When I run my python script file.py, I get an error ModuleNotFoundError: No module named 'Session'.
The imports on my script:
import os
import sys
import tensorflow as tf
import numpy as np
import random
import time
import requests
from requests import Request, Session
from flask_session import Session
from flask_session.__init__ import Session
import Session
from setup_inception import ImageNet, InceptionModel
You should not use from flask_session import Session
Instead use from flask_session.__init__ import Session
I'm sorry for the late answer, I have solved the problem with command:
import tensorflow.compat.v1 as tf
instead of
import tensorflow as tf
because I 'm using tensorflow 2.4
Related
I'm facing error while importing "import en_ner_bc5cdr_md"
import scispacy
import spacy
from spacy import displacy
from collections import Counter
import en_core_web_sm
import en_ner_bc5cdr_md
import en_core_sci_sm
import en_core_sci_md
import en_ner_bionlp13cg_md
from scispacy.abbreviation import AbbreviationDetector
from scispacy.umls_linking import UmlsEntityLinker
from collections import OrderedDict
from pprint import pprint
Please help
You need to download the model first, try
!pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_ner_bc5cdr_md-0.5.1.tar.gz
i am trying to import the python operator for my airflow 2.2 in a jupyter notebook, but i get an error
this is what i import
import os
import datetime
import logging
import airflow
from airflow import DAG
from airflow.operators.python import PythonOperator
and this is the error "ModuleNotFoundError: No module named 'termios'"
you need to also import termios
import termios
import numpy as np
import torch
import torchvision
from transformers import MarianTokenizer, MarianMTModel
from typing import List
I'm getting
ImportError: cannot import name 'MarianMTModel'
I've already installed transformers. What can I do to solve this issue?
Edit : Does this import Marian model implemented in C++?
I have this code:
from copy import deepcopy
import json
import ray
try:
from ray.rllib.agents.agent import get_agent_class
except ImportError:
from ray.rllib.agents.registry import get_agent_class
from ray.rllib.agents.ppo.ppo_policy import PPOTFPolicy
from ray import tune
from ray.tune.registry import register_env
from ray.tune import run_experiments
I am getting the error:
No module named 'ray.rllib.agents.ppo.ppo_policy'
I tried:
pip install ray;
I re installed the system and reconfigured the environment to solve this problem
I'm very new to deep learning and python and I'm trying to recreate the project at https://github.com/Nagakiran1/Extending-Google-BERT-as-Question-and-Answering-model-and-Chatbot
As I saw that in the project there is a file named Bert_QuestionAnswer.ipynb and with data.txt are the only difference I see from the original Bert repository, I just simply loaded it in my google drive and opened it as a notebook to see it in use.
When I run the first portion dough I get the ModuleNotFoundError: No module named 'modeling'errror.
What library is it part of?
For somoebody this was the problem :
It looks like it's trying to import from the github repo source rather
than the pip package.
If you are running this in a directory that contains the BERT github
repo, try running it elsewhere.
As always many thanks for the help.
This is the code of the file that throws me the error :
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from IPython.core.debugger import set_trace
import collections
import json
import math
import os
import random
import modeling
import optimization
import tokenization
import six
import os
import tensorflow as tf
import logging
logging.getLogger('tensorflow').disabled = True
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import warnings
warnings.filterwarnings("ignore")
import time
from pandas import Series
from nltk.tokenize import sent_tokenize
import gensim.downloader as api
from gensim.parsing.preprocessing import remove_stopwords
word_vectors = api.load("glove-wiki-gigaword-100") # load pre-trained word-vectors from gensim-data
You need to tell python where this module is:
import sys
sys.path.append("/path/to/your/bert/repo")
Because python will search in his system folders and in the current working directory. If you don't run it in the repo, python doesn't find this module.