镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-07 06:56:48 +00:00
Merge branch 'frontier' of https://github.com/binary-husky/chatgpt_academic into frontier
这个提交包含在:
@@ -1,5 +1,5 @@
|
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from toolbox import update_ui, trimmed_format_exc, promote_file_to_downloadzone, get_log_folder
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from toolbox import CatchException, report_execption, write_history_to_file, zip_folder
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from toolbox import CatchException, report_exception, write_history_to_file, zip_folder
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class PaperFileGroup():
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@@ -11,7 +11,7 @@ class PaperFileGroup():
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self.sp_file_tag = []
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# count_token
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from request_llm.bridge_all import model_info
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from request_llms.bridge_all import model_info
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enc = model_info["gpt-3.5-turbo"]['tokenizer']
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def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
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self.get_token_num = get_token_num
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@@ -146,7 +146,7 @@ def Latex英文润色(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
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try:
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import tiktoken
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except:
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report_execption(chatbot, history,
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report_exception(chatbot, history,
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a=f"解析项目: {txt}",
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b=f"导入软件依赖失败。使用该模块需要额外依赖,安装方法```pip install --upgrade tiktoken```。")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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@@ -157,12 +157,12 @@ def Latex英文润色(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
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project_folder = txt
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else:
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if txt == "": txt = '空空如也的输入栏'
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)]
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if len(file_manifest) == 0:
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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yield from 多文件润色(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='en')
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@@ -184,7 +184,7 @@ def Latex中文润色(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
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try:
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import tiktoken
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except:
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report_execption(chatbot, history,
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report_exception(chatbot, history,
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a=f"解析项目: {txt}",
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b=f"导入软件依赖失败。使用该模块需要额外依赖,安装方法```pip install --upgrade tiktoken```。")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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@@ -195,12 +195,12 @@ def Latex中文润色(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
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project_folder = txt
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else:
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if txt == "": txt = '空空如也的输入栏'
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)]
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if len(file_manifest) == 0:
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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yield from 多文件润色(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='zh')
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@@ -220,7 +220,7 @@ def Latex英文纠错(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
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try:
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import tiktoken
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except:
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report_execption(chatbot, history,
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report_exception(chatbot, history,
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a=f"解析项目: {txt}",
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b=f"导入软件依赖失败。使用该模块需要额外依赖,安装方法```pip install --upgrade tiktoken```。")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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@@ -231,12 +231,12 @@ def Latex英文纠错(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
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project_folder = txt
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else:
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if txt == "": txt = '空空如也的输入栏'
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)]
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if len(file_manifest) == 0:
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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yield from 多文件润色(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='en', mode='proofread')
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@@ -1,5 +1,5 @@
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from toolbox import update_ui, promote_file_to_downloadzone
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from toolbox import CatchException, report_execption, write_history_to_file
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from toolbox import CatchException, report_exception, write_history_to_file
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fast_debug = False
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class PaperFileGroup():
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@@ -11,7 +11,7 @@ class PaperFileGroup():
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self.sp_file_tag = []
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# count_token
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from request_llm.bridge_all import model_info
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from request_llms.bridge_all import model_info
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enc = model_info["gpt-3.5-turbo"]['tokenizer']
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def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
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self.get_token_num = get_token_num
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@@ -117,7 +117,7 @@ def Latex英译中(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom
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try:
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import tiktoken
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except:
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report_execption(chatbot, history,
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report_exception(chatbot, history,
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a=f"解析项目: {txt}",
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b=f"导入软件依赖失败。使用该模块需要额外依赖,安装方法```pip install --upgrade tiktoken```。")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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@@ -128,12 +128,12 @@ def Latex英译中(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom
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project_folder = txt
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else:
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if txt == "": txt = '空空如也的输入栏'
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)]
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if len(file_manifest) == 0:
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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yield from 多文件翻译(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='en->zh')
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@@ -154,7 +154,7 @@ def Latex中译英(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom
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try:
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import tiktoken
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except:
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report_execption(chatbot, history,
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report_exception(chatbot, history,
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a=f"解析项目: {txt}",
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b=f"导入软件依赖失败。使用该模块需要额外依赖,安装方法```pip install --upgrade tiktoken```。")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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@@ -165,12 +165,12 @@ def Latex中译英(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom
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project_folder = txt
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else:
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if txt == "": txt = '空空如也的输入栏'
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)]
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if len(file_manifest) == 0:
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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yield from 多文件翻译(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='zh->en')
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@@ -1,5 +1,5 @@
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from toolbox import update_ui, trimmed_format_exc, get_conf, get_log_folder, promote_file_to_downloadzone
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from toolbox import CatchException, report_execption, update_ui_lastest_msg, zip_result, gen_time_str
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from toolbox import CatchException, report_exception, update_ui_lastest_msg, zip_result, gen_time_str
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from functools import partial
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import glob, os, requests, time
