Update app.py

app.py

@@ -1,10 +1,9 @@
 import torch
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-
 model_name = 'ibm/qcpg-sentences'
 torch_device = 'cuda' if torch.cuda.is_available() else 'cpu'
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-tokenizer = AutoTokenizer.from_pretrained("ribm/qcpg-sentences")
+tokenizer = AutoTokenizer.from_pretrained("ibm/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)