From 4a79aa6a93ce52abfdedab3a1727618fdf2a9a7c Mon Sep 17 00:00:00 2001 From: Steven Moder Date: Sun, 2 Mar 2025 02:16:10 +0800 Subject: [PATCH] typo: Fix typos and rename functions across multiple files (#2130) * typo: Fix typos and rename functions across multiple files This commit addresses several minor issues: - Corrected spelling of function names (e.g., `update_ui_lastest_msg` to `update_ui_latest_msg`) - Fixed typos in comments and variable names - Corrected capitalization in some strings (e.g., "ArXiv" instead of "Arixv") - Renamed some variables for consistency - Corrected some console-related parameter names (e.g., `console_slience` to `console_silence`) The changes span multiple files across the project, including request LLM bridges, crazy functions, and utility modules. * fix: f-string expression part cannot include a backslash (#2139) * raise error when the uploaded tar contain hard/soft link (#2136) * minor bug fix * fine tune reasoning css * upgrade internet gpt plugin * Update README.md * fix GHSA-gqp5-wm97-qxcv * typo fix * update readme --------- Co-authored-by: binary-husky <96192199+binary-husky@users.noreply.github.com> Co-authored-by: binary-husky --- README.md | 2 +- crazy_functional.py | 4 +-- crazy_functions/Internet_GPT.py | 32 ++++++++--------- crazy_functions/Latex_Function.py | 30 ++++++++-------- crazy_functions/PDF_Translate.py | 8 ++--- crazy_functions/PDF_Translate_Wrap.py | 2 +- crazy_functions/Rag_Interface.py | 12 +++---- crazy_functions/Social_Helper.py | 18 +++++----- crazy_functions/SourceCode_Comment.py | 4 +-- crazy_functions/VideoResource_GPT.py | 26 +++++++------- crazy_functions/agent_fns/auto_agent.py | 2 +- crazy_functions/agent_fns/echo_agent.py | 2 +- crazy_functions/agent_fns/general.py | 2 +- .../agent_fns/python_comment_agent.py | 22 ++++++------ crazy_functions/crazy_utils.py | 28 +++++++-------- crazy_functions/game_fns/game_ascii_art.py | 10 +++--- .../game_fns/game_interactive_story.py | 16 ++++----- crazy_functions/gen_fns/gen_fns_shared.py | 2 +- crazy_functions/json_fns/pydantic_io.py | 4 +-- crazy_functions/latex_fns/latex_actions.py | 30 ++++++++-------- crazy_functions/latex_fns/latex_toolbox.py | 36 +++++++++---------- crazy_functions/media_fns/get_media.py | 4 +-- .../multi_stage/multi_stage_utils.py | 2 +- crazy_functions/pdf_fns/parse_pdf.py | 2 +- crazy_functions/pdf_fns/parse_pdf_grobid.py | 2 +- crazy_functions/pdf_fns/parse_word.py | 22 ++++++------ crazy_functions/vector_fns/vector_database.py | 26 +++++++------- crazy_functions/vt_fns/vt_call_plugin.py | 16 ++++----- crazy_functions/vt_fns/vt_modify_config.py | 18 +++++----- crazy_functions/vt_fns/vt_state.py | 2 +- crazy_functions/互动小游戏.py | 2 +- crazy_functions/函数动态生成.py | 26 +++++++------- crazy_functions/多智能体.py | 2 +- crazy_functions/批量翻译PDF文档_NOUGAT.py | 2 +- crazy_functions/数学动画生成manim.py | 2 +- crazy_functions/生成多种Mermaid图表.py | 12 +++---- crazy_functions/知识库问答.py | 6 ++-- crazy_functions/虚空终端.py | 16 ++++----- crazy_functions/语音助手.py | 2 +- crazy_functions/谷歌检索小助手.py | 4 +-- docs/translate_english.json | 10 +++--- docs/translate_japanese.json | 6 ++-- docs/translate_traditionalchinese.json | 6 ++-- request_llms/bridge_all.py | 10 +++--- request_llms/bridge_chatglmft.py | 2 +- request_llms/bridge_chatgpt.py | 6 ++-- request_llms/bridge_chatgpt_vision.py | 6 ++-- request_llms/bridge_claude.py | 4 +-- request_llms/bridge_cohere.py | 6 ++-- request_llms/bridge_google_gemini.py | 6 ++-- request_llms/bridge_jittorllms_llama.py | 4 +-- request_llms/bridge_jittorllms_pangualpha.py | 4 +-- request_llms/bridge_jittorllms_rwkv.py | 4 +-- request_llms/bridge_llama2.py | 10 +++--- request_llms/bridge_moonshot.py | 2 +- request_llms/bridge_moss.py | 4 +-- request_llms/bridge_newbingfree.py | 2 +- request_llms/bridge_ollama.py | 6 ++-- request_llms/bridge_openrouter.py | 6 ++-- request_llms/bridge_qianfan.py | 2 +- request_llms/bridge_qwen.py | 8 ++--- request_llms/bridge_skylark2.py | 8 ++--- request_llms/bridge_spark.py | 6 ++-- request_llms/bridge_stackclaude.py | 2 +- request_llms/bridge_taichu.py | 6 ++-- request_llms/bridge_tgui.py | 12 +++---- request_llms/bridge_zhipu.py | 8 ++--- request_llms/local_llm_class.py | 2 +- request_llms/oai_std_model_template.py | 6 ++-- shared_utils/char_visual_effect.py | 2 +- shared_utils/connect_void_terminal.py | 2 +- tests/test_python_auto_docstring.py | 12 +++---- themes/waifu_plugin/live2d.js | 2 +- toolbox.py | 8 ++--- 74 files changed, 325 insertions(+), 325 deletions(-) diff --git a/README.md b/README.md index c9a601e8..1fe0c70b 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ > [!IMPORTANT] -> `master主分支`最新动态(2025.2.13): 联网组件支持Jina的api / 增加deepseek-r1支持 +> `master主分支`最新动态(2025.3.2): 修复大量代码typo / 联网组件支持Jina的api / 增加deepseek-r1支持 > `frontier开发分支`最新动态(2024.12.9): 更新对话时间线功能，优化xelatex论文翻译 > `wiki文档`最新动态(2024.12.5): 更新ollama接入指南 > diff --git a/crazy_functional.py b/crazy_functional.py index 2d26754b..dde48786 100644 --- a/crazy_functional.py +++ b/crazy_functional.py @@ -113,7 +113,7 @@ def get_crazy_functions(): "Group": "学术", "Color": "stop", "AsButton": True, - "Info": "Arixv论文精细翻译 | 输入参数arxiv论文的ID，比如1812.10695", + "Info": "ArXiv论文精细翻译 | 输入参数arxiv论文的ID，比如1812.10695", "Function": HotReload(Latex翻译中文并重新编译PDF), # 当注册Class后，Function旧接口仅会在“虚空终端”中起作用 "Class": Arxiv_Localize, # 新一代插件需要注册Class }, @@ -352,7 +352,7 @@ def get_crazy_functions(): "ArgsReminder": r"如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 " r"例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: " r'If the term "agent" is used in this section, it should be translated to "智能体". ', - "Info": "Arixv论文精细翻译 | 输入参数arxiv论文的ID，比如1812.10695", + "Info": "ArXiv论文精细翻译 | 输入参数arxiv论文的ID，比如1812.10695", "Function": HotReload(Latex翻译中文并重新编译PDF), # 当注册Class后，Function旧接口仅会在“虚空终端”中起作用 "Class": Arxiv_Localize, # 新一代插件需要注册Class }, diff --git a/crazy_functions/Internet_GPT.py b/crazy_functions/Internet_GPT.py index 12c22f41..7b506706 100644 --- a/crazy_functions/Internet_GPT.py +++ b/crazy_functions/Internet_GPT.py @@ -7,7 +7,7 @@ from bs4 import BeautifulSoup from functools import lru_cache from itertools import zip_longest from check_proxy import check_proxy -from toolbox import CatchException, update_ui, get_conf, update_ui_lastest_msg +from toolbox import CatchException, update_ui, get_conf, update_ui_latest_msg from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, input_clipping from request_llms.bridge_all import model_info from request_llms.bridge_all import predict_no_ui_long_connection @@ -49,7 +49,7 @@ def search_optimizer( mutable = ["", time.time(), ""] llm_kwargs["temperature"] = 0.8 try: - querys_json = predict_no_ui_long_connection( + query_json = predict_no_ui_long_connection( inputs=query, llm_kwargs=llm_kwargs, history=[], @@ -57,31 +57,31 @@ def search_optimizer( observe_window=mutable, ) except Exception: - querys_json = "1234" + query_json = "null" #* 尝试解码优化后的搜索结果 - querys_json = re.sub(r"```json|```", "", querys_json) + query_json = re.sub(r"```json|```", "", query_json) try: - querys = json.loads(querys_json) + queries = json.loads(query_json) except Exception: #* 如果解码失败,降低温度再试一次 try: llm_kwargs["temperature"] = 0.4 - querys_json = predict_no_ui_long_connection( + query_json = predict_no_ui_long_connection( inputs=query, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=mutable, ) - querys_json = re.sub(r"```json|```", "", querys_json) - querys = json.loads(querys_json) + query_json = re.sub(r"```json|```", "", query_json) + queries = json.loads(query_json) except Exception: #* 如果再次失败，直接返回原始问题 - querys = [query] + queries = [query] links = [] success = 0 Exceptions = "" - for q in querys: + for q in queries: try: link = searxng_request(q, proxies, categories, searxng_url, engines=engines) if len(link) > 0: @@ -224,15 +224,15 @@ def internet_search_with_analysis_prompt(prompt, analysis_prompt, llm_kwargs, ch categories = 'general' searxng_url = None # 使用默认的searxng_url engines = None # 使用默认的搜索引擎 - yield from update_ui_lastest_msg(lastmsg=f"检索中: {prompt} ...", chatbot=chatbot, history=[], delay=1) + yield from update_ui_latest_msg(lastmsg=f"检索中: {prompt} ...", chatbot=chatbot, history=[], delay=1) urls = searxng_request(prompt, proxies, categories, searxng_url, engines=engines) - yield from update_ui_lastest_msg(lastmsg=f"依次访问搜索到的网站 ...", chatbot=chatbot, history=[], delay=1) + yield from update_ui_latest_msg(lastmsg=f"依次访问搜索到的网站 ...", chatbot=chatbot, history=[], delay=1) if len(urls) == 0: return None max_search_result = 5 # 最多收纳多少个网页的结果 history = [] for index, url in enumerate(urls[:max_search_result]): - yield from update_ui_lastest_msg(lastmsg=f"依次访问搜索到的网站: {url['link']} ...", chatbot=chatbot, history=[], delay=1) + yield from update_ui_latest_msg(lastmsg=f"依次访问搜索到的网站: {url['link']} ...", chatbot=chatbot, history=[], delay=1) res = scrape_text(url['link'], proxies) prefix = f"第{index}份搜索结果 [源自{url['source'][0]}搜索] （{url['title'][:25]}）：" history.extend([prefix, res]) @@ -247,7 +247,7 @@ def internet_search_with_analysis_prompt(prompt, analysis_prompt, llm_kwargs, ch llm_kwargs=llm_kwargs, history=history, sys_prompt="请从搜索结果中抽取信息，对最相关的两个搜索结果进行总结，然后回答问题。", - console_slience=False, + console_silence=False, ) return gpt_say @@ -304,7 +304,7 @@ def 连接网络回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, s # 开始 prefix = f"正在加载 第{index+1}份搜索结果 [源自{url['source'][0]}搜索] （{url['title'][:25]}）：" string_structure = template.format(TITLE=prefix, URL=url['link'], CONTENT="正在加载，请稍后 ......") - yield from update_ui_lastest_msg(lastmsg=(buffer + string_structure), chatbot=chatbot, history=history, delay=0.1) # 刷新界面 + yield from update_ui_latest_msg(lastmsg=(buffer + string_structure), chatbot=chatbot, history=history, delay=0.1) # 刷新界面 # 获取结果 res = future.result() @@ -316,7 +316,7 @@ def 连接网络回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, s # 更新历史 history.extend([prefix, res]) - yield from update_ui_lastest_msg(lastmsg=buffer, chatbot=chatbot, history=history, delay=0.1) # 刷新界面 + yield from update_ui_latest_msg(lastmsg=buffer, chatbot=chatbot, history=history, delay=0.1) # 刷新界面 # ------------- < 第3步：ChatGPT综合 > ------------- if (optimizer != "开启(增强)"): diff --git a/crazy_functions/Latex_Function.py b/crazy_functions/Latex_Function.py index 310aaa4b..5ef0ccfb 100644 --- a/crazy_functions/Latex_Function.py +++ b/crazy_functions/Latex_Function.py @@ -1,5 +1,5 @@ from toolbox import update_ui, trimmed_format_exc, get_conf, get_log_folder, promote_file_to_downloadzone, check_repeat_upload, map_file_to_sha256 -from toolbox import CatchException, report_exception, update_ui_lastest_msg, zip_result, gen_time_str +from toolbox import CatchException, report_exception, update_ui_latest_msg, zip_result, gen_time_str from functools import partial from loguru import logger @@ -41,7 +41,7 @@ def switch_prompt(pfg, mode, more_requirement): return inputs_array, sys_prompt_array -def desend_to_extracted_folder_if_exist(project_folder): +def descend_to_extracted_folder_if_exist(project_folder): """ Descend into the extracted folder if it exists, otherwise return the original folder. @@ -130,7 +130,7 @@ def arxiv_download(chatbot, history, txt, allow_cache=True): if not txt.startswith('https://arxiv.org/abs/'): msg = f"解析arxiv网址失败, 期望格式例如: https://arxiv.org/abs/1707.06690。实际得到格式: {url_}。" - yield from update_ui_lastest_msg(msg, chatbot=chatbot, history=history) # 刷新界面 + yield from update_ui_latest_msg(msg, chatbot=chatbot, history=history) # 刷新界面 return msg, None # <-------------- set format -------------> arxiv_id = url_.split('/abs/')[-1] @@ -156,16 +156,16 @@ def arxiv_download(chatbot, history, txt, allow_cache=True): return False if os.path.exists(dst) and allow_cache: - yield from update_ui_lastest_msg(f"调用缓存 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面 + yield from update_ui_latest_msg(f"调用缓存 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面 success = True else: - yield from update_ui_lastest_msg(f"开始下载 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面 + yield from update_ui_latest_msg(f"开始下载 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面 success = fix_url_and_download() - yield from update_ui_lastest_msg(f"下载完成 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面 + yield from update_ui_latest_msg(f"下载完成 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面 if not success: - yield from update_ui_lastest_msg(f"下载失败 {arxiv_id}", chatbot=chatbot, history=history) + yield from update_ui_latest_msg(f"下载失败 {arxiv_id}", chatbot=chatbot, history=history) raise tarfile.ReadError(f"论文下载失败 {arxiv_id}") # <-------------- extract file -------------> @@ -288,7 +288,7 @@ def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, histo return # <-------------- if is a zip/tar file -------------> - project_folder = desend_to_extracted_folder_if_exist(project_folder) + project_folder = descend_to_extracted_folder_if_exist(project_folder) # <-------------- move latex project away from temp folder -------------> from shared_utils.fastapi_server import validate_path_safety @@ -365,7 +365,7 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, try: txt, arxiv_id = yield from arxiv_download(chatbot, history, txt, allow_cache) except tarfile.ReadError as e: - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( "无法自动下载该论文的Latex源码，请前往arxiv打开此论文下载页面，点other Formats，然后download source手动下载latex源码包。接下来调用本地Latex翻译插件即可。", chatbot=chatbot, history=history) return @@ -404,7 +404,7 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, return # <-------------- if is a zip/tar file -------------> - project_folder = desend_to_extracted_folder_if_exist(project_folder) + project_folder = descend_to_extracted_folder_if_exist(project_folder) # <-------------- move latex project away from temp folder -------------> from shared_utils.fastapi_server import validate_path_safety @@ -518,7 +518,7 @@ def PDF翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, h # repeat, project_folder = check_repeat_upload(file_manifest[0], hash_tag) # if repeat: - # yield from update_ui_lastest_msg(f"发现重复上传，请查收结果（压缩包）...", chatbot=chatbot, history=history) + # yield from update_ui_latest_msg(f"发现重复上传，请查收结果（压缩包）...", chatbot=chatbot, history=history) # try: # translate_pdf = [f for f in glob.glob(f'{project_folder}/**/merge_translate_zh.pdf', recursive=True)][0] # promote_file_to_downloadzone(translate_pdf, rename_file=None, chatbot=chatbot) @@ -531,7 +531,7 @@ def PDF翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, h # report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"发现重复上传，但是无法找到相关文件") # yield from update_ui(chatbot=chatbot, history=history) # else: - # yield from update_ui_lastest_msg(f"未发现重复上传", chatbot=chatbot, history=history) + # yield from update_ui_latest_msg(f"未发现重复上传", chatbot=chatbot, history=history) # <-------------- convert pdf into tex -------------> chatbot.append([f"解析项目: {txt}", "正在将PDF转换为tex项目，请耐心等待..."]) @@ -543,7 +543,7 @@ def PDF翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, h return False # <-------------- translate latex file into Chinese -------------> - yield from update_ui_lastest_msg("正在tex项目将翻译为中文...", chatbot=chatbot, history=history) + yield from update_ui_latest_msg("正在tex项目将翻译为中文...", chatbot=chatbot, history=history) file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] if len(file_manifest) == 0: report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何.tex文件: {txt}") @@ -551,7 +551,7 @@ def PDF翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, h return # <-------------- if is a zip/tar file -------------> - project_folder = desend_to_extracted_folder_if_exist(project_folder) + project_folder = descend_to_extracted_folder_if_exist(project_folder) # <-------------- move latex project away from temp folder -------------> from shared_utils.fastapi_server import validate_path_safety @@ -571,7 +571,7 @@ def PDF翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, h switch_prompt=_switch_prompt_) # <-------------- compile PDF -------------> - yield from update_ui_lastest_msg("正在将翻译好的项目tex项目编译为PDF...", chatbot=chatbot, history=history) + yield from update_ui_latest_msg("正在将翻译好的项目tex项目编译为PDF...", chatbot=chatbot, history=history) success = yield from 编译Latex(chatbot, history, main_file_original='merge', main_file_modified='merge_translate_zh', mode='translate_zh', work_folder_original=project_folder, work_folder_modified=project_folder, diff --git a/crazy_functions/PDF_Translate.py b/crazy_functions/PDF_Translate.py index a4d10837..d47d4c71 100644 --- a/crazy_functions/PDF_Translate.py +++ b/crazy_functions/PDF_Translate.py @@ -1,5 +1,5 @@ from toolbox import CatchException, check_packages, get_conf -from toolbox import update_ui, update_ui_lastest_msg, disable_auto_promotion +from toolbox import update_ui, update_ui_latest_msg, disable_auto_promotion from toolbox import trimmed_format_exc_markdown from crazy_functions.crazy_utils import get_files_from_everything from crazy_functions.pdf_fns.parse_pdf import get_avail_grobid_url @@ -57,9 +57,9 @@ def 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst yield from 解析PDF_基于GROBID(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, grobid_url) return - if method == "ClASSIC": + if method == "Classic": # ------- 第三种方法，早期代码，效果不理想 ------- - yield from update_ui_lastest_msg("GROBID服务不可用，请检查config中的GROBID_URL。