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pj = os.path.join
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@@ -129,7 +129,7 @@ def arxiv_download(chatbot, history, txt, allow_cache=True):
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yield from update_ui_lastest_msg("调用缓存", chatbot=chatbot, history=history) # 刷新界面
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else:
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yield from update_ui_lastest_msg("开始下载", chatbot=chatbot, history=history) # 刷新界面
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proxies, = get_conf('proxies')
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proxies = get_conf('proxies')
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r = requests.get(url_tar, proxies=proxies)
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with open(dst, 'wb+') as f:
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f.write(r.content)
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@@ -171,12 +171,12 @@ def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, histo
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project_folder = txt
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else:
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if txt == "": txt = '空空如也的输入栏'
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)]
|
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if len(file_manifest) == 0:
|
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
|
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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@@ -249,7 +249,7 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
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history = []
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txt, arxiv_id = yield from arxiv_download(chatbot, history, txt, allow_cache)
|
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if txt.endswith('.pdf'):
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"发现已经存在翻译好的PDF文档")
|
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"发现已经存在翻译好的PDF文档")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
|
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|
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@@ -258,13 +258,13 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
|
||||
project_folder = txt
|
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else:
|
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if txt == "": txt = '空空如也的输入栏'
|
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无法处理: {txt}")
|
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report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无法处理: {txt}")
|
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
|
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@@ -1,8 +1,8 @@
|
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from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, ProxyNetworkActivate
|
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from toolbox import report_execption, get_log_folder, update_ui_lastest_msg, Singleton
|
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from toolbox import report_exception, get_log_folder, update_ui_lastest_msg, Singleton
|
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from crazy_functions.agent_fns.pipe import PluginMultiprocessManager, PipeCom
|
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from crazy_functions.agent_fns.autogen_general import AutoGenGeneral
|
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import time
|
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from crazy_functions.agent_fns.general import AutoGenGeneral
|
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|
||||
|
||||
|
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class AutoGenMath(AutoGenGeneral):
|
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|
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@@ -1,85 +0,0 @@
|
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from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, ProxyNetworkActivate
|
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from toolbox import report_execption, get_log_folder, update_ui_lastest_msg, Singleton
|
||||
from crazy_functions.agent_fns.pipe import PluginMultiprocessManager, PipeCom
|
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import time
|
||||
|
||||
|
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class AutoGenGeneral(PluginMultiprocessManager):
|
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|
||||
def gpt_academic_print_override(self, user_proxy, message, sender):
|
||||
# ⭐⭐ 子进程执行
|
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self.child_conn.send(PipeCom("show", sender.name + '\n\n---\n\n' + message['content']))
|
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|
||||
def gpt_academic_get_human_input(self, user_proxy, message):
|
||||
# ⭐⭐ 子进程执行
|
||||
patience = 300
|
||||
begin_waiting_time = time.time()
|
||||
self.child_conn.send(PipeCom("interact", message))
|
||||
while True:
|
||||
time.sleep(0.5)
|
||||
if self.child_conn.poll():
|
||||
wait_success = True
|
||||
break
|
||||
if time.time() - begin_waiting_time > patience:
|
||||
self.child_conn.send(PipeCom("done", ""))
|
||||
wait_success = False
|
||||
break
|
||||
if wait_success:
|
||||
return self.child_conn.recv().content
|
||||
else:
|
||||
raise TimeoutError("等待用户输入超时")
|
||||
|
||||
def define_agents(self):
|
||||
raise NotImplementedError
|
||||
|
||||
def do_audogen(self, input):
|
||||
# ⭐⭐ 子进程执行
|
||||
input = input.content
|
||||
with ProxyNetworkActivate("AutoGen"):
|
||||
config_list = self.get_config_list()
|
||||
code_execution_config={"work_dir": self.autogen_work_dir, "use_docker":self.use_docker}
|
||||
agents = self.define_agents()
|
||||
user_proxy = None
|
||||
assistant = None
|
||||
for agent_kwargs in agents:
|
||||
agent_cls = agent_kwargs.pop('cls')
|
||||
kwargs = {
|
||||
'llm_config':{
|
||||
"config_list": config_list,
|
||||
},
|
||||
'code_execution_config':code_execution_config
|
||||
}
|
||||
kwargs.update(agent_kwargs)
|
||||
agent_handle = agent_cls(**kwargs)
|
||||
agent_handle._print_received_message = lambda a,b: self.gpt_academic_print_override(agent_kwargs, a, b)
|
||||
if agent_kwargs['name'] == 'user_proxy':
|
||||
agent_handle.get_human_input = lambda a: self.gpt_academic_get_human_input(user_proxy, a)
|
||||
user_proxy = agent_handle
|
||||
if agent_kwargs['name'] == 'assistant': assistant = agent_handle
|
||||
try:
|
||||
if user_proxy is None or assistant is None: raise Exception("用户代理或助理代理未定义")
|
||||
user_proxy.initiate_chat(assistant, message=input)
|
||||
except Exception as e:
|
||||
tb_str = '```\n' + trimmed_format_exc() + '```'
|
||||
self.child_conn.send(PipeCom("done", "AutoGen 执行失败: \n\n" + tb_str))
|
||||
|
||||
def get_config_list(self):
|
||||
model = self.llm_kwargs['llm_model']
|
||||
api_base = None
|
||||
if self.llm_kwargs['llm_model'].startswith('api2d-'):
|
||||
model = self.llm_kwargs['llm_model'][len('api2d-'):]
|
||||
api_base = "https://openai.api2d.net/v1"
|
||||
config_list = [{
|
||||
'model': model,
|
||||
'api_key': self.llm_kwargs['api_key'],
|
||||
},]
|
||||
if api_base is not None:
|
||||
config_list[0]['api_base'] = api_base
|
||||
return config_list
|
||||
|
||||
def subprocess_worker(self, child_conn):
|
||||
# ⭐⭐ 子进程执行
|
||||
self.child_conn = child_conn
|
||||
while True:
|
||||
msg = self.child_conn.recv() # PipeCom
|
||||
self.do_audogen(msg)
|
||||
134
crazy_functions/agent_fns/general.py
普通文件
134
crazy_functions/agent_fns/general.py
普通文件
@@ -0,0 +1,134 @@
|
||||
from toolbox import trimmed_format_exc, get_conf, ProxyNetworkActivate
|
||||
from crazy_functions.agent_fns.pipe import PluginMultiprocessManager, PipeCom
|
||||
from request_llms.bridge_all import predict_no_ui_long_connection
|
||||
import time
|
||||
|
||||
def gpt_academic_generate_oai_reply(
|
||||
self,
|
||||
messages,
|
||||
sender,
|
||||
config,
|
||||
):
|
||||
llm_config = self.llm_config if config is None else config
|
||||
if llm_config is False:
|
||||
return False, None
|
||||
if messages is None:
|
||||
messages = self._oai_messages[sender]
|
||||
|
||||
inputs = messages[-1]['content']
|
||||
history = []
|
||||
for message in messages[:-1]:
|
||||
history.append(message['content'])
|
||||
context=messages[-1].pop("context", None)
|
||||
assert context is None, "预留参数 context 未实现"
|
||||
|
||||
reply = predict_no_ui_long_connection(
|
||||
inputs=inputs,
|
||||
llm_kwargs=llm_config,
|
||||
history=history,
|
||||
sys_prompt=self._oai_system_message[0]['content'],
|
||||
console_slience=True
|
||||
)
|
||||
assumed_done = reply.endswith('\nTERMINATE')
|
||||
return True, reply
|
||||
|
||||
class AutoGenGeneral(PluginMultiprocessManager):
|
||||
def gpt_academic_print_override(self, user_proxy, message, sender):
|
||||
# ⭐⭐ run in subprocess
|
||||
self.child_conn.send(PipeCom("show", sender.name + "\n\n---\n\n" + message["content"]))
|
||||
|
||||
def gpt_academic_get_human_input(self, user_proxy, message):
|
||||
# ⭐⭐ run in subprocess
|
||||
patience = 300
|
||||
begin_waiting_time = time.time()
|
||||
self.child_conn.send(PipeCom("interact", message))
|
||||
while True:
|
||||
time.sleep(0.5)
|
||||
if self.child_conn.poll():
|
||||
wait_success = True
|
||||
break
|
||||
if time.time() - begin_waiting_time > patience:
|
||||
self.child_conn.send(PipeCom("done", ""))
|
||||
wait_success = False
|
||||
break
|
||||
if wait_success:
|
||||
return self.child_conn.recv().content
|
||||
else:
|
||||
raise TimeoutError("等待用户输入超时")
|
||||
|
||||
def define_agents(self):
|
||||
raise NotImplementedError
|
||||
|
||||
def exe_autogen(self, input):
|
||||
# ⭐⭐ run in subprocess
|
||||
input = input.content
|
||||
with ProxyNetworkActivate("AutoGen"):
|
||||
code_execution_config = {"work_dir": self.autogen_work_dir, "use_docker": self.use_docker}
|
||||
agents = self.define_agents()
|
||||
user_proxy = None
|
||||
assistant = None
|
||||
for agent_kwargs in agents:
|
||||
agent_cls = agent_kwargs.pop('cls')
|
||||
kwargs = {
|
||||
'llm_config':self.llm_kwargs,
|
||||
'code_execution_config':code_execution_config
|
||||
}
|
||||
kwargs.update(agent_kwargs)
|
||||
agent_handle = agent_cls(**kwargs)
|
||||
agent_handle._print_received_message = lambda a,b: self.gpt_academic_print_override(agent_kwargs, a, b)
|
||||
for d in agent_handle._reply_func_list:
|
||||
if hasattr(d['reply_func'],'__name__') and d['reply_func'].__name__ == 'generate_oai_reply':
