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24 Commits

Author SHA1 Message Date
5c0d34793e Latex File Name Bug Patch 2023-07-07 00:09:50 +08:00
41c10f5688 report image generation error in UI 2023-07-01 02:28:32 +08:00
d7ac99f603 更正错误提示 2023-07-01 01:46:43 +08:00
1616daae6a Merge branch 'master' of https://github.com/binary-husky/chatgpt_academic into master 2023-07-01 00:17:30 +08:00
a1092d8f92 提供自动清空输入框的选项 2023-07-01 00:17:26 +08:00
34ca9f138f Merge branch 'master' of github.com:binary-husky/chatgpt_academic 2023-06-30 14:56:28 +08:00
df3f1aa3ca 更正ChatGLM2的默认Token数量 2023-06-30 14:56:22 +08:00
bf805cf477 Merge branch 'master' of https://github.com/binary-husky/chatgpt_academic into master 2023-06-30 13:09:51 +08:00
ecb08e69be remove find picture core functionality 2023-06-30 13:08:54 +08:00
28c1e3f11b Merge branch 'master' of github.com:binary-husky/chatgpt_academic 2023-06-30 12:06:33 +08:00
403667aec1 upgrade chatglm to chatglm2 2023-06-30 12:06:28 +08:00
22f377e2fb fix multi user cwd shift 2023-06-30 11:05:47 +08:00
37172906ef 修复文件导出的bug 2023-06-29 14:55:55 +08:00
3b78e0538b 修复插件demo的图像显示的问题 2023-06-29 14:52:58 +08:00
d8f9ac71d0 Merge pull request #907 from Xminry/master
feat:联网搜索功能,cn.bing.com版,国内可用
2023-06-29 12:44:32 +08:00
aced272d3c 微调插件提示 2023-06-29 12:43:50 +08:00
aff77a086d Merge branch 'master' of https://github.com/Xminry/gpt_academic into Xminry-master 2023-06-29 12:38:43 +08:00
49253c4dc6 [arxiv trans] add html comparison to zip file 2023-06-29 12:29:49 +08:00
1a00093015 修复提示 2023-06-29 12:15:52 +08:00
64f76e7401 3.42 2023-06-29 11:32:19 +08:00
eb4c07997e 修复Latex矫错和本地Latex论文翻译的问题 2023-06-29 11:30:42 +08:00
99cf7205c3 feat:联网搜索功能,cn.bing.com版,国内可用 2023-06-28 10:30:08 +08:00
d684b4cdb3 Merge pull request #905 from Xminry/master
Update 理解PDF文档内容.py
2023-06-27 23:37:25 +08:00
4290821a50 Update 理解PDF文档内容.py 2023-06-27 01:57:31 +08:00
16 changed files with 272 additions and 87 deletions

View File

@ -56,6 +56,9 @@ LOCAL_MODEL_DEVICE = "cpu" # 可选 "cuda"
# 设置gradio的并行线程数不需要修改
CONCURRENT_COUNT = 100
# 是否在提交时自动清空输入框
AUTO_CLEAR_TXT = False
# 加一个live2d装饰
ADD_WAIFU = False

View File

@ -63,6 +63,7 @@ def get_core_functions():
"Prefix": r"我需要你找一张网络图片。使用Unsplash API(https://source.unsplash.com/960x640/?<英语关键词>)获取图片URL" +
r"然后请使用Markdown格式封装并且不要有反斜线不要用代码块。现在请按以下描述给我发送图片" + "\n\n",
"Suffix": r"",
"Visible": False,
},
"解释代码": {
"Prefix": r"请解释以下代码:" + "\n```\n",
@ -73,6 +74,5 @@ def get_core_functions():
r"Note that, reference styles maybe more than one kind, you should transform each item correctly." +
r"Items need to be transformed:",
"Suffix": r"",
"Visible": False,
}
}

