Update app.py

app.py

@@ -60,7 +60,7 @@ model = BlenderbotForConditionalGeneration.from_pretrained(mname)
 tokenizer = BlenderbotTokenizer.from_pretrained(mname)
 
 def take_last_tokens(inputs, note_history, history):
-        filterTokenCount = 128 # filter last 128 tokens
+    filterTokenCount = 128 # filter last 128 tokens
     if inputs['input_ids'].shape[1] > filterTokenCount:
         inputs['input_ids'] = torch.tensor([inputs['input_ids'][0][-filterTokenCount:].tolist()])
         inputs['attention_mask'] = torch.tensor([inputs['attention_mask'][0][-filterTokenCount:].tolist()])