Update app.py

app.py

@@ -74,18 +74,6 @@ def summarize():
         gradient_accumulation_steps=4  # Effective larger batch size
     )
 
-"""    trainer = Seq2SeqTrainer(
-        model=model,
-        args=training_args,
-        train_dataset=tokenized_billsum["train"],
-        eval_dataset=tokenized_billsum["test"],
-        processing_class=tokenizer,
-        data_collator=data_collator,
-        compute_metrics=compute_metrics,
-    )
-
-    trainer.train()"""
-
     return data_collator
 #    return type(tokenized_billsum)