mirror of
https://github.com/RYDE-WORK/Langchain-Chatchat.git
synced 2026-02-01 03:43:24 +08:00
342 lines
14 KiB
Python
342 lines
14 KiB
Python
import streamlit as st
|
||
|
||
from webui_pages.dialogue.utils import process_files
|
||
from webui_pages.utils import *
|
||
from streamlit_chatbox import *
|
||
from streamlit_modal import Modal
|
||
from datetime import datetime
|
||
import os
|
||
import re
|
||
import time
|
||
from configs import (TOOL_CONFIG, LLM_MODEL_CONFIG)
|
||
from server.knowledge_base.utils import LOADER_DICT
|
||
import uuid
|
||
from typing import List, Dict
|
||
|
||
chat_box = ChatBox(
|
||
assistant_avatar=os.path.join(
|
||
"img",
|
||
"chatchat_icon_blue_square_v2.png"
|
||
)
|
||
)
|
||
|
||
|
||
def get_messages_history(history_len: int, content_in_expander: bool = False) -> List[Dict]:
|
||
'''
|
||
返回消息历史。
|
||
content_in_expander控制是否返回expander元素中的内容，一般导出的时候可以选上，传入LLM的history不需要
|
||
'''
|
||
|
||
def filter(msg):
|
||
content = [x for x in msg["elements"] if x._output_method in ["markdown", "text"]]
|
||
if not content_in_expander:
|
||
content = [x for x in content if not x._in_expander]
|
||
content = [x.content for x in content]
|
||
|
||
return {
|
||
"role": msg["role"],
|
||
"content": "\n\n".join(content),
|
||
}
|
||
|
||
return chat_box.filter_history(history_len=history_len, filter=filter)
|
||
|
||
|
||
@st.cache_data
|
||
def upload_temp_docs(files, _api: ApiRequest) -> str:
|
||
'''
|
||
将文件上传到临时目录，用于文件对话
|
||
返回临时向量库ID
|
||
'''
|
||
return _api.upload_temp_docs(files).get("data", {}).get("id")
|
||
|
||
|
||
def parse_command(text: str, modal: Modal) -> bool:
|
||
'''
|
||
检查用户是否输入了自定义命令，当前支持：
|
||
/new {session_name}。如果未提供名称，默认为“会话X”
|
||
/del {session_name}。如果未提供名称，在会话数量>1的情况下，删除当前会话。
|
||
/clear {session_name}。如果未提供名称，默认清除当前会话
|
||
/stop {session_name}。如果未提供名称，默认停止当前会话
|
||
/help。查看命令帮助
|
||
返回值：输入的是命令返回True，否则返回False
|
||
'''
|
||
if m := re.match(r"/([^\s]+)\s*(.*)", text):
|
||
cmd, name = m.groups()
|
||
name = name.strip()
|
||
conv_names = chat_box.get_chat_names()
|
||
if cmd == "help":
|
||
modal.open()
|
||
elif cmd == "new":
|
||
if not name:
|
||
i = 1
|
||
while True:
|
||
name = f"会话{i}"
|
||
if name not in conv_names:
|
||
break
|
||
i += 1
|
||
if name in st.session_state["conversation_ids"]:
|
||
st.error(f"该会话名称 “{name}” 已存在")
|
||
time.sleep(1)
|
||
else:
|
||
st.session_state["conversation_ids"][name] = uuid.uuid4().hex
|
||
st.session_state["cur_conv_name"] = name
|
||
elif cmd == "del":
|
||
name = name or st.session_state.get("cur_conv_name")
|
||
if len(conv_names) == 1:
|
||
st.error("这是最后一个会话，无法删除")
|
||
time.sleep(1)
|
||
elif not name or name not in st.session_state["conversation_ids"]:
|
||
st.error(f"无效的会话名称：“{name}”")
|
||
time.sleep(1)
|
||
else:
|
||
st.session_state["conversation_ids"].pop(name, None)
|
||
chat_box.del_chat_name(name)
|
||
st.session_state["cur_conv_name"] = ""
|
||
elif cmd == "clear":
|
||
chat_box.reset_history(name=name or None)
|
||
return True
|
||
return False
|
||
|
||
|
||
def dialogue_page(api: ApiRequest, is_lite: bool = False):
|
||
st.session_state.setdefault("conversation_ids", {})
|
||
st.session_state["conversation_ids"].setdefault(chat_box.cur_chat_name, uuid.uuid4().hex)
|
||
st.session_state.setdefault("file_chat_id", None)
|
||
default_model = api.get_default_llm_model()[0]
|
||
|
||
if not chat_box.chat_inited:
|
||
st.toast(
|
||
f"欢迎使用 [`Langchain-Chatchat`](https://github.com/chatchat-space/Langchain-Chatchat) ! \n\n"
|
||
f"当前运行的模型`{default_model}`, 您可以开始提问了."