作为替代，现在将执行效果稍差的旧版代码。", chatbot, history, delay=3) + yield from update_ui_latest_msg("GROBID服务不可用，请检查config中的GROBID_URL。作为替代，现在将执行效果稍差的旧版代码。", chatbot, history, delay=3) yield from 解析PDF_简单拆解(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt) return @@ -77,7 +77,7 @@ def 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst if grobid_url is not None: yield from 解析PDF_基于GROBID(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, grobid_url) return - yield from update_ui_lastest_msg("GROBID服务不可用，请检查config中的GROBID_URL。作为替代，现在将执行效果稍差的旧版代码。", chatbot, history, delay=3) + yield from update_ui_latest_msg("GROBID服务不可用，请检查config中的GROBID_URL。作为替代，现在将执行效果稍差的旧版代码。", chatbot, history, delay=3) yield from 解析PDF_简单拆解(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt) return diff --git a/crazy_functions/PDF_Translate_Wrap.py b/crazy_functions/PDF_Translate_Wrap.py index 669051bb..682a1078 100644 --- a/crazy_functions/PDF_Translate_Wrap.py +++ b/crazy_functions/PDF_Translate_Wrap.py @@ -19,7 +19,7 @@ class PDF_Tran(GptAcademicPluginTemplate): "additional_prompt": ArgProperty(title="额外提示词", description="例如：对专有名词、翻译语气等方面的要求", default_value="", type="string").model_dump_json(), # 高级参数输入区，自动同步 "pdf_parse_method": - ArgProperty(title="PDF解析方法", options=["DOC2X", "GROBID", "ClASSIC"], description="无", default_value="GROBID", type="dropdown").model_dump_json(), + ArgProperty(title="PDF解析方法", options=["DOC2X", "GROBID", "Classic"], description="无", default_value="GROBID", type="dropdown").model_dump_json(), } return gui_definition diff --git a/crazy_functions/Rag_Interface.py b/crazy_functions/Rag_Interface.py index 72bf5806..73bb7a6a 100644 --- a/crazy_functions/Rag_Interface.py +++ b/crazy_functions/Rag_Interface.py @@ -4,7 +4,7 @@ from typing import List from shared_utils.fastapi_server import validate_path_safety from toolbox import report_exception -from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_lastest_msg +from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_latest_msg from shared_utils.fastapi_server import validate_path_safety from crazy_functions.crazy_utils import input_clipping from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive @@ -92,7 +92,7 @@ def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, u chatbot.append([txt, f'正在清空 ({current_context}) ...']) yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 rag_worker.purge_vector_store() - yield from update_ui_lastest_msg('已清空', chatbot, history, delay=0) # 刷新界面 + yield from update_ui_latest_msg('已清空', chatbot, history, delay=0) # 刷新界面 return # 3. Normal Q&A processing @@ -109,10 +109,10 @@ def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, u # 5. If input is clipped, add input to vector store before retrieve if input_is_clipped_flag: - yield from update_ui_lastest_msg('检测到长输入, 正在向量化 ...', chatbot, history, delay=0) # 刷新界面 + yield from update_ui_latest_msg('检测到长输入, 正在向量化 ...', chatbot, history, delay=0) # 刷新界面 # Save input to vector store rag_worker.add_text_to_vector_store(txt_origin) - yield from update_ui_lastest_msg('向量化完成 ...', chatbot, history, delay=0) # 刷新界面 + yield from update_ui_latest_msg('向量化完成 ...', chatbot, history, delay=0) # 刷新界面 if len(txt_origin) > REMEMBER_PREVIEW: HALF = REMEMBER_PREVIEW // 2 @@ -142,7 +142,7 @@ def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, u ) # 8. Remember Q&A - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( model_say + '

' + f'对话记忆中, 请稍等 ({current_context}) ...', chatbot, history, delay=0.5 ) @@ -150,4 +150,4 @@ def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, u history.extend([i_say, model_say]) # 9. Final UI Update - yield from update_ui_lastest_msg(model_say, chatbot, history, delay=0, msg=tip) \ No newline at end of file + yield from update_ui_latest_msg(model_say, chatbot, history, delay=0, msg=tip) \ No newline at end of file diff --git a/crazy_functions/Social_Helper.py b/crazy_functions/Social_Helper.py index c4aaec23..ab539016 100644 --- a/crazy_functions/Social_Helper.py +++ b/crazy_functions/Social_Helper.py @@ -1,5 +1,5 @@ import pickle, os, random -from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_lastest_msg +from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_latest_msg from crazy_functions.crazy_utils import input_clipping from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive from request_llms.bridge_all import predict_no_ui_long_connection @@ -9,7 +9,7 @@ from loguru import logger from typing import List -SOCIAL_NETWOK_WORKER_REGISTER = {} +SOCIAL_NETWORK_WORKER_REGISTER = {} class SocialNetwork(): def __init__(self): @@ -78,7 +78,7 @@ class SocialNetworkWorker(SaveAndLoad): for f in friend.friends_list: self.add_friend(f) msg = f"成功添加{len(friend.friends_list)}个联系人: {str(friend.friends_list)}" - yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=0) + yield from update_ui_latest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=0) def run(self, txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): @@ -104,12 +104,12 @@ class SocialNetworkWorker(SaveAndLoad): } try: - Explaination = '\n'.join([f'{k}: {v["explain_to_llm"]}' for k, v in self.tools_to_select.items()]) + Explanation = '\n'.join([f'{k}: {v["explain_to_llm"]}' for k, v in self.tools_to_select.items()]) class UserSociaIntention(BaseModel): intention_type: str = Field( description= f"The type of user intention. You must choose from {self.tools_to_select.keys()}.\n\n" - f"Explaination:\n{Explaination}", + f"Explanation:\n{Explanation}", default="SocialAdvice" ) pydantic_cls_instance, err_msg = select_tool( @@ -118,7 +118,7 @@ class SocialNetworkWorker(SaveAndLoad): pydantic_cls=UserSociaIntention ) except Exception as e: - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"无法理解用户意图 {err_msg}", chatbot=chatbot, history=history, @@ -150,10 +150,10 @@ def I人助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, # 1. we retrieve worker from global context user_name = chatbot.get_user() checkpoint_dir=get_log_folder(user_name, plugin_name='experimental_rag') - if user_name in SOCIAL_NETWOK_WORKER_REGISTER: - social_network_worker = SOCIAL_NETWOK_WORKER_REGISTER[user_name] + if user_name in SOCIAL_NETWORK_WORKER_REGISTER: + social_network_worker = SOCIAL_NETWORK_WORKER_REGISTER[user_name] else: - social_network_worker = SOCIAL_NETWOK_WORKER_REGISTER[user_name] = SocialNetworkWorker( + social_network_worker = SOCIAL_NETWORK_WORKER_REGISTER[user_name] = SocialNetworkWorker( user_name, llm_kwargs, checkpoint_dir=checkpoint_dir, diff --git a/crazy_functions/SourceCode_Comment.py b/crazy_functions/SourceCode_Comment.py index 9d9969ab..a49d931d 100644 --- a/crazy_functions/SourceCode_Comment.py +++ b/crazy_functions/SourceCode_Comment.py @@ -1,5 +1,5 @@ import os, copy, time -from toolbox import CatchException, report_exception, update_ui, zip_result, promote_file_to_downloadzone, update_ui_lastest_msg, get_conf, generate_file_link +from toolbox import CatchException, report_exception, update_ui, zip_result, promote_file_to_downloadzone, update_ui_latest_msg, get_conf, generate_file_link from shared_utils.fastapi_server import validate_path_safety from crazy_functions.crazy_utils import input_clipping from crazy_functions.crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency @@ -117,7 +117,7 @@ def 注释源代码(file_manifest, project_folder, llm_kwargs, plugin_kwargs, ch logger.error(f"文件: {fp} 的注释结果未能成功") file_links = generate_file_link(preview_html_list) - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( f"当前任务:
{'
'.join(tasks)}.
" + f"剩余源文件数量: {remain}.
" + f"已完成的文件: {sum(worker_done)}.
" + diff --git a/crazy_functions/VideoResource_GPT.py b/crazy_functions/VideoResource_GPT.py index d2bc3167..cf6f441d 100644 --- a/crazy_functions/VideoResource_GPT.py +++ b/crazy_functions/VideoResource_GPT.py @@ -7,7 +7,7 @@ from bs4 import BeautifulSoup from functools import lru_cache from itertools import zip_longest from check_proxy import check_proxy -from toolbox import CatchException, update_ui, get_conf, promote_file_to_downloadzone, update_ui_lastest_msg, generate_file_link +from toolbox import CatchException, update_ui, get_conf, promote_file_to_downloadzone, update_ui_latest_msg, generate_file_link from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, input_clipping from request_llms.bridge_all import model_info from request_llms.bridge_all import predict_no_ui_long_connection @@ -46,7 +46,7 @@ def download_video(bvid, user_name, chatbot, history): # pause a while tic_time = 8 for i in range(tic_time): - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"即将下载音频。等待{tic_time-i}秒后自动继续, 点击“停止”键取消此操作。", chatbot=chatbot, history=[], delay=1) @@ -61,13 +61,13 @@ def download_video(bvid, user_name, chatbot, history): # preview preview_list = [promote_file_to_downloadzone(fp) for fp in downloaded_files] file_links = generate_file_link(preview_list) - yield from update_ui_lastest_msg(f"已完成的文件:
" + file_links, chatbot=chatbot, history=history, delay=0) + yield from update_ui_latest_msg(f"已完成的文件:
" + file_links, chatbot=chatbot, history=history, delay=0) chatbot.append((None, f"即将下载视频。")) # pause a while tic_time = 16 for i in range(tic_time): - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"即将下载视频。等待{tic_time-i}秒后自动继续, 点击“停止”键取消此操作。", chatbot=chatbot, history=[], delay=1) @@ -78,7 +78,7 @@ def download_video(bvid, user_name, chatbot, history): # preview preview_list = [promote_file_to_downloadzone(fp) for fp in downloaded_files_part2] file_links = generate_file_link(preview_list) - yield from update_ui_lastest_msg(f"已完成的文件:
" + file_links, chatbot=chatbot, history=history, delay=0) + yield from update_ui_latest_msg(f"已完成的文件:
" + file_links, chatbot=chatbot, history=history, delay=0) # return return downloaded_files + downloaded_files_part2 @@ -110,7 +110,7 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro # 结构化生成 internet_search_keyword = user_wish - yield from update_ui_lastest_msg(lastmsg=f"发起互联网检索: {internet_search_keyword} ...", chatbot=chatbot, history=[], delay=1) + yield from update_ui_latest_msg(lastmsg=f"发起互联网检索: {internet_search_keyword} ...", chatbot=chatbot, history=[], delay=1) from crazy_functions.Internet_GPT import internet_search_with_analysis_prompt result = yield from internet_search_with_analysis_prompt( prompt=internet_search_keyword, @@ -119,7 +119,7 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro chatbot=chatbot ) - yield from update_ui_lastest_msg(lastmsg=f"互联网检索结论: {result} \n\n 正在生成进一步检索方案 ...", chatbot=chatbot, history=[], delay=1) + yield from update_ui_latest_msg(lastmsg=f"互联网检索结论: {result} \n\n 正在生成进一步检索方案 ...", chatbot=chatbot, history=[], delay=1) rf_req = dedent(f""" The user wish to get the following resource: {user_wish} @@ -132,7 +132,7 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro rf_req = dedent(f""" The user wish to get the following resource: {user_wish} - Generate reseach keywords (less than 5 keywords) accordingly. + Generate research keywords (less than 5 keywords) accordingly. """) gpt_json_io = GptJsonIO(Query) inputs = rf_req + gpt_json_io.format_instructions @@ -146,12 +146,12 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 获取候选资源 - candadate_dictionary: dict = get_video_resource(video_engine_keywords) - candadate_dictionary_as_str = json.dumps(candadate_dictionary, ensure_ascii=False, indent=4) + candidate_dictionary: dict = get_video_resource(video_engine_keywords) + candidate_dictionary_as_str = json.dumps(candidate_dictionary, ensure_ascii=False, indent=4) # 展示候选资源 - candadate_display = "\n".join([f"{i+1}. {it['title']}" for i, it in enumerate(candadate_dictionary)]) - chatbot.append((None, f"候选:\n\n{candadate_display}")) + candidate_display = "\n".join([f"{i+1}. {it['title']}" for i, it in enumerate(candidate_dictionary)]) + chatbot.append((None, f"候选:\n\n{candidate_display}")) yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 结构化生成 @@ -160,7 +160,7 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro {user_wish} Select the most relevant and suitable video resource from the following search results: - {candadate_dictionary_as_str} + {candidate_dictionary_as_str} Note: 1. The first several search video results are more likely to satisfy the user's wish. diff --git a/crazy_functions/agent_fns/auto_agent.py b/crazy_functions/agent_fns/auto_agent.py index 4f8fda9d..891bc26d 100644 --- a/crazy_functions/agent_fns/auto_agent.py +++ b/crazy_functions/agent_fns/auto_agent.py @@ -1,5 +1,5 @@ from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, ProxyNetworkActivate -from toolbox import report_exception, get_log_folder, update_ui_lastest_msg, Singleton +from toolbox import report_exception, get_log_folder, update_ui_latest_msg, Singleton from crazy_functions.agent_fns.pipe import PluginMultiprocessManager, PipeCom from crazy_functions.agent_fns.general import AutoGenGeneral diff --git a/crazy_functions/agent_fns/echo_agent.py b/crazy_functions/agent_fns/echo_agent.py index 1c691cb7..ce42f72d 100644 --- a/crazy_functions/agent_fns/echo_agent.py +++ b/crazy_functions/agent_fns/echo_agent.py @@ -8,7 +8,7 @@ class EchoDemo(PluginMultiprocessManager): while True: msg = self.child_conn.recv() # PipeCom if msg.cmd == "user_input": - # wait futher user input + # wait father user input self.child_conn.send(PipeCom("show", msg.content)) wait_success = self.subprocess_worker_wait_user_feedback(wait_msg="我准备好处理下一个问题了.") if not wait_success: diff --git a/crazy_functions/agent_fns/general.py b/crazy_functions/agent_fns/general.py index 327a613b..e9f4f0b8 100644 --- a/crazy_functions/agent_fns/general.py +++ b/crazy_functions/agent_fns/general.py @@ -27,7 +27,7 @@ def gpt_academic_generate_oai_reply( llm_kwargs=llm_config, history=history, sys_prompt=self._oai_system_message[0]['content'], - console_slience=True + console_silence=True ) assumed_done = reply.endswith('\nTERMINATE') return True, reply diff --git a/crazy_functions/agent_fns/python_comment_agent.py b/crazy_functions/agent_fns/python_comment_agent.py index 9f19b17e..2afa49e9 100644 --- a/crazy_functions/agent_fns/python_comment_agent.py +++ b/crazy_functions/agent_fns/python_comment_agent.py @@ -10,7 +10,7 @@ from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_ # TODO: 解决缩进问题 find_function_end_prompt = ''' -Below is a page of code that you need to read. This page may not yet complete, you job is to split this page to sperate functions, class functions etc. +Below is a page of code that you need to read. This page may not yet complete, you job is to split this page to separate functions, class functions etc. - Provide the line number where the first visible function ends. - Provide the line number where the next visible function begins. - If there are no other functions in this page, you should simply return the line number of the last line. @@ -59,7 +59,7 @@ OUTPUT: -revise_funtion_prompt = ''' +revise_function_prompt = ''' You need to read the following code, and revise the source code ({FILE_BASENAME}) according to following instructions: 1. You should analyze the purpose of the functions (if there are any). 