qwenlm--qwen-agent
wehub-resource-sync
117 行
3.4 KiB
Python
117 行
3.4 KiB
Python
# Copyright 2023 The Qwen team, Alibaba Group. All rights reserved.
|
||
#
|
||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||
# you may not use this file except in compliance with the License.
|
||
# You may obtain a copy of the License at
|
||
#
|
||
# http://www.apache.org/licenses/LICENSE-2.0
|
||
#
|
||
# Unless required by applicable law or agreed to in writing, software
|
||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||
# See the License for the specific language governing permissions and
|
||
# limitations under the License.
|
||
|
||
"""A multi-agent cooperation example implemented by router and assistant"""
|
||
|
||
import os
|
||
from typing import Optional
|
||
|
||
from qwen_agent.agents import Assistant, ReActChat, Router
|
||
from qwen_agent.gui import WebUI
|
||
|
||
ROOT_RESOURCE = os.path.join(os.path.dirname(__file__), 'resource')
|
||
|
||
|
||
def init_agent_service():
|
||
# settings
|
||
llm_cfg = {'model': 'qwen-max'}
|
||
llm_cfg_vl = {'model': 'qwen-vl-max'}
|
||
tools = ['image_gen', 'code_interpreter']
|
||
|
||
# Define a vl agent
|
||
bot_vl = Assistant(llm=llm_cfg_vl, name='多模态助手', description='可以理解图像内容。')
|
||
|
||
# Define a tool agent
|
||
bot_tool = ReActChat(
|
||
llm=llm_cfg,
|
||
name='工具助手',
|
||
description='可以使用画图工具和运行代码来解决问题',
|
||
function_list=tools,
|
||
)
|
||
|
||
# Define a router (simultaneously serving as a text agent)
|
||
bot = Router(
|
||
llm=llm_cfg,
|
||
agents=[bot_vl, bot_tool],
|
||
)
|
||
return bot
|
||
|
||
|
||
def test(
|
||
query: str = 'hello',
|
||
image: str = 'https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg',
|
||
file: Optional[str] = os.path.join(ROOT_RESOURCE, 'poem.pdf'),
|
||
):
|
||
# Define the agent
|
||
bot = init_agent_service()
|
||
|
||
# Chat
|
||
messages = []
|
||
|
||
if not image and not file:
|
||
messages.append({'role': 'user', 'content': query})
|
||
else:
|
||
messages.append({'role': 'user', 'content': [{'text': query}]})
|
||
if image:
|
||
messages[-1]['content'].append({'image': image})
|
||
if file:
|
||
messages[-1]['content'].append({'file': file})
|
||
|
||
for response in bot.run(messages):
|
||
print('bot response:', response)
|
||
|
||
|
||
def app_tui():
|
||
# Define the agent
|
||
bot = init_agent_service()
|
||
|
||
# Chat
|
||
messages = []
|
||
while True:
|
||
query = input('user question: ')
|
||
# Image example: https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg
|
||
image = input('image url (press enter if no image): ')
|
||
# File example: resource/poem.pdf
|
||
file = input('file url (press enter if no file): ').strip()
|
||
if not query:
|
||
print('user question cannot be empty！')
|
||
continue
|
||
if not image and not file:
|
||
messages.append({'role': 'user', 'content': query})
|
||
else:
|
||
messages.append({'role': 'user', 'content': [{'text': query}]})
|
||
if image:
|
||
messages[-1]['content'].append({'image': image})
|
||
if file:
|
||
messages[-1]['content'].append({'file': file})
|
||
|
||
response = []
|
||
for response in bot.run(messages):
|
||
print('bot response:', response)
|
||
messages.extend(response)
|
||
|
||
|
||
def app_gui():
|
||
bot = init_agent_service()
|
||
chatbot_config = {
|
||
'verbose': True,
|
||
}
|
||
WebUI(bot, chatbot_config=chatbot_config).run()
|
||
|
||
|
||
if __name__ == '__main__':
|
||
# test()
|
||
# app_tui()
|
||
app_gui()
|