Update app.py

app.py

@@ -5,23 +5,7 @@ sentence = st.text_area("enter some text")
 
 if sentence:
 
-    model = T5ForConditionalGeneration.from_pretrained("t5-small")
-    tokenizer = T5Tokenizer.from_pretrained('t5-small')
-
-    tokenized_sentence = tokenizer('gec: ' + sentence, max_length=128, truncation=True, padding='max_length', return_tensors='pt')
-    corrected_sentence = tokenizer.decode(
-        model.generate(
-            input_ids = tokenized_sentence.input_ids,
-            attention_mask = tokenized_sentence.attention_mask, 
-            max_length=128,
-            num_beams=5,
-            early_stopping=True,
-        )[0],
-        skip_special_tokens=True, 
-        clean_up_tokenization_spaces=True
-    )
-    #print(corrected_sentence) # -> I like swimming.
-
+    
     st.json(corrected_sentence)