View File

@ -226,12 +226,20 @@ def get_crazy_functions():
try:
from crazy_functions.联网的ChatGPT import 连接网络回答问题
function_plugins.update({
"连接网络回答问题(输入问题,再点击按钮,需要访问谷歌)": {
"连接网络回答问题(输入问题后点击该插件,需要访问谷歌)": {
"Color": "stop",
"AsButton": False, # 加入下拉菜单中
"Function": HotReload(连接网络回答问题)
}
})
from crazy_functions.联网的ChatGPT_bing版 import 连接bing搜索回答问题
function_plugins.update({
"连接网络回答问题中文Bing版输入问题后点击该插件": {
"Color": "stop",
"AsButton": False, # 加入下拉菜单中
"Function": HotReload(连接bing搜索回答问题)
}
})
except:
print('Load function plugin failed')
@ -348,17 +356,28 @@ def get_crazy_functions():
try:
from crazy_functions.Latex输出PDF结果 import Latex英文纠错加PDF对比
function_plugins.update({
"[功能尚不稳定] Latex英文纠错+LatexDiff高亮修正位置": {
"Latex英文纠错+高亮修正位置 [需Latex]": {
"Color": "stop",
"AsButton": False,
# "AdvancedArgs": True,
# "ArgsReminder": "",
"AdvancedArgs": True,
"ArgsReminder": "如果有必要, 请在此处追加更细致的矫错指令(使用英文)。",
"Function": HotReload(Latex英文纠错加PDF对比)
}
})
from crazy_functions.Latex输出PDF结果 import Latex翻译中文并重新编译PDF
function_plugins.update({
"Arixv翻译输入arxivID [需Latex]": {
"Arixv翻译输入arxivID[需Latex]": {
"Color": "stop",
"AsButton": False,
"AdvancedArgs": True,
"ArgsReminder":
"如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 "+
"例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: " + 'If the term "agent" is used in this section, it should be translated to "智能体". ',
"Function": HotReload(Latex翻译中文并重新编译PDF)
}
})
function_plugins.update({
"本地论文翻译上传Latex压缩包[需Latex]": {
"Color": "stop",
"AsButton": False,
"AdvancedArgs": True,
@ -368,17 +387,6 @@ def get_crazy_functions():
"Function": HotReload(Latex翻译中文并重新编译PDF)
}
})
# function_plugins.update({
# "本地论文翻译上传Latex压缩包 [需Latex]": {
# "Color": "stop",
# "AsButton": False,
# "AdvancedArgs": True,
# "ArgsReminder":
# "如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 "+
# "例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: " + 'If the term "agent" is used in this section, it should be translated to "智能体". ',
# "Function": HotReload(Latex翻译中文并重新编译PDF)
# }
# })
except:
print('Load function plugin failed')

View File

@ -19,9 +19,9 @@ def switch_prompt(pfg, mode, more_requirement):
- sys_prompt_array: A list of strings containing prompts for system prompts.
"""
n_split = len(pfg.sp_file_contents)
if mode == 'proofread':
if mode == 'proofread_en':
inputs_array = [r"Below is a section from an academic paper, proofread this section." +
r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " +
r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " + more_requirement +
r"Answer me only with the revised text:" +
f"\n\n{frag}" for frag in pfg.sp_file_contents]
sys_prompt_array = ["You are a professional academic paper writer." for _ in range(n_split)]
@ -70,6 +70,12 @@ def move_project(project_folder, arxiv_id=None):
shutil.rmtree(new_workfolder)
except:
pass
# align subfolder if there is a folder wrapper
items = glob.glob(pj(project_folder,'*'))
if len(glob.glob(pj(project_folder,'*.tex'))) == 0 and len(items) == 1:
if os.path.isdir(items[0]): project_folder = items[0]
shutil.copytree(src=project_folder, dst=new_workfolder)
return new_workfolder
@ -141,7 +147,11 @@ def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, histo
chatbot.append([ "函数插件功能?",
"对整个Latex项目进行纠错, 用latex编译为PDF对修正处做高亮。函数插件贡献者: Binary-Husky。注意事项: 目前仅支持GPT3.5/GPT4其他模型转化效果未知。目前对机器学习类文献转化效果最好其他类型文献转化效果未知。仅在Windows系统进行了测试其他操作系统表现未知。"])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
# <-------------- more requirements ------------->
if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
more_req = plugin_kwargs.get("advanced_arg", "")
_switch_prompt_ = partial(switch_prompt, more_requirement=more_req)
# <-------------- check deps ------------->
try:
@ -180,13 +190,13 @@ def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, histo
# <-------------- if merge_translate_zh is already generated, skip gpt req ------------->
if not os.path.exists(project_folder + '/merge_proofread.tex'):
if not os.path.exists(project_folder + '/merge_proofread_en.tex'):
yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs,
chatbot, history, system_prompt, mode='proofread_latex', switch_prompt=switch_prompt)
chatbot, history, system_prompt, mode='proofread_en', switch_prompt=_switch_prompt_)
# <-------------- compile PDF ------------->
success = yield from 编译Latex(chatbot, history, main_file_original='merge', main_file_modified='merge_proofread',
success = yield from 编译Latex(chatbot, history, main_file_original='merge', main_file_modified='merge_proofread_en',
work_folder_original=project_folder, work_folder_modified=project_folder, work_folder=project_folder)
@ -195,6 +205,7 @@ def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, histo
if success:
chatbot.append((f"成功啦", '请查收结果(压缩包)...'))
yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面
promote_file_to_downloadzone(file=zip_res, chatbot=chatbot)
else:
chatbot.append((f"失败了", '虽然PDF生成失败了, 但请查收结果(压缩包), 内含已经翻译的Tex文档, 也是可读的, 您可以到Github Issue区, 用该压缩包+对话历史存档进行反馈 ...'))
yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面
@ -278,6 +289,7 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
if success:
chatbot.append((f"成功啦", '请查收结果(压缩包)...'))
yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面
promote_file_to_downloadzone(file=zip_res, chatbot=chatbot)
else:
chatbot.append((f"失败了", '虽然PDF生成失败了, 但请查收结果(压缩包), 内含已经翻译的Tex文档, 也是可读的, 您可以到Github Issue区, 用该压缩包+对话历史存档进行反馈 ...'))
yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面

