261 lines
12 KiB
Python
261 lines
12 KiB
Python
import glob, time, os, re, logging
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from toolbox import update_ui, trimmed_format_exc, gen_time_str, disable_auto_promotion
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from toolbox import CatchException, report_exception, get_log_folder
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from toolbox import write_history_to_file, promote_file_to_downloadzone
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fast_debug = False
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class PaperFileGroup():
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def __init__(self):
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self.file_paths = []
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self.file_contents = []
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self.sp_file_contents = []
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self.sp_file_index = []
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self.sp_file_tag = []
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# count_token
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from request_llms.bridge_all import model_info
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enc = model_info["gpt-3.5-turbo"]['tokenizer']
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def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
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self.get_token_num = get_token_num
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def run_file_split(self, max_token_limit=1900):
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"""
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将长文本分离开来
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"""
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for index, file_content in enumerate(self.file_contents):
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if self.get_token_num(file_content) < max_token_limit:
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self.sp_file_contents.append(file_content)
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self.sp_file_index.append(index)
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self.sp_file_tag.append(self.file_paths[index])
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else:
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from crazy_functions.pdf_fns.breakdown_txt import breakdown_text_to_satisfy_token_limit
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segments = breakdown_text_to_satisfy_token_limit(file_content, max_token_limit)
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for j, segment in enumerate(segments):
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self.sp_file_contents.append(segment)
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self.sp_file_index.append(index)
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self.sp_file_tag.append(self.file_paths[index] + f".part-{j}.md")
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logging.info('Segmentation: done')
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def merge_result(self):
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self.file_result = ["" for _ in range(len(self.file_paths))]
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for r, k in zip(self.sp_file_result, self.sp_file_index):
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self.file_result[k] += r
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def write_result(self, language):
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manifest = []
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for path, res in zip(self.file_paths, self.file_result):
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dst_file = os.path.join(get_log_folder(), f'{gen_time_str()}.md')
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with open(dst_file, 'w', encoding='utf8') as f:
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manifest.append(dst_file)
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f.write(res)
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return manifest
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def 多文件翻译(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='en'):
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from .crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
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# <-------- 读取Markdown文件，删除其中的所有注释 ---------->
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pfg = PaperFileGroup()
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for index, fp in enumerate(file_manifest):
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with open(fp, 'r', encoding='utf-8', errors='replace') as f:
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file_content = f.read()
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# 记录删除注释后的文本
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pfg.file_paths.append(fp)
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pfg.file_contents.append(file_content)
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# <-------- 拆分过长的Markdown文件 ---------->
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pfg.run_file_split(max_token_limit=1500)
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n_split = len(pfg.sp_file_contents)
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# <-------- 多线程翻译开始 ---------->
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if language == 'en->zh':
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inputs_array = ["This is a Markdown file, translate it into Chinese, do not modify any existing Markdown commands:" +
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f"\n\n{frag}" for frag in pfg.sp_file_contents]
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inputs_show_user_array = [f"翻译 {f}" for f in pfg.sp_file_tag]
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sys_prompt_array = ["You are a professional academic paper translator." for _ in range(n_split)]
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elif language == 'zh->en':
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inputs_array = [f"This is a Markdown file, translate it into English, do not modify any existing Markdown commands:" +
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f"\n\n{frag}" for frag in pfg.sp_file_contents]
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inputs_show_user_array = [f"翻译 {f}" for f in pfg.sp_file_tag]
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sys_prompt_array = ["You are a professional academic paper translator." for _ in range(n_split)]
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else:
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inputs_array = [f"This is a Markdown file, translate it into {language}, do not modify any existing Markdown commands, only answer me with translated results:" +
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f"\n\n{frag}" for frag in pfg.sp_file_contents]
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inputs_show_user_array = [f"翻译 {f}" for f in pfg.sp_file_tag]
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sys_prompt_array = ["You are a professional academic paper translator." for _ in range(n_split)]
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gpt_response_collection = yield from request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
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inputs_array=inputs_array,
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inputs_show_user_array=inputs_show_user_array,
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llm_kwargs=llm_kwargs,
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chatbot=chatbot,
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history_array=[[""] for _ in range(n_split)],
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sys_prompt_array=sys_prompt_array,
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# max_workers=5, # OpenAI所允许的最大并行过载
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scroller_max_len = 80
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)
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try:
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pfg.sp_file_result = []
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for i_say, gpt_say in zip(gpt_response_collection[0::2], gpt_response_collection[1::2]):
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pfg.sp_file_result.append(gpt_say)
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pfg.merge_result()
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pfg.write_result(language)
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except:
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logging.error(trimmed_format_exc())
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# <-------- 整理结果，退出 ---------->
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create_report_file_name = gen_time_str() + f"-chatgpt.md"
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res = write_history_to_file(gpt_response_collection, file_basename=create_report_file_name)
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promote_file_to_downloadzone(res, chatbot=chatbot)
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history = gpt_response_collection
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chatbot.append((f"{fp}完成了吗？", res))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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def get_files_from_everything(txt, preference=''):
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if txt == "": return False, None, None
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success = True
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if txt.startswith('http'):
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import requests
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from toolbox import get_conf
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proxies = get_conf('proxies')
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# 网络的远程文件
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if preference == 'Github':
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logging.info('正在从github下载资源 ...')
