Update app.py

app.py

@@ -21,10 +21,10 @@ model = AutoModelForSeq2SeqLM.from_pretrained("EzekielMW/LuoKslGloss")
 
 # Where should output files be stored locally
 # Where should output files be stored locally
-drive_folder = "./serverlogs"
+drive_folder = "./quadserverlogs"
 
 if not os.path.exists(drive_folder):
-  %mkdir $drive_folder
+    os.makedirs(drive_folder)
 
 # Large batch sizes generally give good results for translation
 effective_train_batch_size = 480
@@ -163,7 +163,7 @@ for code in LANGUAGE_CODES:
     i = tokenizer.convert_tokens_to_ids(code_mapping[code])
     tokenizer._added_tokens_encoder[code] = I
 
-#transformers.generation.utils.ForcedBOSTokenLogitsProcessor = transformers.ForcedBOSTokenLogitsProcessor
+transformers.generation.utils.ForcedBOSTokenLogitsProcessor = transformers.ForcedBOSTokenLogitsProcessor
 
 # Define a translation function
 def translate(text, source_language, target_language):