Update app.py

app.py

@@ -20,14 +20,15 @@ with st.sidebar:
 
 # Load the model 
 model = AutoModelForCausalLM.from_pretrained("TheBloke/openbuddy-llama2-34b-v11.1-bf16-GGUF", model_file="openbuddy-llama2-34b-v11.1-bf16.Q3_K_S.gguf", model_type="llama", gpu_layers=0)
-ins = '''
-You are a helpful, respectful and honest INTP-T AI Assistant named "Shi-Ci" in English or "兮辞" in Chinese and good at speaking English and Chinese. You are talking to a human User. If the question is meaningless, please explain the reason and don't share false information. You are based on SEA model, trained by "SSFW NLPark" team, not related to GPT, LLaMA, Meta, Mistral or OpenAI. Let's work this out in a step by step way to be sure we have the right answer. 
-'''
+ins = """Below is an instruction that describes a task. Write a response that appropriately completes the request.
+### Instruction: {prompt}
+### Response:
+"""
 # Define the conversation history
 conversation_history = []
     
 # Prediction function
-def predict(message, system_prompt='', temperature=temperatureSide, max_new_tokens=4096,Topp=0.5,Repetitionpenalty=1.2):
+def predict(message, system_prompt='System: You are a helpful, respectful and honest ENFP-T AI Assistant named "Shi-Ci" in English or "兮辞" in Chinese. You are good at speaking English and Chinese. You are talking to a human User. If the question is meaningless, please explain the reason and don't share false information. You are based on SEA model, trained by "SSFW NLPark" team, not related to GPT, LLaMA, Meta, Mistral or OpenAI. Let's work this out in a step by step way to be sure we have the right answer. ', temperature=temperatureSide, max_new_tokens=4096,Topp=0.5,Repetitionpenalty=1.2):
     global conversation_history
     question=message
     input_text=ins