Open asingh9530 opened 6 years ago
change line 46 to self.token_to_id = dict((k, self.full_token_to_id[k]) for k in list(self.full_token_to_id.keys())[:max_vocabulary_size])
change line 46 to self.token_to_id = dict((k, self.full_token_to_id[k]) for k in list(self.full_token_to_id.keys())[:max_vocabulary_size])
It worked.. Thank you..
change line 46 to
self.token_to_id = dict((k, self.full_token_to_id[k]) for k in list(self.full_token_to_id.keys())[:max_vocabulary_size])
I changed line 46 but still got the error:
44 full_token_and_id = zip(vocabulary, range(len(vocabulary)))
45 self.full_token_to_id = dict(full_token_and_id)
---> 46 self.token_to_id = dict((k, self.full_token_to_id[k]) for k in list(self.full_token_to_id.keys())[:max_vocabulary_size])
47
48 self.id_to_token = {v: k for k, v in self.token_to_id.items()}
TypeError: 'zip' object is not subscriptable
after changing the line 46 best to restart kernel then shld work fine
When i tried running python correct_text.py --train_path /movie_dialog_train.txt \ --val_path /movie_dialog_val.txt \ --config DefaultMovieDialogConfig \ --data_reader_type MovieDialogReader \ --model_path /movie_dialog_model
it gives me error
File "correct_text.py", line 438, in
tf.app.run()
File "/home/abhinavsingh/anaconda3/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "correct_text.py", line 413, in main
data_reader = MovieDialogReader(config, FLAGS.train_path)
File "/home/abhinavsingh/deep-text-corrector-master/text_corrector_data_readers.py", line 82, in init
dataset_copies=dataset_copies)
File "/home/abhinavsingh/deep-text-corrector-master/data_reader.py", line 46, in init
self.token_to_id = dict(full_token_and_id[:max_vocabulary_size])
TypeError: 'zip' object is not subscriptable