Update app.py

app.py

@@ -6,7 +6,7 @@ model = AutoModelForSeq2SeqLM.from_pretrained("engmatic-earth/mt5-zh-ja-en-trimm
 
 def output(raw_input_sentence):
     target_sentence = ["en2ja: " + str(raw_input_sentence)]
-    translated = model.generate(**tokenizer(target_sentence, return_tensors="pt", padding=True))
+    translated = model.generate(**tokenizer(target_sentence, return_tensors="pt"), max_length = 1000)
     tgt_text = [tokenizer.decode(t, skip_special_tokens=True) for t in translated]
     translated_phrase = tgt_text[0]
     translated_phrase = translated_phrase.replace(" ", "")