View File

@ -190,11 +190,12 @@ def test_Latex():
# txt = r"C:\Users\x\arxiv_cache\2211.16068\workfolder" # ACE
# txt = r"https://arxiv.org/abs/2002.09253"
# txt = r"https://arxiv.org/abs/2306.07831"
txt = r"https://arxiv.org/abs/2212.10156"
# txt = r"https://arxiv.org/abs/2212.10156"
# txt = r"https://arxiv.org/abs/2211.11559"
# txt = r"https://arxiv.org/abs/2303.08774"
# txt = r"https://arxiv.org/abs/2303.12712"
# txt = r"C:\Users\fuqingxu\arxiv_cache\2303.12712\workfolder"
txt = r"2306.17157" # 这个paper有个input命令文件名大小写错误
for cookies, cb, hist, msg in (Latex翻译中文并重新编译PDF)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):

View File

@ -27,6 +27,24 @@ def set_forbidden_text(text, mask, pattern, flags=0):
mask[res.span()[0]:res.span()[1]] = PRESERVE
return text, mask
def reverse_forbidden_text(text, mask, pattern, flags=0, forbid_wrapper=True):
"""
Move area out of preserve area (make text editable for GPT)
count the number of the braces so as to catch compelete text area.
e.g.
\begin{abstract} blablablablablabla. \end{abstract}
"""
if isinstance(pattern, list): pattern = '|'.join(pattern)
pattern_compile = re.compile(pattern, flags)
for res in pattern_compile.finditer(text):
if not forbid_wrapper:
mask[res.span()[0]:res.span()[1]] = TRANSFORM
else:
mask[res.regs[0][0]: res.regs[1][0]] = PRESERVE # '\\begin{abstract}'
mask[res.regs[1][0]: res.regs[1][1]] = TRANSFORM # abstract
mask[res.regs[1][1]: res.regs[0][1]] = PRESERVE # abstract
return text, mask
def set_forbidden_text_careful_brace(text, mask, pattern, flags=0):
"""
Add a preserve text area in this paper (text become untouchable for GPT).
@ -171,6 +189,18 @@ def rm_comments(main_file):
main_file = re.sub(r'(?<!\\)%.*', '', main_file) # 使用正则表达式查找半行注释, 并替换为空字符串
return main_file
def find_tex_file_ignore_case(fp):
dir_name = os.path.dirname(fp)
base_name = os.path.basename(fp)
if not base_name.endswith('.tex'): base_name+='.tex'
if os.path.exists(pj(dir_name, base_name)): return pj(dir_name, base_name)
# go case in-sensitive
import glob
for f in glob.glob(dir_name+'/*.tex'):
base_name_s = os.path.basename(fp)
if base_name_s.lower() == base_name.lower(): return f
return None
def merge_tex_files_(project_foler, main_file, mode):
"""
Merge Tex project recrusively
@ -179,14 +209,11 @@ def merge_tex_files_(project_foler, main_file, mode):
for s in reversed([q for q in re.finditer(r"\\input\{(.*?)\}", main_file, re.M)]):
f = s.group(1)
fp = os.path.join(project_foler, f)
if os.path.exists(fp):
# e.g., \input{srcs/07_appendix.tex}
with open(fp, 'r', encoding='utf-8', errors='replace') as fx:
c = fx.read()
else:
# e.g., \input{srcs/07_appendix}
with open(fp+'.tex', 'r', encoding='utf-8', errors='replace') as fx:
c = fx.read()
fp = find_tex_file_ignore_case(fp)
if fp:
with open(fp, 'r', encoding='utf-8', errors='replace') as fx: c = fx.read()
else:
raise RuntimeError(f'找不到{fp}Tex源文件缺失')
c = merge_tex_files_(project_foler, c, mode)
main_file = main_file[:s.span()[0]] + c + main_file[s.span()[1]:]
return main_file
@ -326,6 +353,7 @@ def split_subprocess(txt, project_folder, return_dict, opts):
# reverse 操作必须放在最后
text, mask = reverse_forbidden_text_careful_brace(text, mask, r"\\caption\{(.*?)\}", re.DOTALL, forbid_wrapper=True)
text, mask = reverse_forbidden_text_careful_brace(text, mask, r"\\abstract\{(.*?)\}", re.DOTALL, forbid_wrapper=True)
text, mask = reverse_forbidden_text(text, mask, r"\\begin\{abstract\}(.*?)\\end\{abstract\}", re.DOTALL, forbid_wrapper=True)
root = convert_to_linklist(text, mask)
# 修复括号
@ -430,7 +458,7 @@ class LatexPaperSplit():
"""
def __init__(self) -> None:
