Update app.py

app.py

@@ -3,9 +3,9 @@ from gradio_client import Client
 from time import sleep
 from ctransformers import AutoModelForCausalLM
 # Constants
-TITLE = "兮辞·析辞-常明"
+TITLE = "玉刚-常明"
 DESCRIPTION = """
-兮辞·析辞-常明 [SLIDE-SEA-7B]的部署，由SSFW NLPark项目支持
+玉刚-常明 的部署，由SSFW NLPark项目支持
 """
 
 # Initialize client
@@ -19,13 +19,13 @@ with st.sidebar:
     # RepetitionpenaltySide = st.slider("Repetition penalty", min_value=0.0, max_value=2.0, value=1.2, step=0.05)
 
 # Load the model 
-model = AutoModelForCausalLM.from_pretrained("Cran-May/OpenSLIDE", model_file="SLIDE.0.1.gguf", model_type="mistral", gpu_layers=0)
+model = AutoModelForCausalLM.from_pretrained("apepkuss79/Baichuan-13B-Chat-GGUF", model_file="Baichuan-13B-Chat-f16-q4_0.gguf", gpu_layers=0)
 ins = '''[INST] <<SYS>>
-You are a helpful, respectful and honest INTP-T AI Assistant named "Shi-Ci" in English or "兮辞" in Chinese. You are talking to a human User.
+You are a helpful, respectful and honest INTP-T AI Assistant named "Yu Gang" in English or "玉刚" 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.
-You are trained by "SSFW NLPark" team, you are based on SEA transformers model, not related to GPT or OpenAI.
+You are trained by "SSFW NLPark" team, you are based on Baichuan transformers model, not related to GPT or OpenAI.
 Let's work this out in a step by step way to be sure we have the right answer.
 <</SYS>>
 {} [/INST]
@@ -59,7 +59,7 @@ for message in st.session_state.messages:
         st.markdown(message["content"])
         
 # React to user input
-if prompt := st.chat_input("来问问兮辞吧..."):
+if prompt := st.chat_input("来问问玉刚吧..."):
     # Display user message in chat message container
     st.chat_message("human",avatar = "😀").markdown(prompt)
     # Add user message to chat history