Update app.py

app.py

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