eljanmahammadli commited on
Commit
d4ada6d
1 Parent(s): d815872

added rounding to the similarity

Browse files
__pycache__/utils.cpython-310.pyc DELETED
Binary file (7.22 kB)
 
__pycache__/utils.cpython-311.pyc DELETED
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__pycache__/writing_analysis.cpython-310.pyc DELETED
Binary file (4.6 kB)
 
app.py CHANGED
@@ -159,7 +159,7 @@ def plagiarism_check(
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  for ind in index:
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  formatted_tokens.append(
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  (
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- urlList[ind] + " --- Matching Score: " + str(urlScore[ind]),
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  "[" + str(urlMap[ind]) + "]",
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  )
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  )
@@ -273,7 +273,7 @@ def build_date(year, month, day):
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  return f"{year}{months[month]}{day}"
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  def len_validator(text):
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- min_chars = 750
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  if len(text) < min_chars:
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  return f"Warning! Input length is {len(text)}. Please input a text that is greater than {min_chars} characters long. Recommended length {min_chars*2} characters."
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  else :
 
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  for ind in index:
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  formatted_tokens.append(
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  (
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+ urlList[ind] + " --- Matching Score: " + f"{str(round(urlScore[ind] * 100, 2))}%",
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  "[" + str(urlMap[ind]) + "]",
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  )
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  )
 
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  return f"{year}{months[month]}{day}"
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  def len_validator(text):
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+ min_chars = 350
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  if len(text) < min_chars:
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  return f"Warning! Input length is {len(text)}. Please input a text that is greater than {min_chars} characters long. Recommended length {min_chars*2} characters."
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  else :
utils.py CHANGED
@@ -60,7 +60,7 @@ def sentence_similarity(text1, text2):
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  embedding_2 = model.encode(text2, convert_to_tensor=True)
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  o = util.pytorch_cos_sim(embedding_1, embedding_2)
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- return round(o.item(), 2)
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  def get_soup_requests(url):
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  page = requests.get(url)
 
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  embedding_2 = model.encode(text2, convert_to_tensor=True)
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  o = util.pytorch_cos_sim(embedding_1, embedding_2)
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+ return o.item()
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  def get_soup_requests(url):
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  page = requests.get(url)