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