2. You need to add docstring for the provided functions (if there are any). @@ -117,7 +117,7 @@ def zip_result(folder): ''' -revise_funtion_prompt_chinese = ''' +revise_function_prompt_chinese = ''' 您需要阅读以下代码，并根据以下说明修订源代码({FILE_BASENAME}): 1. 如果源代码中包含函数的话, 你应该分析给定函数实现了什么功能 2. 如果源代码中包含函数的话, 你需要为函数添加docstring, docstring必须使用中文 @@ -188,9 +188,9 @@ class PythonCodeComment(): self.language = language self.observe_window_update = observe_window_update if self.language == "chinese": - self.core_prompt = revise_funtion_prompt_chinese + self.core_prompt = revise_function_prompt_chinese else: - self.core_prompt = revise_funtion_prompt + self.core_prompt = revise_function_prompt self.path = None self.file_basename = None self.file_brief = "" @@ -222,7 +222,7 @@ class PythonCodeComment(): history=[], sys_prompt="", observe_window=[], - console_slience=True + console_silence=True ) def extract_number(text): @@ -316,7 +316,7 @@ class PythonCodeComment(): def tag_code(self, fn, hint): code = fn _, n_indent = self.dedent(code) - indent_reminder = "" if n_indent == 0 else "(Reminder: as you can see, this piece of code has indent made up with {n_indent} whitespace, please preseve them in the OUTPUT.)" + indent_reminder = "" if n_indent == 0 else "(Reminder: as you can see, this piece of code has indent made up with {n_indent} whitespace, please preserve them in the OUTPUT.)" brief_reminder = "" if self.file_brief == "" else f"({self.file_basename} abstract: {self.file_brief})" hint_reminder = "" if hint is None else f"(Reminder: do not ignore or modify code such as `{hint}`, provide complete code in the OUTPUT.)" self.llm_kwargs['temperature'] = 0 @@ -333,7 +333,7 @@ class PythonCodeComment(): history=[], sys_prompt="", observe_window=[], - console_slience=True + console_silence=True ) def get_code_block(reply): @@ -400,7 +400,7 @@ class PythonCodeComment(): return revised def begin_comment_source_code(self, chatbot=None, history=None): - # from toolbox import update_ui_lastest_msg + # from toolbox import update_ui_latest_msg assert self.path is not None assert '.py' in self.path # must be python source code # write_target = self.path + '.revised.py' @@ -409,10 +409,10 @@ class PythonCodeComment(): # with open(self.path + '.revised.py', 'w+', encoding='utf8') as f: while True: try: - # yield from update_ui_lastest_msg(f"({self.file_basename}) 正在读取下一段代码片段:\n", chatbot=chatbot, history=history, delay=0) + # yield from update_ui_latest_msg(f"({self.file_basename}) 正在读取下一段代码片段:\n", chatbot=chatbot, history=history, delay=0) next_batch, line_no_start, line_no_end = self.get_next_batch() self.observe_window_update(f"正在处理{self.file_basename} - {line_no_start}/{len(self.full_context)}\n") - # yield from update_ui_lastest_msg(f"({self.file_basename}) 处理代码片段:\n\n{next_batch}", chatbot=chatbot, history=history, delay=0) + # yield from update_ui_latest_msg(f"({self.file_basename}) 处理代码片段:\n\n{next_batch}", chatbot=chatbot, history=history, delay=0) hint = None MAX_ATTEMPT = 2 diff --git a/crazy_functions/crazy_utils.py b/crazy_functions/crazy_utils.py index 5c8776ac..5828fcf7 100644 --- a/crazy_functions/crazy_utils.py +++ b/crazy_functions/crazy_utils.py @@ -1,7 +1,7 @@ import os import threading from loguru import logger -from shared_utils.char_visual_effect import scolling_visual_effect +from shared_utils.char_visual_effect import scrolling_visual_effect from toolbox import update_ui, get_conf, trimmed_format_exc, get_max_token, Singleton def input_clipping(inputs, history, max_token_limit, return_clip_flags=False): @@ -256,7 +256,7 @@ def request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency( # 【第一种情况】：顺利完成 gpt_say = predict_no_ui_long_connection( inputs=inputs, llm_kwargs=llm_kwargs, history=history, - sys_prompt=sys_prompt, observe_window=mutable[index], console_slience=True + sys_prompt=sys_prompt, observe_window=mutable[index], console_silence=True ) mutable[index][2] = "已成功" return gpt_say @@ -326,7 +326,7 @@ def request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency( mutable[thread_index][1] = time.time() # 在前端打印些好玩的东西 for thread_index, _ in enumerate(worker_done): - print_something_really_funny = f"[ ...`{scolling_visual_effect(mutable[thread_index][0], scroller_max_len)}`... ]" + print_something_really_funny = f"[ ...`{scrolling_visual_effect(mutable[thread_index][0], scroller_max_len)}`... ]" observe_win.append(print_something_really_funny) # 在前端打印些好玩的东西 stat_str = ''.join([f'`{mutable[thread_index][2]}`: {obs}\n\n' @@ -389,11 +389,11 @@ def read_and_clean_pdf_text(fp): """ 提取文本块主字体 """ - fsize_statiscs = {} + fsize_statistics = {} for wtf in l['spans']: - if wtf['size'] not in fsize_statiscs: fsize_statiscs[wtf['size']] = 0 - fsize_statiscs[wtf['size']] += len(wtf['text']) - return max(fsize_statiscs, key=fsize_statiscs.get) + if wtf['size'] not in fsize_statistics: fsize_statistics[wtf['size']] = 0 + fsize_statistics[wtf['size']] += len(wtf['text']) + return max(fsize_statistics, key=fsize_statistics.get) def ffsize_same(a,b): """ @@ -433,11 +433,11 @@ def read_and_clean_pdf_text(fp): ############################## <第 2 步，获取正文主字体> ################################## try: - fsize_statiscs = {} + fsize_statistics = {} for span in meta_span: - if span[1] not in fsize_statiscs: fsize_statiscs[span[1]] = 0 - fsize_statiscs[span[1]] += span[2] - main_fsize = max(fsize_statiscs, key=fsize_statiscs.get) + if span[1] not in fsize_statistics: fsize_statistics[span[1]] = 0 + fsize_statistics[span[1]] += span[2] + main_fsize = max(fsize_statistics, key=fsize_statistics.get) if REMOVE_FOOT_NOTE: give_up_fize_threshold = main_fsize * REMOVE_FOOT_FFSIZE_PERCENT except: @@ -610,9 +610,9 @@ class nougat_interface(): def NOUGAT_parse_pdf(self, fp, chatbot, history): - from toolbox import update_ui_lastest_msg + from toolbox import update_ui_latest_msg - yield from update_ui_lastest_msg("正在解析论文, 请稍候。进度：正在排队, 等待线程锁...", + yield from update_ui_latest_msg("正在解析论文, 请稍候。进度：正在排队, 等待线程锁...", chatbot=chatbot, history=history, delay=0) self.threadLock.acquire() import glob, threading, os @@ -620,7 +620,7 @@ class nougat_interface(): dst = os.path.join(get_log_folder(plugin_name='nougat'), gen_time_str()) os.makedirs(dst) - yield from update_ui_lastest_msg("正在解析论文, 请稍候。进度：正在加载NOUGAT... （提示：首次运行需要花费较长时间下载NOUGAT参数）", + yield from update_ui_latest_msg("正在解析论文, 请稍候。进度：正在加载NOUGAT... （提示：首次运行需要花费较长时间下载NOUGAT参数）", chatbot=chatbot, history=history, delay=0) command = ['nougat', '--out', os.path.abspath(dst), os.path.abspath(fp)] self.nougat_with_timeout(command, cwd=os.getcwd(), timeout=3600) diff --git a/crazy_functions/game_fns/game_ascii_art.py b/crazy_functions/game_fns/game_ascii_art.py index 39d88e14..4ca63d94 100644 --- a/crazy_functions/game_fns/game_ascii_art.py +++ b/crazy_functions/game_fns/game_ascii_art.py @@ -1,4 +1,4 @@ -from toolbox import CatchException, update_ui, update_ui_lastest_msg +from toolbox import CatchException, update_ui, update_ui_latest_msg from crazy_functions.multi_stage.multi_stage_utils import GptAcademicGameBaseState from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive from request_llms.bridge_all import predict_no_ui_long_connection @@ -13,7 +13,7 @@ class MiniGame_ASCII_Art(GptAcademicGameBaseState): else: if prompt.strip() == 'exit': self.delete_game = True - yield from update_ui_lastest_msg(lastmsg=f"谜底是{self.obj}，游戏结束。", chatbot=chatbot, history=history, delay=0.) + yield from update_ui_latest_msg(lastmsg=f"谜底是{self.obj}，游戏结束。", chatbot=chatbot, history=history, delay=0.) return chatbot.append([prompt, ""]) yield from update_ui(chatbot=chatbot, history=history) @@ -31,12 +31,12 @@ class MiniGame_ASCII_Art(GptAcademicGameBaseState): self.cur_task = 'identify user guess' res = get_code_block(raw_res) history += ['', f'the answer is {self.obj}', inputs, res] - yield from update_ui_lastest_msg(lastmsg=res, chatbot=chatbot, history=history, delay=0.) + yield from update_ui_latest_msg(lastmsg=res, chatbot=chatbot, history=history, delay=0.) elif self.cur_task == 'identify user guess': if is_same_thing(self.obj, prompt, self.llm_kwargs): self.delete_game = True - yield from update_ui_lastest_msg(lastmsg="你猜对了！", chatbot=chatbot, history=history, delay=0.) + yield from update_ui_latest_msg(lastmsg="你猜对了！", chatbot=chatbot, history=history, delay=0.) else: self.cur_task = 'identify user guess' - yield from update_ui_lastest_msg(lastmsg="猜错了，再试试，输入“exit”获取答案。", chatbot=chatbot, history=history, delay=0.) \ No newline at end of file + yield from update_ui_latest_msg(lastmsg="猜错了，再试试，输入“exit”获取答案。", chatbot=chatbot, history=history, delay=0.) \ No newline at end of file diff --git a/crazy_functions/game_fns/game_interactive_story.py b/crazy_functions/game_fns/game_interactive_story.py index 759197dd..3a131855 100644 --- a/crazy_functions/game_fns/game_interactive_story.py +++ b/crazy_functions/game_fns/game_interactive_story.py @@ -63,7 +63,7 @@ prompts_terminate = """小说的前文回顾： """ -from toolbox import CatchException, update_ui, update_ui_lastest_msg +from toolbox import CatchException, update_ui, update_ui_latest_msg from crazy_functions.multi_stage.multi_stage_utils import GptAcademicGameBaseState from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive from request_llms.bridge_all import predict_no_ui_long_connection @@ -112,7 +112,7 @@ class MiniGame_ResumeStory(GptAcademicGameBaseState): if prompt.strip() == 'exit' or prompt.strip() == '结束剧情': # should we terminate game here? self.delete_game = True - yield from update_ui_lastest_msg(lastmsg=f"游戏结束。", chatbot=chatbot, history=history, delay=0.) + yield from update_ui_latest_msg(lastmsg=f"游戏结束。", chatbot=chatbot, history=history, delay=0.) return if '剧情收尾' in prompt: self.cur_task = 'story_terminate' @@ -137,8 +137,8 @@ class MiniGame_ResumeStory(GptAcademicGameBaseState): ) self.story.append(story_paragraph) # # 配图 - yield from update_ui_lastest_msg(lastmsg=story_paragraph + '
正在生成插图中 ...', chatbot=chatbot, history=history, delay=0.) - yield from update_ui_lastest_msg(lastmsg=story_paragraph + '
'+ self.generate_story_image(story_paragraph), chatbot=chatbot, history=history, delay=0.) + yield from update_ui_latest_msg(lastmsg=story_paragraph + '
正在生成插图中 ...', chatbot=chatbot, history=history, delay=0.) + yield from update_ui_latest_msg(lastmsg=story_paragraph + '
'+ self.generate_story_image(story_paragraph), chatbot=chatbot, history=history, delay=0.) # # 构建后续剧情引导 previously_on_story = "" @@ -171,8 +171,8 @@ class MiniGame_ResumeStory(GptAcademicGameBaseState): ) self.story.append(story_paragraph) # # 配图 - yield from update_ui_lastest_msg(lastmsg=story_paragraph + '
正在生成插图中 ...', chatbot=chatbot, history=history, delay=0.) - yield from update_ui_lastest_msg(lastmsg=story_paragraph + '
'+ self.generate_story_image(story_paragraph), chatbot=chatbot, history=history, delay=0.) + yield from update_ui_latest_msg(lastmsg=story_paragraph + '
正在生成插图中 ...', chatbot=chatbot, history=history, delay=0.) + yield from update_ui_latest_msg(lastmsg=story_paragraph + '
'+ self.generate_story_image(story_paragraph), chatbot=chatbot, history=history, delay=0.) # # 构建后续剧情引导 previously_on_story = "" @@ -204,8 +204,8 @@ class MiniGame_ResumeStory(GptAcademicGameBaseState): chatbot, history_, self.sys_prompt_ ) # # 配图 - yield from update_ui_lastest_msg(lastmsg=story_paragraph + '
正在生成插图中 ...', chatbot=chatbot, history=history, delay=0.) - yield from update_ui_lastest_msg(lastmsg=story_paragraph + '
'+ self.generate_story_image(story_paragraph), chatbot=chatbot, history=history, delay=0.) + yield from update_ui_latest_msg(lastmsg=story_paragraph + '
正在生成插图中 ...', chatbot=chatbot, history=history, delay=0.) + yield from update_ui_latest_msg(lastmsg=story_paragraph + '
'+ self.generate_story_image(story_paragraph), chatbot=chatbot, history=history, delay=0.) # terminate game self.delete_game = True diff --git a/crazy_functions/gen_fns/gen_fns_shared.py b/crazy_functions/gen_fns/gen_fns_shared.py index f451c2cf..756ed59f 100644 --- a/crazy_functions/gen_fns/gen_fns_shared.py +++ b/crazy_functions/gen_fns/gen_fns_shared.py @@ -2,7 +2,7 @@ import time import importlib from toolbox import trimmed_format_exc, gen_time_str, get_log_folder from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, is_the_upload_folder -from toolbox import promote_file_to_downloadzone, get_log_folder, update_ui_lastest_msg +from toolbox import promote_file_to_downloadzone, get_log_folder, update_ui_latest_msg import multiprocessing def get_class_name(class_string): diff --git a/crazy_functions/json_fns/pydantic_io.py b/crazy_functions/json_fns/pydantic_io.py index bd78cefe..89126a17 100644 --- a/crazy_functions/json_fns/pydantic_io.py +++ b/crazy_functions/json_fns/pydantic_io.py @@ -102,10 +102,10 @@ class GptJsonIO(): logging.info(f'Repairing json：{response}') repair_prompt = self.generate_repair_prompt(broken_json = response, error=repr(e)) result = self.generate_output(gpt_gen_fn(repair_prompt, self.format_instructions)) - logging.info('Repaire json success.') + logging.info('Repair json success.') except Exception as e: # 没辙了，放弃治疗 - logging.info('Repaire json fail.') + logging.info('Repair json fail.') raise JsonStringError('Cannot repair json.', str(e)) return result diff --git a/crazy_functions/latex_fns/latex_actions.py b/crazy_functions/latex_fns/latex_actions.py index 8ee420df..45261dd0 100644 --- a/crazy_functions/latex_fns/latex_actions.py +++ b/crazy_functions/latex_fns/latex_actions.py @@ -3,7 +3,7 @@ import re import shutil import numpy as np from loguru import logger -from toolbox import update_ui, update_ui_lastest_msg, get_log_folder, gen_time_str +from toolbox import update_ui, update_ui_latest_msg, get_log_folder, gen_time_str from toolbox import get_conf, promote_file_to_downloadzone from crazy_functions.latex_fns.latex_toolbox import PRESERVE, TRANSFORM from crazy_functions.latex_fns.latex_toolbox import set_forbidden_text, set_forbidden_text_begin_end, set_forbidden_text_careful_brace @@ -20,7 +20,7 @@ def split_subprocess(txt, project_folder, return_dict, opts): """ break down latex file to a linked list, each node use a preserve flag to indicate whether it should - be proccessed by GPT. + be processed by GPT. """ text = txt mask = np.zeros(len(txt), dtype=np.uint8) + TRANSFORM @@ -85,14 +85,14 @@ class LatexPaperSplit(): """ break down latex file to a linked list, each node use a preserve flag to indicate whether it should - be proccessed by GPT. + be processed by GPT. """ def __init__(self) -> None: self.nodes = None self.msg = "*{\\scriptsize\\textbf{警告：该PDF由GPT-Academic开源项目调用大语言模型+Latex翻译插件一键生成，" + \ "版权归原文作者所有。翻译内容可靠性无保障，请仔细鉴别并以原文为准。" + \ "项目Github地址 \\url{https://github.com/binary-husky/gpt_academic/}。" - # 请您不要删除或修改这行警告，除非您是论文的原作者（如果您是论文原作者，欢迎加REAME中的QQ联系开发者） + # 请您不要删除或修改这行警告，除非您是论文的原作者（如果您是论文原作者，欢迎加README中的QQ联系开发者） self.msg_declare = "为了防止大语言模型的意外谬误产生扩散影响，禁止移除或修改此警告。}}\\\\" self.title = "unknown" self.abstract = "unknown" @@ -151,7 +151,7 @@ class LatexPaperSplit(): """ break down latex file to a linked list, each node use a preserve flag to indicate whether it should - be proccessed by GPT. + be processed by GPT. P.S. use multiprocessing to avoid timeout error """ import multiprocessing @@ -351,7 +351,7 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f max_try = 32 chatbot.append([f"正在编译PDF文档", f'编译已经开始。