Chemsseddine commited on
Commit
a5996c5
·
1 Parent(s): 2cd241b

Update app.py

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Files changed (1) hide show
  1. app.py +3 -2
app.py CHANGED
@@ -2,12 +2,13 @@ from transformers import RobertaTokenizerFast, EncoderDecoderModel
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  import torch
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  #initialisation de tokenizer
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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- tokenizer = RobertaTokenizerFast.from_pretrained("Chemsseddine/bert2gpt2SUMM-finetuned-mlsum")#Chemsseddine/bert2gpt2SUMM-finetuned-mlsum
 
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  #aider les token special
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  tokenizer.bos_token = tokenizer.cls_token
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  tokenizer.eos_token = tokenizer.sep_token
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  #initialisation du modele
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- model = EncoderDecoderModel.from_pretrained("Chemsseddine/bert2gpt2SUMM-finetuned-mlsum").to(device)
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  #tf.random.set_seed(0)
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  # generate summary
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  def generateSumm(input_texte,max,min):
 
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  import torch
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  #initialisation de tokenizer
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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+ tokenizer = RobertaTokenizerFast.from_pretrained("Chemsseddine/bert2gpt2SUMM-finetuned-mlsum-finetuned-mlorange_sum")
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+ #Chemsseddine/bert2gpt2SUMM-finetuned-mlsum
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  #aider les token special
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  tokenizer.bos_token = tokenizer.cls_token
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  tokenizer.eos_token = tokenizer.sep_token
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  #initialisation du modele
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+ model = EncoderDecoderModel.from_pretrained("Chemsseddine/bert2gpt2SUMM-finetuned-mlsum-finetuned-mlorange_sum").to(device)
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  #tf.random.set_seed(0)
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  # generate summary
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  def generateSumm(input_texte,max,min):