hardcoded 1000 max length

translation.py

@@ -16,7 +16,7 @@ def translate(text_to_translate: str) -> str:
     text_size = len(text_to_translate)*2
     tokenizer = AutoTokenizer.from_pretrained("unicamp-dl/translation-pt-en-t5")
     model = AutoModelForSeq2SeqLM.from_pretrained("unicamp-dl/translation-pt-en-t5")
-    pten_pipeline = pipeline('text2text-generation', kwargs={"max_new_tokens": text_size},model=model, tokenizer=tokenizer)
+    pten_pipeline = pipeline('text2text-generation',  kwargs={"max_new_tokens": "1000"}, model=model, tokenizer=tokenizer)
     translated_text = pten_pipeline(text_to_translate)
 
     audit_elapsedtime(function="Finished translation", start=start)