Update app.py

app.py

@@ -80,7 +80,7 @@ mdl = GPT2LMHeadModel.from_pretrained('gpt2')
 gpt2_tkn=GPT2Tokenizer.from_pretrained('gpt2')
 def generate(starting_text):
     tkn_ids = gpt2_tkn.encode(starting_text, return_tensors = 'pt')
-    gpt2_tensors = mdl.generate(tkn_ids,max_length=100,no_repeat_ngram_size=True,num_beams=3,do_sample=True,temperatue=0.1)
+    gpt2_tensors = mdl.generate(tkn_ids,max_length=100,no_repeat_ngram_size=True,num_beams=3,do_sample=True)
     response=""
     #response = gpt2_tensors
     for i, x in enumerate(gpt2_tensors):