self.nodes = None
self.msg = "{\\scriptsize\\textbf{警告该PDF由GPT-Academic开源项目调用大语言模型+Latex翻译插件一键生成" + \
self.msg = "*{\\scriptsize\\textbf{警告该PDF由GPT-Academic开源项目调用大语言模型+Latex翻译插件一键生成" + \
"版权归原文作者所有。翻译内容可靠性无保障,请仔细鉴别并以原文为准。" + \
"项目Github地址 \\url{https://github.com/binary-husky/gpt_academic/}。"
# 请您不要删除或修改这行警告除非您是论文的原作者如果您是论文原作者欢迎加REAME中的QQ联系开发者
@ -532,11 +560,11 @@ class LatexPaperFileGroup():
f.write(res)
return manifest
def write_html(sp_file_contents, sp_file_result, chatbot):
def write_html(sp_file_contents, sp_file_result, chatbot, project_folder):
# write html
try:
import copy
import shutil
from .crazy_utils import construct_html
from toolbox import gen_time_str
ch = construct_html()
@ -554,6 +582,7 @@ def write_html(sp_file_contents, sp_file_result, chatbot):
ch.add_row(a=orig, b=trans)
create_report_file_name = f"{gen_time_str()}.trans.html"
ch.save_file(create_report_file_name)
shutil.copyfile(pj('./gpt_log/', create_report_file_name), pj(project_folder, create_report_file_name))
promote_file_to_downloadzone(file=f'./gpt_log/{create_report_file_name}', chatbot=chatbot)
except:
from toolbox import trimmed_format_exc
@ -634,7 +663,7 @@ def Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin
pfg.get_token_num = None
objdump(pfg, file=pj(project_folder,'temp.pkl'))
write_html(pfg.sp_file_contents, pfg.sp_file_result, chatbot=chatbot)
write_html(pfg.sp_file_contents, pfg.sp_file_result, chatbot=chatbot, project_folder=project_folder)
# <-------- 写出文件 ---------->
msg = f"当前大语言模型: {llm_kwargs['llm_model']},当前语言模型温度设定: {llm_kwargs['temperature']}"
@ -671,10 +700,9 @@ def remove_buggy_lines(file_path, log_path, tex_name, tex_name_pure, n_fix, work
print("Fatal error occurred, but we cannot identify error, please download zip, read latex log, and compile manually.")
return False, -1, [-1]
def compile_latex_with_timeout(command, timeout=60):
def compile_latex_with_timeout(command, cwd, timeout=60):
import subprocess
process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=cwd)
try:
stdout, stderr = process.communicate(timeout=timeout)
except subprocess.TimeoutExpired:
@ -698,24 +726,24 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
# https://stackoverflow.com/questions/738755/dont-make-me-manually-abort-a-latex-compile-when-theres-an-error
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译原始PDF ...', chatbot, history) # 刷新Gradio前端界面
os.chdir(work_folder_original); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex'); os.chdir(current_dir)
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex', work_folder_original)
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译转化后的PDF ...', chatbot, history) # 刷新Gradio前端界面
os.chdir(work_folder_modified); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex'); os.chdir(current_dir)
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex', work_folder_modified)
if ok and os.path.exists(pj(work_folder_modified, f'{main_file_modified}.pdf')):
# 只有第二步成功,才能继续下面的步骤
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译BibTex ...', chatbot, history) # 刷新Gradio前端界面
if not os.path.exists(pj(work_folder_original, f'{main_file_original}.bbl')):
os.chdir(work_folder_original); ok = compile_latex_with_timeout(f'bibtex {main_file_original}.aux'); os.chdir(current_dir)
ok = compile_latex_with_timeout(f'bibtex {main_file_original}.aux', work_folder_original)
if not os.path.exists(pj(work_folder_modified, f'{main_file_modified}.bbl')):
os.chdir(work_folder_modified); ok = compile_latex_with_timeout(f'bibtex {main_file_modified}.aux'); os.chdir(current_dir)
