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.
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