1

config_private.py

@@ -29,13 +29,12 @@ DEFAULT_WORKER_NUM = 256
 
 # [step 3]>> 模型选择是 (注意: LLM_MODEL是默认选中的模型, 它*必须*被包含在AVAIL_LLM_MODELS列表中 )
 LLM_MODEL = "gpt-4-32k" # 可选 ↓↓↓
-AVAIL_LLM_MODELS = ["qwen-max", "o1-mini", "o1-mini-2024-09-12", "o1", "o1-2024-12-17", "o1-preview", "o1-preview-2024-09-12",
+AVAIL_LLM_MODELS = ["deepseek-chat", "deepseek-coder", "deepseek-reasoner",
                     "gpt-4-1106-preview", "gpt-4-turbo-preview", "gpt-4-vision-preview",
                     "gpt-4o", "gpt-4o-mini", "gpt-4-turbo", "gpt-4-turbo-2024-04-09",
                     "gpt-3.5-turbo-1106", "gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5",
                     "gpt-4", "gpt-4-32k", "azure-gpt-4", "glm-4", "glm-4v", "glm-3-turbo",
                     "gemini-1.5-pro", "chatglm3", "chatglm4",
-                    "deepseek-chat", "deepseek-coder", "deepseek-reasoner"
                     ]
 
 EMBEDDING_MODEL = "text-embedding-3-small"

main.py

@@ -1,10 +1,7 @@
 import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
 
 help_menu_description = \
-"""Github源代码开源和更新[地址🚀](https://github.com/binary-husky/gpt_academic),
-感谢热情的[开发者们❤️](https://github.com/binary-husky/gpt_academic/graphs/contributors).
-</br></br>常见问题请查阅[项目Wiki](https://github.com/binary-husky/gpt_academic/wiki),
-如遇到Bug请前往[Bug反馈](https://github.com/binary-husky/gpt_academic/issues).
+"""
 </br></br>普通对话使用说明: 1. 输入问题; 2. 点击提交
 </br></br>基础功能区使用说明: 1. 输入文本; 2. 点击任意基础功能区按钮
 </br></br>函数插件区使用说明: 1. 输入路径/问题, 或者上传文件; 2. 点击任意函数插件区按钮
@@ -184,7 +181,7 @@ def main():
         from themes.gui_floating_menu import define_gui_floating_menu
         area_input_secondary, txt2, area_customize, _, resetBtn2, clearBtn2, stopBtn2 = \
             define_gui_floating_menu(customize_btns, functional, predefined_btns, cookies, web_cookie_cache)
-        
+
         # 浮动时间线定义
         gr.Spark()
 
@@ -217,7 +214,7 @@ def main():
         input_combo_order = ["cookies", "max_length_sl", "md_dropdown", "txt", "txt2", "top_p", "temperature", "chatbot", "history", "system_prompt", "plugin_advanced_arg"]
         output_combo = [cookies, chatbot, history, status]
         predict_args = dict(fn=ArgsGeneralWrapper(predict), inputs=[*input_combo, gr.State(True)], outputs=output_combo)
-        
+
         # 提交按钮、重置按钮
         multiplex_submit_btn.click(
             None, [multiplex_sel], None, _js="""(multiplex_sel)=>multiplex_function_begin(multiplex_sel)""")