|
||||
d['reply_func'] = gpt_academic_generate_oai_reply
|
||||
if agent_kwargs['name'] == 'user_proxy':
|
||||
agent_handle.get_human_input = lambda a: self.gpt_academic_get_human_input(user_proxy, a)
|
||||
user_proxy = agent_handle
|
||||
if agent_kwargs['name'] == 'assistant': assistant = agent_handle
|
||||
try:
|
||||
if user_proxy is None or assistant is None: raise Exception("用户代理或助理代理未定义")
|
||||
user_proxy.initiate_chat(assistant, message=input)
|
||||
except Exception as e:
|
||||
tb_str = '```\n' + trimmed_format_exc() + '```'
|
||||
self.child_conn.send(PipeCom("done", "AutoGen 执行失败: \n\n" + tb_str))
|
||||
|
||||
def subprocess_worker(self, child_conn):
|
||||
# ⭐⭐ run in subprocess
|
||||
self.child_conn = child_conn
|
||||
while True:
|
||||
msg = self.child_conn.recv() # PipeCom
|
||||
self.exe_autogen(msg)
|
||||
|
||||
|
||||
class AutoGenGroupChat(AutoGenGeneral):
|
||||
def exe_autogen(self, input):
|
||||
# ⭐⭐ run in subprocess
|
||||
import autogen
|
||||
|
||||
input = input.content
|
||||
with ProxyNetworkActivate("AutoGen"):
|
||||
code_execution_config = {"work_dir": self.autogen_work_dir, "use_docker": self.use_docker}
|
||||
agents = self.define_agents()
|
||||
agents_instances = []
|
||||
for agent_kwargs in agents:
|
||||
agent_cls = agent_kwargs.pop("cls")
|
||||
kwargs = {"code_execution_config": code_execution_config}
|
||||
kwargs.update(agent_kwargs)
|
||||
agent_handle = agent_cls(**kwargs)
|
||||
agent_handle._print_received_message = lambda a, b: self.gpt_academic_print_override(agent_kwargs, a, b)
|
||||
agents_instances.append(agent_handle)
|
||||
if agent_kwargs["name"] == "user_proxy":
|
||||
user_proxy = agent_handle
|
||||
user_proxy.get_human_input = lambda a: self.gpt_academic_get_human_input(user_proxy, a)
|
||||
try:
|
||||
groupchat = autogen.GroupChat(agents=agents_instances, messages=[], max_round=50)
|
||||
manager = autogen.GroupChatManager(groupchat=groupchat, **self.define_group_chat_manager_config())
|
||||
manager._print_received_message = lambda a, b: self.gpt_academic_print_override(agent_kwargs, a, b)
|
||||
manager.get_human_input = lambda a: self.gpt_academic_get_human_input(manager, a)
|
||||
if user_proxy is None:
|
||||
raise Exception("user_proxy is not defined")
|
||||
user_proxy.initiate_chat(manager, message=input)
|
||||
except Exception:
|
||||
tb_str = "```\n" + trimmed_format_exc() + "```"
|
||||
self.child_conn.send(PipeCom("done", "AutoGen exe failed: \n\n" + tb_str))
|
||||
|
||||
def define_group_chat_manager_config(self):
|
||||
raise NotImplementedError
|
||||
@@ -2,28 +2,28 @@ from toolbox import get_log_folder, update_ui, gen_time_str, get_conf, promote_f
|
||||
from crazy_functions.agent_fns.watchdog import WatchDog
|
||||
import time, os
|
||||
|
||||
class PipeCom():
|
||||
class PipeCom:
|
||||
def __init__(self, cmd, content) -> None:
|
||||
self.cmd = cmd
|
||||
self.content = content
|
||||
|
||||
|
||||
class PluginMultiprocessManager():
|
||||
class PluginMultiprocessManager:
|
||||
def __init__(self, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
|
||||
# ⭐ 主进程
|
||||
self.autogen_work_dir = os.path.join(get_log_folder('autogen'), gen_time_str())
|
||||
# ⭐ run in main process
|
||||
self.autogen_work_dir = os.path.join(get_log_folder("autogen"), gen_time_str())
|
||||
self.previous_work_dir_files = {}
|
||||
self.llm_kwargs = llm_kwargs
|
||||
self.plugin_kwargs = plugin_kwargs
|
||||
self.chatbot = chatbot
|
||||
self.history = history
|
||||
self.system_prompt = system_prompt
|
||||
self.web_port = web_port
|
||||
# self.web_port = web_port
|
||||
self.alive = True
|
||||
self.use_docker, = get_conf('AUTOGEN_USE_DOCKER')
|
||||
|
||||
self.use_docker = get_conf("AUTOGEN_USE_DOCKER")
|
||||
self.last_user_input = ""
|
||||
# create a thread to monitor self.heartbeat, terminate the instance if no heartbeat for a long time
|
||||
timeout_seconds = 5*60
|
||||
timeout_seconds = 5 * 60
|
||||
self.heartbeat_watchdog = WatchDog(timeout=timeout_seconds, bark_fn=self.terminate, interval=5)
|
||||
self.heartbeat_watchdog.begin_watch()
|
||||
|
||||
@@ -35,8 +35,9 @@ class PluginMultiprocessManager():
|
||||
return self.alive
|
||||
|
||||
def launch_subprocess_with_pipe(self):
|
||||
# ⭐ 主进程
|
||||
# ⭐ run in main process
|
||||
from multiprocessing import Process, Pipe
|
||||
|
||||
parent_conn, child_conn = Pipe()
|
||||
self.p = Process(target=self.subprocess_worker, args=(child_conn,))
|
||||
self.p.daemon = True
|
||||
@@ -46,15 +47,22 @@ class PluginMultiprocessManager():
|
||||
def terminate(self):
|
||||
self.p.terminate()
|
||||
self.alive = False
|
||||
print('[debug] instance terminated')
|
||||
print("[debug] instance terminated")
|
||||
|
||||
def subprocess_worker(self, child_conn):
|
||||
# ⭐⭐ 子进程
|
||||
# ⭐⭐ run in subprocess
|
||||
raise NotImplementedError
|
||||
|
||||
def send_command(self, cmd):
|
||||
# ⭐ 主进程
|
||||
# ⭐ run in main process
|
||||
repeated = False
|
||||
if cmd == self.last_user_input:
|
||||
repeated = True
|
||||
cmd = ""
|
||||
else:
|
||||
self.last_user_input = cmd
|
||||
self.parent_conn.send(PipeCom("user_input", cmd))
|
||||
return repeated, cmd
|
||||
|
||||
def immediate_showoff_when_possible(self, fp):
|
||||
# ⭐ 主进程
|
||||
@@ -63,7 +71,10 @@ class PluginMultiprocessManager():
|
||||
# 如果是文本文件, 则直接显示文本内容
|
||||
if file_type.lower() in ['png', 'jpg']:
|
||||
image_path = os.path.abspath(fp)
|
||||
self.chatbot.append(['检测到新生图像:', f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>'])
|
||||
self.chatbot.append([
|
||||
'检测到新生图像:',
|
||||
f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>'
|
||||
])
|
||||
yield from update_ui(chatbot=self.chatbot, history=self.history)
|
||||
|
||||
def overwatch_workdir_file_change(self):
|
||||
@@ -78,7 +89,7 @@ class PluginMultiprocessManager():
|
||||
file_path = os.path.join(root, file)
|
||||
if file_path not in self.previous_work_dir_files.keys():
|
||||
last_modified_time = os.stat(file_path).st_mtime
|
||||
self.previous_work_dir_files.update({file_path:last_modified_time})
|
||||
self.previous_work_dir_files.update({file_path: last_modified_time})
|
||||
change_list.append(file_path)
|
||||
else:
|
||||
last_modified_time = os.stat(file_path).st_mtime
|
||||
@@ -86,11 +97,11 @@ class PluginMultiprocessManager():
|
||||
self.previous_work_dir_files[file_path] = last_modified_time
|
||||
change_list.append(file_path)
|
||||
if len(change_list) > 0:
|
||||
file_links = ''
|
||||
for f in change_list:
|
||||
file_links = ""
|
||||
for f in change_list:
|
||||
res = promote_file_to_downloadzone(f)
|
||||
file_links += f'<br/><a href="file={res}" target="_blank">{res}</a>'
|
||||
yield from self.immediate_showoff_when_possible(file_path)
|
||||
yield from self.immediate_showoff_when_possible(f)
|
||||
|
||||
self.chatbot.append(['检测到新生文档.', f'文档清单如下: {file_links}'])
|
||||
yield from update_ui(chatbot=self.chatbot, history=self.history)
|
||||
@@ -102,7 +113,7 @@ class PluginMultiprocessManager():
|
||||
if create_or_resume == 'create':
|
||||
self.cnt = 1
|
||||
self.parent_conn = self.launch_subprocess_with_pipe() # ⭐⭐⭐
|
||||
self.send_command(txt)
|
||||
repeated, cmd_to_autogen = self.send_command(txt)
|
||||
if txt == 'exit':
|
||||
self.chatbot.append([f"结束", "结束信号已明确,终止AutoGen程序。"])
|
||||
yield from update_ui(chatbot=self.chatbot, history=self.history)
|
||||
@@ -117,19 +128,27 @@ class PluginMultiprocessManager():
|
||||
# the heartbeat watchdog might have it killed
|
||||
self.terminate()
|
||||
return "terminate"
|
||||
|
||||
if self.parent_conn.poll():
|
||||
self.feed_heartbeat_watchdog()
|
||||
if "[GPT-Academic] 等待中" in self.chatbot[-1][-1]:
|
||||
self.chatbot.pop(-1) # remove the last line
|
||||
if "等待您的进一步指令" in self.chatbot[-1][-1]:
|
||||
self.chatbot.pop(-1) # remove the last line
|
||||
if '[GPT-Academic] 等待中' in self.chatbot[-1][-1]:
|
||||
self.chatbot.pop(-1) # remove the last line
|
||||
msg = self.parent_conn.recv() # PipeCom
|
||||
if msg.cmd == "done":
|
||||
self.chatbot.append([f"结束", msg.content]); self.cnt += 1
|
||||
self.chatbot.append([f"结束", msg.content])
|
||||
self.cnt += 1
|
||||
yield from update_ui(chatbot=self.chatbot, history=self.history)
|
||||
self.terminate(); break
|
||||
self.terminate()
|
||||
break
|
||||
if msg.cmd == "show":
|
||||
yield from self.overwatch_workdir_file_change()
|
||||
self.chatbot.append([f"运行阶段-{self.cnt}", msg.content]); self.cnt += 1
|
||||
notice = ""
|
||||
if repeated: notice = "(自动忽略重复的输入)"
|
||||
self.chatbot.append([f"运行阶段-{self.cnt}(上次用户反馈输入为: 「{cmd_to_autogen}」{notice}", msg.content])
|
||||
self.cnt += 1
|
||||
yield from update_ui(chatbot=self.chatbot, history=self.history)
|
||||
if msg.cmd == "interact":
|
||||
yield from self.overwatch_workdir_file_change()
|
||||
@@ -159,13 +178,13 @@ class PluginMultiprocessManager():
|
||||
return "terminate"
|
||||
|
||||
def subprocess_worker_wait_user_feedback(self, wait_msg="wait user feedback"):
|
||||
# ⭐⭐ 子进程
|
||||
# ⭐⭐ run in subprocess
|
||||
patience = 5 * 60
|
||||
begin_waiting_time = time.time()
|
||||
self.child_conn.send(PipeCom("interact", wait_msg))
|
||||
while True:
|
||||
time.sleep(0.5)
|
||||
if self.child_conn.poll():
|
||||
if self.child_conn.poll():
|
||||
wait_success = True
|
||||
break
|
||||
if time.time() - begin_waiting_time > patience:
|
||||
@@ -173,4 +192,3 @@ class PluginMultiprocessManager():
|
||||
wait_success = False
|
||||
break
|
||||
return wait_success
|
||||
|
||||
|
||||
@@ -5,7 +5,7 @@ import logging
|
||||
|
||||
def input_clipping(inputs, history, max_token_limit):
|
||||
import numpy as np
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
enc = model_info["gpt-3.5-turbo"]['tokenizer']
|
||||
def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
|
||||
|
||||
@@ -63,7 +63,7 @@ def request_gpt_model_in_new_thread_with_ui_alive(
|
||||
"""
|
||||
import time
|
||||
from concurrent.futures import ThreadPoolExecutor
|
||||
from request_llm.bridge_all import predict_no_ui_long_connection
|
||||
from request_llms.bridge_all import predict_no_ui_long_connection
|
||||
# 用户反馈
|
||||
chatbot.append([inputs_show_user, ""])
|
||||
yield from update_ui(chatbot=chatbot, history=[]) # 刷新界面
|
||||
@@ -177,11 +177,11 @@ def request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
|
||||
"""
|
||||
import time, random
|
||||
from concurrent.futures import ThreadPoolExecutor
|
||||
from request_llm.bridge_all import predict_no_ui_long_connection
|
||||
from request_llms.bridge_all import predict_no_ui_long_connection
|
||||