当前工作路径为{work_folder}，如果程序停顿5分钟以上，请直接去该路径下取回翻译结果，或者重启之后再度尝试 ...']); yield from update_ui(chatbot=chatbot, history=history) chatbot.append([f"正在编译PDF文档", '...']); yield from update_ui(chatbot=chatbot, history=history); time.sleep(1); chatbot[-1] = list(chatbot[-1]) # 刷新界面 - yield from update_ui_lastest_msg('编译已经开始...', chatbot, history) # 刷新Gradio前端界面 + yield from update_ui_latest_msg('编译已经开始...', chatbot, history) # 刷新Gradio前端界面 # 检查是否需要使用xelatex def check_if_need_xelatex(tex_path): try: @@ -396,32 +396,32 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f shutil.copyfile(may_exist_bbl, target_bbl) # https://stackoverflow.com/questions/738755/dont-make-me-manually-abort-a-latex-compile-when-theres-an-error - yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译原始PDF ...', chatbot, history) # 刷新Gradio前端界面 + yield from update_ui_latest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译原始PDF ...', chatbot, history) # 刷新Gradio前端界面 ok = compile_latex_with_timeout(get_compile_command(compiler, main_file_original), work_folder_original) - yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译转化后的PDF ...', chatbot, history) # 刷新Gradio前端界面 + yield from update_ui_latest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译转化后的PDF ...', chatbot, history) # 刷新Gradio前端界面 ok = compile_latex_with_timeout(get_compile_command(compiler, main_file_modified), work_folder_modified) if ok and os.path.exists(pj(work_folder_modified, f'{main_file_modified}.pdf')): # 只有第二步成功，才能继续下面的步骤 - yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译BibTex ...', chatbot, history) # 刷新Gradio前端界面 + yield from update_ui_latest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译BibTex ...', chatbot, history) # 刷新Gradio前端界面 if not os.path.exists(pj(work_folder_original, f'{main_file_original}.bbl')): ok = compile_latex_with_timeout(f'bibtex {main_file_original}.aux', work_folder_original) if not os.path.exists(pj(work_folder_modified, f'{main_file_modified}.bbl')): ok = compile_latex_with_timeout(f'bibtex {main_file_modified}.aux', work_folder_modified) - yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译文献交叉引用 ...', chatbot, history) # 刷新Gradio前端界面 + yield from update_ui_latest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译文献交叉引用 ...', chatbot, history) # 刷新Gradio前端界面 ok = compile_latex_with_timeout(get_compile_command(compiler, main_file_original), work_folder_original) ok = compile_latex_with_timeout(get_compile_command(compiler, main_file_modified), work_folder_modified) ok = compile_latex_with_timeout(get_compile_command(compiler, main_file_original), work_folder_original) ok = compile_latex_with_timeout(get_compile_command(compiler, main_file_modified), work_folder_modified) if mode!='translate_zh': - yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 使用latexdiff生成论文转化前后对比 ...', chatbot, history) # 刷新Gradio前端界面 + yield from update_ui_latest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 使用latexdiff生成论文转化前后对比 ...', chatbot, history) # 刷新Gradio前端界面 logger.info( f'latexdiff --encoding=utf8 --append-safecmd=subfile {work_folder_original}/{main_file_original}.tex {work_folder_modified}/{main_file_modified}.tex --flatten > {work_folder}/merge_diff.tex') ok = compile_latex_with_timeout(f'latexdiff --encoding=utf8 --append-safecmd=subfile {work_folder_original}/{main_file_original}.tex {work_folder_modified}/{main_file_modified}.tex --flatten > {work_folder}/merge_diff.tex', os.getcwd()) - yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 正在编译对比PDF ...', chatbot, history) # 刷新Gradio前端界面 + yield from update_ui_latest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 正在编译对比PDF ...', chatbot, history) # 刷新Gradio前端界面 ok = compile_latex_with_timeout(get_compile_command(compiler, 'merge_diff'), work_folder) ok = compile_latex_with_timeout(f'bibtex merge_diff.aux', work_folder) ok = compile_latex_with_timeout(get_compile_command(compiler, 'merge_diff'), work_folder) @@ -435,13 +435,13 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f results_ += f"原始PDF编译是否成功: {original_pdf_success};" results_ += f"转化PDF编译是否成功: {modified_pdf_success};" results_ += f"对比PDF编译是否成功: {diff_pdf_success};" - yield from update_ui_lastest_msg(f'第{n_fix}编译结束:
{results_}...', chatbot, history) # 刷新Gradio前端界面 + yield from update_ui_latest_msg(f'第{n_fix}编译结束:
{results_}...', chatbot, history) # 刷新Gradio前端界面 if diff_pdf_success: result_pdf = pj(work_folder_modified, f'merge_diff.pdf') # get pdf path promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot) # promote file to web UI if modified_pdf_success: - yield from update_ui_lastest_msg(f'转化PDF编译已经成功, 正在尝试生成对比PDF, 请稍候 ...', chatbot, history) # 刷新Gradio前端界面 + yield from update_ui_latest_msg(f'转化PDF编译已经成功, 正在尝试生成对比PDF, 请稍候 ...', chatbot, history) # 刷新Gradio前端界面 result_pdf = pj(work_folder_modified, f'{main_file_modified}.pdf') # get pdf path origin_pdf = pj(work_folder_original, f'{main_file_original}.pdf') # get pdf path if os.path.exists(pj(work_folder, '..', 'translation')): @@ -472,7 +472,7 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f work_folder_modified=work_folder_modified, fixed_line=fixed_line ) - yield from update_ui_lastest_msg(f'由于最为关键的转化PDF编译失败, 将根据报错信息修正tex源文件并重试, 当前报错的latex代码处于第{buggy_lines}行 ...', chatbot, history) # 刷新Gradio前端界面 + yield from update_ui_latest_msg(f'由于最为关键的转化PDF编译失败, 将根据报错信息修正tex源文件并重试, 当前报错的latex代码处于第{buggy_lines}行 ...', chatbot, history) # 刷新Gradio前端界面 if not can_retry: break return False # 失败啦 diff --git a/crazy_functions/latex_fns/latex_toolbox.py b/crazy_functions/latex_fns/latex_toolbox.py index 3a42243a..9758bae7 100644 --- a/crazy_functions/latex_fns/latex_toolbox.py +++ b/crazy_functions/latex_fns/latex_toolbox.py @@ -168,7 +168,7 @@ def set_forbidden_text(text, mask, pattern, flags=0): def reverse_forbidden_text(text, mask, pattern, flags=0, forbid_wrapper=True): """ Move area out of preserve area (make text editable for GPT) - count the number of the braces so as to catch compelete text area. + count the number of the braces so as to catch complete text area. e.g. \begin{abstract} blablablablablabla. \end{abstract} """ @@ -188,7 +188,7 @@ def reverse_forbidden_text(text, mask, pattern, flags=0, forbid_wrapper=True): def set_forbidden_text_careful_brace(text, mask, pattern, flags=0): """ Add a preserve text area in this paper (text become untouchable for GPT). - count the number of the braces so as to catch compelete text area. + count the number of the braces so as to catch complete text area. e.g. \caption{blablablablabla\texbf{blablabla}blablabla.} """ @@ -214,7 +214,7 @@ def reverse_forbidden_text_careful_brace( ): """ Move area out of preserve area (make text editable for GPT) - count the number of the braces so as to catch compelete text area. + count the number of the braces so as to catch complete text area. e.g. \caption{blablablablabla\texbf{blablabla}blablabla.} """ @@ -287,23 +287,23 @@ def find_main_tex_file(file_manifest, mode): 在多Tex文档中，寻找主文件，必须包含documentclass，返回找到的第一个。 P.S. 但愿没人把latex模板放在里面传进来 (6.25 加入判定latex模板的代码) """ - canidates = [] + candidates = [] for texf in file_manifest: if os.path.basename(texf).startswith("merge"): continue with open(texf, "r", encoding="utf8", errors="ignore") as f: file_content = f.read() if r"\documentclass" in file_content: - canidates.append(texf) + candidates.append(texf) else: continue - if len(canidates) == 0: + if len(candidates) == 0: raise RuntimeError("无法找到一个主Tex文件（包含documentclass关键字）") - elif len(canidates) == 1: - return canidates[0] - else: # if len(canidates) >= 2 通过一些Latex模板中常见（但通常不会出现在正文）的单词，对不同latex源文件扣分，取评分最高者返回 - canidates_score = [] + elif len(candidates) == 1: + return candidates[0] + else: # if len(candidates) >= 2 通过一些Latex模板中常见（但通常不会出现在正文）的单词，对不同latex源文件扣分，取评分最高者返回 + candidates_score = [] # 给出一些判定模板文档的词作为扣分项 unexpected_words = [ "\\LaTeX", @@ -316,19 +316,19 @@ def find_main_tex_file(file_manifest, mode): "reviewers", ] expected_words = ["\\input", "\\ref", "\\cite"] - for texf in canidates: - canidates_score.append(0) + for texf in candidates: + candidates_score.append(0) with open(texf, "r", encoding="utf8", errors="ignore") as f: file_content = f.read() file_content = rm_comments(file_content) for uw in unexpected_words: if uw in file_content: - canidates_score[-1] -= 1 + candidates_score[-1] -= 1 for uw in expected_words: if uw in file_content: - canidates_score[-1] += 1 - select = np.argmax(canidates_score) # 取评分最高者返回 - return canidates[select] + candidates_score[-1] += 1 + select = np.argmax(candidates_score) # 取评分最高者返回 + return candidates[select] def rm_comments(main_file): @@ -374,7 +374,7 @@ def find_tex_file_ignore_case(fp): def merge_tex_files_(project_foler, main_file, mode): """ - Merge Tex project recrusively + Merge Tex project recursively """ main_file = rm_comments(main_file) for s in reversed([q for q in re.finditer(r"\\input\{(.*?)\}", main_file, re.M)]): @@ -429,7 +429,7 @@ def find_title_and_abs(main_file): def merge_tex_files(project_foler, main_file, mode): """ - Merge Tex project recrusively + Merge Tex project recursively P.S. 顺便把CTEX塞进去以支持中文 P.S. 顺便把Latex的注释去除 """ diff --git a/crazy_functions/media_fns/get_media.py b/crazy_functions/media_fns/get_media.py index 8c7e2dc2..beaa6cf9 100644 --- a/crazy_functions/media_fns/get_media.py +++ b/crazy_functions/media_fns/get_media.py @@ -1,4 +1,4 @@ -from toolbox import update_ui, get_conf, promote_file_to_downloadzone, update_ui_lastest_msg, generate_file_link +from toolbox import update_ui, get_conf, promote_file_to_downloadzone, update_ui_latest_msg, generate_file_link from shared_utils.docker_as_service_api import stream_daas from shared_utils.docker_as_service_api import DockerServiceApiComModel import random @@ -25,7 +25,7 @@ def download_video(video_id, only_audio, user_name, chatbot, history): status_buf += "\n\n" status_buf += "DaaS file attach: \n\n" status_buf += str(output_manifest['server_file_attach']) - yield from update_ui_lastest_msg(status_buf, chatbot, history) + yield from update_ui_latest_msg(status_buf, chatbot, history) return output_manifest['server_file_attach'] diff --git a/crazy_functions/multi_stage/multi_stage_utils.py b/crazy_functions/multi_stage/multi_stage_utils.py index 952c4844..0a8982c9 100644 --- a/crazy_functions/multi_stage/multi_stage_utils.py +++ b/crazy_functions/multi_stage/multi_stage_utils.py @@ -1,6 +1,6 @@ from pydantic import BaseModel, Field from typing import List -from toolbox import update_ui_lastest_msg, disable_auto_promotion +from toolbox import update_ui_latest_msg, disable_auto_promotion from toolbox import CatchException, update_ui, get_conf, select_api_key, get_log_folder from request_llms.bridge_all import predict_no_ui_long_connection from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError diff --git a/crazy_functions/pdf_fns/parse_pdf.py b/crazy_functions/pdf_fns/parse_pdf.py index f41b2f9b..0f27a767 100644 --- a/crazy_functions/pdf_fns/parse_pdf.py +++ b/crazy_functions/pdf_fns/parse_pdf.py @@ -113,7 +113,7 @@ def translate_pdf(article_dict, llm_kwargs, chatbot, fp, generated_conclusion_fi return [txt] else: # raw_token_num > TOKEN_LIMIT_PER_FRAGMENT - # find a smooth token limit to achieve even seperation + # find a smooth token limit to achieve even separation count = int(math.ceil(raw_token_num / TOKEN_LIMIT_PER_FRAGMENT)) token_limit_smooth = raw_token_num // count + count return breakdown_text_to_satisfy_token_limit(txt, limit=token_limit_smooth, llm_model=llm_kwargs['llm_model']) diff --git a/crazy_functions/pdf_fns/parse_pdf_grobid.py b/crazy_functions/pdf_fns/parse_pdf_grobid.py index bb42ce6b..722dfeeb 100644 --- a/crazy_functions/pdf_fns/parse_pdf_grobid.py +++ b/crazy_functions/pdf_fns/parse_pdf_grobid.py @@ -1,6 +1,6 @@ import os from toolbox import CatchException, report_exception, get_log_folder, gen_time_str, check_packages -from toolbox import update_ui, promote_file_to_downloadzone, update_ui_lastest_msg, disable_auto_promotion +from toolbox import update_ui, promote_file_to_downloadzone, update_ui_latest_msg, disable_auto_promotion from toolbox import write_history_to_file, promote_file_to_downloadzone, get_conf, extract_archive from crazy_functions.pdf_fns.parse_pdf import parse_pdf, translate_pdf diff --git a/crazy_functions/pdf_fns/parse_word.py b/crazy_functions/pdf_fns/parse_word.py index 3664a9cb..59ecb388 100644 --- a/crazy_functions/pdf_fns/parse_word.py +++ b/crazy_functions/pdf_fns/parse_word.py @@ -14,17 +14,17 @@ def extract_text_from_files(txt, chatbot, history): final_result(list):文本内容 page_one(list):第一页内容/摘要 file_manifest(list):文件路径 - excption(string):需要用户手动处理的信息,如没出错则保持为空 + exception(string):需要用户手动处理的信息,如没出错则保持为空 """ final_result = [] page_one = [] file_manifest = [] - excption = "" + exception = "" if txt == "": final_result.append(txt) - return False, final_result, page_one, file_manifest, excption #如输入区内容不是文件则直接返回输入区内容 + return False, final_result, page_one, file_manifest, exception #如输入区内容不是文件则直接返回输入区内容 #查找输入区内容中的文件 file_pdf,pdf_manifest,folder_pdf = get_files_from_everything(txt, '.pdf') @@ -33,20 +33,20 @@ def extract_text_from_files(txt, chatbot, history): file_doc,doc_manifest,folder_doc = get_files_from_everything(txt, '.doc') if file_doc: - excption = "word" - return False, final_result, page_one, file_manifest, excption + exception = "word" + return False, final_result, page_one, file_manifest, exception file_num = len(pdf_manifest) + len(md_manifest) + len(word_manifest) if file_num == 0: final_result.append(txt) - return False, final_result, page_one, file_manifest, excption #如输入区内容不是文件则直接返回输入区内容 + return False, final_result, page_one, file_manifest, exception #如输入区内容不是文件则直接返回输入区内容 if file_pdf: try: # 尝试导入依赖，如果缺少依赖，则给出安装建议 import fitz except: - excption = "pdf" - return False, final_result, page_one, file_manifest, excption + exception = "pdf" + return False, final_result, page_one, file_manifest, exception for index, fp in enumerate(pdf_manifest): file_content, pdf_one = read_and_clean_pdf_text(fp) # （尝试）按照章节切割PDF file_content = file_content.encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars @@ -72,8 +72,8 @@ def extract_text_from_files(txt, chatbot, history): try: # 尝试导入依赖，如果缺少依赖，则给出安装建议 from docx import Document except: - excption = "word_pip" - return False, final_result, page_one, file_manifest, excption + exception = "word_pip" + return False, final_result, page_one, file_manifest, exception for index, fp in enumerate(word_manifest): doc = Document(fp) file_content = '\n'.join([p.text for p in doc.paragraphs]) @@ -82,4 +82,4 @@ def extract_text_from_files(txt, chatbot, history): final_result.append(file_content) file_manifest.append(os.path.relpath(fp, folder_word)) - return True, final_result, page_one, file_manifest, excption \ No newline at end of file + return True, final_result, page_one, file_manifest, exception \ No newline at end of file diff --git a/crazy_functions/vector_fns/vector_database.py b/crazy_functions/vector_fns/vector_database.py index cd93ae92..ca496c2e 100644 --- a/crazy_functions/vector_fns/vector_database.py +++ b/crazy_functions/vector_fns/vector_database.py @@ -60,7 +60,7 @@ def similarity_search_with_score_by_vector( self, embedding: List[float], k: int = 4 ) -> List[Tuple[Document, float]]: - def seperate_list(ls: List[int]) -> List[List[int]]: + def separate_list(ls: List[int]) -> List[List[int]]: lists = [] ls1 = [ls[0]] for i in range(1, len(ls)): @@ -82,7 +82,7 @@ def similarity_search_with_score_by_vector( continue _id = self.index_to_docstore_id[i] doc = self.docstore.search(_id) - if not self.chunk_conent: + if not self.chunk_content: if not isinstance(doc, Document): raise ValueError(f"Could not find document for id {_id}, got {doc}") doc.metadata["score"] = int(scores[0][j]) @@ -104,12 +104,12 @@ def similarity_search_with_score_by_vector( id_set.add(l) if break_flag: break - if not self.chunk_conent: + if not self.chunk_content: return docs if len(id_set) == 0 and self.score_threshold > 0: return [] id_list = sorted(list(id_set)) - id_lists = seperate_list(id_list) + id_lists = separate_list(id_list) for id_seq in id_lists: for id in id_seq: if id == id_seq[0]: @@ -132,7 +132,7 @@ class LocalDocQA: embeddings: object = None top_k: int = VECTOR_SEARCH_TOP_K chunk_size: int = CHUNK_SIZE - chunk_conent: bool = True + chunk_content: bool = True score_threshold: int = VECTOR_SEARCH_SCORE_THRESHOLD def init_cfg(self, @@ -209,16 +209,16 @@ class LocalDocQA: # query 查询内容 # vs_path 知识库路径 - # chunk_conent 是否启用上下文关联 + # chunk_content 是否启用上下文关联 # score_threshold 搜索匹配score阈值 # vector_search_top_k 搜索知识库内容条数，默认搜索5条结果 # chunk_sizes 匹配单段内容的连接上下文长度 - def get_knowledge_based_conent_test(self, query, vs_path, chunk_conent, + def get_knowledge_based_content_test(self, query, vs_path, chunk_content, score_threshold=VECTOR_SEARCH_SCORE_THRESHOLD, vector_search_top_k=VECTOR_SEARCH_TOP_K, chunk_size=CHUNK_SIZE, text2vec=None): self.vector_store = FAISS.load_local(vs_path, text2vec) - self.vector_store.chunk_conent = chunk_conent + self.vector_store.chunk_content = chunk_content self.vector_store.score_threshold = score_threshold self.vector_store.chunk_size = chunk_size @@ -241,7 +241,7 @@ class LocalDocQA: -def construct_vector_store(vs_id, vs_path, files, sentence_size, history, one_conent, one_content_segmentation, text2vec): +def construct_vector_store(vs_id, vs_path, files, sentence_size, history, one_content, one_content_segmentation, text2vec): for file in files: assert os.path.exists(file), "输入文件不存在：" + file import nltk @@ -297,7 +297,7 @@ class knowledge_archive_interface(): files=file_manifest, sentence_size=100, history=[], - one_conent="", + one_content="", one_content_segmentation="", text2vec = self.get_chinese_text2vec(), ) @@ -319,19 +319,19 @@ class knowledge_archive_interface(): files=[], sentence_size=100, history=[], - one_conent="", + one_content="", one_content_segmentation="", text2vec = self.get_chinese_text2vec(), ) VECTOR_SEARCH_SCORE_THRESHOLD = 0 VECTOR_SEARCH_TOP_K = 4 CHUNK_SIZE = 512 - resp, prompt = self.qa_handle.get_knowledge_based_conent_test( + resp, prompt = self.qa_handle.get_knowledge_based_content_test( query = txt, vs_path = self.kai_path, score_threshold=VECTOR_SEARCH_SCORE_THRESHOLD, vector_search_top_k=VECTOR_SEARCH_TOP_K, - chunk_conent=True, + chunk_content=True, chunk_size=CHUNK_SIZE, text2vec = self.get_chinese_text2vec(), ) diff --git a/crazy_functions/vt_fns/vt_call_plugin.py b/crazy_functions/vt_fns/vt_call_plugin.py index 48da299b..0ec1c07b 100644 --- a/crazy_functions/vt_fns/vt_call_plugin.py +++ b/crazy_functions/vt_fns/vt_call_plugin.py @@ -1,6 +1,6 @@ from pydantic import BaseModel, Field from typing import List -from toolbox import update_ui_lastest_msg, disable_auto_promotion +from toolbox import update_ui_latest_msg, disable_auto_promotion from request_llms.bridge_all import predict_no_ui_long_connection from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError import copy, json, pickle, os, sys, time @@ -9,14 +9,14 @@ import copy, json, pickle, os, sys, time def read_avail_plugin_enum(): from crazy_functional import get_crazy_functions plugin_arr = get_crazy_functions() - # remove plugins with out explaination + # remove plugins with out explanation plugin_arr = {k:v for k, v in plugin_arr.items() if ('Info' in v) and ('Function' in v)} plugin_arr_info = {"F_{:04d}".format(i):v["Info"] for i, v in enumerate(plugin_arr.values(), start=1)} plugin_arr_dict = {"F_{:04d}".format(i):v for i, v in enumerate(plugin_arr.values(), start=1)} plugin_arr_dict_parse = {"F_{:04d}".format(i):v for i, v in enumerate(plugin_arr.values(), start=1)} plugin_arr_dict_parse.update({f"F_{i}":v for i, v in enumerate(plugin_arr.values(), start=1)}) prompt = json.dumps(plugin_arr_info, ensure_ascii=False, indent=2) - prompt = "\n\nThe defination of PluginEnum:\nPluginEnum=" + prompt + prompt = "\n\nThe definition of PluginEnum:\nPluginEnum=" + prompt return prompt, plugin_arr_dict, plugin_arr_dict_parse def wrap_code(txt): @@ -55,7 +55,7 @@ def execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom plugin_selection: str = Field(description="The most related plugin from one of the PluginEnum.", default="F_0000") reason_of_selection: str = Field(description="The reason why you should select this plugin.", default="This plugin satisfy user requirement most") # ⭐ ⭐ ⭐ 选择插件 - yield from update_ui_lastest_msg(lastmsg=f"正在执行任务: {txt}\n\n查找可用插件中...", chatbot=chatbot, history=history, delay=0) + yield from update_ui_latest_msg(lastmsg=f"正在执行任务: {txt}\n\n查找可用插件中...", chatbot=chatbot, history=history, delay=0) gpt_json_io = GptJsonIO(Plugin) gpt_json_io.format_instructions = "The format of your output should be a json that can be parsed by json.loads.\n" gpt_json_io.format_instructions += """Output example: {"plugin_selection":"F_1234", "reason_of_selection":"F_1234 plugin satisfy user requirement most"}\n""" @@ -74,13 +74,13 @@ def execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom msg += "请求的Prompt为：\n" + wrap_code(get_inputs_show_user(inputs, plugin_arr_enum_prompt)) msg += "语言模型回复为：\n" + wrap_code(gpt_reply) msg += "\n但您可以尝试再试一次\n" - yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2) + yield from update_ui_latest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2) return if plugin_sel.plugin_selection not in plugin_arr_dict_parse: msg = f"抱歉, 找不到合适插件执行该任务, 或者{llm_kwargs['llm_model']}无法理解您的需求。" msg += f"语言模型{llm_kwargs['llm_model']}选择了不存在的插件：\n" + wrap_code(gpt_reply) msg += "\n但您可以尝试再试一次\n" - yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2) + yield from update_ui_latest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2) return # ⭐ ⭐ ⭐ 确认插件参数 @@ -90,7 +90,7 @@ def execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom appendix_info = get_recent_file_prompt_support(chatbot) plugin = plugin_arr_dict_parse[plugin_sel.plugin_selection] - yield from update_ui_lastest_msg(lastmsg=f"正在执行任务: {txt}\n\n提取插件参数...", chatbot=chatbot, history=history, delay=0) + yield from update_ui_latest_msg(lastmsg=f"正在执行任务: {txt}\n\n提取插件参数...", chatbot=chatbot, history=history, delay=0) class PluginExplicit(BaseModel): plugin_selection: str = plugin_sel.plugin_selection plugin_arg: str = Field(description="The argument of the plugin.", default="") @@ -109,6 +109,6 @@ def execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom fn = plugin['Function'] fn_name = fn.__name__ msg = f'{llm_kwargs["llm_model"]}为您选择了插件: `{fn_name}`\n\n插件说明：{plugin["Info"]}\n\n插件参数：{plugin_sel.plugin_arg}\n\n假如偏离了您的要求，按停止键终止。' - yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2) + yield from update_ui_latest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2) yield from fn(plugin_sel.plugin_arg, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, -1) return \ No newline at end of file diff --git a/crazy_functions/vt_fns/vt_modify_config.py b/crazy_functions/vt_fns/vt_modify_config.py index 11fa8b18..86657f33 100644 --- a/crazy_functions/vt_fns/vt_modify_config.py +++ b/crazy_functions/vt_fns/vt_modify_config.py @@ -1,6 +1,6 @@ from pydantic import BaseModel, Field from typing import List -from toolbox import update_ui_lastest_msg, get_conf +from toolbox import update_ui_latest_msg, get_conf from request_llms.bridge_all import predict_no_ui_long_connection from crazy_functions.json_fns.pydantic_io import GptJsonIO import copy, json, pickle, os, sys @@ -9,7 +9,7 @@ import copy, json, pickle, os, sys def modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention): ALLOW_RESET_CONFIG = get_conf('ALLOW_RESET_CONFIG') if not ALLOW_RESET_CONFIG: - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"当前配置不允许被修改！如需激活本功能，请在config.py中设置ALLOW_RESET_CONFIG=True后重启软件。", chatbot=chatbot, history=history, delay=2 ) @@ -30,7 +30,7 @@ def modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, s new_option_value: str = Field(description="the new value of the option", default=None) # ⭐ ⭐ ⭐ 分析用户意图 - yield from update_ui_lastest_msg(lastmsg=f"正在执行任务: {txt}\n\n读取新配置中", chatbot=chatbot, history=history, delay=0) + yield from update_ui_latest_msg(lastmsg=f"正在执行任务: {txt}\n\n读取新配置中", chatbot=chatbot, history=history, delay=0) gpt_json_io = GptJsonIO(ModifyConfigurationIntention) inputs = "Analyze how to change configuration according to following user input, answer me with json: \n\n" + \ ">> " + txt.rstrip('\n').replace('\n','\n>> ') + '\n\n' + \ @@ -44,11 +44,11 @@ def modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, s ok = (explicit_conf in txt) if ok: - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"正在执行任务: {txt}\n\n新配置{explicit_conf}={user_intention.new_option_value}", chatbot=chatbot, history=history, delay=1 ) - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"正在执行任务: {txt}\n\n新配置{explicit_conf}={user_intention.new_option_value}\n\n正在修改配置中", chatbot=chatbot, history=history, delay=2 ) @@ -57,25 +57,25 @@ def modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, s from toolbox import set_conf set_conf(explicit_conf, user_intention.new_option_value) - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"正在执行任务: {txt}\n\n配置修改完成，重新页面即可生效。", chatbot=chatbot, history=history, delay=1 ) else: - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"失败，如果需要配置{explicit_conf}，您需要明确说明并在指令中提到它。", chatbot=chatbot, history=history, delay=5 ) def modify_configuration_reboot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention): ALLOW_RESET_CONFIG = get_conf('ALLOW_RESET_CONFIG') if not ALLOW_RESET_CONFIG: - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"当前配置不允许被修改！如需激活本功能，请在config.py中设置ALLOW_RESET_CONFIG=True后重启软件。", chatbot=chatbot, history=history, delay=2 ) return yield from modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention) - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"正在执行任务: {txt}\n\n配置修改完成，五秒后即将重启！若出现报错请无视即可。", chatbot=chatbot, history=history, delay=5 ) os.execl(sys.executable, sys.executable, *sys.argv) diff --git a/crazy_functions/vt_fns/vt_state.py b/crazy_functions/vt_fns/vt_state.py index 9d5ff4c8..f09236dc 100644 --- a/crazy_functions/vt_fns/vt_state.py +++ b/crazy_functions/vt_fns/vt_state.py @@ -5,7 +5,7 @@ class VoidTerminalState(): self.reset_state() def reset_state(self): - self.has_provided_explaination = False + self.has_provided_explanation = False def lock_plugin(self, chatbot): chatbot._cookies['lock_plugin'] = 'crazy_functions.虚空终端->虚空终端' diff --git a/crazy_functions/互动小游戏.py b/crazy_functions/互动小游戏.py index cf1af229..1291a6dd 100644 --- a/crazy_functions/互动小游戏.py +++ b/crazy_functions/互动小游戏.py @@ -1,4 +1,4 @@ -from toolbox import CatchException, update_ui, update_ui_lastest_msg +from toolbox import CatchException, update_ui, update_ui_latest_msg from crazy_functions.multi_stage.multi_stage_utils import GptAcademicGameBaseState from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive from request_llms.bridge_all import predict_no_ui_long_connection diff --git a/crazy_functions/函数动态生成.py b/crazy_functions/函数动态生成.py index cd1c8cd4..9b8af760 100644 --- a/crazy_functions/函数动态生成.py +++ b/crazy_functions/函数动态生成.py @@ -15,7 +15,7 @@ Testing: from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, is_the_upload_folder -from toolbox import promote_file_to_downloadzone, get_log_folder, update_ui_lastest_msg +from toolbox import promote_file_to_downloadzone, get_log_folder, update_ui_latest_msg from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, get_plugin_arg from crazy_functions.crazy_utils import input_clipping, try_install_deps from crazy_functions.gen_fns.gen_fns_shared import is_function_successfully_generated @@ -27,7 +27,7 @@ import time import glob import multiprocessing -templete = """ +template = """ ```python import ... # Put dependencies here, e.g. import numpy as np. @@ -77,10 +77,10 @@ def gpt_interact_multi_step(txt, file_type, llm_kwargs, chatbot, history): # 第二步 prompt_compose = [ - "If previous stage is successful, rewrite the function you have just written to satisfy following templete: \n", - templete + "If previous stage is successful, rewrite the function you have just written to satisfy following template: \n", + template ] - i_say = "".join(prompt_compose); inputs_show_user = "If previous stage is successful, rewrite the function you have just written to satisfy executable templete. " + i_say = "".join(prompt_compose); inputs_show_user = "If previous stage is successful, rewrite the function you have just written to satisfy executable template. " gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive( inputs=i_say, inputs_show_user=inputs_show_user, llm_kwargs=llm_kwargs, chatbot=chatbot, history=history, @@ -164,18 +164,18 @@ def 函数动态生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_ if get_plugin_arg(plugin_kwargs, key="file_path_arg", default=False): file_path = get_plugin_arg(plugin_kwargs, key="file_path_arg", default=None) file_list.append(file_path) - yield from update_ui_lastest_msg(f"当前文件: {file_path}", chatbot, history, 1) + yield from update_ui_latest_msg(f"当前文件: {file_path}", chatbot, history, 1) elif have_any_recent_upload_files(chatbot): file_dir = get_recent_file_prompt_support(chatbot) file_list = glob.glob(os.path.join(file_dir, '**/*'), recursive=True) - yield from update_ui_lastest_msg(f"当前文件处理列表: {file_list}", chatbot, history, 1) + yield from update_ui_latest_msg(f"当前文件处理列表: {file_list}", chatbot, history, 1) else: chatbot.append(["文件检索", "没有发现任何近期上传的文件。"]) - yield from update_ui_lastest_msg("没有发现任何近期上传的文件。", chatbot, history, 1) + yield from update_ui_latest_msg("没有发现任何近期上传的文件。", chatbot, history, 1) return # 2. 如果没有文件 if len(file_list) == 0: chatbot.append(["文件检索", "没有发现任何近期上传的文件。"]) - yield from update_ui_lastest_msg("没有发现任何近期上传的文件。", chatbot, history, 1) + yield from update_ui_latest_msg("没有发现任何近期上传的文件。", chatbot, history, 1) return # 2. 如果没有文件 # 读取文件 @@ -183,7 +183,7 @@ def 函数动态生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_ # 粗心检查 if is_the_upload_folder(txt): - yield from update_ui_lastest_msg(f"请在输入框内填写需求, 然后再次点击该插件! 至于您的文件，不用担心, 文件路径 {txt} 已经被记忆. ", chatbot, history, 1) + yield from update_ui_latest_msg(f"请在输入框内填写需求, 然后再次点击该插件! 至于您的文件，不用担心, 文件路径 {txt} 已经被记忆. ", chatbot, history, 1) return # 开始干正事 @@ -195,7 +195,7 @@ def 函数动态生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_ code, installation_advance, txt, file_type, llm_kwargs, chatbot, history = \ yield from gpt_interact_multi_step(txt, file_type, llm_kwargs, chatbot, history) chatbot.append(["代码生成阶段结束", ""]) - yield from update_ui_lastest_msg(f"正在验证上述代码的有效性 ...", chatbot, history, 1) + yield from update_ui_latest_msg(f"正在验证上述代码的有效性 ...", chatbot, history, 1) # ⭐ 分离代码块 code = get_code_block(code) # ⭐ 检查模块 @@ -206,11 +206,11 @@ def 函数动态生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_ if not traceback: traceback = trimmed_format_exc() # 处理异常 if not traceback: traceback = trimmed_format_exc() - yield from update_ui_lastest_msg(f"第 {j+1}/{MAX_TRY} 次代码生成尝试, 失败了~ 别担心, 我们5秒后再试一次... \n\n此次我们的错误追踪是\n```\n{traceback}\n```\n", chatbot, history, 5) + yield from update_ui_latest_msg(f"第 {j+1}/{MAX_TRY} 次代码生成尝试, 失败了~ 别担心, 我们5秒后再试一次... \n\n此次我们的错误追踪是\n```\n{traceback}\n```\n", chatbot, history, 5) # 代码生成结束, 开始执行 TIME_LIMIT = 15 - yield from update_ui_lastest_msg(f"开始创建新进程并执行代码! 时间限制 {TIME_LIMIT} 秒. 请等待任务完成... ", chatbot, history, 1) + yield from update_ui_latest_msg(f"开始创建新进程并执行代码! 时间限制 {TIME_LIMIT} 秒. 