ok = compile_latex_with_timeout(f'bibtex {main_file_modified}.aux', work_folder_modified)
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译文献交叉引用 ...', chatbot, history) # 刷新Gradio前端界面
os.chdir(work_folder_original); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex'); os.chdir(current_dir)
os.chdir(work_folder_modified); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex'); os.chdir(current_dir)
os.chdir(work_folder_original); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex'); os.chdir(current_dir)
os.chdir(work_folder_modified); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex'); os.chdir(current_dir)
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex', work_folder_original)
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex', work_folder_modified)
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex', work_folder_original)
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex', work_folder_modified)
if mode!='translate_zh':
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 使用latexdiff生成论文转化前后对比 ...', chatbot, history) # 刷新Gradio前端界面
@ -723,13 +751,11 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
ok = compile_latex_with_timeout(f'latexdiff --encoding=utf8 --append-safecmd=subfile {work_folder_original}/{main_file_original}.tex {work_folder_modified}/{main_file_modified}.tex --flatten > {work_folder}/merge_diff.tex')
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 正在编译对比PDF ...', chatbot, history) # 刷新Gradio前端界面
os.chdir(work_folder); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex'); os.chdir(current_dir)
os.chdir(work_folder); ok = compile_latex_with_timeout(f'bibtex merge_diff.aux'); os.chdir(current_dir)
os.chdir(work_folder); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex'); os.chdir(current_dir)
os.chdir(work_folder); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex'); os.chdir(current_dir)
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex', work_folder)
ok = compile_latex_with_timeout(f'bibtex merge_diff.aux', work_folder)
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex', work_folder)
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex', work_folder)
# <--------------------->
os.chdir(current_dir)
# <---------- 检查结果 ----------->
results_ = ""
@ -741,13 +767,15 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
results_ += f"对比PDF编译是否成功: {diff_pdf_success};"
yield from update_ui_lastest_msg(f'{n_fix}编译结束:<br/>{results_}...', chatbot, history) # 刷新Gradio前端界面
if diff_pdf_success:
result_pdf = pj(work_folder_modified, f'merge_diff.pdf') # get pdf path
promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot) # promote file to web UI
if modified_pdf_success:
yield from update_ui_lastest_msg(f'转化PDF编译已经成功, 即将退出 ...', chatbot, history) # 刷新Gradio前端界面
os.chdir(current_dir)
result_pdf = pj(work_folder_modified, f'{main_file_modified}.pdf')
result_pdf = pj(work_folder_modified, f'{main_file_modified}.pdf') # get pdf path
if os.path.exists(pj(work_folder, '..', 'translation')):
shutil.copyfile(result_pdf, pj(work_folder, '..', 'translation', 'translate_zh.pdf'))
promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot)
promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot) # promote file to web UI
return True # 成功啦
else:
if n_fix>=max_try: break
@ -763,7 +791,6 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
yield from update_ui_lastest_msg(f'由于最为关键的转化PDF编译失败, 将根据报错信息修正tex源文件并重试, 当前报错的latex代码处于第{buggy_lines}行 ...', chatbot, history) # 刷新Gradio前端界面
if not can_retry: break
os.chdir(current_dir)
return False # 失败啦