assert len(inputs_array) == len(history_array)
|
||||
assert len(inputs_array) == len(sys_prompt_array)
|
||||
if max_workers == -1: # 读取配置文件
|
||||
try: max_workers, = get_conf('DEFAULT_WORKER_NUM')
|
||||
try: max_workers = get_conf('DEFAULT_WORKER_NUM')
|
||||
except: max_workers = 8
|
||||
if max_workers <= 0: max_workers = 3
|
||||
# 屏蔽掉 chatglm的多线程,可能会导致严重卡顿
|
||||
@@ -603,7 +603,7 @@ def get_files_from_everything(txt, type): # type='.md'
|
||||
import requests
|
||||
from toolbox import get_conf
|
||||
from toolbox import get_log_folder, gen_time_str
|
||||
proxies, = get_conf('proxies')
|
||||
proxies = get_conf('proxies')
|
||||
try:
|
||||
r = requests.get(txt, proxies=proxies)
|
||||
except:
|
||||
|
||||
@@ -174,7 +174,7 @@ class LatexPaperFileGroup():
|
||||
self.sp_file_tag = []
|
||||
|
||||
# count_token
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
enc = model_info["gpt-3.5-turbo"]['tokenizer']
|
||||
def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
|
||||
self.get_token_num = get_token_num
|
||||
|
||||
@@ -0,0 +1,45 @@
|
||||
from pydantic import BaseModel, Field
|
||||
from typing import List
|
||||
from toolbox import update_ui_lastest_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 time
|
||||
import pickle
|
||||
|
||||
def have_any_recent_upload_files(chatbot):
|
||||
_5min = 5 * 60
|
||||
if not chatbot: return False # chatbot is None
|
||||
most_recent_uploaded = chatbot._cookies.get("most_recent_uploaded", None)
|
||||
if not most_recent_uploaded: return False # most_recent_uploaded is None
|
||||
if time.time() - most_recent_uploaded["time"] < _5min: return True # most_recent_uploaded is new
|
||||
else: return False # most_recent_uploaded is too old
|
||||
|
||||
class GptAcademicState():
|
||||
def __init__(self):
|
||||
self.reset()
|
||||
|
||||
def reset(self):
|
||||
pass
|
||||
|
||||
def lock_plugin(self, chatbot):
|
||||
chatbot._cookies['plugin_state'] = pickle.dumps(self)
|
||||
|
||||
def unlock_plugin(self, chatbot):
|
||||
self.reset()
|
||||
chatbot._cookies['plugin_state'] = pickle.dumps(self)
|
||||
|
||||
def set_state(self, chatbot, key, value):
|
||||
setattr(self, key, value)
|
||||
chatbot._cookies['plugin_state'] = pickle.dumps(self)
|
||||
|
||||
def get_state(chatbot, cls=None):
|
||||
state = chatbot._cookies.get('plugin_state', None)
|
||||
if state is not None: state = pickle.loads(state)
|
||||
elif cls is not None: state = cls()
|
||||
else: state = GptAcademicState()
|
||||
state.chatbot = chatbot
|
||||
return state
|
||||
|
||||
class GatherMaterials():
|
||||
def __init__(self, materials) -> None:
|
||||
materials = ['image', 'prompt']
|
||||
@@ -14,7 +14,7 @@ import math
|
||||
class GROBID_OFFLINE_EXCEPTION(Exception): pass
|
||||
|
||||
def get_avail_grobid_url():
|
||||
GROBID_URLS, = get_conf('GROBID_URLS')
|
||||
GROBID_URLS = get_conf('GROBID_URLS')
|
||||
if len(GROBID_URLS) == 0: return None
|
||||
try:
|
||||
_grobid_url = random.choice(GROBID_URLS) # 随机负载均衡
|
||||
@@ -82,7 +82,7 @@ def translate_pdf(article_dict, llm_kwargs, chatbot, fp, generated_conclusion_fi
|
||||
# title
|
||||
title = article_dict.get('title', '无法获取 title'); prompt += f'title:{title}\n\n'
|
||||
# authors
|
||||
authors = article_dict.get('authors', '无法获取 authors'); prompt += f'authors:{authors}\n\n'
|
||||
authors = article_dict.get('authors', '无法获取 authors')[:100]; prompt += f'authors:{authors}\n\n'
|
||||
# abstract
|
||||
abstract = article_dict.get('abstract', '无法获取 abstract'); prompt += f'abstract:{abstract}\n\n'
|
||||
# command
|
||||
@@ -103,7 +103,7 @@ def translate_pdf(article_dict, llm_kwargs, chatbot, fp, generated_conclusion_fi
|
||||
inputs_show_user_array = []
|
||||
|
||||
# get_token_num
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
enc = model_info[llm_kwargs['llm_model']]['tokenizer']
|
||||
def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from pydantic import BaseModel, Field
|
||||
from typing import List
|
||||
from toolbox import update_ui_lastest_msg, disable_auto_promotion
|
||||
from request_llm.bridge_all import predict_no_ui_long_connection
|
||||
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
|
||||
|
||||
|
||||
@@ -1,13 +1,13 @@
|
||||
from pydantic import BaseModel, Field
|
||||
from typing import List
|
||||
from toolbox import update_ui_lastest_msg, get_conf
|
||||
from request_llm.bridge_all import predict_no_ui_long_connection
|
||||
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
|
||||
|
||||
|
||||
def modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention):
|
||||
ALLOW_RESET_CONFIG, = get_conf('ALLOW_RESET_CONFIG')
|
||||
ALLOW_RESET_CONFIG = get_conf('ALLOW_RESET_CONFIG')
|
||||
if not ALLOW_RESET_CONFIG:
|
||||
yield from update_ui_lastest_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。",
|
||||
@@ -66,7 +66,7 @@ def modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
|
||||
)
|
||||
|
||||
def modify_configuration_reboot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention):
|
||||
ALLOW_RESET_CONFIG, = get_conf('ALLOW_RESET_CONFIG')
|
||||
ALLOW_RESET_CONFIG = get_conf('ALLOW_RESET_CONFIG')
|
||||
if not ALLOW_RESET_CONFIG:
|
||||
yield from update_ui_lastest_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。",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
from toolbox import update_ui, get_log_folder
|
||||
from toolbox import write_history_to_file, promote_file_to_downloadzone
|
||||
from toolbox import CatchException, report_execption, get_conf
|
||||
from toolbox import CatchException, report_exception, get_conf
|
||||
import re, requests, unicodedata, os
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
def download_arxiv_(url_pdf):
|
||||
@@ -43,7 +43,7 @@ def download_arxiv_(url_pdf):
|
||||
file_path = download_dir+title_str
|
||||
|
||||
print('下载中')
|
||||
proxies, = get_conf('proxies')
|
||||
proxies = get_conf('proxies')
|
||||
r = requests.get(requests_pdf_url, proxies=proxies)
|
||||
with open(file_path, 'wb+') as f:
|
||||
f.write(r.content)
|
||||
@@ -77,7 +77,7 @@ def get_name(_url_):
|
||||
# print('在缓存中')
|
||||
# return arxiv_recall[_url_]
|
||||
|
||||
proxies, = get_conf('proxies')
|
||||
proxies = get_conf('proxies')
|
||||
res = requests.get(_url_, proxies=proxies)
|
||||
|
||||
bs = BeautifulSoup(res.text, 'html.parser')
|
||||
@@ -144,7 +144,7 @@ def 下载arxiv论文并翻译摘要(txt, llm_kwargs, plugin_kwargs, chatbot, hi
|
||||
try:
|
||||
import bs4
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a = f"解析项目: {txt}",
|
||||
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 beautifulsoup4```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -157,7 +157,7 @@ def 下载arxiv论文并翻译摘要(txt, llm_kwargs, plugin_kwargs, chatbot, hi
|
||||
try:
|
||||
pdf_path, info = download_arxiv_(txt)
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a = f"解析项目: {txt}",
|
||||
b = f"下载pdf文件未成功")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
|
||||
@@ -1,13 +1,12 @@
|
||||
from toolbox import CatchException, update_ui, get_conf, select_api_key, get_log_folder
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
import datetime
|
||||
from crazy_functions.multi_stage.multi_stage_utils import GptAcademicState
|
||||
|
||||
|
||||
def gen_image(llm_kwargs, prompt, resolution="256x256"):
|
||||
def gen_image(llm_kwargs, prompt, resolution="1024x1024", model="dall-e-2", quality=None):
|
||||
import requests, json, time, os
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
|
||||
proxies, = get_conf('proxies')
|
||||
proxies = get_conf('proxies')
|
||||
# Set up OpenAI API key and model
|
||||
api_key = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model'])
|
||||
chat_endpoint = model_info[llm_kwargs['llm_model']]['endpoint']
|
||||
@@ -23,6 +22,48 @@ def gen_image(llm_kwargs, prompt, resolution="256x256"):
|
||||
'prompt': prompt,
|
||||
'n': 1,
|
||||
'size': resolution,
|
||||
'model': model,
|
||||
'response_format': 'url'
|
||||
}
|
||||
if quality is not None: data.update({'quality': quality})
|
||||
response = requests.post(url, headers=headers, json=data, proxies=proxies)
|
||||
print(response.content)
|
||||
try:
|
||||
image_url = json.loads(response.content.decode('utf8'))['data'][0]['url']
|
||||
except:
|
||||
raise RuntimeError(response.content.decode())
|
||||
# 文件保存到本地
|
||||
r = requests.get(image_url, proxies=proxies)
|
||||
file_path = f'{get_log_folder()}/image_gen/'
|
||||
os.makedirs(file_path, exist_ok=True)
|
||||
file_name = 'Image' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.png'
|
||||
with open(file_path+file_name, 'wb+') as f: f.write(r.content)
|
||||
|
||||
|
||||
return image_url, file_path+file_name
|
||||
|
||||
|
||||
def edit_image(llm_kwargs, prompt, image_path, resolution="1024x1024", model="dall-e-2"):
|
||||
import requests, json, time, os
|
||||
from request_llms.bridge_all import model_info
|
||||
|
||||
proxies = get_conf('proxies')
|
||||
api_key = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model'])
|
||||
chat_endpoint = model_info[llm_kwargs['llm_model']]['endpoint']
|
||||
# 'https://api.openai.com/v1/chat/completions'
|
||||
img_endpoint = chat_endpoint.replace('chat/completions','images/edits')
|
||||
# # Generate the image
|
||||
url = img_endpoint
|
||||
headers = {
|
||||
'Authorization': f"Bearer {api_key}",
|
||||
'Content-Type': 'application/json'
|
||||
}
|
||||
data = {
|
||||
'image': open(image_path, 'rb'),
|
||||
'prompt': prompt,
|
||||
'n': 1,
|
||||
'size': resolution,
|
||||
'model': model,
|
||||
'response_format': 'url'
|
||||
}
|
||||
response = requests.post(url, headers=headers, json=data, proxies=proxies)
|
||||
@@ -42,23 +83,22 @@ def gen_image(llm_kwargs, prompt, resolution="256x256"):
|
||||
return image_url, file_path+file_name
|
||||
|
||||
|
||||
|
||||
@CatchException
|
||||
def 图片生成(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
|
||||
def 图片生成_DALLE2(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
|
||||
"""
|
||||
txt 输入栏用户输入的文本,例如需要翻译的一段话,再例如一个包含了待处理文件的路径
|
||||
llm_kwargs gpt模型参数,如温度和top_p等,一般原样传递下去就行
|
||||
plugin_kwargs 插件模型的参数,暂时没有用武之地
|
||||
chatbot 聊天显示框的句柄,用于显示给用户
|
||||
history 聊天历史,前情提要
|
||||
txt 输入栏用户输入的文本,例如需要翻译的一段话,再例如一个包含了待处理文件的路径
|
||||
llm_kwargs gpt模型参数,如温度和top_p等,一般原样传递下去就行
|
||||
plugin_kwargs 插件模型的参数,暂时没有用武之地
|
||||
chatbot 聊天显示框的句柄,用于显示给用户
|
||||
history 聊天历史,前情提要
|
||||
system_prompt 给gpt的静默提醒
|
||||
web_port 当前软件运行的端口号
|
||||
"""
|
||||
history = [] # 清空历史,以免输入溢出
|
||||
chatbot.append(("这是什么功能?", "[Local Message] 生成图像, 请先把模型切换至gpt-*或者api2d-*。如果中文效果不理想, 请尝试英文Prompt。正在处理中 ....."))
