Update app.py

app.py

@@ -13,9 +13,9 @@ loaded_tokenizer = AutoTokenizer.from_pretrained("runaksh/financial_summary_T5_b
 # Function for generating summary
 def generate_summary(text,min_length=55,max_length=80):
   text = "summarize: "+text
-  input = tokenizer(text,max_length=512,truncation=True,return_tensors='tf').input_ids
-  op=model.generate(input,min_length=min_length,max_length=max_length)
-  decoded_op = tokenizer.batch_decode(op,skip_special_tokens=True)
+  input = loaded_tokenizer(text,max_length=512,truncation=True,return_tensors='tf').input_ids
+  op=loaded_model.generate(input,min_length=min_length,max_length=max_length)
+  decoded_op = loaded_tokenizer.batch_decode(op,skip_special_tokens=True)
   return decoded_op
 
 title = "Financial News Summary"