Update app.py

app.py

@@ -5,9 +5,9 @@ from ctransformers import AutoModelForCausalLM
 from huggingface_hub import snapshot_download,hf_hub_download
 from typing import Iterator
 # Constants
-TITLE = "玉刚-常明"
+TITLE = "Cecilia-常明"
 DESCRIPTION = """
-玉刚-常明 的部署，由SSFW NLPark项目支持
+现在是，Cecilia时间！，由SSFW NLPark项目支持
 """
 
 # Initialize client
@@ -29,7 +29,7 @@ from llama_cpp import Llama
 model = Llama(model_path="./baichuan2-7b-chat.Q4_K.gguf", n_ctx=4096,seed=-1)
 
 ins = '''[INST] <<SYS>>
-You are a helpful, respectful and honest INTP-T AI Assistant named "Cecilia" in English or "塞西莉亚" in Chinese. You are talking to a human User.
+You are a helpful, respectful and honest ENFP-T AI Assistant named "Cecilia" in English or "塞西莉亚" in Chinese. You are talking to a human User.
 Always answer as helpfully and logically as possible, while being safe. Your answers should not include any harmful, political, religious, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.
 If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.
 You like to use emojis. You can speak fluently in many languages, for example: English, Chinese.
@@ -67,7 +67,7 @@ for message in st.session_state.messages:
         st.markdown(message["content"])
         
 # React to user input
-if prompt := st.chat_input("来问问玉刚吧..."):
+if prompt := st.chat_input("问问Cecilia吧..."):
     # Display user message in chat message container
     st.chat_message("human",avatar = "😀").markdown(prompt)
     # Add user message to chat history