["idna"],
},
},
)
On Mac OS X Mountain Lion, I try
import numpy as np
import os
import statsmodels.api as sm
I get this error:
/System/Library/Frameworks/Python.framework/Versions/2.7/bin/python /Users/idf/PycharmProjects/PyAlgoTrade/GoldvsMiners.py
Traceback (most recent call last):
File "/Users/idf/PycharmProjects/PyAlgoTrade/GoldvsMiners.py", line 9, in <module>
import statsmodels.api as sm
File "/Library/Python/2.7/site-packages/statsmodels-0.0.0-py2.7-macosx-10.8-intel.egg/statsmodels/api.py", line 1, in <module>
import iolib, datasets, tools
ImportError: No module named iolib
If I add
import sys
print("=======")
print sys.path
print("=======")
I get
=======
['/Users/idf/PycharmProjects/PyAlgoTrade', '/Library/Python/2.7/site-packages/pytz-2013b-py2.7.egg', '/Library/Python/2.7/site-packages/statsmodels-0.0.0-py2.7-macosx-10.8-intel.egg', '/Library/Python/2.7/site-packages/pip-1.4-py2.7.egg', '/Users/idf/PycharmProjects/PyAlgoTrade', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python27.zip', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-darwin', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac/lib-scriptpackages', '/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-tk', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-old', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload', '/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/PyObjC', '/Library/Python/2.7/site-packages']
=======
I have tried searching the net, but I am stuck on this one. Any ideas?
Using cx_freeze under ubuntu 12.04. The generation of the package is
done without any errors but when I try to run the package as a
standalone, I get the following error:
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/cx_Freeze/initscripts /Console.py",
line 27, in <module>
exec code in m.__dict__
m m File "Setup_cx_freeze.py", line 3, in <module>
File "/usr/local/lib/python2.7/dist-packages/cx_Freeze/__init__.py",
line 4, in <module>
from cx_Freeze.dist import *
File "/usr/local/lib/python2.7/dist-packages/cx_Freeze/dist.py",
line 3, in <module>
import distutils.command.install
File "/usr/lib/python2.7/distutils/command/install.py", line 21, in <module>
from site import USER_BASE
File "/usr/lib/python2.7/site.py", line 562, in <module>
main()
File "/usr/lib/python2.7/site.py", line 540, in main
abs__file__()
File "/usr/lib/python2.7/site.py", line 100, in abs__file__
m.__file__ = os.path.abspath(m.__file__)
File "/usr/lib/python2.7/email/__init__.py", line 79, in __getattr__
__import__(self.__name__)
ImportError: No module named image
I think what to focus on is the last sentence. "ImportError: No module named image."
The application runs without any problems in pure python environment
So why do I get the Error when running it as a "freeze" package? The
fault is somehow introduced when generating the freeze-package.
I ended up fixing this by explicitly including the package "email.mime" in the setup.py script build exe options.
Missing 'image' is just first part of the problem. Try to add this to your code:
from email.mime.image import MIMEImage
from email.mime.audio import MIMEAudio
from email.mime.message import MIMEMessage
This resolved problems with 'image', 'audio' and 'message'.
Resolved this by installing Python Imaging Library: http://www.pythonware.com/products/pil/
1) python setup.py build
2) sudo python setup.py install