43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
import os
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"""
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文件夹路径
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"""
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cur_dir = os.path.dirname(os.path.abspath(__file__)) # config
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base_dir = os.path.dirname(cur_dir) # base
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# model
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model_dir = os.path.join(base_dir, 'model') # model
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# data
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data_dir = os.path.join(base_dir, 'data') # /Users/wangyoufang/Downloads/EmoLLM/scripts/qa_generation/data
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clean_dir = os.path.join(data_dir, 'cleaned')
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judge_dir = os.path.join(data_dir, '数据整合')
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result_dir = os.path.join(data_dir, 'generated') # result
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# log
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log_dir = os.path.join(base_dir, 'log') # log
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log_file_path = os.path.join(log_dir, 'log.log') # file
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# system prompt
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# Prompt内容
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system_prompt_file_path = os.path.join(base_dir, 'system_prompt_v2.md') # system prompt
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wash_prompt_file_path = os.path.join(base_dir, 'choose_prompt.md')
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"""
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环境变量
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"""
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# api-keys
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DASHSCOPE_API_KEY = ''
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"""
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控制参数
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"""
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storage_interval = 10
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window_size = 8
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overlap_size = 2
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multi_process_num = 1
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