|
||
)
|
||
chat_box.init_session()
|
||
|
||
# 弹出自定义命令帮助信息
|
||
modal = Modal("自定义命令", key="cmd_help", max_width="500")
|
||
if modal.is_open():
|
||
with modal.container():
|
||
cmds = [x for x in parse_command.__doc__.split("\n") if x.strip().startswith("/")]
|
||
st.write("\n\n".join(cmds))
|
||
|
||
with st.sidebar:
|
||
conv_names = list(st.session_state["conversation_ids"].keys())
|
||
index = 0
|
||
|
||
tools = list(TOOL_CONFIG.keys())
|
||
selected_tool_configs = {}
|
||
|
||
with st.expander("工具栏"):
|
||
for tool in tools:
|
||
is_selected = st.checkbox(tool, value=TOOL_CONFIG[tool]["use"], key=tool)
|
||
if is_selected:
|
||
selected_tool_configs[tool] = TOOL_CONFIG[tool]
|
||
|
||
if st.session_state.get("cur_conv_name") in conv_names:
|
||
index = conv_names.index(st.session_state.get("cur_conv_name"))
|
||
conversation_name = st.selectbox("当前会话", conv_names, index=index)
|
||
chat_box.use_chat_name(conversation_name)
|
||
conversation_id = st.session_state["conversation_ids"][conversation_name]
|
||
|
||
# def on_mode_change():
|
||
# mode = st.session_state.dialogue_mode
|
||
# text = f"已切换到 {mode} 模式。"
|
||
# st.toast(text)
|
||
|
||
# dialogue_modes = ["智能对话",
|
||
# "文件对话",
|
||
# ]
|
||
# dialogue_mode = st.selectbox("请选择对话模式：",
|
||
# dialogue_modes,
|
||
# index=0,
|
||
# on_change=on_mode_change,
|
||
# key="dialogue_mode",
|
||
# )
|
||
|
||
def on_llm_change():
|
||
if llm_model:
|
||
config = api.get_model_config(llm_model)
|
||
if not config.get("online_api"): # 只有本地model_worker可以切换模型
|
||
st.session_state["prev_llm_model"] = llm_model
|
||
st.session_state["cur_llm_model"] = st.session_state.llm_model
|
||
|
||
def llm_model_format_func(x):
|
||
if x in running_models:
|
||
return f"{x} (Running)"
|
||
return x
|
||
|
||
running_models = list(api.list_running_models())
|
||
available_models = []
|
||
config_models = api.list_config_models()
|
||
if not is_lite:
|
||
for k, v in config_models.get("local", {}).items(): # 列出配置了有效本地路径的模型
|
||
if (v.get("model_path_exists")
|
||
and k not in running_models):
|
||
available_models.append(k)
|
||
for k, v in config_models.get("online", {}).items():
|
||
if not v.get("provider") and k not in running_models and k in LLM_MODELS:
|
||
available_models.append(k)
|
||
llm_models = running_models + available_models + ["openai-api"]
|
||
cur_llm_model = st.session_state.get("cur_llm_model", default_model)
|
||
if cur_llm_model in llm_models:
|
||
index = llm_models.index(cur_llm_model)
|
||
else:
|
||
index = 0
|
||
llm_model = st.selectbox("选择LLM模型",
|
||
llm_models,
|
||
index,
|
||
format_func=llm_model_format_func,
|
||
on_change=on_llm_change,
|
||
key="llm_model",
|
||
)
|
||
|
||
# 传入后端的内容
|
||
model_config = {key: {} for key in LLM_MODEL_CONFIG.keys()}
|
||
|
||
for key in LLM_MODEL_CONFIG:
|
||
if key == 'llm_model':
|
||
continue
|
||
if LLM_MODEL_CONFIG[key]:
|
||
first_key = next(iter(LLM_MODEL_CONFIG[key]))
|
||
model_config[key][first_key] = LLM_MODEL_CONFIG[key][first_key]
|
||
|
||
if llm_model is not None:
|
||
model_config['llm_model'][llm_model] = LLM_MODEL_CONFIG['llm_model'][llm_model]
|
||
|
||
files = st.file_uploader("上传附件",
|
||
type=[i for ls in LOADER_DICT.values() for i in ls],
|
||
accept_multiple_files=True)
|
||
files_upload = process_files(files=files) if files else None
|
||
print(len(files_upload)) if files_upload else None
|
||
|
||
# if dialogue_mode == "文件对话":
|
||
# with st.expander("文件对话配置", True):
|
||
# files = st.file_uploader("上传知识文件：",
|
||
# [i for ls in LOADER_DICT.values() for i in ls],
|
||
# accept_multiple_files=True,
|
||
# )
|
||
# kb_top_k = st.number_input("匹配知识条数：", 1, 20, VECTOR_SEARCH_TOP_K)
|
||
# score_threshold = st.slider("知识匹配分数阈值：", 0.0, 2.0, float(SCORE_THRESHOLD), 0.01)
|
||
# if st.button("开始上传", disabled=len(files) == 0):
|
||
# st.session_state["file_chat_id"] = upload_temp_docs(files, api)
|
||
# Display chat messages from history on app rerun
|
||
|
||
chat_box.output_messages()
|
||
chat_input_placeholder = "请输入对话内容，换行请使用Shift+Enter。输入/help查看自定义命令 "
|
||
|
||
def on_feedback(
|
||
feedback,
|
||
message_id: str = "",
|
||
history_index: int = -1,
|
||
):
|
||
|
||
reason = feedback["text"]
|
||
score_int = chat_box.set_feedback(feedback=feedback, history_index=history_index)
|
||
api.chat_feedback(message_id=message_id,
|
||
score=score_int,
|
||
reason=reason)
|
||
st.session_state["need_rerun"] = True
|
||
|
||
feedback_kwargs = {
|
||
"feedback_type": "thumbs",
|
||
"optional_text_label": "欢迎反馈您打分的理由",
|
||
}
|
||
|
||
if prompt := st.chat_input(chat_input_placeholder, key="prompt"):
|
||
if parse_command(text=prompt, modal=modal): # 用户输入自定义命令
|
||
st.rerun()
|
||
else:
|
||
history = get_messages_history(
|
||
model_config["llm_model"][next(iter(model_config["llm_model"]))]["history_len"])
|
||
chat_box.user_say(prompt)
|
||
|
||
chat_box.ai_say("正在思考...")
