Merge branch 'frontier' of https://github.com/binary-husky/chatgpt_academic into frontier

这个提交包含在:
qingxu fu
2023-11-19 21:50:15 +08:00
当前提交 e5cd66a2f7
共有 116 个文件被更改,包括 5604 次插入3530 次删除

查看文件

@@ -1,5 +1,5 @@
from toolbox import update_ui, trimmed_format_exc, promote_file_to_downloadzone, get_log_folder
from toolbox import CatchException, report_execption, write_history_to_file, zip_folder
from toolbox import CatchException, report_exception, write_history_to_file, zip_folder
class PaperFileGroup():
@@ -11,7 +11,7 @@ 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
@@ -146,7 +146,7 @@ def Latex英文润色(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
@@ -157,12 +157,12 @@ def Latex英文润色(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
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)]
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 多文件润色(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='en')
@@ -184,7 +184,7 @@ def Latex中文润色(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
@@ -195,12 +195,12 @@ def Latex中文润色(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
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)]
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 多文件润色(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='zh')
@@ -220,7 +220,7 @@ def Latex英文纠错(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
@@ -231,12 +231,12 @@ def Latex英文纠错(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
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)]
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 多文件润色(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='en', mode='proofread')

查看文件

@@ -1,5 +1,5 @@
from toolbox import update_ui, promote_file_to_downloadzone
from toolbox import CatchException, report_execption, write_history_to_file
from toolbox import CatchException, report_exception, write_history_to_file
fast_debug = False
class PaperFileGroup():
@@ -11,7 +11,7 @@ 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
@@ -117,7 +117,7 @@ def Latex英译中(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom
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
@@ -128,12 +128,12 @@ def Latex英译中(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom
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)]
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 多文件翻译(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='en->zh')
@@ -154,7 +154,7 @@ def Latex中译英(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom
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
@@ -165,12 +165,12 @@ def Latex中译英(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom
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)]
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 多文件翻译(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='zh->en')

查看文件

@@ -1,5 +1,5 @@
from toolbox import update_ui, trimmed_format_exc, get_conf, get_log_folder, promote_file_to_downloadzone
from toolbox import CatchException, report_execption, update_ui_lastest_msg, zip_result, gen_time_str
from toolbox import CatchException, report_exception, update_ui_lastest_msg, zip_result, gen_time_str
from functools import partial
import glob, os, requests, time
pj = os.path.join
@@ -129,7 +129,7 @@ def arxiv_download(chatbot, history, txt, allow_cache=True):
yield from update_ui_lastest_msg("调用缓存", chatbot=chatbot, history=history) # 刷新界面
else:
yield from update_ui_lastest_msg("开始下载", chatbot=chatbot, history=history) # 刷新界面
proxies, = get_conf('proxies')
proxies = get_conf('proxies')
r = requests.get(url_tar, proxies=proxies)
with open(dst, 'wb+') as f:
f.write(r.content)
@@ -171,12 +171,12 @@ def Latex英文纠错加PDF对比(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)]
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
@@ -249,7 +249,7 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
history = []
txt, arxiv_id = yield from arxiv_download(chatbot, history, txt, allow_cache)
if txt.endswith('.pdf'):
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")
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")
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
return
@@ -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
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法处理: {txt}")
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}")
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:
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

查看文件

@@ -1,8 +1,8 @@
from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, ProxyNetworkActivate
from toolbox import report_execption, get_log_folder, update_ui_lastest_msg, Singleton
from toolbox import report_exception, get_log_folder, update_ui_lastest_msg, Singleton
from crazy_functions.agent_fns.pipe import PluginMultiprocessManager, PipeCom
from crazy_functions.agent_fns.autogen_general import AutoGenGeneral
import time
from crazy_functions.agent_fns.general import AutoGenGeneral
class AutoGenMath(AutoGenGeneral):

查看文件

@@ -1,85 +0,0 @@
from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, ProxyNetworkActivate
from toolbox import report_execption, get_log_folder, update_ui_lastest_msg, Singleton
from crazy_functions.agent_fns.pipe import PluginMultiprocessManager, PipeCom
import time
class AutoGenGeneral(PluginMultiprocessManager):
def gpt_academic_print_override(self, user_proxy, message, sender):
# ⭐⭐ 子进程执行
self.child_conn.send(PipeCom("show", sender.name + '\n\n---\n\n' + message['content']))
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)

查看文件

@@ -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

查看文件

@@ -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

查看文件

@@ -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:

查看文件

@@ -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

查看文件

@@ -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']

查看文件

@@ -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=()))

查看文件

@@ -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

查看文件

@@ -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。",

查看文件

@@ -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

查看文件

@@ -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

查看文件

@@ -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

查看文件

@@ -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

查看文件

@@ -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"{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

查看文件

@@ -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

查看文件

@@ -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

查看文件

@@ -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)

查看文件

@@ -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)

查看文件

@@ -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(

查看文件

@@ -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

查看文件

@@ -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)

查看文件

@@ -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:

查看文件

@@ -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:

查看文件

@@ -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

查看文件

@@ -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

查看文件

@@ -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)

查看文件

@@ -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,

查看文件

@@ -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

查看文件

@@ -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)

查看文件

@@ -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