请等待任务完成... ", chatbot, history, 1) manager = multiprocessing.Manager() return_dict = manager.dict() diff --git a/crazy_functions/多智能体.py b/crazy_functions/多智能体.py index 37cfeab5..3bbfb11d 100644 --- a/crazy_functions/多智能体.py +++ b/crazy_functions/多智能体.py @@ -8,7 +8,7 @@ import time from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, ProxyNetworkActivate -from toolbox import get_conf, select_api_key, update_ui_lastest_msg, Singleton +from toolbox import get_conf, select_api_key, update_ui_latest_msg, Singleton from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, get_plugin_arg from crazy_functions.crazy_utils import input_clipping, try_install_deps from crazy_functions.agent_fns.persistent import GradioMultiuserManagerForPersistentClasses diff --git a/crazy_functions/批量翻译PDF文档_NOUGAT.py b/crazy_functions/批量翻译PDF文档_NOUGAT.py index 130dde8f..194903c3 100644 --- a/crazy_functions/批量翻译PDF文档_NOUGAT.py +++ b/crazy_functions/批量翻译PDF文档_NOUGAT.py @@ -1,5 +1,5 @@ from toolbox import CatchException, report_exception, get_log_folder, gen_time_str -from toolbox import update_ui, promote_file_to_downloadzone, update_ui_lastest_msg, disable_auto_promotion +from toolbox import update_ui, promote_file_to_downloadzone, update_ui_latest_msg, disable_auto_promotion from toolbox import write_history_to_file, promote_file_to_downloadzone from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive from crazy_functions.crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency diff --git a/crazy_functions/数学动画生成manim.py b/crazy_functions/数学动画生成manim.py index 4a074e43..d7257752 100644 --- a/crazy_functions/数学动画生成manim.py +++ b/crazy_functions/数学动画生成manim.py @@ -166,7 +166,7 @@ class PointWithTrace(Scene): ``` -# do not use get_graph, this funciton is deprecated +# do not use get_graph, this function is deprecated class ExampleFunctionGraph(Scene): def construct(self): diff --git a/crazy_functions/生成多种Mermaid图表.py b/crazy_functions/生成多种Mermaid图表.py index fff7f5d8..2243e77a 100644 --- a/crazy_functions/生成多种Mermaid图表.py +++ b/crazy_functions/生成多种Mermaid图表.py @@ -324,16 +324,16 @@ def 生成多种Mermaid图表( if os.path.exists(txt): # 如输入区无内容则直接解析历史记录 from crazy_functions.pdf_fns.parse_word import extract_text_from_files - file_exist, final_result, page_one, file_manifest, excption = ( + file_exist, final_result, page_one, file_manifest, exception = ( extract_text_from_files(txt, chatbot, history) ) else: file_exist = False - excption = "" + exception = "" file_manifest = [] - if excption != "": - if excption == "word": + if exception != "": + if exception == "word": report_exception( chatbot, history, @@ -341,7 +341,7 @@ def 生成多种Mermaid图表( b=f"找到了.doc文件，但是该文件格式不被支持，请先转化为.docx格式。", ) - elif excption == "pdf": + elif exception == "pdf": report_exception( chatbot, history, @@ -349,7 +349,7 @@ def 生成多种Mermaid图表( 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 pymupdf```。", ) - elif excption == "word_pip": + elif exception == "word_pip": report_exception( chatbot, history, diff --git a/crazy_functions/知识库问答.py b/crazy_functions/知识库问答.py index f902ed09..dd1207d6 100644 --- a/crazy_functions/知识库问答.py +++ b/crazy_functions/知识库问答.py @@ -1,4 +1,4 @@ -from toolbox import CatchException, update_ui, ProxyNetworkActivate, update_ui_lastest_msg, get_log_folder, get_user +from toolbox import CatchException, update_ui, ProxyNetworkActivate, update_ui_latest_msg, get_log_folder, get_user from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, get_files_from_everything from loguru import logger install_msg =""" @@ -42,7 +42,7 @@ def 知识库文件注入(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # from crazy_functions.crazy_utils import try_install_deps # try_install_deps(['zh_langchain==0.2.1', 'pypinyin'], reload_m=['pypinyin', 'zh_langchain']) - # yield from update_ui_lastest_msg("安装完成，您可以再次重试。", chatbot, history) + # yield from update_ui_latest_msg("安装完成，您可以再次重试。", chatbot, history) return # < --------------------读取文件--------------- > @@ -95,7 +95,7 @@ def 读取知识库作答(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # from crazy_functions.crazy_utils import try_install_deps # try_install_deps(['zh_langchain==0.2.1', 'pypinyin'], reload_m=['pypinyin', 'zh_langchain']) - # yield from update_ui_lastest_msg("安装完成，您可以再次重试。", chatbot, history) + # yield from update_ui_latest_msg("安装完成，您可以再次重试。", chatbot, history) return # < ------------------- --------------- > diff --git a/crazy_functions/虚空终端.py b/crazy_functions/虚空终端.py index e5fa2b67..662e3c1b 100644 --- a/crazy_functions/虚空终端.py +++ b/crazy_functions/虚空终端.py @@ -47,7 +47,7 @@ explain_msg = """ from pydantic import BaseModel, Field from typing import List from toolbox import CatchException, update_ui, is_the_upload_folder -from toolbox import update_ui_lastest_msg, disable_auto_promotion +from toolbox import update_ui_latest_msg, disable_auto_promotion from request_llms.bridge_all import predict_no_ui_long_connection from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive from crazy_functions.crazy_utils import input_clipping @@ -113,19 +113,19 @@ def 虚空终端(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt # 用简单的关键词检测用户意图 is_certain, _ = analyze_intention_with_simple_rules(txt) if is_the_upload_folder(txt): - state.set_state(chatbot=chatbot, key='has_provided_explaination', value=False) + state.set_state(chatbot=chatbot, key='has_provided_explanation', value=False) appendix_msg = "\n\n**很好，您已经上传了文件**，现在请您描述您的需求。" - if is_certain or (state.has_provided_explaination): + if is_certain or (state.has_provided_explanation): # 如果意图明确，跳过提示环节 - state.set_state(chatbot=chatbot, key='has_provided_explaination', value=True) + state.set_state(chatbot=chatbot, key='has_provided_explanation', value=True) state.unlock_plugin(chatbot=chatbot) yield from update_ui(chatbot=chatbot, history=history) yield from 虚空终端主路由(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request) return else: # 如果意图模糊，提示 - state.set_state(chatbot=chatbot, key='has_provided_explaination', value=True) + state.set_state(chatbot=chatbot, key='has_provided_explanation', value=True) state.lock_plugin(chatbot=chatbot) chatbot.append(("虚空终端状态:", explain_msg+appendix_msg)) yield from update_ui(chatbot=chatbot, history=history) @@ -141,7 +141,7 @@ def 虚空终端主路由(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst # ⭐ ⭐ ⭐ 分析用户意图 is_certain, user_intention = analyze_intention_with_simple_rules(txt) if not is_certain: - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"正在执行任务: {txt}\n\n分析用户意图中", chatbot=chatbot, history=history, delay=0) gpt_json_io = GptJsonIO(UserIntention) rf_req = "\nchoose from ['ModifyConfiguration', 'ExecutePlugin', 'Chat']" @@ -154,13 +154,13 @@ def 虚空终端主路由(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst user_intention = gpt_json_io.generate_output_auto_repair(analyze_res, run_gpt_fn) lastmsg=f"正在执行任务: {txt}\n\n用户意图理解: 意图={explain_intention_to_user[user_intention.intention_type]}", except JsonStringError as e: - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"正在执行任务: {txt}\n\n用户意图理解: 失败 当前语言模型（{llm_kwargs['llm_model']}）不能理解您的意图", chatbot=chatbot, history=history, delay=0) return else: pass - yield from update_ui_lastest_msg( + yield from update_ui_latest_msg( lastmsg=f"正在执行任务: {txt}\n\n用户意图理解: 意图={explain_intention_to_user[user_intention.intention_type]}", chatbot=chatbot, history=history, delay=0) diff --git a/crazy_functions/语音助手.py b/crazy_functions/语音助手.py index 8aeeeda4..e73421f2 100644 --- a/crazy_functions/语音助手.py +++ b/crazy_functions/语音助手.py @@ -42,7 +42,7 @@ class AsyncGptTask(): MAX_TOKEN_ALLO = 2560 i_say, history = input_clipping(i_say, history, max_token_limit=MAX_TOKEN_ALLO) gpt_say_partial = predict_no_ui_long_connection(inputs=i_say, llm_kwargs=llm_kwargs, history=history, sys_prompt=sys_prompt, - observe_window=observe_window[index], console_slience=True) + observe_window=observe_window[index], console_silence=True) except ConnectionAbortedError as token_exceed_err: logger.error('至少一个线程任务Token溢出而失败', e) except Exception as e: diff --git a/crazy_functions/谷歌检索小助手.py b/crazy_functions/谷歌检索小助手.py index 0cb0bbb0..b5583d30 100644 --- a/crazy_functions/谷歌检索小助手.py +++ b/crazy_functions/谷歌检索小助手.py @@ -1,6 +1,6 @@ from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive from toolbox import CatchException, report_exception, promote_file_to_downloadzone -from toolbox import update_ui, update_ui_lastest_msg, disable_auto_promotion, write_history_to_file +from toolbox import update_ui, update_ui_latest_msg, disable_auto_promotion, write_history_to_file import logging import requests import time @@ -156,7 +156,7 @@ def 谷歌检索小助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst history = [] meta_paper_info_list = yield from get_meta_information(txt, chatbot, history) if len(meta_paper_info_list) == 0: - yield from update_ui_lastest_msg(lastmsg='获取文献失败，可能触发了google反爬虫机制。',chatbot=chatbot, history=history, delay=0) + yield from update_ui_latest_msg(lastmsg='获取文献失败，可能触发了google反爬虫机制。',chatbot=chatbot, history=history, delay=0) return batchsize = 5 for batch in range(math.ceil(len(meta_paper_info_list)/batchsize)): diff --git a/docs/translate_english.json b/docs/translate_english.json index 02735a21..d2f5a81f 100644 --- a/docs/translate_english.json +++ b/docs/translate_english.json @@ -1141,7 +1141,7 @@ "内容太长了都会触发token数量溢出的错误": "An error of token overflow will be triggered if the content is too long", "chatbot 为WebUI中显示的对话列表": "chatbot is the conversation list displayed in WebUI", "修改它": "Modify it", - "然后yeild出去": "Then yield it out", + "然后yield出去": "Then yield it out", "可以直接修改对话界面内容": "You can directly modify the conversation interface content", "additional_fn代表点击的哪个按钮": "additional_fn represents which button is clicked", "按钮见functional.py": "See functional.py for buttons", @@ -1732,7 +1732,7 @@ "或者重启之后再度尝试": "Or try again after restarting", "免费": "Free", "仅在Windows系统进行了测试": "Tested only on Windows system", - "欢迎加REAME中的QQ联系开发者": "Feel free to contact the developer via QQ in REAME", + "欢迎加README中的QQ联系开发者": "Feel free to contact the developer via QQ in README", "当前知识库内的有效文件": "Valid files in the current knowledge base", "您可以到Github Issue区": "You can go to the Github Issue area", "刷新Gradio前端界面": "Refresh the Gradio frontend interface", @@ -1759,7 +1759,7 @@ "报错信息如下. 如果是与网络相关的问题": "Error message as follows. If it is related to network issues", "功能描述": "Function description", "禁止移除或修改此警告": "Removal or modification of this warning is prohibited", - "Arixv翻译": "Arixv translation", + "ArXiv翻译": "ArXiv translation", "读取优先级": "Read priority", "包含documentclass关键字": "Contains the documentclass keyword", "根据文本使用GPT模型生成相应的图像": "Generate corresponding images using GPT model based on the text", @@ -1998,7 +1998,7 @@ "开始最终总结": "Start final summary", "openai的官方KEY需要伴随组织编码": "Openai's official KEY needs to be accompanied by organizational code", "将子线程的gpt结果写入chatbot": "Write the GPT result of the sub-thread into the chatbot", - "Arixv论文精细翻译": "Fine translation of Arixv paper", + "ArXiv论文精细翻译": "Fine translation of ArXiv paper", "开始接收chatglmft的回复": "Start receiving replies from chatglmft", "请先将.doc文档转换为.docx文档": "Please convert .doc documents to .docx documents first", "避免多用户干扰": "Avoid multiple user interference", @@ -2360,7 +2360,7 @@ "请在config.py中设置ALLOW_RESET_CONFIG=True后重启软件": "Please set ALLOW_RESET_CONFIG=True in config.py and restart the software", "按照自然语言描述生成一个动画 | 输入参数是一段话": "Generate an animation based on natural language description | Input parameter is a sentence", "你的hf用户名如qingxu98": "Your hf username is qingxu98", - "Arixv论文精细翻译 | 输入参数arxiv论文的ID": "Fine translation of Arixv paper | Input parameter is the ID of arxiv paper", + "ArXiv论文精细翻译 | 输入参数arxiv论文的ID": "Fine translation of ArXiv paper | Input parameter is the ID of arxiv paper", "无法获取 abstract": "Unable to retrieve abstract", "尽可能地仅用一行命令解决我的要求": "Try to solve my request using only one command", "提取插件参数": "Extract plugin parameters", diff --git a/docs/translate_japanese.json b/docs/translate_japanese.json index c9f47c5a..707a731f 100644 --- a/docs/translate_japanese.json +++ b/docs/translate_japanese.json @@ -753,7 +753,7 @@ "手动指定和筛选源代码文件类型": "ソースコードファイルタイプを手動で指定およびフィルタリングする", "更多函数插件": "その他の関数プラグイン", "看门狗的耐心": "監視犬の忍耐力", - "然后yeild出去": "そして出力する", + "然后yield出去": "そして出力する", "拆分过长的IPynb文件": "長すぎるIPynbファイルを分割する", "1. 把input的余量留出来": "1. 入力の余裕を残す", "请求超时": "リクエストがタイムアウトしました", @@ -1803,7 +1803,7 @@ "默认值为1000": "デフォルト値は1000です", "写出文件": "ファイルに書き出す", "生成的视频文件路径": "生成されたビデオファイルのパス", - "Arixv论文精细翻译": "Arixv論文の詳細な翻訳", + "ArXiv论文精细翻译": "ArXiv論文の詳細な翻訳", "用latex编译为PDF对修正处做高亮": "LaTeXでコンパイルしてPDFに修正をハイライトする", "点击“停止”键可终止程序": "「停止」ボタンをクリックしてプログラムを終了できます", "否则将导致每个人的Claude问询历史互相渗透": "さもないと、各人のClaudeの問い合わせ履歴が相互に侵入します", @@ -1987,7 +1987,7 @@ "前面是中文逗号": "前面是中文逗号", "的依赖": "的依赖", "材料如下": "材料如下", - "欢迎加REAME中的QQ联系开发者": "欢迎加REAME中的QQ联系开发者", + "欢迎加README中的QQ联系开发者": "欢迎加README中的QQ联系开发者", "开始下载": "開始ダウンロード", "100字以内": "100文字以内", "创建request": "リクエストの作成", diff --git a/docs/translate_traditionalchinese.json b/docs/translate_traditionalchinese.json index b3b35378..41cf3626 100644 --- a/docs/translate_traditionalchinese.json +++ b/docs/translate_traditionalchinese.json @@ -771,7 +771,7 @@ "查询代理的地理位置": "查詢代理的地理位置", "是否在输入过长时": "是否在輸入過長時", "chatGPT分析报告": "chatGPT分析報告", - "然后yeild出去": "然後yield出去", + "然后yield出去": "然後yield出去", "用户取消了程序": "使用者取消了程式", "琥珀色": "琥珀色", "这里是特殊函数插件的高级参数输入区": "這裡是特殊函數插件的高級參數輸入區", @@ -1587,7 +1587,7 @@ "否则将导致每个人的Claude问询历史互相渗透": "否則將導致每個人的Claude問詢歷史互相滲透", "提问吧! 但注意": "提問吧！但注意", "待处理的word文档路径": "待處理的word文檔路徑", - "欢迎加REAME中的QQ联系开发者": "歡迎加REAME中的QQ聯繫開發者", + "欢迎加README中的QQ联系开发者": "歡迎加README中的QQ聯繫開發者", "建议暂时不要使用": "建議暫時不要使用", "Latex没有安装": "Latex沒有安裝", "在这里放一些网上搜集的demo": "在這裡放一些網上搜集的demo", @@ -1989,7 +1989,7 @@ "请耐心等待": "請耐心等待", "在执行完成之后": "在執行完成之後", "参数简单": "參數簡單", - "Arixv论文精细翻译": "Arixv論文精細翻譯", + "ArXiv论文精细翻译": "ArXiv論文精細翻譯", "备份和下载": "備份和下載", "当前报错的latex代码处于第": "當前報錯的latex代碼處於第", "Markdown翻译": "Markdown翻譯", diff --git a/request_llms/bridge_all.py b/request_llms/bridge_all.py index cc5c1bde..100f285e 100644 --- a/request_llms/bridge_all.py +++ b/request_llms/bridge_all.py @@ -1265,9 +1265,9 @@ def LLM_CATCH_EXCEPTION(f): """ 装饰器函数，将错误显示出来 """ - def decorated(inputs:str, llm_kwargs:dict, history:list, sys_prompt:str, observe_window:list, console_slience:bool): + def decorated(inputs:str, llm_kwargs:dict, history:list, sys_prompt:str, observe_window:list, console_silence:bool): try: - return f(inputs, llm_kwargs, history, sys_prompt, observe_window, console_slience) + return f(inputs, llm_kwargs, history, sys_prompt, observe_window, console_silence) except Exception as e: tb_str = '\n```\n' + trimmed_format_exc() + '\n```\n' observe_window[0] = tb_str @@ -1275,7 +1275,7 @@ def LLM_CATCH_EXCEPTION(f): return decorated -def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list, sys_prompt:str, observe_window:list=[], console_slience:bool=False): +def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list, sys_prompt:str, observe_window:list=[], console_silence:bool=False): """ 发送至LLM，等待回复，一次性完成，不显示中间过程。但内部（尽可能地）用stream的方法避免中途网线被掐。 inputs： @@ -1297,7 +1297,7 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list, sys if '&' not in model: # 如果只询问“一个”大语言模型（多数情况）： method = model_info[model]["fn_without_ui"] - return method(inputs, llm_kwargs, history, sys_prompt, observe_window, console_slience) + return method(inputs, llm_kwargs, history, sys_prompt, observe_window, console_silence) else: # 如果同时询问“多个”大语言模型，这个稍微啰嗦一点，但思路相同，您不必读这个else分支 executor = ThreadPoolExecutor(max_workers=4) @@ -1314,7 +1314,7 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list, sys method = model_info[model]["fn_without_ui"] llm_kwargs_feedin = copy.deepcopy(llm_kwargs) llm_kwargs_feedin['llm_model'] = model - future = executor.submit(LLM_CATCH_EXCEPTION(method), inputs, llm_kwargs_feedin, history, sys_prompt, window_mutex[i], console_slience) + future = executor.submit(LLM_CATCH_EXCEPTION(method), inputs, llm_kwargs_feedin, history, sys_prompt, window_mutex[i], console_silence) futures.append(future) def mutex_manager(window_mutex, observe_window): diff --git a/request_llms/bridge_chatglmft.py b/request_llms/bridge_chatglmft.py index fe1489db..7aac355f 100644 --- a/request_llms/bridge_chatglmft.py +++ b/request_llms/bridge_chatglmft.py @@ -139,7 +139,7 @@ global glmft_handle glmft_handle = None ################################################################################# def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", - observe_window:list=[], console_slience:bool=False): + observe_window:list=[], console_silence:bool=False): """ 多线程方法 函数的说明请见 request_llms/bridge_all.py diff --git a/request_llms/bridge_chatgpt.py b/request_llms/bridge_chatgpt.py index e147971b..7d5cbe64 100644 --- a/request_llms/bridge_chatgpt.py +++ b/request_llms/bridge_chatgpt.py @@ -125,7 +125,7 @@ def verify_endpoint(endpoint): raise ValueError("Endpoint不正确, 请检查AZURE_ENDPOINT的配置! 当前的Endpoint为:" + endpoint) return endpoint -def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=None, console_slience:bool=False): +def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=None, console_silence:bool=False): """ 发送至chatGPT，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免中途网线被掐。 