WEB UI中对话功能已完成。目前很多参数还不支持，待API接口完善后再加入。

webui.py

@@ -1,3 +1,9 @@
+# 运行方式：
+# 1. 安装必要的包：pip install streamlit-option-menu streamlit-chatbox>=1.1.3
+# 2. 运行本机fastchat服务：python server\llm_api.py 或者 运行对应的sh文件
+# 3. 运行API服务器：python server/api.py。如果使用api = ApiRequest(no_remote_api=True)，该步可以跳过。
+# 4. 运行WEB UI：streamlit run webui.py --server.port 7860
+
 import streamlit as st
 from webui_pages.utils import *
 from streamlit_option_menu import option_menu

webui_pages/dialogue/dialogue.py

@@ -2,37 +2,85 @@ import streamlit as st
 from webui_pages.utils import *
 from streamlit_chatbox import *
 
-chat_box = ChatBox()
-
 
 def dialogue_page(api: ApiRequest):
+    chat_box = ChatBox(
+        greetings=[
+            f"欢迎使用 [`Langchain-Chatglm`](https://github.com/chatchat-space/langchain-chatglm) ! 当前使用模型`{LLM_MODEL}`, 您可以开始提问了.",
+        ]
+    )
+
     with st.sidebar:
+        def on_mode_change():
+            mode = st.session_state.dialogue_mode
+            text = f"已切换到 {mode} 模式。"
+            if mode == "知识库问答":
+                cur_kb = st.session_state.get("selected_kb")
+                if cur_kb:
+                    text = f"{text} 当前知识库： `{cur_kb}`。"
+            chat_box.ai_say(text, not_render=True)
+
         dialogue_mode = st.radio("请选择对话模式",
                                  ["LLM 对话",
                                   "知识库问答",
-                                  "Bing 搜索问答"])
+                                  "Bing 搜索问答",
-        history_len = st.slider("历史对话轮数：", 1, 10, 1)
+                                  "Duck 搜索问答",
+                                ],
+                                on_change=on_mode_change,
+                                key="dialogue_mode",
+                                )
+        history_len = st.slider("历史对话轮数：", 1, 10, 1, disabled=True)
+        # todo: support history len
+        if st.button("清除历史对话"):
+            chat_box.reset_history()
+
+        def on_kb_change():
+            chat_box.ai_say(f"已加载知识库： {st.session_state.selected_kb}", not_render=True)
+
         if dialogue_mode == "知识库问答":
-            selected_kb = st.selectbox("请选择知识库：", get_kb_list())
+            kb_list = api.list_knowledge_bases()
-            with st.expander(f"{selected_kb} 中已存储文件"):
+            selected_kb = st.selectbox(
-                st.write(get_kb_files(selected_kb))
+                "请选择知识库：",
+                kb_list,
+                on_change=on_kb_change,
+                key="selected_kb",
+            )
+            top_k = st.slider("匹配知识条数：", 1, 20, 3, disabled=True)
+            score_threshold = st.slider("知识匹配分数阈值：", 0, 1000, 0, disabled=True)
+            chunk_content = st.checkbox("关联上下文", False, disabled=True)
+            chunk_size = st.slider("关联长度：", 0, 500, 250, disabled=True)
 
     # Display chat messages from history on app rerun
     chat_box.output_messages()
 
     if prompt := st.chat_input("请输入对话内容，换行请使用Ctrl+Enter"):
         chat_box.user_say(prompt)
-        chat_box.ai_say("正在思考...")
+        if dialogue_mode == "LLM 对话":
-        # with api.chat_fastchat([{"role": "user", "content": "prompt"}], stream=streaming) as r:
+            chat_box.ai_say("正在思考...")
-        # todo: support history len
+            text = ""
-        text = ""
+            r = api.chat_chat(prompt, no_remote_api=True)
-        r = api.chat_chat(prompt, no_remote_api=True)
+            for t in r:
-        for t in r:
+                text += t
-            text += t
+                chat_box.update_msg(text)
-            chat_box.update_msg(text)
+            chat_box.update_msg(text, streaming=False) # 更新最终的字符串，去除光标
-        chat_box.update_msg(text, streaming=False)
+        elif dialogue_mode == "知识库问答":
-        # with  api.chat_chat(prompt) as r:
+            chat_box.ai_say(f"正在查询知识库： `{selected_kb}` ...")
-        #     for t in r.iter_text(None):
+            text = ""
-        #         text += t
+            for t in api.knowledge_base_chat(prompt, selected_kb):
-        #         chat_box.update_msg(text)
+                text += t
-        #     chat_box.update_msg(text, streaming=False)
+                chat_box.update_msg(text)
+            chat_box.update_msg(text, streaming=False)
+        elif dialogue_mode == "Bing 搜索问答":
+            chat_box.ai_say("正在执行Bing搜索...")
+            text = ""
+            for t in api.bing_search_chat(prompt):
+                text += t
+                chat_box.update_msg(text)
+            chat_box.update_msg(text, streaming=False)
+        elif dialogue_mode == "Duck 搜索问答":
+            chat_box.ai_say("正在执行Duckduck搜索...")
+            text = ""
+            for t in api.duckduckgo_search_chat(prompt):
+                text += t
+                chat_box.update_msg(text)
+            chat_box.update_msg(text, streaming=False)