View File

@ -27,8 +27,10 @@ def gen_image(llm_kwargs, prompt, resolution="256x256"):
}
response = requests.post(url, headers=headers, json=data, proxies=proxies)
print(response.content)
image_url = json.loads(response.content.decode('utf8'))['data'][0]['url']
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 = 'gpt_log/image_gen/'

View File

@ -1,5 +1,5 @@
from toolbox import CatchException, report_execption, write_results_to_file
from toolbox import update_ui
from toolbox import update_ui, promote_file_to_downloadzone
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
from .crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
from .crazy_utils import read_and_clean_pdf_text
@ -147,23 +147,14 @@ def 解析PDF(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot,
print('writing html result failed:', trimmed_format_exc())
# 准备文件的下载
import shutil
for pdf_path in generated_conclusion_files:
# 重命名文件
rename_file = f'./gpt_log/翻译-{os.path.basename(pdf_path)}'
if os.path.exists(rename_file):
os.remove(rename_file)
shutil.copyfile(pdf_path, rename_file)
if os.path.exists(pdf_path):
os.remove(pdf_path)
rename_file = f'翻译-{os.path.basename(pdf_path)}'
promote_file_to_downloadzone(pdf_path, rename_file=rename_file, chatbot=chatbot)
for html_path in generated_html_files:
# 重命名文件
rename_file = f'./gpt_log/翻译-{os.path.basename(html_path)}'
if os.path.exists(rename_file):
os.remove(rename_file)
shutil.copyfile(html_path, rename_file)
if os.path.exists(html_path):
os.remove(html_path)
rename_file = f'翻译-{os.path.basename(html_path)}'
promote_file_to_downloadzone(html_path, rename_file=rename_file, chatbot=chatbot)
chatbot.append(("给出输出文件清单", str(generated_conclusion_files + generated_html_files)))
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面

View File

@ -13,7 +13,9 @@ def 解析PDF(file_name, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
# 递归地切割PDF文件每一块尽量是完整的一个section比如introductionexperiment等必要时再进行切割
# 的长度必须小于 2500 个 Token
file_content, page_one = read_and_clean_pdf_text(file_name) # 尝试按照章节切割PDF
file_content = file_content.encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars
page_one = str(page_one).encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars
TOKEN_LIMIT_PER_FRAGMENT = 2500
from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf

