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67 lines
2.1 KiB
Python
67 lines
2.1 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 gpt @mentions gradio demo"""
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from qwen_agent.agents import Assistant, ReActChat
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from qwen_agent.agents.doc_qa import BasicDocQA
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from qwen_agent.gui import WebUI
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def init_agent_service():
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llm_cfg = {'model': 'qwen-max'}
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react_chat_agent = ReActChat(
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llm=llm_cfg,
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name='代码解释器',
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description='代码解释器,可用于执行Python代码。',
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system_message='you are a programming expert, skilled in writing code '
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'to solve mathematical problems and data analysis problems.',
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function_list=['code_interpreter'],
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)
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doc_qa_agent = BasicDocQA(
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llm=llm_cfg,
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name='文档问答',
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description='根据用户输入的问题和文档,从文档中找到答案',
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)
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assistant_agent = Assistant(llm=llm_cfg, name='小助理', description="I'm a helpful assistant")
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return [react_chat_agent, doc_qa_agent, assistant_agent]
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def app_gui():
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agent_list = init_agent_service()
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chatbotConfig = {
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'prompt.suggestions': [
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'@代码解释器 2 ^ 10 = ?',
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'@文档问答 这篇论文解决了什么问题?',
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'@小助理 你好!',
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],
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'verbose': True
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}
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WebUI(
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agent_list,
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chatbot_config=chatbotConfig,
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).run(messages=[{
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'role': 'assistant',
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'content': [{
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'text': '试试看 @代码解释器 来问我~'
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}]
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}], enable_mention=True)
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if __name__ == '__main__':
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app_gui()
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