Update app.py

app.py

@@ -8,14 +8,13 @@ description = "A State-of-the-Art Large-scale Pretrained Response generation mod
 examples = [["How are you?"]]
 
 
-# tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-large")
-# model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-large")
+tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-large")
+model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-large")
 # tokenizer = LlamaTokenizer.from_pretrained("hf-internal-testing/llama-tokenizer")
 # model = LlamaForCausalLM.from_pretrained("hf-internal-testing/llama-tokenizer")
 
-model = "meta-llama/Llama-2-7b-chat-hf"
-
-tokenizer = AutoTokenizer.from_pretrained(model)
+#model = "meta-llama/Llama-2-7b-chat-hf"
+#tokenizer = AutoTokenizer.from_pretrained(model)
 
 
 def predict(input, history=[]):