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if not txt.endswith('.md'):
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# Make a request to the GitHub API to retrieve the repository information
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url = txt.replace("https://github.com/", "https://api.github.com/repos/") + '/readme'
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response = requests.get(url, proxies=proxies)
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txt = response.json()['download_url']
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else:
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txt = txt.replace("https://github.com/", "https://raw.githubusercontent.com/")
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txt = txt.replace("/blob/", "/")
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r = requests.get(txt, proxies=proxies)
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download_local = f'{get_log_folder(plugin_name="批量Markdown翻译")}/raw-readme-{gen_time_str()}.md'
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project_folder = f'{get_log_folder(plugin_name="批量Markdown翻译")}'
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with open(download_local, 'wb+') as f: f.write(r.content)
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file_manifest = [download_local]
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elif txt.endswith('.md'):
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# 直接给定文件
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file_manifest = [txt]
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project_folder = os.path.dirname(txt)
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elif os.path.exists(txt):
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# 本地路径，递归搜索
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project_folder = txt
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file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.md', recursive=True)]
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else:
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project_folder = None
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file_manifest = []
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success = False
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return success, file_manifest, project_folder
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@CatchException
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def Markdown英译中(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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# 基本信息：功能、贡献者
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chatbot.append([
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"函数插件功能？",
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"对整个Markdown项目进行翻译。函数插件贡献者: Binary-Husky"])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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disable_auto_promotion(chatbot)
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# 尝试导入依赖，如果缺少依赖，则给出安装建议
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try:
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import tiktoken
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except:
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report_exception(chatbot, history,
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a=f"解析项目: {txt}",
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b=f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade tiktoken```。")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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history = [] # 清空历史，以免输入溢出
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success, file_manifest, project_folder = get_files_from_everything(txt, preference="Github")
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if not success:
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# 什么都没有
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if txt == "": txt = '空空如也的输入栏'
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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if len(file_manifest) == 0:
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.md文件: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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yield from 多文件翻译(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='en->zh')
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@CatchException
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def Markdown中译英(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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# 基本信息：功能、贡献者
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chatbot.append([
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"函数插件功能？",
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"对整个Markdown项目进行翻译。函数插件贡献者: Binary-Husky"])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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disable_auto_promotion(chatbot)
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# 尝试导入依赖，如果缺少依赖，则给出安装建议
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try:
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import tiktoken
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except:
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report_exception(chatbot, history,
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a=f"解析项目: {txt}",
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b=f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade tiktoken```。")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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history = [] # 清空历史，以免输入溢出
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success, file_manifest, project_folder = get_files_from_everything(txt)
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if not success:
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# 什么都没有
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if txt == "": txt = '空空如也的输入栏'
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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if len(file_manifest) == 0:
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.md文件: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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yield from 多文件翻译(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='zh->en')
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@CatchException
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def Markdown翻译指定语言(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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# 基本信息：功能、贡献者
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chatbot.append([
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"函数插件功能？",
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"对整个Markdown项目进行翻译。函数插件贡献者: Binary-Husky"])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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disable_auto_promotion(chatbot)
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# 尝试导入依赖，如果缺少依赖，则给出安装建议
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try:
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import tiktoken
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except:
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report_exception(chatbot, history,
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a=f"解析项目: {txt}",
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b=f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade tiktoken```。")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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history = [] # 清空历史，以免输入溢出
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success, file_manifest, project_folder = get_files_from_everything(txt)
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if not success:
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# 什么都没有
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if txt == "": txt = '空空如也的输入栏'
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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if len(file_manifest) == 0:
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.md文件: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
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language = plugin_kwargs.get("advanced_arg", 'Chinese')
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yield from 多文件翻译(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language=language) |