inputs： @@ -203,7 +203,7 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], if (not has_content) and (not has_role): continue # raise RuntimeError("发现不标准的第三方接口："+delta) if has_content: # has_role = True/False result += delta["content"] - if not console_slience: print(delta["content"], end='') + if not console_silence: print(delta["content"], end='') if observe_window is not None: # 观测窗，把已经获取的数据显示出去 if len(observe_window) >= 1: @@ -231,7 +231,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith inputs 是本次问询的输入 top_p, temperature是chatGPT的内部调优参数 history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误） - chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容 + chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容 additional_fn代表点击的哪个按钮，按钮见functional.py """ from request_llms.bridge_all import model_info diff --git a/request_llms/bridge_chatgpt_vision.py b/request_llms/bridge_chatgpt_vision.py index dfa6e064..ee5e6196 100644 --- a/request_llms/bridge_chatgpt_vision.py +++ b/request_llms/bridge_chatgpt_vision.py @@ -16,7 +16,7 @@ import base64 import glob from loguru import logger from toolbox import get_conf, update_ui, is_any_api_key, select_api_key, what_keys, clip_history, trimmed_format_exc, is_the_upload_folder, \ - update_ui_lastest_msg, get_max_token, encode_image, have_any_recent_upload_image_files, log_chat + update_ui_latest_msg, get_max_token, encode_image, have_any_recent_upload_image_files, log_chat proxies, TIMEOUT_SECONDS, MAX_RETRY, API_ORG, AZURE_CFG_ARRAY = \ @@ -67,7 +67,7 @@ def verify_endpoint(endpoint): """ return endpoint -def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False): +def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_silence=False): raise NotImplementedError @@ -183,7 +183,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp if ('data: [DONE]' in chunk_decoded) or (len(chunkjson['choices'][0]["delta"]) == 0): # 判定为数据流的结束，gpt_replying_buffer也写完了 lastmsg = chatbot[-1][-1] + f"\n\n\n\n「{llm_kwargs['llm_model']}调用结束，该模型不具备上下文对话能力，如需追问，请及时切换模型。」" - yield from update_ui_lastest_msg(lastmsg, chatbot, history, delay=1) + yield from update_ui_latest_msg(lastmsg, chatbot, history, delay=1) log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer) break # 处理数据流的主体 diff --git a/request_llms/bridge_claude.py b/request_llms/bridge_claude.py index a08fadc8..be9154fd 100644 --- a/request_llms/bridge_claude.py +++ b/request_llms/bridge_claude.py @@ -69,7 +69,7 @@ def decode_chunk(chunk): return need_to_pass, chunkjson, is_last_chunk -def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False): +def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_silence=False): """ 发送至chatGPT，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免中途网线被掐。 inputs： @@ -151,7 +151,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp inputs 是本次问询的输入 top_p, temperature是chatGPT的内部调优参数 history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误） - chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容 + chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容 additional_fn代表点击的哪个按钮，按钮见functional.py """ if inputs == "": inputs = "空空如也的输入栏" diff --git a/request_llms/bridge_cohere.py b/request_llms/bridge_cohere.py index f5ab5070..665e4ba1 100644 --- a/request_llms/bridge_cohere.py +++ b/request_llms/bridge_cohere.py @@ -68,7 +68,7 @@ def verify_endpoint(endpoint): raise ValueError("Endpoint不正确, 请检查AZURE_ENDPOINT的配置! 当前的Endpoint为:" + endpoint) return endpoint -def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=None, console_slience:bool=False): +def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=None, console_silence:bool=False): """ 发送，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免中途网线被掐。 inputs： @@ -111,7 +111,7 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], if chunkjson['event_type'] == 'stream-start': continue if chunkjson['event_type'] == 'text-generation': result += chunkjson["text"] - if not console_slience: print(chunkjson["text"], end='') + if not console_silence: print(chunkjson["text"], end='') if observe_window is not None: # 观测窗，把已经获取的数据显示出去 if len(observe_window) >= 1: @@ -132,7 +132,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith inputs 是本次问询的输入 top_p, temperature是chatGPT的内部调优参数 history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误） - chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容 + chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容 additional_fn代表点击的哪个按钮，按钮见functional.py """ # if is_any_api_key(inputs): diff --git a/request_llms/bridge_google_gemini.py b/request_llms/bridge_google_gemini.py index 3697b8fc..defe0f2b 100644 --- a/request_llms/bridge_google_gemini.py +++ b/request_llms/bridge_google_gemini.py @@ -8,7 +8,7 @@ import os import time from request_llms.com_google import GoogleChatInit from toolbox import ChatBotWithCookies -from toolbox import get_conf, update_ui, update_ui_lastest_msg, have_any_recent_upload_image_files, trimmed_format_exc, log_chat, encode_image +from toolbox import get_conf, update_ui, update_ui_latest_msg, have_any_recent_upload_image_files, trimmed_format_exc, log_chat, encode_image proxies, TIMEOUT_SECONDS, MAX_RETRY = get_conf('proxies', 'TIMEOUT_SECONDS', 'MAX_RETRY') timeout_bot_msg = '[Local Message] Request timeout. Network error. Please check proxy settings in config.py.' + \ @@ -16,7 +16,7 @@ timeout_bot_msg = '[Local Message] Request timeout. Network error. Please check def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=[], - console_slience:bool=False): + console_silence:bool=False): # 检查API_KEY if get_conf("GEMINI_API_KEY") == "": raise ValueError(f"请配置 GEMINI_API_KEY。") @@ -60,7 +60,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith # 检查API_KEY if get_conf("GEMINI_API_KEY") == "": - yield from update_ui_lastest_msg(f"请配置 GEMINI_API_KEY。", chatbot=chatbot, history=history, delay=0) + yield from update_ui_latest_msg(f"请配置 GEMINI_API_KEY。", chatbot=chatbot, history=history, delay=0) return # 适配润色区域 diff --git a/request_llms/bridge_jittorllms_llama.py b/request_llms/bridge_jittorllms_llama.py index 9587fc35..37173cd7 100644 --- a/request_llms/bridge_jittorllms_llama.py +++ b/request_llms/bridge_jittorllms_llama.py @@ -55,7 +55,7 @@ class GetGLMHandle(Process): if self.jittorllms_model is None: device = get_conf('LOCAL_MODEL_DEVICE') from .jittorllms.models import get_model - # availabel_models = ["chatglm", "pangualpha", "llama", "chatrwkv"] + # available_models = ["chatglm", "pangualpha", "llama", "chatrwkv"] args_dict = {'model': 'llama'} print('self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict))') self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict)) @@ -107,7 +107,7 @@ global llama_glm_handle llama_glm_handle = None ################################################################################# def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", - observe_window:list=[], console_slience:bool=False): + observe_window:list=[], console_silence:bool=False): """ 多线程方法 函数的说明请见 request_llms/bridge_all.py diff --git a/request_llms/bridge_jittorllms_pangualpha.py b/request_llms/bridge_jittorllms_pangualpha.py index 325c87b4..17847fa9 100644 --- a/request_llms/bridge_jittorllms_pangualpha.py +++ b/request_llms/bridge_jittorllms_pangualpha.py @@ -55,7 +55,7 @@ class GetGLMHandle(Process): if self.jittorllms_model is None: device = get_conf('LOCAL_MODEL_DEVICE') from .jittorllms.models import get_model - # availabel_models = ["chatglm", "pangualpha", "llama", "chatrwkv"] + # available_models = ["chatglm", "pangualpha", "llama", "chatrwkv"] args_dict = {'model': 'pangualpha'} print('self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict))') self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict)) @@ -107,7 +107,7 @@ global pangu_glm_handle pangu_glm_handle = None ################################################################################# def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", - observe_window:list=[], console_slience:bool=False): + observe_window:list=[], console_silence:bool=False): """ 多线程方法 函数的说明请见 request_llms/bridge_all.py diff --git a/request_llms/bridge_jittorllms_rwkv.py b/request_llms/bridge_jittorllms_rwkv.py index 11f64c02..b430c46c 100644 --- a/request_llms/bridge_jittorllms_rwkv.py +++ b/request_llms/bridge_jittorllms_rwkv.py @@ -55,7 +55,7 @@ class GetGLMHandle(Process): if self.jittorllms_model is None: device = get_conf('LOCAL_MODEL_DEVICE') from .jittorllms.models import get_model - # availabel_models = ["chatglm", "pangualpha", "llama", "chatrwkv"] + # available_models = ["chatglm", "pangualpha", "llama", "chatrwkv"] args_dict = {'model': 'chatrwkv'} print('self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict))') self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict)) @@ -107,7 +107,7 @@ global rwkv_glm_handle rwkv_glm_handle = None ################################################################################# def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", - observe_window:list=[], console_slience:bool=False): + observe_window:list=[], console_silence:bool=False): """ 多线程方法 函数的说明请见 request_llms/bridge_all.py diff --git a/request_llms/bridge_llama2.py b/request_llms/bridge_llama2.py index 95a8cf48..922d0826 100644 --- a/request_llms/bridge_llama2.py +++ b/request_llms/bridge_llama2.py @@ -46,8 +46,8 @@ class GetLlamaHandle(LocalLLMHandle): top_p = kwargs['top_p'] temperature = kwargs['temperature'] history = kwargs['history'] - console_slience = kwargs.get('console_slience', True) - return query, max_length, top_p, temperature, history, console_slience + console_silence = kwargs.get('console_silence', True) + return query, max_length, top_p, temperature, history, console_silence def convert_messages_to_prompt(query, history): prompt = "" @@ -57,7 +57,7 @@ class GetLlamaHandle(LocalLLMHandle): prompt += f"\n[INST]{query}[/INST]" return prompt - query, max_length, top_p, temperature, history, console_slience = adaptor(kwargs) + query, max_length, top_p, temperature, history, console_silence = adaptor(kwargs) prompt = convert_messages_to_prompt(query, history) # =-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=-=- # code from transformers.llama @@ -72,9 +72,9 @@ class GetLlamaHandle(LocalLLMHandle): generated_text = "" for new_text in streamer: generated_text += new_text - if not console_slience: print(new_text, end='') + if not console_silence: print(new_text, end='') yield generated_text.lstrip(prompt_tk_back).rstrip("") - if not console_slience: print() + if not console_silence: print() # =-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=-=- def try_to_import_special_deps(self, **kwargs): diff --git a/request_llms/bridge_moonshot.py b/request_llms/bridge_moonshot.py index 20983fd9..722cf9f9 100644 --- a/request_llms/bridge_moonshot.py +++ b/request_llms/bridge_moonshot.py @@ -169,7 +169,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_bro_result) def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, - console_slience=False): + console_silence=False): gpt_bro_init = MoonShotInit() watch_dog_patience = 60 # 看门狗的耐心, 设置10秒即可 stream_response = gpt_bro_init.generate_messages(inputs, llm_kwargs, history, sys_prompt, True) diff --git a/request_llms/bridge_moss.py b/request_llms/bridge_moss.py index a7e75d20..dd84acd7 100644 --- a/request_llms/bridge_moss.py +++ b/request_llms/bridge_moss.py @@ -95,7 +95,7 @@ class GetGLMHandle(Process): - Its responses must not be vague, accusatory, rude, controversial, off-topic, or defensive. - It should avoid giving subjective opinions but rely on objective facts or phrases like \"in this context a human might say...\", \"some people might think...\", etc. - Its responses must also be positive, polite, interesting, entertaining, and engaging. - - It can provide additional relevant details to answer in-depth and comprehensively covering mutiple aspects. + - It can provide additional relevant details to answer in-depth and comprehensively covering multiple aspects. - It apologizes and accepts the user's suggestion if the user corrects the incorrect answer generated by MOSS. Capabilities and tools that MOSS can possess. """ @@ -172,7 +172,7 @@ global moss_handle moss_handle = None ################################################################################# def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", - observe_window:list=[], console_slience:bool=False): + observe_window:list=[], console_silence:bool=False): """ 多线程方法 函数的说明请见 request_llms/bridge_all.py diff --git a/request_llms/bridge_newbingfree.py b/request_llms/bridge_newbingfree.py index 13573ede..d516a51f 100644 --- a/request_llms/bridge_newbingfree.py +++ b/request_llms/bridge_newbingfree.py @@ -209,7 +209,7 @@ def predict_no_ui_long_connection( history=[], sys_prompt="", observe_window=[], - console_slience=False, + console_silence=False, ): """ 多线程方法 diff --git a/request_llms/bridge_ollama.py b/request_llms/bridge_ollama.py index c701795f..c3770e6a 100644 --- a/request_llms/bridge_ollama.py +++ b/request_llms/bridge_ollama.py @@ -52,7 +52,7 @@ def decode_chunk(chunk): pass return chunk_decoded, chunkjson, is_last_chunk -def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False): +def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_silence=False): """ 发送至chatGPT，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免中途网线被掐。 inputs： @@ -99,7 +99,7 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", logger.info(f'[response] {result}') break result += chunkjson['message']["content"] - if not console_slience: print(chunkjson['message']["content"], end='') + if not console_silence: print(chunkjson['message']["content"], end='') if observe_window is not None: # 观测窗，把已经获取的数据显示出去 if len(observe_window) >= 1: @@ -124,7 +124,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp inputs 是本次问询的输入 top_p, temperature是chatGPT的内部调优参数 history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误） - chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容 + chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容 additional_fn代表点击的哪个按钮，按钮见functional.py """ if inputs == "": inputs = "空空如也的输入栏" diff --git a/request_llms/bridge_openrouter.py b/request_llms/bridge_openrouter.py index 374c982b..07ec4249 100644 --- a/request_llms/bridge_openrouter.py +++ b/request_llms/bridge_openrouter.py @@ -119,7 +119,7 @@ def verify_endpoint(endpoint): raise ValueError("Endpoint不正确, 请检查AZURE_ENDPOINT的配置! 当前的Endpoint为:" + endpoint) return endpoint -def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=None, console_slience:bool=False): +def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=None, console_silence:bool=False): """ 发送至chatGPT，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免中途网线被掐。 