View File

@ -0,0 +1,102 @@
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
def bing_search(query, proxies=None):
query = query
url = f"https://cn.bing.com/search?q={query}"
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.61 Safari/537.36'}
response = requests.get(url, headers=headers, proxies=proxies)
soup = BeautifulSoup(response.content, 'html.parser')
results = []
for g in soup.find_all('li', class_='b_algo'):
anchors = g.find_all('a')
if anchors:
link = anchors[0]['href']
if not link.startswith('http'):
continue
title = g.find('h2').text
item = {'title': title, 'link': link}
results.append(item)
for r in results:
print(r['link'])
return results
def scrape_text(url, proxies) -> str:
"""Scrape text from a webpage
Args:
url (str): The URL to scrape text from
Returns:
str: The scraped text
"""
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.61 Safari/537.36',
'Content-Type': 'text/plain',
}
try:
response = requests.get(url, headers=headers, proxies=proxies, timeout=8)
if response.encoding == "ISO-8859-1": response.encoding = response.apparent_encoding
except:
return "无法连接到该网页"
soup = BeautifulSoup(response.text, "html.parser")
for script in soup(["script", "style"]):
script.extract()
text = soup.get_text()
lines = (line.strip() for line in text.splitlines())
chunks = (phrase.strip() for line in lines for phrase in line.split(" "))
text = "\n".join(chunk for chunk in chunks if chunk)
return text
@CatchException
def 连接bing搜索回答问题(txt, 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
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((f"请结合互联网信息回答以下问题:{txt}",
"[Local Message] 请注意,您正在调用一个[函数插件]的模板该模板可以实现ChatGPT联网信息综合。该函数面向希望实现更多有趣功能的开发者它可以作为创建新功能函数的模板。您若希望分享新的功能模组请不吝PR"))
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
# ------------- < 第1步爬取搜索引擎的结果 > -------------
from toolbox import get_conf
proxies, = get_conf('proxies')
urls = bing_search(txt, proxies)
history = []
# ------------- < 第2步依次访问网页 > -------------
max_search_result = 8 # 最多收纳多少个网页的结果
for index, url in enumerate(urls[:max_search_result]):
res = scrape_text(url['link'], proxies)
history.extend([f"{index}份搜索结果:", res])
chatbot.append([f"{index}份搜索结果:", res[:500]+"......"])
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
# ------------- < 第3步ChatGPT综合 > -------------
i_say = f"从以上搜索结果中抽取信息,然后回答问题:{txt}"
i_say, history = input_clipping( # 裁剪输入从最长的条目开始裁剪防止爆token
inputs=i_say,
history=history,
max_token_limit=model_info[llm_kwargs['llm_model']]['max_token']*3//4
)
gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
inputs=i_say, inputs_show_user=i_say,
llm_kwargs=llm_kwargs, chatbot=chatbot, history=history,
sys_prompt="请从给定的若干条搜索结果中抽取信息,对最相关的两个搜索结果进行总结,然后回答问题。"
)
chatbot[-1] = (i_say, gpt_say)
history.append(i_say);history.append(gpt_say)
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新

View File

@ -1,6 +1,7 @@
from toolbox import CatchException, update_ui
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
import datetime
import datetime, re
@CatchException
def 高阶功能模板函数(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
"""
@ -18,12 +19,34 @@ def 高阶功能模板函数(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
for i in range(5):
currentMonth = (datetime.date.today() + datetime.timedelta(days=i)).month
currentDay = (datetime.date.today() + datetime.timedelta(days=i)).day
i_say = f'历史中哪些事件发生在{currentMonth}{currentDay}日?列举两条并发送相关图片。发送图片时,使用Markdown将Unsplash API中的PUT_YOUR_QUERY_HERE替换成描述该事件的一个最重要的单词'
i_say = f'历史中哪些事件发生在{currentMonth}{currentDay}日?用中文列举两条,然后分别给出描述事件的两个英文单词。' + '当你给出关键词时,使用以下json格式{"KeyWords":[EnglishKeyWord1,EnglishKeyWord2]}'
gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
inputs=i_say, inputs_show_user=i_say,
llm_kwargs=llm_kwargs, chatbot=chatbot, history=[],
sys_prompt="当你想发送一张照片时请使用Markdown, 并且不要有反斜线, 不要用代码块。使用 Unsplash API (https://source.unsplash.com/1280x720/? < PUT_YOUR_QUERY_HERE >)。"
sys_prompt='输出格式示例1908年美国消防救援事业发展的“美国消防协会”成立。关键词{"KeyWords":["Fire","American"]}。'
)
gpt_say = get_images(gpt_say)
chatbot[-1] = (i_say, gpt_say)
history.append(i_say);history.append(gpt_say)
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新
def get_images(gpt_say):
def get_image_by_keyword(keyword):
import requests
from bs4 import BeautifulSoup
response = requests.get(f'https://wallhaven.cc/search?q={keyword}', timeout=2)
for image_element in BeautifulSoup(response.content, 'html.parser').findAll("img"):
if "data-src" in image_element: break
return image_element["data-src"]
for keywords in re.findall('{"KeyWords":\[(.*?)\]}', gpt_say):
keywords = [n.strip('"') for n in keywords.split(',')]
try:
description = keywords[0]
url = get_image_by_keyword(keywords[0])
img_tag = f"\n\n![{description}]({url})"
gpt_say += img_tag
except:
continue
return gpt_say

