Update app.py

app.py

@@ -40,7 +40,7 @@ if UseMemory:
       local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
       )
 
-async def get_df(name: str):
+def get_df(name: str):
     dataset = load_dataset(str, split="train")
     return dataset
     
@@ -68,7 +68,7 @@ mname = "facebook/blenderbot-400M-distill"
 model = BlenderbotForConditionalGeneration.from_pretrained(mname)
 tokenizer = BlenderbotTokenizer.from_pretrained(mname)
 
-async def take_last_tokens(inputs, note_history, history):
+def take_last_tokens(inputs, note_history, history):
     """Filter the last 128 tokens"""
     if inputs['input_ids'].shape[1] > 128:
         inputs['input_ids'] = torch.tensor([inputs['input_ids'][0][-128:].tolist()])
@@ -87,7 +87,7 @@ title = "💬ChatBack🧠💾"
 description = """Chatbot With persistent memory dataset allowing multiagent system AI to access a shared dataset as memory pool with stored interactions. 
  Current Best SOTA Chatbot:  https://huggingface.co/facebook/blenderbot-400M-distill?text=Hey+my+name+is+ChatBack%21+Are+you+ready+to+rock%3F  """
 
-async def chat(message, history):
+def chat(message, history):
     history = history or []
     if history: 
         history_useful = ['</s> <s>'.join([str(a[0])+'</s> <s>'+str(a[1]) for a in history])]