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from typing import List, Tuple, Union
from web_ui import WebUI
import math
import os
from qwen_agent.agents import Assistant
from qwen_agent.gui.gradio import gr
def app_gui():
# Define the agent
bot = Assistant(llm={
'model': os.environ.get("MODELNAME"),
'model_type': 'qwen_dashscope',
'generate_cfg': {
'max_input_tokens': 32768,
'max_retries': 10,
'temperature': float(os.environ.get("T", 0.001)),
'repetition_penalty': float(os.environ.get("R", 1.0)),
"top_k": int(os.environ.get("K", 20)),
"top_p": float(os.environ.get("P", 0.8)),
}},
name='QwQ-32B-preview',
description='QwQ-32B-Preview is an experimental research model developed by the Qwen Team, focused on advancing AI reasoning capabilities. As a preview release, it demonstrates promising analytical abilities while having several important limitations such as code switching and recursive reasoning loops. Only single-turn queries are supported in this demo.',
system_message= 'You are a helpful and harmless assistant. You are Qwen developed by Alibaba. You should think step-by-step.',
rag_cfg={'max_ref_token': 32768, 'rag_searchers': []},
)
chatbot_config = {
'input.placeholder': "Type \"/clear\" to clear the history",
'verbose': True,
'prompt.suggestions': [
{
'text': 'How many r in strawberry'
},
{
'text': 'Find the least odd prime factor of $2019^8+1$.'
},
{
'text': '''Sๅ
็ใPๅ
็ใQๅ
็ไปไปฌ็ฅ้ๆกๅญ็ๆฝๅฑ้ๆ16ๅผ ๆๅ
็๏ผ็บขๆกAใQใ4 ้ปๆกJใ8ใ4ใ2ใ7ใ3 ่่ฑKใQใ5ใ4ใ6 ๆนๅAใ5ใ็บฆ็ฟฐๆๆไป่ฟ16ๅผ ็ไธญๆๅบไธๅผ ็ๆฅ๏ผๅนถๆ่ฟๅผ ็็็นๆฐๅ่ฏ Pๅ
็๏ผๆ่ฟๅผ ็็่ฑ่ฒๅ่ฏQๅ
็ใ่ฟๆถ๏ผ็บฆ็ฟฐๆๆ้ฎPๅ
็ๅQ ๅ
็๏ผไฝ ไปฌ่ฝไปๅทฒ็ฅ็็นๆฐๆ่ฑ่ฒไธญๆจ็ฅ่ฟๅผ ็ๆฏไปไน็ๅ๏ผไบๆฏ๏ผSๅ
็ๅฌๅฐๅฆไธ็ๅฏน่ฏ๏ผ
Pๅ
็๏ผๆไธ็ฅ้่ฟๅผ ็ใ
Qๅ
็๏ผๆ็ฅ้ไฝ ไธ็ฅ้่ฟๅผ ็ใ
Pๅ
็๏ผ็ฐๅจๆ็ฅ้่ฟๅผ ็ไบใ
Qๅ
็๏ผๆไน็ฅ้ไบใ
่ฏท้ฎ๏ผ่ฟๅผ ็ๆฏไปไน็๏ผ'''
},
]
}
WebUI(bot, chatbot_config=chatbot_config).run(concurrency_limit=80)
if __name__ == '__main__':
app_gui()
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