11
main.py
View File

@ -6,8 +6,8 @@ def main():
from request_llm.bridge_all import predict
from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, DummyWith
# 建议您复制一个config_private.py放自己的秘密, 如API和代理网址, 避免不小心传github被别人看到
proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, API_KEY, AVAIL_LLM_MODELS = \
get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY', 'AVAIL_LLM_MODELS')
proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, API_KEY, AVAIL_LLM_MODELS, AUTO_CLEAR_TXT = \
get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY', 'AVAIL_LLM_MODELS', 'AUTO_CLEAR_TXT')
# 如果WEB_PORT是-1, 则随机选取WEB端口
PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
@ -104,7 +104,7 @@ def main():
system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt)
top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
max_length_sl = gr.Slider(minimum=256, maximum=4096, value=512, step=1, interactive=True, label="Local LLM MaxLength",)
max_length_sl = gr.Slider(minimum=256, maximum=8192, value=4096, step=1, interactive=True, label="Local LLM MaxLength",)
checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区", "底部输入区", "输入清除键", "插件参数区"], value=["基础功能区", "函数插件区"], label="显示/隐藏功能区")
md_dropdown = gr.Dropdown(AVAIL_LLM_MODELS, value=LLM_MODEL, label="更换LLM模型/请求源").style(container=False)
@ -144,6 +144,11 @@ def main():
resetBtn2.click(lambda: ([], [], "已重置"), None, [chatbot, history, status])
clearBtn.click(lambda: ("",""), None, [txt, txt2])
clearBtn2.click(lambda: ("",""), None, [txt, txt2])
if AUTO_CLEAR_TXT:
submitBtn.click(lambda: ("",""), None, [txt, txt2])
submitBtn2.click(lambda: ("",""), None, [txt, txt2])
txt.submit(lambda: ("",""), None, [txt, txt2])
txt2.submit(lambda: ("",""), None, [txt, txt2])
# 基础功能区的回调函数注册
for k in functional:
if ("Visible" in functional[k]) and (not functional[k]["Visible"]): continue

View File

@ -152,7 +152,7 @@ model_info = {
"token_cnt": get_token_num_gpt4,
},
# chatglm
# chatglm 直接对齐到 chatglm2
"chatglm": {
"fn_with_ui": chatglm_ui,
"fn_without_ui": chatglm_noui,
@ -161,6 +161,15 @@ model_info = {
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
},
"chatglm2": {
"fn_with_ui": chatglm_ui,
"fn_without_ui": chatglm_noui,
"endpoint": None,
"max_token": 1024,
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
},
# newbing
"newbing": {
"fn_with_ui": newbing_ui,

View File

@ -40,12 +40,12 @@ class GetGLMHandle(Process):
while True:
try:
if self.chatglm_model is None:
self.chatglm_tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
self.chatglm_tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True)
device, = get_conf('LOCAL_MODEL_DEVICE')
if device=='cpu':
self.chatglm_model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).float()
self.chatglm_model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True).float()
else:
self.chatglm_model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
self.chatglm_model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True).half().cuda()
self.chatglm_model = self.chatglm_model.eval()
break
else:

View File

@ -498,7 +498,7 @@ def on_report_generated(cookies, files, chatbot):
else:
report_files = find_recent_files('gpt_log')
if len(report_files) == 0:
return None, chatbot
return cookies, None, chatbot
# files.extend(report_files)
file_links = ''
for f in report_files: file_links += f'<br/><a href="file={os.path.abspath(f)}" target="_blank">{f}</a>'

View File

@ -1,5 +1,5 @@
{
"version": 3.41,
"version": 3.42,
"show_feature": true,
"new_feature": "增加gpt-3.5-16k的支持 <-> 新增最强Arxiv论文翻译插件 <-> 修复gradio复制按钮BUG <-> 修复PDF翻译的BUG, 新增HTML中英双栏对照 <-> 添加了OpenAI图片生成插件 <-> 添加了OpenAI音频转文本总结插件 <-> 通过Slack添加对Claude的支持"
"new_feature": "完善本地Latex矫错和翻译功能 <-> 增加gpt-3.5-16k的支持 <-> 新增最强Arxiv论文翻译插件 <-> 修复gradio复制按钮BUG <-> 修复PDF翻译的BUG, 新增HTML中英双栏对照 <-> 添加了OpenAI图片生成插件 <-> 添加了OpenAI音频转文本总结插件 <-> 通过Slack添加对Claude的支持"
}