update requirements.txt

requirements.txt

@@ -19,3 +19,12 @@ faiss-cpu
 # pymilvus==2.1.3 # requires milvus==2.1.3
 # psycopg2
 # pgvector
+
+numpy~=1.24.4
+pandas~=2.0.3
+streamlit>=1.25.0
+streamlit-option-menu>=0.3.6
+streamlit-antd-components>=0.1.11
+streamlit-chatbox>=1.1.6
+streamlit-aggrid>=0.3.4.post3
+httpx~=0.24.1

requirements_api.txt

@@ -0,0 +1,21 @@
+langchain==0.0.257
+openai
+sentence_transformers
+fschat==0.2.20
+transformers
+torch~=2.0.0
+fastapi~=0.99.1
+fastapi-offline
+nltk~=3.8.1
+uvicorn~=0.23.1
+starlette~=0.27.0
+pydantic~=1.10.11
+unstructured[all-docs]
+python-magic-bin; sys_platform == 'win32'
+SQLAlchemy==2.0.19
+faiss-cpu
+
+# uncomment libs if you want to use corresponding vector store
+# pymilvus==2.1.3 # requires milvus==2.1.3
+# psycopg2
+# pgvector

webui_pages/dialogue/dialogue.py

@@ -2,7 +2,6 @@ import streamlit as st
 from webui_pages.utils import *
 from streamlit_chatbox import *
 from datetime import datetime
-import streamlit_antd_components as sac
 from server.chat.search_engine_chat import SEARCH_ENGINES
 from typing import List, Dict
 
@@ -133,7 +132,7 @@ def dialogue_page(api: ApiRequest):
             elif dialogue_mode == "知识库问答":
                 history = get_messages_history(history_len)
                 chat_box.ai_say([
-                    f"正在查询知识库： `{selected_kb}` ...",
+                    f"正在查询知识库 `{selected_kb}` ...",
                     Markdown("...", in_expander=True, title="知识库匹配结果"),
                 ])
                 text = ""
@@ -144,7 +143,7 @@ def dialogue_page(api: ApiRequest):
                 chat_box.update_msg(text, 0, streaming=False)
             elif dialogue_mode == "搜索引擎问答":
                 chat_box.ai_say([
-                    f"正在执行{search_engine}搜索...",
+                    f"正在执行 `{search_engine}` 搜索...",
                     Markdown("...", in_expander=True, title="网络搜索结果"),
                 ])
                 text = ""