inputs： @@ -188,7 +188,7 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], if (not has_content) and (not has_role): continue # raise RuntimeError("发现不标准的第三方接口："+delta) if has_content: # has_role = True/False result += delta["content"] - if not console_slience: print(delta["content"], end='') + if not console_silence: print(delta["content"], end='') if observe_window is not None: # 观测窗，把已经获取的数据显示出去 if len(observe_window) >= 1: @@ -213,7 +213,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith inputs 是本次问询的输入 top_p, temperature是chatGPT的内部调优参数 history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误） - chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容 + chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容 additional_fn代表点击的哪个按钮，按钮见functional.py """ from request_llms.bridge_all import model_info diff --git a/request_llms/bridge_qianfan.py b/request_llms/bridge_qianfan.py index a65adb3a..e409b450 100644 --- a/request_llms/bridge_qianfan.py +++ b/request_llms/bridge_qianfan.py @@ -121,7 +121,7 @@ def generate_from_baidu_qianfan(inputs, llm_kwargs, history, system_prompt): def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", - observe_window:list=[], console_slience:bool=False): + observe_window:list=[], console_silence:bool=False): """ ⭐多线程方法 函数的说明请见 request_llms/bridge_all.py diff --git a/request_llms/bridge_qwen.py b/request_llms/bridge_qwen.py index 0a06545b..927afd13 100644 --- a/request_llms/bridge_qwen.py +++ b/request_llms/bridge_qwen.py @@ -1,12 +1,12 @@ import time import os -from toolbox import update_ui, get_conf, update_ui_lastest_msg +from toolbox import update_ui, get_conf, update_ui_latest_msg from toolbox import check_packages, report_exception, log_chat model_name = 'Qwen' def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", - observe_window:list=[], console_slience:bool=False): + observe_window:list=[], console_silence:bool=False): """ ⭐多线程方法 函数的说明请见 request_llms/bridge_all.py @@ -35,13 +35,13 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp try: check_packages(["dashscope"]) except: - yield from update_ui_lastest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade dashscope```。", + yield from update_ui_latest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade dashscope```。", chatbot=chatbot, history=history, delay=0) return # 检查DASHSCOPE_API_KEY if get_conf("DASHSCOPE_API_KEY") == "": - yield from update_ui_lastest_msg(f"请配置 DASHSCOPE_API_KEY。", + yield from update_ui_latest_msg(f"请配置 DASHSCOPE_API_KEY。", chatbot=chatbot, history=history, delay=0) return diff --git a/request_llms/bridge_skylark2.py b/request_llms/bridge_skylark2.py index 89552aad..89d0df93 100644 --- a/request_llms/bridge_skylark2.py +++ b/request_llms/bridge_skylark2.py @@ -1,5 +1,5 @@ import time -from toolbox import update_ui, get_conf, update_ui_lastest_msg +from toolbox import update_ui, get_conf, update_ui_latest_msg from toolbox import check_packages, report_exception model_name = '云雀大模型' @@ -10,7 +10,7 @@ def validate_key(): return True def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", - observe_window:list=[], console_slience:bool=False): + observe_window:list=[], console_silence:bool=False): """ ⭐ 多线程方法 函数的说明请见 request_llms/bridge_all.py @@ -42,12 +42,12 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp try: check_packages(["zhipuai"]) except: - yield from update_ui_lastest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade zhipuai```。", + yield from update_ui_latest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade zhipuai```。", chatbot=chatbot, history=history, delay=0) return if validate_key() is False: - yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置HUOSHAN_API_KEY", chatbot=chatbot, history=history, delay=0) + yield from update_ui_latest_msg(lastmsg="[Local Message] 请配置HUOSHAN_API_KEY", chatbot=chatbot, history=history, delay=0) return if additional_fn is not None: diff --git a/request_llms/bridge_spark.py b/request_llms/bridge_spark.py index 4fc43518..ff7e64d5 100644 --- a/request_llms/bridge_spark.py +++ b/request_llms/bridge_spark.py @@ -2,7 +2,7 @@ import time import threading import importlib -from toolbox import update_ui, get_conf, update_ui_lastest_msg +from toolbox import update_ui, get_conf, update_ui_latest_msg from multiprocessing import Process, Pipe model_name = '星火认知大模型' @@ -14,7 +14,7 @@ def validate_key(): return True def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", - observe_window:list=[], console_slience:bool=False): + observe_window:list=[], console_silence:bool=False): """ ⭐多线程方法 函数的说明请见 request_llms/bridge_all.py @@ -43,7 +43,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp yield from update_ui(chatbot=chatbot, history=history) if validate_key() is False: - yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置讯飞星火大模型的XFYUN_APPID, XFYUN_API_KEY, XFYUN_API_SECRET", chatbot=chatbot, history=history, delay=0) + yield from update_ui_latest_msg(lastmsg="[Local Message] 请配置讯飞星火大模型的XFYUN_APPID, XFYUN_API_KEY, XFYUN_API_SECRET", chatbot=chatbot, history=history, delay=0) return if additional_fn is not None: diff --git a/request_llms/bridge_stackclaude.py b/request_llms/bridge_stackclaude.py index deed4676..0b62b231 100644 --- a/request_llms/bridge_stackclaude.py +++ b/request_llms/bridge_stackclaude.py @@ -225,7 +225,7 @@ def predict_no_ui_long_connection( history=[], sys_prompt="", observe_window=None, - console_slience=False, + console_silence=False, ): """ 多线程方法 diff --git a/request_llms/bridge_taichu.py b/request_llms/bridge_taichu.py index 2c47363f..e003e3ca 100644 --- a/request_llms/bridge_taichu.py +++ b/request_llms/bridge_taichu.py @@ -1,6 +1,6 @@ import time import os -from toolbox import update_ui, get_conf, update_ui_lastest_msg, log_chat +from toolbox import update_ui, get_conf, update_ui_latest_msg, log_chat from toolbox import check_packages, report_exception, have_any_recent_upload_image_files from toolbox import ChatBotWithCookies @@ -13,7 +13,7 @@ def validate_key(): return True def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", - observe_window:list=[], console_slience:bool=False): + observe_window:list=[], console_silence:bool=False): """ ⭐多线程方法 函数的说明请见 request_llms/bridge_all.py @@ -49,7 +49,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith yield from update_ui(chatbot=chatbot, history=history) if validate_key() is False: - yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置ZHIPUAI_API_KEY", chatbot=chatbot, history=history, delay=0) + yield from update_ui_latest_msg(lastmsg="[Local Message] 请配置ZHIPUAI_API_KEY", chatbot=chatbot, history=history, delay=0) return if additional_fn is not None: diff --git a/request_llms/bridge_tgui.py b/request_llms/bridge_tgui.py index 4be498a3..df946533 100644 --- a/request_llms/bridge_tgui.py +++ b/request_llms/bridge_tgui.py @@ -91,7 +91,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp inputs 是本次问询的输入 top_p, temperature是chatGPT的内部调优参数 history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误） - chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容 + chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容 additional_fn代表点击的哪个按钮，按钮见functional.py """ if additional_fn is not None: @@ -112,7 +112,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp mutable = ["", time.time()] - def run_coorotine(mutable): + def run_coroutine(mutable): async def get_result(mutable): # "tgui:galactica-1.3b@localhost:7860" @@ -126,7 +126,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp break asyncio.run(get_result(mutable)) - thread_listen = threading.Thread(target=run_coorotine, args=(mutable,), daemon=True) + thread_listen = threading.Thread(target=run_coroutine, args=(mutable,), daemon=True) thread_listen.start() while thread_listen.is_alive(): @@ -142,7 +142,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp -def predict_no_ui_long_connection(inputs, llm_kwargs, history, sys_prompt, observe_window, console_slience=False): +def predict_no_ui_long_connection(inputs, llm_kwargs, history, sys_prompt, observe_window, console_silence=False): raw_input = "What I would like to say is the following: " + inputs prompt = raw_input tgui_say = "" @@ -151,7 +151,7 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history, sys_prompt, obser addr, port = addr_port.split(':') - def run_coorotine(observe_window): + def run_coroutine(observe_window): async def get_result(observe_window): async for response in run(context=prompt, max_token=llm_kwargs['max_length'], temperature=llm_kwargs['temperature'], @@ -162,6 +162,6 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history, sys_prompt, obser print('exit when no listener') break asyncio.run(get_result(observe_window)) - thread_listen = threading.Thread(target=run_coorotine, args=(observe_window,)) + thread_listen = threading.Thread(target=run_coroutine, args=(observe_window,)) thread_listen.start() return observe_window[0] diff --git a/request_llms/bridge_zhipu.py b/request_llms/bridge_zhipu.py index e8222913..5c31c008 100644 --- a/request_llms/bridge_zhipu.py +++ b/request_llms/bridge_zhipu.py @@ -1,6 +1,6 @@ import time import os -from toolbox import update_ui, get_conf, update_ui_lastest_msg, log_chat +from toolbox import update_ui, get_conf, update_ui_latest_msg, log_chat from toolbox import check_packages, report_exception, have_any_recent_upload_image_files from toolbox import ChatBotWithCookies @@ -18,7 +18,7 @@ def make_media_input(inputs, image_paths): return inputs def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", - observe_window:list=[], console_slience:bool=False): + observe_window:list=[], console_silence:bool=False): """ ⭐多线程方法 函数的说明请见 request_llms/bridge_all.py @@ -57,12 +57,12 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith try: check_packages(["zhipuai"]) except: - yield from update_ui_lastest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade zhipuai```。", + yield from update_ui_latest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade zhipuai```。", chatbot=chatbot, history=history, delay=0) return if validate_key() is False: - yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置ZHIPUAI_API_KEY", chatbot=chatbot, history=history, delay=0) + yield from update_ui_latest_msg(lastmsg="[Local Message] 请配置ZHIPUAI_API_KEY", chatbot=chatbot, history=history, delay=0) return if additional_fn is not None: diff --git a/request_llms/local_llm_class.py b/request_llms/local_llm_class.py index 6c218d7e..91d38c76 100644 --- a/request_llms/local_llm_class.py +++ b/request_llms/local_llm_class.py @@ -216,7 +216,7 @@ class LocalLLMHandle(Process): def get_local_llm_predict_fns(LLMSingletonClass, model_name, history_format='classic'): load_message = f"{model_name}尚未加载，加载需要一段时间。注意，取决于`config.py`的配置，{model_name}消耗大量的内存（CPU）或显存（GPU），也许会导致低配计算机卡死 ……" - def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=[], console_slience:bool=False): + def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=[], console_silence:bool=False): """ refer to request_llms/bridge_all.py """ diff --git a/request_llms/oai_std_model_template.py b/request_llms/oai_std_model_template.py index c652a0ef..d50e0d27 100644 --- a/request_llms/oai_std_model_template.py +++ b/request_llms/oai_std_model_template.py @@ -4,7 +4,7 @@ import traceback import requests from loguru import logger -from toolbox import get_conf, is_the_upload_folder, update_ui, update_ui_lastest_msg +from toolbox import get_conf, is_the_upload_folder, update_ui, update_ui_latest_msg proxies, TIMEOUT_SECONDS, MAX_RETRY = get_conf( "proxies", "TIMEOUT_SECONDS", "MAX_RETRY" @@ -350,14 +350,14 @@ def get_predict_function( chunk = next(stream_response) except StopIteration: if wait_counter != 0 and gpt_replying_buffer == "": - yield from update_ui_lastest_msg(lastmsg="模型调用失败 ...", chatbot=chatbot, history=history, msg="failed") + yield from update_ui_latest_msg(lastmsg="模型调用失败 ...", chatbot=chatbot, history=history, msg="failed") break except requests.exceptions.ConnectionError: chunk = next(stream_response) # 失败了，重试一次？再失败就没办法了。 response_text, reasoning_content, finish_reason, decoded_chunk = decode_chunk(chunk) if decoded_chunk == ': keep-alive': wait_counter += 1 - yield from update_ui_lastest_msg(lastmsg="等待中 " + "".join(["."] * (wait_counter%10)), chatbot=chatbot, history=history, msg="waiting ...") + yield from update_ui_latest_msg(lastmsg="等待中 " + "".join(["."] * (wait_counter%10)), chatbot=chatbot, history=history, msg="waiting ...") continue # 返回的数据流第一次为空，继续等待 if response_text == "" and (reasoning == False or reasoning_content == "") and finish_reason != "False": diff --git a/shared_utils/char_visual_effect.py b/shared_utils/char_visual_effect.py index aba79038..fb260d3f 100644 --- a/shared_utils/char_visual_effect.py +++ b/shared_utils/char_visual_effect.py @@ -8,7 +8,7 @@ def is_full_width_char(ch): return True # CJK标点符号 return False -def scolling_visual_effect(text, scroller_max_len): +def scrolling_visual_effect(text, scroller_max_len): text = text.\ replace('\n', '').replace('`', '.').replace(' ', '.').replace('
', '.....').replace('$', '.') place_take_cnt = 0 diff --git a/shared_utils/connect_void_terminal.py b/shared_utils/connect_void_terminal.py index 8fdb1033..656da800 100644 --- a/shared_utils/connect_void_terminal.py +++ b/shared_utils/connect_void_terminal.py @@ -85,7 +85,7 @@ def get_chat_default_kwargs(): "history": [], "sys_prompt": "You are AI assistant", "observe_window": None, - "console_slience": False, + "console_silence": False, } return default_chat_kwargs diff --git a/tests/test_python_auto_docstring.py b/tests/test_python_auto_docstring.py index 6bfab23e..5cfe6cde 100644 --- a/tests/test_python_auto_docstring.py +++ b/tests/test_python_auto_docstring.py @@ -9,7 +9,7 @@ from textwrap import dedent # TODO: 解决缩进问题 find_function_end_prompt = ''' -Below is a page of code that you need to read. This page may not yet complete, you job is to split this page to sperate functions, class functions etc. +Below is a page of code that you need to read. This page may not yet complete, you job is to split this page to separate functions, class functions etc. - Provide the line number where the first visible function ends. - Provide the line number where the next visible function begins. - If there are no other functions in this page, you should simply return the line number of the last line. @@ -58,7 +58,7 @@ OUTPUT: -revise_funtion_prompt = ''' +revise_function_prompt = ''' You need to read the following code, and revise the code according to following instructions: 1. You should analyze the purpose of the functions (if there are any). 2. You need to add docstring for the provided functions (if there are any). @@ -147,7 +147,7 @@ class ContextWindowManager(): history=[], sys_prompt="", observe_window=[], - console_slience=True + console_silence=True ) def extract_number(text): @@ -240,15 +240,15 @@ class ContextWindowManager(): def tag_code(self, fn): code = ''.join(fn) _, n_indent = self.dedent(code) - indent_reminder = "" if n_indent == 0 else "(Reminder: as you can see, this piece of code has indent made up with {n_indent} whitespace, please preseve them in the OUTPUT.)" + indent_reminder = "" if n_indent == 0 else "(Reminder: as you can see, this piece of code has indent made up with {n_indent} whitespace, please preserve them in the OUTPUT.)" self.llm_kwargs['temperature'] = 0 result = predict_no_ui_long_connection( - inputs=revise_funtion_prompt.format(THE_CODE=code, INDENT_REMINDER=indent_reminder), + inputs=revise_function_prompt.format(THE_CODE=code, INDENT_REMINDER=indent_reminder), llm_kwargs=self.llm_kwargs, history=[], sys_prompt="", observe_window=[], - console_slience=True + console_silence=True ) def get_code_block(reply): diff --git a/themes/waifu_plugin/live2d.js b/themes/waifu_plugin/live2d.js index 2cf559be..dc563d01 100644 --- a/themes/waifu_plugin/live2d.js +++ b/themes/waifu_plugin/live2d.js @@ -598,7 +598,7 @@ function(t) { default.VIEW_LOGICAL_MAX_BOTTOM, w. default.VIEW_LOGICAL_MAX_TOP), B.setMaxScale(w. default.VIEW_MAX_SCALE), B.setMinScale(w. - default.VIEW_MIN_SCALE), U = new M.L2DMatrix44, U.multScale(1, i / e), G = new M.L2DMatrix44, G.multTranslate(-i / 2, -e / 2), G.multScale(2 / i, -2 / i), F = v(), (0, D.setContext)(F), !F) return console.error("Failed to create WebGL context."), void(window.WebGLRenderingContext && console.error("Your browser don't support WebGL, check https://get.webgl.org/ for futher information.")); + default.VIEW_MIN_SCALE), U = new M.L2DMatrix44, U.multScale(1, i / e), G = new M.L2DMatrix44, G.multTranslate(-i / 2, -e / 2), G.multScale(2 / i, -2 / i), F = v(), (0, D.setContext)(F), !F) return console.error("Failed to create WebGL context."), void(window.WebGLRenderingContext && console.error("Your browser don't support WebGL, check https://get.webgl.org/ for further information.")); window.Live2D.setGL(F), F.clearColor(0, 0, 0, 0), a(t), s() } function s() { diff --git a/toolbox.py b/toolbox.py index 15f4ff6d..3f2a85c5 100644 --- a/toolbox.py +++ b/toolbox.py @@ -183,7 +183,7 @@ def update_ui(chatbot:ChatBotWithCookies, history:list, msg:str="正常", **kwar yield cookies, chatbot_gr, json_history, msg -def update_ui_lastest_msg(lastmsg:str, chatbot:ChatBotWithCookies, history:list, delay:float=1, msg:str="正常"): # 刷新界面 +def update_ui_latest_msg(lastmsg:str, chatbot:ChatBotWithCookies, history:list, delay:float=1, msg:str="正常"): # 刷新界面 """ 刷新用户界面 """ @@ -679,7 +679,7 @@ def run_gradio_in_subpath(demo, auth, port, custom_path): return True if len(path) == 0: logger.info( - "ilegal custom path: {}\npath must not be empty\ndeploy on root url".format( + "illegal custom path: {}\npath must not be empty\ndeploy on root url".format( path ) ) @@ -690,14 +690,14 @@ def run_gradio_in_subpath(demo, auth, port, custom_path): return True return False logger.info( - "ilegal custom path: {}\npath should begin with '/'\ndeploy on root url".format( + "illegal custom path: {}\npath should begin with '/'\ndeploy on root url".format( path ) ) return False if not is_path_legal(custom_path): - raise RuntimeError("Ilegal custom path") + raise RuntimeError("Illegal custom path") import uvicorn import gradio as gr from fastapi import FastAPI