TypeError: 'NoneType' object is not iterable

[0x11c11e]

Hi,

Why do I get the error when running the following code?

`phrases = ["Can you recommend some upscale restaurants in Newyork?", "What are the famous places we should not miss in Russia?" ]

for phrase in phrases: print("-"100) print("Input_phrase: ", phrase) print("-"100) para_phrases = parrot.augment(input_phrase=phrase, use_gpu=False, do_diverse=True, diversity_ranker="levenshtein") for para_phrase in para_phrases: print(para_phrase)`

Error:

`TypeError Traceback (most recent call last) /home/user/Code/Parrot/main.ipynb Cell 4 in <cell line: 5>() 8 print("-"*100) 9 para_phrases = parrot.augment(input_phrase=phrase, use_gpu=False, do_diverse=True, diversity_ranker="levenshtein") ---> 10 for para_phrase in para_phrases: 11 print(para_phrase)

TypeError: 'NoneType' object is not iterable`

[jasontian6666]

Same here.

[rahulpr-kore]

You could do something like this:

  if not para_phrases:
      continue
  for para_phrase in para_phrases:
      print("[INFO] Generated: {}".format(para_phrase[0]))

[jasontian6666]

@rahulpr-kore Thank you. But this only ignores the issue without any fix. I still can't get any result.

[MansiSharma98]

Same here. This is so frustrating!!

what the parrot paraphraser usually returns: a list of tuples each tuple consists of two things : paraphrased string token_count

if we give max_return_phrases = 3, then it will return a list of 3 such tuples.

but it is randomly returning None for sentences and there is no definite pattern, if I rerun the cell for the same sentence, it then sometimes returns the paraphrases.

[tsikerdekis]

If you look at the code, there are limits that could lead to None if not good candidates are found: https://github.com/PrithivirajDamodaran/Parrot_Paraphraser/blob/2cffbe911341e52dc73b77f9b0154c18d570603f/parrot/parrot.py#L130

You can bypass this by lowering those limits. For example:

para_phrases = None
    fluency_threshold = 0.90
    adequacy_threshold = 0.99
    iter = 0
    while para_phrases == None:
        para_phrases = parrot.augment(input_phrase=paraphrase_sent,
                                diversity_ranker="levenshtein",
                                do_diverse=False,
                                max_return_phrases = 1, 
                                max_length=1000, 
                                adequacy_threshold = adequacy_threshold, 
                                fluency_threshold = fluency_threshold)
        fluency_threshold -= 0.10
        adequacy_threshold -= 0.10
        iter += 1
        print(iter)
    return para_phrases[0][0]

[PrithivirajDamodaran]

I added a new demo notebook, and everything works fine. (check for the link in Readme)