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- import os
- from pathlib import Path
- """ ===== global setting ===== """
- # the path of browser infomation
- work_space_root = os.path.join(Path(__file__).parent.parent, 'workspace/')
- cache_root = os.path.join(work_space_root, 'browser_cache/')
- download_root = os.path.join(work_space_root, 'download/')
- browser_cache_file = 'browse.jsonl'
- url_file = 'popup_url.jsonl'
- # the path of workspace of code interpreter
- code_interpreter_ws = os.path.join(work_space_root, 'ci_workspace/')
- MAX_TOKEN = 4000 # the max token number of reference material
- llm = 'Qwen-7B-Chat' # ['Qwen-7B-Chat', 'gpt-4'] - the llm for using
- prompt_lan = 'EN' # ['CN', 'EN'] - the language of built-in prompt
- # using similarity search on reference material before answer
- similarity_search = True # [True, False]
- similarity_search_type = 'jaccard' # ['keyword', 'querymatch', 'llm', 'jaccard']
- """ ===== main.py setting ===== """
- # the port of main.py
- fast_api_port = 7866
- figure_host = '127.0.0.1'
- fast_api_figure_url = 'http://'+figure_host+':'+str(fast_api_port)+'/static'
- address_file = os.path.join(work_space_root, 'address_file.json')
- pre_gen_question = False # [True, False] - pre gen qustion for each block
- """ ===== app.py setting (editing workstation) ===== """
- max_days = 7 # the number of days for displaying
- auto_agent = False # [True, False] - automatic using plug-in after wrinting every section
- # special instructions in editing
- plugin_flag = '/plug' # using plug-in
- code_flag = '/code' # using code interpreter
- title_flag = '/title' # writing a full article with planning
- ifbunit_flag = '/ifbunit'
- """ ===== app_in_browser.py setting (browser interactive interfaces) ===== """
- app_in_browser_port = 7890
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