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 由于请求gpt需要一段时间,我们先及时地做一次界面更新
|
||||
history = [] # 清空历史,以免输入溢出
|
||||
chatbot.append(("您正在调用“图像生成”插件。", "[Local Message] 生成图像, 请先把模型切换至gpt-*或者api2d-*。如果中文Prompt效果不理想, 请尝试英文Prompt。正在处理中 ....."))
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 由于请求gpt需要一段时间,我们先及时地做一次界面更新
|
||||
if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
|
||||
resolution = plugin_kwargs.get("advanced_arg", '256x256')
|
||||
resolution = plugin_kwargs.get("advanced_arg", '1024x1024')
|
||||
image_url, image_path = gen_image(llm_kwargs, prompt, resolution)
|
||||
chatbot.append([prompt,
|
||||
f'图像中转网址: <br/>`{image_url}`<br/>'+
|
||||
@@ -66,4 +106,99 @@ def 图片生成(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
|
||||
f'本地文件地址: <br/>`{image_path}`<br/>'+
|
||||
f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>'
|
||||
])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
|
||||
|
||||
|
||||
@CatchException
|
||||
def 图片生成_DALLE3(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
|
||||
history = [] # 清空历史,以免输入溢出
|
||||
chatbot.append(("您正在调用“图像生成”插件。", "[Local Message] 生成图像, 请先把模型切换至gpt-*或者api2d-*。如果中文Prompt效果不理想, 请尝试英文Prompt。正在处理中 ....."))
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 由于请求gpt需要一段时间,我们先及时地做一次界面更新
|
||||
if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
|
||||
resolution = plugin_kwargs.get("advanced_arg", '1024x1024').lower()
|
||||
if resolution.endswith('-hd'):
|
||||
resolution = resolution.replace('-hd', '')
|
||||
quality = 'hd'
|
||||
else:
|
||||
quality = 'standard'
|
||||
image_url, image_path = gen_image(llm_kwargs, prompt, resolution, model="dall-e-3", quality=quality)
|
||||
chatbot.append([prompt,
|
||||
f'图像中转网址: <br/>`{image_url}`<br/>'+
|
||||
f'中转网址预览: <br/><div align="center"><img src="{image_url}"></div>'
|
||||
f'本地文件地址: <br/>`{image_path}`<br/>'+
|
||||
f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>'
|
||||
])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
|
||||
|
||||
class ImageEditState(GptAcademicState):
|
||||
# 尚未完成
|
||||
def get_image_file(self, x):
|
||||
import os, glob
|
||||
if len(x) == 0: return False, None
|
||||
if not os.path.exists(x): return False, None
|
||||
if x.endswith('.png'): return True, x
|
||||
file_manifest = [f for f in glob.glob(f'{x}/**/*.png', recursive=True)]
|
||||
confirm = (len(file_manifest) >= 1 and file_manifest[0].endswith('.png') and os.path.exists(file_manifest[0]))
|
||||
file = None if not confirm else file_manifest[0]
|
||||
return confirm, file
|
||||
|
||||
def get_resolution(self, x):
|
||||
return (x in ['256x256', '512x512', '1024x1024']), x
|
||||
|
||||
def get_prompt(self, x):
|
||||
confirm = (len(x)>=5) and (not self.get_resolution(x)[0]) and (not self.get_image_file(x)[0])
|
||||
return confirm, x
|
||||
|
||||
def reset(self):
|
||||
self.req = [
|
||||
{'value':None, 'description': '请先上传图像(必须是.png格式), 然后再次点击本插件', 'verify_fn': self.get_image_file},
|
||||
{'value':None, 'description': '请输入分辨率,可选:256x256, 512x512 或 1024x1024', 'verify_fn': self.get_resolution},
|
||||
{'value':None, 'description': '请输入修改需求,建议您使用英文提示词', 'verify_fn': self.get_prompt},
|
||||
]
|
||||
self.info = ""
|
||||
|
||||
def feed(self, prompt, chatbot):
|
||||
for r in self.req:
|
||||
if r['value'] is None:
|
||||
confirm, res = r['verify_fn'](prompt)
|
||||
if confirm:
|
||||
r['value'] = res
|
||||
self.set_state(chatbot, 'dummy_key', 'dummy_value')
|
||||
break
|
||||
return self
|
||||
|
||||
def next_req(self):
|
||||
for r in self.req:
|
||||
if r['value'] is None:
|
||||
return r['description']
|
||||
return "已经收集到所有信息"
|
||||
|
||||
def already_obtained_all_materials(self):
|
||||
return all([x['value'] is not None for x in self.req])
|
||||
|
||||
@CatchException
|
||||
def 图片修改_DALLE2(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
|
||||
# 尚未完成
|
||||
history = [] # 清空历史
|
||||
state = ImageEditState.get_state(chatbot, ImageEditState)
|
||||
state = state.feed(prompt, chatbot)
|
||||
if not state.already_obtained_all_materials():
|
||||
chatbot.append(["图片修改(先上传图片,再输入修改需求,最后输入分辨率)", state.next_req()])
|
||||
yield from update_ui(chatbot=chatbot, history=history)
|
||||
return
|
||||
|
||||
image_path = state.req[0]
|
||||
resolution = state.req[1]
|
||||
prompt = state.req[2]
|
||||
chatbot.append(["图片修改, 执行中", f"图片:`{image_path}`<br/>分辨率:`{resolution}`<br/>修改需求:`{prompt}`"])
|
||||
yield from update_ui(chatbot=chatbot, history=history)
|
||||
|
||||
image_url, image_path = edit_image(llm_kwargs, prompt, image_path, resolution)
|
||||
chatbot.append([state.prompt,
|
||||
f'图像中转网址: <br/>`{image_url}`<br/>'+
|
||||
f'中转网址预览: <br/><div align="center"><img src="{image_url}"></div>'
|
||||
f'本地文件地址: <br/>`{image_path}`<br/>'+
|
||||
f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>'
|
||||
])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
|
||||
|
||||
|
||||
@@ -3,11 +3,6 @@
|
||||
测试:
|
||||
- show me the solution of $x^2=cos(x)$, solve this problem with figure, and plot and save image to t.jpg
|
||||
|
||||
Testing:
|
||||
- Crop the image, keeping the bottom half.
|
||||
- Swap the blue channel and red channel of the image.
|
||||
- Convert the image to grayscale.
|
||||
- Convert the CSV file to an Excel spreadsheet.
