deep-learning-analytics commited on
Commit
d10a88b
·
1 Parent(s): 1e4b80c

Update app.py

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Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -10,7 +10,7 @@ model = T5ForConditionalGeneration.from_pretrained('deep-learning-analytics/Gram
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  def correct_grammar(input_text,num_return_sequences=1):
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  batch = tokenizer([input_text],truncation=True,padding='max_length',max_length=64, return_tensors="pt").to(torch_device)
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  translated = model.generate(**batch,max_length=64,num_beams=2, num_return_sequences=num_return_sequences, temperature=1.5)
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- tgt_text = tokenizer.batch_decode(translated, skip_special_tokens=True)
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  return tgt_text
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  if text:
 
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  def correct_grammar(input_text,num_return_sequences=1):
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  batch = tokenizer([input_text],truncation=True,padding='max_length',max_length=64, return_tensors="pt").to(torch_device)
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  translated = model.generate(**batch,max_length=64,num_beams=2, num_return_sequences=num_return_sequences, temperature=1.5)
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+ tgt_text = tokenizer.batch_decode(translated, skip_special_tokens=True)[0]
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  return tgt_text
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  if text: