milyiyo commited on
Commit
7668825
1 Parent(s): 6a6499e

Update app.py

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Files changed (1) hide show
  1. app.py +20 -16
app.py CHANGED
@@ -84,24 +84,28 @@ def paraphrase(sentence: str, count: str):
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  text = f"paraphrase: {sentence_input} </s>"
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  # encoding = tokenizer.encode_plus(text, padding=True, return_tensors="pt")
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  encoding = tokenizer(text, return_tensors="pt")
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- input_ids, attention_masks = encoding["input_ids"], encoding["attention_mask"]
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- outputs = model.generate(
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- input_ids=input_ids, attention_mask=attention_masks,
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- max_length=512, # 256,
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- do_sample=True,
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- top_k=120,
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- top_p=0.95,
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- early_stopping=True,
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- num_return_sequences=p_count
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- )
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- res = []
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- for output in outputs:
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- line = tokenizer.decode(
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- output, skip_special_tokens=True, clean_up_tokenization_spaces=True)
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- res.append(line)
 
 
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- print(res)
 
 
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  return {
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  'result': {
 
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  text = f"paraphrase: {sentence_input} </s>"
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  # encoding = tokenizer.encode_plus(text, padding=True, return_tensors="pt")
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  encoding = tokenizer(text, return_tensors="pt")
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+ # input_ids, attention_masks = encoding["input_ids"], encoding["attention_mask"]
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+ # outputs = model.generate(
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+ # input_ids=input_ids, attention_mask=attention_masks,
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+ # max_length=512, # 256,
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+ # do_sample=True,
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+ # top_k=120,
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+ # top_p=0.95,
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+ # early_stopping=True,
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+ # num_return_sequences=p_count
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+ # )
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+ # res = []
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+ # for output in outputs:
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+ # line = tokenizer.decode(
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+ # output, skip_special_tokens=True, clean_up_tokenization_spaces=True)
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+ # res.append(line)
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+
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+ # print(res)
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+ print()
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+ print(generate_v4(encoding, count))
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+ print()
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  return {
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  'result': {