|
||||
"""
|
||||
|
||||
|
||||
@@ -19,6 +14,11 @@ from crazy_functions.agent_fns.persistent import GradioMultiuserManagerForPersis
|
||||
from crazy_functions.agent_fns.auto_agent import AutoGenMath
|
||||
import time
|
||||
|
||||
def remove_model_prefix(llm):
|
||||
if llm.startswith('api2d-'): llm = llm.replace('api2d-', '')
|
||||
if llm.startswith('azure-'): llm = llm.replace('azure-', '')
|
||||
return llm
|
||||
|
||||
|
||||
@CatchException
|
||||
def 多智能体终端(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
|
||||
@@ -32,16 +32,27 @@ def 多智能体终端(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_
|
||||
web_port 当前软件运行的端口号
|
||||
"""
|
||||
# 检查当前的模型是否符合要求
|
||||
supported_llms = ['gpt-3.5-turbo-16k', 'gpt-4', 'gpt-4-32k',
|
||||
'api2d-gpt-3.5-turbo-16k', 'api2d-gpt-4']
|
||||
llm_kwargs['api_key'] = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model'])
|
||||
if llm_kwargs['llm_model'] not in supported_llms:
|
||||
chatbot.append([f"处理任务: {txt}", f"当前插件只支持{str(supported_llms)}, 当前模型{llm_kwargs['llm_model']}."])
|
||||
supported_llms = [
|
||||
"gpt-3.5-turbo-16k",
|
||||
'gpt-3.5-turbo-1106',
|
||||
"gpt-4",
|
||||
"gpt-4-32k",
|
||||
'gpt-4-1106-preview',
|
||||
"azure-gpt-3.5-turbo-16k",
|
||||
"azure-gpt-3.5-16k",
|
||||
"azure-gpt-4",
|
||||
"azure-gpt-4-32k",
|
||||
]
|
||||
from request_llms.bridge_all import model_info
|
||||
if model_info[llm_kwargs['llm_model']]["max_token"] < 8000: # 至少是8k上下文的模型
|
||||
chatbot.append([f"处理任务: {txt}", f"当前插件只支持{str(supported_llms)}, 当前模型{llm_kwargs['llm_model']}的最大上下文长度太短, 不能支撑AutoGen运行。"])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
if model_info[llm_kwargs['llm_model']]["endpoint"] is not None: # 如果不是本地模型,加载API_KEY
|
||||
llm_kwargs['api_key'] = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model'])
|
||||
|
||||
# 检查当前的模型是否符合要求
|
||||
API_URL_REDIRECT, = get_conf('API_URL_REDIRECT')
|
||||
API_URL_REDIRECT = get_conf('API_URL_REDIRECT')
|
||||
if len(API_URL_REDIRECT) > 0:
|
||||
chatbot.append([f"处理任务: {txt}", f"暂不支持中转."])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -49,7 +60,9 @@ def 多智能体终端(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_
|
||||
|
||||
# 尝试导入依赖,如果缺少依赖,则给出安装建议
|
||||
try:
|
||||
import autogen, docker
|
||||
import autogen
|
||||
if get_conf("AUTOGEN_USE_DOCKER"):
|
||||
import docker
|
||||
except:
|
||||
chatbot.append([ f"处理任务: {txt}",
|
||||
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 pyautogen docker```。"])
|
||||
@@ -60,7 +73,8 @@ def 多智能体终端(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_
|
||||
try:
|
||||
import autogen
|
||||
import glob, os, time, subprocess
|
||||
subprocess.Popen(['docker', '--version'])
|
||||
if get_conf("AUTOGEN_USE_DOCKER"):
|
||||
subprocess.Popen(["docker", "--version"])
|
||||
except:
|
||||
chatbot.append([f"处理任务: {txt}", f"缺少docker运行环境!"])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from toolbox import update_ui
|
||||
from toolbox import CatchException, report_execption
|
||||
from toolbox import CatchException, report_exception
|
||||
from toolbox import write_history_to_file, promote_file_to_downloadzone
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
fast_debug = False
|
||||
@@ -32,7 +32,7 @@ def 解析docx(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot
|
||||
print(file_content)
|
||||
# private_upload里面的文件名在解压zip后容易出现乱码(rar和7z格式正常),故可以只分析文章内容,不输入文件名
|
||||
from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
max_token = model_info[llm_kwargs['llm_model']]['max_token']
|
||||
TOKEN_LIMIT_PER_FRAGMENT = max_token * 3 // 4
|
||||
paper_fragments = breakdown_txt_to_satisfy_token_limit_for_pdf(
|
||||
@@ -97,7 +97,7 @@ def 总结word文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pr
|
||||
try:
|
||||
from docx import Document
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}",
|
||||
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 python-docx pywin32```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -111,7 +111,7 @@ def 总结word文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pr
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
@@ -124,7 +124,7 @@ def 总结word文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pr
|
||||
|
||||
# 如果没找到任何文件
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何.docx或doc文件: {txt}")
|
||||
report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何.docx或doc文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from toolbox import CatchException, report_execption, select_api_key, update_ui, get_conf
|
||||
from toolbox import CatchException, report_exception, select_api_key, update_ui, get_conf
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
from toolbox import write_history_to_file, promote_file_to_downloadzone, get_log_folder
|
||||
|
||||
@@ -41,7 +41,7 @@ def split_audio_file(filename, split_duration=1000):
|
||||
def AnalyAudio(parse_prompt, file_manifest, llm_kwargs, chatbot, history):
|
||||
import os, requests
|
||||
from moviepy.editor import AudioFileClip
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
|
||||
# 设置OpenAI密钥和模型
|
||||
api_key = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model'])
|
||||
@@ -79,7 +79,7 @@ def AnalyAudio(parse_prompt, file_manifest, llm_kwargs, chatbot, history):
|
||||
|
||||
chatbot.append([f"将 {i} 发送到openai音频解析终端 (whisper),当前参数:{parse_prompt}", "正在处理 ..."])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
proxies, = get_conf('proxies')
|
||||
proxies = get_conf('proxies')
|
||||
response = requests.post(url, headers=headers, files=files, data=data, proxies=proxies).text
|
||||
|
||||
chatbot.append(["音频解析结果", response])
|
||||
@@ -144,7 +144,7 @@ def 总结音视频(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
|
||||
try:
|
||||
from moviepy.editor import AudioFileClip
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}",
|
||||
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 moviepy```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -158,7 +158,7 @@ def 总结音视频(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
@@ -174,7 +174,7 @@ def 总结音视频(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
|
||||
|
||||
# 如果没找到任何文件
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何音频或视频文件: {txt}")
|
||||
report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何音频或视频文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import glob, time, os, re, logging
|
||||
from toolbox import update_ui, trimmed_format_exc, gen_time_str, disable_auto_promotion
|
||||
from toolbox import CatchException, report_execption, get_log_folder
|
||||
from toolbox import CatchException, report_exception, get_log_folder
|
||||
from toolbox import write_history_to_file, promote_file_to_downloadzone
|
||||
fast_debug = False
|
||||
|
||||
@@ -13,7 +13,7 @@ class PaperFileGroup():
|
||||
self.sp_file_tag = []
|
||||
|
||||
# count_token
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
enc = model_info["gpt-3.5-turbo"]['tokenizer']
|
||||
def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
|
||||
self.get_token_num = get_token_num
|
||||
@@ -118,7 +118,7 @@ def get_files_from_everything(txt, preference=''):
|
||||
if txt.startswith('http'):
|
||||
import requests
|
||||
from toolbox import get_conf
|
||||
proxies, = get_conf('proxies')
|
||||
proxies = get_conf('proxies')
|
||||
# 网络的远程文件
|
||||
if preference == 'Github':
|
||||
logging.info('正在从github下载资源 ...')
