Update app.py

app.py

@@ -1,11 +1,11 @@
 import torch
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-model_name = 'ramsrigouthamg/t5_sentence_paraphraser'
+model_name = 'ibm/qcpg-sentences'
 torch_device = 'cuda' if torch.cuda.is_available() else 'cpu'
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-tokenizer = AutoTokenizer.from_pretrained("ramsrigouthamg/t5_sentence_paraphraser")
-model = AutoModelForSeq2SeqLM.from_pretrained("ramsrigouthamg/t5_sentence_paraphraser")
+tokenizer = AutoTokenizer.from_pretrained("ribm/qcpg-sentences")
+model = AutoModelForSeq2SeqLM.from_pretrained("ibm/qcpg-sentences")
 def get_response(input_text,num_return_sequences):
   batch = tokenizer.prepare_seq2seq_batch([input_text],truncation=True,padding='longest',max_length=100, return_tensors="pt").to(torch_device)
   translated = model.generate(**batch,max_length=100,num_beams=10, num_return_sequences=num_return_sequences, temperature=0.9)