wehub-resource-sync
94 lines
3.2 KiB
Python
94 lines
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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"""An image generation agent implemented by assistant with qwq"""
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import os
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from qwen_agent.agents import Assistant
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from qwen_agent.gui import WebUI
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from qwen_agent.utils.output_beautify import typewriter_print
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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': 'qwq-32b',
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'model_type': 'qwen_dashscope',
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'generate_cfg': {
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'fncall_prompt_type': 'nous',
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# This parameter needs to be passed in when the deployed model is an reasoning model (e.g. qwq-32b) and *does not* support the reasoning_content field (e.g. deploying qwq-32b directly with an old version of vLLM)
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# Add: When the content is `<think>this is the thought</think>this is the answer`
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# Do not add: When the response has been separated by reasoning_content and content
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# This parameter will affect the parsing strategy of tool call
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# 'thought_in_content': True,
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},
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}
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tools = [
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'image_gen',
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# 'web_search', # Apply for an apikey here (https://serper.dev) and set it as an environment variable by `export SERPER_API_KEY=xxxxxx`
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]
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bot = Assistant(
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llm=llm_cfg,
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function_list=tools,
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name='QwQ-32B Tool-calling Demo',
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description="I'm a demo using the QwQ-32B tool calling. Welcome to add and play with your own tools!")
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return bot
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def test(query: str = '画一只猫，再画一只狗，最后画他们一起玩的画面，给我三张图'):
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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 = [{'role': 'user', 'content': query}]
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response_plain_text = ''
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for response in bot.run(messages=messages):
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response_plain_text = typewriter_print(response, response_plain_text)
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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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messages.append({'role': 'user', 'content': query})
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response = []
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response_plain_text = ''
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for response in bot.run(messages=messages):
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response_plain_text = typewriter_print(response, response_plain_text)
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messages.extend(response)
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def app_gui():
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# Define the agent
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bot = init_agent_service()
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chatbot_config = {'prompt.suggestions': ['画一只猫，再画一只狗，最后画他们一起玩的画面，给我三张图']}
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WebUI(
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bot,
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chatbot_config=chatbot_config,
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).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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