qwenlm--qwen-agent
wehub-resource-sync
100 行
3.2 KiB
Python
100 行
3.2 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 data analysis example implemented by assistant"""
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import os
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from pprint import pprint
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from typing import Optional
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from qwen_agent.agents import ReActChat
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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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llm_cfg = {
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# 'model': 'Qwen/Qwen1.5-72B-Chat',
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# 'model_server': 'https://api.together.xyz',
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# 'api_key': os.getenv('TOGETHER_API_KEY'),
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'model': 'qwen-max',
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'model_server': 'dashscope',
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'api_key': os.getenv('DASHSCOPE_API_KEY'),
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}
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tools = ['code_interpreter']
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bot = ReActChat(llm=llm_cfg,
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name='code interpreter',
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description='This agent can run code to solve the problem',
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function_list=tools)
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return bot
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def test(query: str = 'pd.head the file first and then help me draw a line chart to show the changes in stock prices',
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file: Optional[str] = os.path.join(ROOT_RESOURCE, 'stock_prices.csv')):
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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 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}, {'file': file}]})
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for response in bot.run(messages):
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pprint(response, indent=2)
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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 example: pd.head the file first and then help me draw a line chart to show the changes in stock prices
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query = input('user question: ')
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# File example: resource/stock_prices.csv
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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 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}, {'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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'prompt.suggestions': [{
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'text': 'pd.head the file first and then help me draw a line chart to show the changes in stock prices',
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'files': [os.path.join(ROOT_RESOURCE, 'stock_prices.csv')]
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}, 'Draw a line graph y=x^2']
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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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