Update app.py

app.py

@@ -10,12 +10,6 @@ model = T5ForConditionalGeneration.from_pretrained("./model_files")
 def greet(name):
     inp =  "Summarize:" + name
     input_ids = tokenizer(inp, return_tensors="pt").input_ids
-    outputs = model.generate(input_ids,
-                        max_length=150, 
-              num_beams=2,
-              repetition_penalty=2.5, 
-              length_penalty=1.0, 
-              early_stopping=True)
     #return tokenizer.decode(outputs[0],skip_special_tokens=True, clean_up_tokenization_spaces=True)
     return inp