|
||||
@@ -165,7 +165,7 @@ def Markdown英译中(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
|
||||
try:
|
||||
import tiktoken
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}",
|
||||
b=f"导入软件依赖失败。使用该模块需要额外依赖,安装方法```pip install --upgrade tiktoken```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -177,12 +177,12 @@ def Markdown英译中(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
|
||||
if not success:
|
||||
# 什么都没有
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.md文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.md文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
@@ -205,7 +205,7 @@ def Markdown中译英(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
|
||||
try:
|
||||
import tiktoken
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}",
|
||||
b=f"导入软件依赖失败。使用该模块需要额外依赖,安装方法```pip install --upgrade tiktoken```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -215,11 +215,11 @@ def Markdown中译英(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
|
||||
if not success:
|
||||
# 什么都没有
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.md文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.md文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 多文件翻译(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='zh->en')
|
||||
@@ -238,7 +238,7 @@ def Markdown翻译指定语言(txt, llm_kwargs, plugin_kwargs, chatbot, history,
|
||||
try:
|
||||
import tiktoken
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}",
|
||||
b=f"导入软件依赖失败。使用该模块需要额外依赖,安装方法```pip install --upgrade tiktoken```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -248,11 +248,11 @@ def Markdown翻译指定语言(txt, llm_kwargs, plugin_kwargs, chatbot, history,
|
||||
if not success:
|
||||
# 什么都没有
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.md文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.md文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from toolbox import update_ui, promote_file_to_downloadzone, gen_time_str
|
||||
from toolbox import CatchException, report_execption
|
||||
from toolbox import CatchException, report_exception
|
||||
from toolbox import write_history_to_file, promote_file_to_downloadzone
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
from .crazy_utils import read_and_clean_pdf_text
|
||||
@@ -21,7 +21,7 @@ def 解析PDF(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot,
|
||||
TOKEN_LIMIT_PER_FRAGMENT = 2500
|
||||
|
||||
from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
enc = model_info["gpt-3.5-turbo"]['tokenizer']
|
||||
def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
|
||||
paper_fragments = breakdown_txt_to_satisfy_token_limit_for_pdf(
|
||||
@@ -119,7 +119,7 @@ def 批量总结PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
|
||||
try:
|
||||
import fitz
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a = f"解析项目: {txt}",
|
||||
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```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -133,7 +133,7 @@ def 批量总结PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
@@ -142,7 +142,7 @@ def 批量总结PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
|
||||
|
||||
# 如果没找到任何文件
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex或.pdf文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex或.pdf文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from toolbox import update_ui
|
||||
from toolbox import CatchException, report_execption
|
||||
from toolbox import CatchException, report_exception
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
from toolbox import write_history_to_file, promote_file_to_downloadzone
|
||||
|
||||
@@ -138,7 +138,7 @@ def 批量总结PDF文档pdfminer(txt, llm_kwargs, plugin_kwargs, chatbot, histo
|
||||
try:
|
||||
import pdfminer, bs4
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a = f"解析项目: {txt}",
|
||||
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 pdfminer beautifulsoup4```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -147,7 +147,7 @@ def 批量总结PDF文档pdfminer(txt, llm_kwargs, plugin_kwargs, chatbot, histo
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] + \
|
||||
@@ -155,7 +155,7 @@ def 批量总结PDF文档pdfminer(txt, llm_kwargs, plugin_kwargs, chatbot, histo
|
||||
# [f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)] + \
|
||||
# [f for f in glob.glob(f'{project_folder}/**/*.c', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex或pdf文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex或pdf文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析Paper(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from toolbox import CatchException, report_execption, get_log_folder, gen_time_str
|
||||
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 write_history_to_file, promote_file_to_downloadzone
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
@@ -57,29 +57,34 @@ def 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
|
||||
"批量翻译PDF文档。函数插件贡献者: Binary-Husky"])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
|
||||
# 尝试导入依赖,如果缺少依赖,则给出安装建议
|
||||
try:
|
||||
import nougat
|
||||
import tiktoken
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
a=f"解析项目: {txt}",
|
||||
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 nougat-ocr tiktoken```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
# 清空历史,以免输入溢出
|
||||
history = []
|
||||
|
||||
from .crazy_utils import get_files_from_everything
|
||||
success, file_manifest, project_folder = get_files_from_everything(txt, type='.pdf')
|
||||
if len(file_manifest) > 0:
|
||||
# 尝试导入依赖,如果缺少依赖,则给出安装建议
|
||||
try:
|
||||
import nougat
|
||||
import tiktoken
|
||||
except:
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}",
|
||||
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 nougat-ocr tiktoken```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
success_mmd, file_manifest_mmd, _ = get_files_from_everything(txt, type='.mmd')
|
||||
success = success or success_mmd
|
||||
file_manifest += file_manifest_mmd
|
||||
chatbot.append(["文件列表:", ", ".join([e.split('/')[-1] for e in file_manifest])]);
|
||||
yield from update_ui( chatbot=chatbot, history=history)
|
||||
# 检测输入参数,如没有给定输入参数,直接退出
|
||||
if not success:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
|
||||
# 如果没找到任何文件
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}", b=f"找不到任何.pdf拓展名的文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
@@ -101,9 +106,13 @@ def 解析PDF_基于NOUGAT(file_manifest, project_folder, llm_kwargs, plugin_kwa
|
||||
from crazy_functions.pdf_fns.report_gen_html import construct_html
|
||||
nougat_handle = nougat_interface()
|
||||
for index, fp in enumerate(file_manifest):
|
||||
chatbot.append(["当前进度:", f"正在解析论文,请稍候。(第一次运行时,需要花费较长时间下载NOUGAT参数)"]); yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
fpp = yield from nougat_handle.NOUGAT_parse_pdf(fp, chatbot, history)
|
||||
promote_file_to_downloadzone(fpp, rename_file=os.path.basename(fpp)+'.nougat.mmd', chatbot=chatbot)
|
||||
if fp.endswith('pdf'):
|
||||
chatbot.append(["当前进度:", f"正在解析论文,请稍候。(第一次运行时,需要花费较长时间下载NOUGAT参数)"]); yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
fpp = yield from nougat_handle.NOUGAT_parse_pdf(fp, chatbot, history)
|
||||
promote_file_to_downloadzone(fpp, rename_file=os.path.basename(fpp)+'.nougat.mmd', chatbot=chatbot)
|
||||
else:
|
||||
chatbot.append(["当前论文无需解析:", fp]); yield from update_ui( chatbot=chatbot, history=history)
|
||||
fpp = fp
|
||||
with open(fpp, 'r', encoding='utf8') as f:
|
||||
article_content = f.readlines()
|
||||
article_dict = markdown_to_dict(article_content)
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from toolbox import CatchException, report_execption, get_log_folder, gen_time_str
|
||||
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 write_history_to_file, promote_file_to_downloadzone
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
@@ -6,9 +6,8 @@ from .crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_an
|
||||
from .crazy_utils import read_and_clean_pdf_text
|
||||
from .pdf_fns.parse_pdf import parse_pdf, get_avail_grobid_url, translate_pdf
|
||||
from colorful import *
|
||||
import copy
|
||||
import os
|
||||
import math
|
||||
|
||||
|
||||
@CatchException
|
||||
def 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
|
||||
@@ -22,11 +21,9 @@ def 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
|
||||
|
||||
# 尝试导入依赖,如果缺少依赖,则给出安装建议
|
||||
try:
|
||||
import fitz
|
||||
import tiktoken
|
||||
import scipdf
|
||||
check_packages(["fitz", "tiktoken", "scipdf"])
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}",
|
||||
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 tiktoken scipdf_parser```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -43,7 +40,7 @@ def 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
|
||||
|
||||
# 如果没找到任何文件
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}", b=f"找不到任何.pdf拓展名的文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
@@ -95,7 +92,7 @@ def 解析PDF(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot,
|
||||
|
||||
# 递归地切割PDF文件
|
||||
from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
enc = model_info["gpt-3.5-turbo"]['tokenizer']
|
||||
def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
|
||||
paper_fragments = breakdown_txt_to_satisfy_token_limit_for_pdf(
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from toolbox import update_ui
|
||||
from toolbox import CatchException, report_execption
|
||||
from toolbox import CatchException, report_exception
|
||||
from .crazy_utils import read_and_clean_pdf_text
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
fast_debug = False
|
||||
@@ -19,7 +19,7 @@ def 解析PDF(file_name, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
|
||||
TOKEN_LIMIT_PER_FRAGMENT = 2500
|
||||
|
||||
from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
enc = model_info["gpt-3.5-turbo"]['tokenizer']
|
||||
def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
|
||||
paper_fragments = breakdown_txt_to_satisfy_token_limit_for_pdf(
|
||||
@@ -49,7 +49,7 @@ def 解析PDF(file_name, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
|
||||
gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(i_say, i_say_show_user, # i_say=真正给chatgpt的提问, i_say_show_user=给用户看的提问
|
||||
llm_kwargs, chatbot,
|
||||
history=["The main idea of the previous section is?", last_iteration_result], # 迭代上一次的结果
|
||||
sys_prompt="Extract the main idea of this section." # 提示
|
||||
sys_prompt="Extract the main idea of this section, answer me with Chinese." # 提示
|
||||
)
|
||||
iteration_results.append(gpt_say)
|
||||
last_iteration_result = gpt_say
|
||||
@@ -81,7 +81,7 @@ def 理解PDF文档内容标准文件输入(txt, llm_kwargs, plugin_kwargs, chat
|
||||
try:
|
||||
import fitz
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a = f"解析项目: {txt}",
|
||||
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```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -96,7 +96,7 @@ def 理解PDF文档内容标准文件输入(txt, llm_kwargs, plugin_kwargs, chat
|
||||
else:
|
||||
if txt == "":
|
||||
txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
@@ -105,7 +105,7 @@ def 理解PDF文档内容标准文件输入(txt, llm_kwargs, plugin_kwargs, chat
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.pdf', recursive=True)]
|
||||
# 如果没找到任何文件
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}", b=f"找不到任何.tex或.pdf文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from toolbox import update_ui
|
||||
from toolbox import CatchException, report_execption
|
||||
from toolbox import CatchException, report_exception
|
||||
from toolbox import write_history_to_file, promote_file_to_downloadzone
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
fast_debug = False
|
||||
@@ -43,14 +43,14 @@ def 批量生成函数注释(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.py', recursive=True)] + \
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)]
|
||||
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 生成函数注释(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
|
||||
@@ -2,7 +2,7 @@ from toolbox import CatchException, update_ui
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, input_clipping
|
||||
import requests
|
||||
from bs4 import BeautifulSoup
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
|
||||
def google(query, proxies):
|
||||
query = query # 在此处替换您要搜索的关键词
