wehub-resource-sync
58 lines
1.7 KiB
Python
58 lines
1.7 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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from qwen_agent.agents.doc_qa import ParallelDocQA
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from qwen_agent.gui import WebUI
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def test():
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bot = ParallelDocQA(llm={'model': 'qwen2.5-72b-instruct', 'generate_cfg': {'max_retries': 10}})
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messages = [
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{
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'role': 'user',
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'content': [
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{
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'text': '介绍实验方法'
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},
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{
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'file': 'https://arxiv.org/pdf/2310.08560.pdf'
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},
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]
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},
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]
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for rsp in bot.run(messages):
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print('bot response:', rsp)
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def app_gui():
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# Define the agent
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bot = ParallelDocQA(
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llm={
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'model': 'qwen2.5-72b-instruct',
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'generate_cfg': {
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'max_retries': 10
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}
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},
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description='并行QA后用RAG召回内容并回答。支持文件类型：PDF/Word/PPT/TXT/HTML。使用与材料相同的语言提问会更好。',
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)
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chatbot_config = {'prompt.suggestions': [{'text': '介绍实验方法'}]}
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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_gui()
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