|
||
text = ""
|
||
message_id = ""
|
||
element_index = 0
|
||
for d in api.chat_chat(query=prompt,
|
||
metadata=files_upload,
|
||
history=history,
|
||
model_config=model_config,
|
||
conversation_id=conversation_id,
|
||
tool_config=selected_tool_configs,
|
||
):
|
||
try:
|
||
d = json.loads(d)
|
||
except:
|
||
pass
|
||
message_id = d.get("message_id", "")
|
||
metadata = {
|
||
"message_id": message_id,
|
||
}
|
||
if error_msg := check_error_msg(d):
|
||
st.error(error_msg)
|
||
if chunk := d.get("agent_action"):
|
||
chat_box.insert_msg(Markdown("...", in_expander=True, title="Tools", state="complete"))
|
||
element_index = 1
|
||
formatted_data = {
|
||
"action": chunk["tool_name"],
|
||
"action_input": chunk["tool_input"]
|
||
}
|
||
formatted_json = json.dumps(formatted_data, indent=2, ensure_ascii=False)
|
||
text += f"\n```\nInput Params:\n" + formatted_json + f"\n```\n"
|
||
chat_box.update_msg(text, element_index=element_index, metadata=metadata)
|
||
if chunk := d.get("text"):
|
||
text += chunk
|
||
chat_box.update_msg(text, element_index=element_index, metadata=metadata)
|
||
if chunk := d.get("agent_finish"):
|
||
element_index = 0
|
||
text = chunk
|
||
chat_box.update_msg(text, streaming=False, element_index=element_index, metadata=metadata)
|
||
chat_box.show_feedback(**feedback_kwargs,
|
||
key=message_id,
|
||
on_submit=on_feedback,
|
||
kwargs={"message_id": message_id, "history_index": len(chat_box.history) - 1})
|
||
|
||
# elif dialogue_mode == "文件对话":
|
||
# if st.session_state["file_chat_id"] is None:
|
||
# st.error("请先上传文件再进行对话")
|
||
# st.stop()
|
||
# chat_box.ai_say([
|
||
# f"正在查询文件 `{st.session_state['file_chat_id']}` ...",
|
||
# Markdown("...", in_expander=True, title="文件匹配结果", state="complete"),
|
||
# ])
|
||
# text = ""
|
||
# for d in api.file_chat(prompt,
|
||
# knowledge_id=st.session_state["file_chat_id"],
|
||
# top_k=kb_top_k,
|
||
# score_threshold=score_threshold,
|
||
# history=history,
|
||
# model=llm_model,
|
||
# prompt_name=prompt_template_name,
|
||
# temperature=temperature):
|
||
# if error_msg := check_error_msg(d):
|
||
# st.error(error_msg)
|
||
# elif chunk := d.get("answer"):
|
||
# text += chunk
|
||
# chat_box.update_msg(text, element_index=0)
|
||
# chat_box.update_msg(text, element_index=0, streaming=False)
|
||
# chat_box.update_msg("\n\n".join(d.get("docs", [])), element_index=1, streaming=False)
|
||
if st.session_state.get("need_rerun"):
|
||
st.session_state["need_rerun"] = False
|
||
st.rerun()
|
||
|
||
now = datetime.now()
|
||
with st.sidebar:
|
||
|
||
cols = st.columns(2)
|
||
export_btn = cols[0]
|
||
if cols[1].button(
|
||
"清空对话",
|
||
use_container_width=True,
|
||
):
|
||
chat_box.reset_history()
|
||
st.rerun()
|
||
|
||
export_btn.download_button(
|
||
"导出记录",
|
||
"".join(chat_box.export2md()),
|
||
file_name=f"{now:%Y-%m-%d %H.%M}_对话记录.md",
|
||
mime="text/markdown",
|
||
use_container_width=True,
|
||
)
|