|
||||
@@ -72,7 +72,7 @@ def 连接网络回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
|
||||
|
||||
# ------------- < 第1步:爬取搜索引擎的结果 > -------------
|
||||
from toolbox import get_conf
|
||||
proxies, = get_conf('proxies')
|
||||
proxies = get_conf('proxies')
|
||||
urls = google(txt, proxies)
|
||||
history = []
|
||||
if len(urls) == 0:
|
||||
|
||||
@@ -2,7 +2,7 @@ from toolbox import CatchException, update_ui
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, input_clipping
|
||||
import requests
|
||||
from bs4 import BeautifulSoup
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
|
||||
|
||||
def bing_search(query, proxies=None):
|
||||
@@ -72,7 +72,7 @@ def 连接bing搜索回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, histor
|
||||
|
||||
# ------------- < 第1步:爬取搜索引擎的结果 > -------------
|
||||
from toolbox import get_conf
|
||||
proxies, = get_conf('proxies')
|
||||
proxies = get_conf('proxies')
|
||||
urls = bing_search(txt, proxies)
|
||||
history = []
|
||||
if len(urls) == 0:
|
||||
|
||||
@@ -48,7 +48,7 @@ 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 request_llm.bridge_all import predict_no_ui_long_connection
|
||||
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
|
||||
from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from toolbox import update_ui
|
||||
from toolbox import CatchException, report_execption
|
||||
from toolbox import CatchException, report_exception
|
||||
from toolbox import write_history_to_file, promote_file_to_downloadzone
|
||||
fast_debug = True
|
||||
|
||||
@@ -13,7 +13,7 @@ class PaperFileGroup():
|
||||
self.sp_file_tag = []
|
||||
|
||||
# count_token
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
enc = model_info["gpt-3.5-turbo"]['tokenizer']
|
||||
def get_token_num(txt): return len(
|
||||
enc.encode(txt, disallowed_special=()))
|
||||
@@ -131,7 +131,7 @@ def 解析ipynb文件(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
|
||||
else:
|
||||
if txt == "":
|
||||
txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
@@ -141,7 +141,7 @@ def 解析ipynb文件(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
|
||||
file_manifest = [f for f in glob.glob(
|
||||
f'{project_folder}/**/*.ipynb', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"解析项目: {txt}", b=f"找不到任何.ipynb文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from toolbox import update_ui, promote_file_to_downloadzone, disable_auto_promotion
|
||||
from toolbox import CatchException, report_execption, write_history_to_file
|
||||
from toolbox import CatchException, report_exception, write_history_to_file
|
||||
from .crazy_utils import input_clipping
|
||||
|
||||
def 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
|
||||
@@ -113,7 +113,7 @@ def 解析项目本身(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_
|
||||
[f for f in glob.glob('./*/*.py')]
|
||||
project_folder = './'
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何python文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何python文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
@@ -126,12 +126,12 @@ def 解析一个Python项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.py', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何python文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何python文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
@@ -144,12 +144,12 @@ def 解析一个Matlab项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析Matlab项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析Matlab项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.m', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析Matlab项目: {txt}", b = f"找不到任何`.m`源文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析Matlab项目: {txt}", b = f"找不到任何`.m`源文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
@@ -162,14 +162,14 @@ def 解析一个C项目的头文件(txt, llm_kwargs, plugin_kwargs, chatbot, his
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.h', recursive=True)] + \
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.hpp', recursive=True)] #+ \
|
||||
# [f for f in glob.glob(f'{project_folder}/**/*.c', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.h头文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.h头文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
@@ -182,7 +182,7 @@ def 解析一个C项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, system
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.h', recursive=True)] + \
|
||||
@@ -190,7 +190,7 @@ def 解析一个C项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, system
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.hpp', recursive=True)] + \
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.c', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.h头文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.h头文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
@@ -204,7 +204,7 @@ def 解析一个Java项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, sys
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.java', recursive=True)] + \
|
||||
@@ -212,7 +212,7 @@ def 解析一个Java项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, sys
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.xml', recursive=True)] + \
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.sh', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何java文件: {txt}")
|
||||
report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何java文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
@@ -226,7 +226,7 @@ def 解析一个前端项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.ts', recursive=True)] + \
|
||||
@@ -241,7 +241,7 @@ def 解析一个前端项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.css', recursive=True)] + \
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.jsx', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何前端相关文件: {txt}")
|
||||
report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何前端相关文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
@@ -255,7 +255,7 @@ def 解析一个Golang项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.go', recursive=True)] + \
|
||||
@@ -263,7 +263,7 @@ def 解析一个Golang项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
|
||||
[f for f in glob.glob(f'{project_folder}/**/go.sum', recursive=True)] + \
|
||||
[f for f in glob.glob(f'{project_folder}/**/go.work', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何golang文件: {txt}")
|
||||
report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何golang文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
@@ -276,14 +276,14 @@ def 解析一个Rust项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, sys
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.rs', recursive=True)] + \
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.toml', recursive=True)] + \
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.lock', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何golang文件: {txt}")
|
||||
report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何golang文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
@@ -296,7 +296,7 @@ def 解析一个Lua项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.lua', recursive=True)] + \
|
||||
@@ -304,7 +304,7 @@ def 解析一个Lua项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.json', recursive=True)] + \
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.toml', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何lua文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何lua文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
@@ -318,13 +318,13 @@ def 解析一个CSharp项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.cs', recursive=True)] + \
|
||||
[f for f in glob.glob(f'{project_folder}/**/*.csproj', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何CSharp文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何CSharp文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
@@ -352,7 +352,7 @@ def 解析任意code项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, sys
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
# 若上传压缩文件, 先寻找到解压的文件夹路径, 从而避免解析压缩文件
|
||||
@@ -365,7 +365,7 @@ def 解析任意code项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, sys
|
||||
file_manifest = [f for pattern in pattern_include for f in glob.glob(f'{extract_folder_path}/**/{pattern}', recursive=True) if "" != extract_folder_path and \
|
||||
os.path.isfile(f) and (not re.search(pattern_except, f) or pattern.endswith('.' + re.search(pattern_except, f).group().split('.')[-1]))]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
@@ -1,4 +1,4 @@
|
||||
from toolbox import CatchException, update_ui
|
||||
from toolbox import CatchException, update_ui, get_conf
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
import datetime
|
||||
@CatchException
|
||||
@@ -13,11 +13,12 @@ def 同时问询(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt
|
||||
web_port 当前软件运行的端口号
|
||||
"""
|
||||
history = [] # 清空历史,以免输入溢出
|
||||
chatbot.append((txt, "正在同时咨询ChatGPT和ChatGLM……"))
|
||||
MULTI_QUERY_LLM_MODELS = get_conf('MULTI_QUERY_LLM_MODELS')
|
||||
chatbot.append((txt, "正在同时咨询" + MULTI_QUERY_LLM_MODELS))
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 由于请求gpt需要一段时间,我们先及时地做一次界面更新
|
||||
|
||||
# llm_kwargs['llm_model'] = 'chatglm&gpt-3.5-turbo&api2d-gpt-3.5-turbo' # 支持任意数量的llm接口,用&符号分隔
|
||||
llm_kwargs['llm_model'] = 'chatglm&gpt-3.5-turbo' # 支持任意数量的llm接口,用&符号分隔
|
||||
llm_kwargs['llm_model'] = MULTI_QUERY_LLM_MODELS # 支持任意数量的llm接口,用&符号分隔
|
||||
gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
|
||||
inputs=txt, inputs_show_user=txt,
|
||||
llm_kwargs=llm_kwargs, chatbot=chatbot, history=history,
|
||||
|
||||
@@ -2,7 +2,7 @@ from toolbox import update_ui
|
||||
from toolbox import CatchException, get_conf, markdown_convertion
|
||||
from crazy_functions.crazy_utils import input_clipping
|
||||
from crazy_functions.agent_fns.watchdog import WatchDog
|
||||
from request_llm.bridge_all import predict_no_ui_long_connection
|
||||
from request_llms.bridge_all import predict_no_ui_long_connection
|
||||
import threading, time
|
||||
import numpy as np
|
||||
from .live_audio.aliyunASR import AliyunASR
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from toolbox import update_ui
|
||||
from toolbox import CatchException, report_execption
|
||||
from toolbox import CatchException, report_exception
|
||||
from toolbox import write_history_to_file, promote_file_to_downloadzone
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
|
||||
@@ -51,14 +51,14 @@ def 读文章写摘要(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_
|
||||
project_folder = txt
|
||||
else:
|
||||
if txt == "": txt = '空空如也的输入栏'
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] # + \
|
||||
# [f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)] + \
|
||||
# [f for f in glob.glob(f'{project_folder}/**/*.c', recursive=True)]
|
||||
if len(file_manifest) == 0:
|
||||
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
|
||||
report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
yield from 解析Paper(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
from toolbox import CatchException, report_execption, promote_file_to_downloadzone
|
||||
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
|
||||
import logging
|
||||
import requests
|
||||
@@ -17,7 +17,7 @@ def get_meta_information(url, chatbot, history):
|
||||
from urllib.parse import urlparse
|
||||
session = requests.session()
|
||||
|
||||
proxies, = get_conf('proxies')
|
||||
proxies = get_conf('proxies')
|
||||
headers = {
|
||||
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36',
|
||||
'Accept-Encoding': 'gzip, deflate, br',
|
||||
@@ -29,7 +29,7 @@ def get_meta_information(url, chatbot, history):
|
||||
try:
|
||||
session.proxies.update(proxies)
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a=f"获取代理失败 无代理状态下很可能无法访问OpenAI家族的模型及谷歌学术 建议:检查USE_PROXY选项是否修改。",
|
||||
b=f"尝试直接连接")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -146,7 +146,7 @@ def 谷歌检索小助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
|
||||
import math
|
||||
from bs4 import BeautifulSoup
|
||||
except:
|
||||
report_execption(chatbot, history,
|
||||
report_exception(chatbot, history,
|
||||
a = f"解析项目: {txt}",
|
||||
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 beautifulsoup4 arxiv```。")
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
|
||||
在新工单中引用
屏蔽一个用户