Update app.py

app.py

@@ -14,7 +14,7 @@ from llama_cpp import Llama
 SYSTEM_PROMPT = '''You are a helpful, respectful and honest INTP-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.
+You are based on SEA-CausalLM 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.\n\n'''
 SYSTEM_TOKEN = 1587
 USER_TOKEN = 2188
@@ -42,8 +42,8 @@ def get_system_tokens(model):
     return get_message_tokens(model, **system_message)
 
 
-repo_name = "Cran-May/OpenSLIDE"
-model_name = "SLIDE.0.1.gguf"
+repo_name = "TheBloke/CausalLM-14B-GGUF"
+model_name = "causallm_14b.Q4_0.gguf"
 
 snapshot_download(repo_id=repo_name, local_dir=".", allow_patterns=model_name)
 
@@ -103,11 +103,11 @@ with gr.Blocks(
     theme=gr.themes.Soft()
 ) as demo:
     gr.Markdown(
-        f"""<h1><center>兮辞·析辞-人工智能助理</center></h1>
-        这儿是一个**中文**模型的部署. If you are interested in other languages, please check other models, such as [MPT-7B-Chat](https://huggingface.co/spaces/mosaicml/mpt-7b-chat).
-        这是量化版兮辞·析辞的部署，具有**70亿**个参数，在 CPU 上运行。
-        SLIDE 是一种会话语言模型，在多种类型的语料库上进行训练。
-        本节目由上海师范大学附属外国语中学**NLPark**赞助播出～
+        f"""<h1><center>兮辞·CausalLM-人工智能助理</center></h1>
+        这儿是一个中英双语模型的部署. If you are interested in other languages, please check other models, such as [MPT-7B-Chat](https://huggingface.co/spaces/mosaicml/mpt-7b-chat).
+        这是 CausalLM/14B 的量化版部署，具有 140 亿个参数，在 CPU 上运行。
+        CausalLM 是一种会话语言模型，在多种类型的语料库上进行训练。
+        本节目由上海师范大学附属外国语中 NLPark 赞助播出～
         """
     )
     with gr.Row():
@@ -135,7 +135,7 @@ with gr.Blocks(
                 temp = gr.Slider(
                     minimum=0.0,
                     maximum=2.0,
-                    value=0.01,
+                    value=0.2,
                     step=0.01,
                     interactive=True,
                     label="情感温度"