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wehub-resource-sync a65ab1ac53
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chore: import upstream snapshot with attribution
2026-07-13 13:31:56 +08:00

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2.5 KiB
Python

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# 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 retrieval docqa assistant implemented by virtual memory agent"""
import os
from qwen_agent.agents import VirtualMemoryAgent
from qwen_agent.gui import WebUI
ROOT_RESOURCE = os.path.join(os.path.dirname(__file__), 'resource')
def init_agent_service():
llm_cfg = {'model': 'qwen-max'}
system = '一个文档问答助手。'
bot = VirtualMemoryAgent(
llm=llm_cfg,
system_message=system,
)
return bot
def test(query='简单列出这篇文章的贡献https://qianwen-res.oss-cn-beijing.aliyuncs.com/QWEN_TECHNICAL_REPORT.pdf',):
# Define the agent
bot = init_agent_service()
# Chat
messages = [{'role': 'user', 'content': query}]
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 example: 简单列出这篇文章的贡献https://qianwen-res.oss-cn-beijing.aliyuncs.com/QWEN_TECHNICAL_REPORT.pdf
query = input('user question: ')
# 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 file:
messages.append({'role': 'user', 'content': query})
else:
messages.append({'role': 'user', 'content': [{'text': query}, {'file': file}]})
response = []
for response in bot.run(messages):
print('bot response:', response)
messages.extend(response)
def app_gui():
# Define the agent
bot = init_agent_service()
chatbot_config = {
'prompt.suggestions': ['简单列出这篇文章的贡献https://qianwen-res.oss-cn-beijing.aliyuncs.com/QWEN_TECHNICAL_REPORT.pdf']
}
WebUI(
bot,
chatbot_config=chatbot_config,
).run()
if __name__ == '__main__':
# test()
# app_tui()
app_gui()