Version 3.56 - Merge branch 'frontier'
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@@ -200,7 +200,8 @@ PATH_LOGGING = "gpt_log"
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# 除了连接OpenAI之外，还有哪些场合允许使用代理，请勿修改
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WHEN_TO_USE_PROXY = ["Download_LLM", "Download_Gradio_Theme", "Connect_Grobid", "Warmup_Modules"]
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WHEN_TO_USE_PROXY = ["Download_LLM", "Download_Gradio_Theme", "Connect_Grobid",
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"Warmup_Modules", "Nougat_Download", "AutoGen"]
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# 自定义按钮的最大数量限制
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@@ -539,6 +539,18 @@ def get_crazy_functions():
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except:
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print('Load function plugin failed')
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# try:
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# from crazy_functions.多智能体 import 多智能体终端
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# function_plugins.update({
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# "多智能体终端（微软AutoGen）": {
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# "Group": "智能体",
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# "Color": "stop",
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# "AsButton": True,
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# "Function": HotReload(多智能体终端)
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# }
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# })
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# except:
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# print('Load function plugin failed')
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# try:
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# from crazy_functions.chatglm微调工具 import 微调数据集生成
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@@ -0,0 +1,23 @@
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from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, ProxyNetworkActivate
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from toolbox import report_execption, get_log_folder, update_ui_lastest_msg, Singleton
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from crazy_functions.agent_fns.pipe import PluginMultiprocessManager, PipeCom
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from crazy_functions.agent_fns.autogen_general import AutoGenGeneral
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import time
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class AutoGenMath(AutoGenGeneral):
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def define_agents(self):
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from autogen import AssistantAgent, UserProxyAgent
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return [
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{
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"name": "assistant", # name of the agent.
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"cls": AssistantAgent, # class of the agent.
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},
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{
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"name": "user_proxy", # name of the agent.
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"cls": UserProxyAgent, # class of the agent.
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"human_input_mode": "ALWAYS", # always ask for human input.
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"llm_config": False, # disables llm-based auto reply.
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},
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]
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@@ -0,0 +1,75 @@
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from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, ProxyNetworkActivate
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from toolbox import report_execption, get_log_folder, update_ui_lastest_msg, Singleton
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from crazy_functions.agent_fns.pipe import PluginMultiprocessManager, PipeCom
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import time
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class AutoGenGeneral(PluginMultiprocessManager):
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def gpt_academic_print_override(self, user_proxy, message, sender):
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# ⭐⭐ 子进程执行
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self.child_conn.send(PipeCom("show", sender.name + '\n\n---\n\n' + message['content']))
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def gpt_academic_get_human_input(self, user_proxy, message):
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# ⭐⭐ 子进程执行
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patience = 300
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begin_waiting_time = time.time()
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self.child_conn.send(PipeCom("interact", message))
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while True:
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time.sleep(0.5)
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if self.child_conn.poll():
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wait_success = True
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break
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if time.time() - begin_waiting_time > patience:
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self.child_conn.send(PipeCom("done", ""))
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wait_success = False
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break
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if wait_success:
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return self.child_conn.recv().content
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else:
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raise TimeoutError("等待用户输入超时")
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def define_agents(self):
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raise NotImplementedError
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def do_audogen(self, input):
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# ⭐⭐ 子进程执行
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input = input.content
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with ProxyNetworkActivate("AutoGen"):
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from autogen import AssistantAgent, UserProxyAgent
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config_list = [{
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'model': self.llm_kwargs['llm_model'],
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'api_key': self.llm_kwargs['api_key'],
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},]
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code_execution_config={"work_dir": self.autogen_work_dir, "use_docker":True}
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agents = self.define_agents()
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user_proxy = None
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assistant = None
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for agent_kwargs in agents:
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agent_cls = agent_kwargs.pop('cls')
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kwargs = {
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'llm_config':{
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"config_list": config_list,
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},
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'code_execution_config':code_execution_config
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}
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kwargs.update(agent_kwargs)
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agent_handle = agent_cls(**kwargs)
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agent_handle._print_received_message = lambda a,b: self.gpt_academic_print_override(agent_kwargs, a, b)
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if agent_kwargs['name'] == 'user_proxy':
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agent_handle.get_human_input = lambda a: self.gpt_academic_get_human_input(user_proxy, a)
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user_proxy = agent_handle
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if agent_kwargs['name'] == 'assistant': assistant = agent_handle
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try:
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if user_proxy is None or assistant is None: raise Exception("用户代理或助理代理未定义")
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user_proxy.initiate_chat(assistant, message=input)
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except Exception as e:
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tb_str = '```\n' + trimmed_format_exc() + '```'
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self.child_conn.send(PipeCom("done", "AutoGen 执行失败: \n\n" + tb_str))
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def subprocess_worker(self, child_conn):
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# ⭐⭐ 子进程执行
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self.child_conn = child_conn
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while True:
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msg = self.child_conn.recv() # PipeCom
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self.do_audogen(msg)
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@@ -0,0 +1,19 @@
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from crazy_functions.agent_fns.pipe import PluginMultiprocessManager, PipeCom
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class EchoDemo(PluginMultiprocessManager):
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def subprocess_worker(self, child_conn):
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# ⭐⭐ 子进程
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self.child_conn = child_conn
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while True:
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msg = self.child_conn.recv() # PipeCom
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if msg.cmd == "user_input":
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# wait futher user input
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self.child_conn.send(PipeCom("show", msg.content))
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wait_success = self.subprocess_worker_wait_user_feedback(wait_msg="我准备好处理下一个问题了.")
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if not wait_success:
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# wait timeout, terminate this subprocess_worker
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break
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elif msg.cmd == "terminate":
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self.child_conn.send(PipeCom("done", ""))
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break
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print('[debug] subprocess_worker terminated')
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@@ -0,0 +1,16 @@
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from toolbox import Singleton
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@Singleton
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class GradioMultiuserManagerForPersistentClasses():
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def __init__(self):
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self.mapping = {}
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def already_alive(self, key):
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return (key in self.mapping) and (self.mapping[key].is_alive())
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def set(self, key, x):
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self.mapping[key] = x
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return self.mapping[key]
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def get(self, key):
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return self.mapping[key]
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@@ -0,0 +1,150 @@
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from toolbox import get_log_folder, update_ui, gen_time_str, trimmed_format_exc, promote_file_to_downloadzone
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import time, os
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class PipeCom():
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def __init__(self, cmd, content) -> None:
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self.cmd = cmd
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self.content = content
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class PluginMultiprocessManager():
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def __init__(self, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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# ⭐ 主进程
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self.autogen_work_dir = os.path.join(get_log_folder('autogen'), gen_time_str())
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self.previous_work_dir_files = {}
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self.llm_kwargs = llm_kwargs
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self.plugin_kwargs = plugin_kwargs
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self.chatbot = chatbot
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self.history = history
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self.system_prompt = system_prompt
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self.web_port = web_port
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self.alive = True
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def is_alive(self):
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return self.alive
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def launch_subprocess_with_pipe(self):
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# ⭐ 主进程
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from multiprocessing import Process, Pipe
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parent_conn, child_conn = Pipe()
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self.p = Process(target=self.subprocess_worker, args=(child_conn,))
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self.p.daemon = True
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self.p.start()
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return parent_conn
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def terminate(self):
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self.p.terminate()
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self.alive = False
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print('[debug] instance terminated')
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def subprocess_worker(self, child_conn):
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# ⭐⭐ 子进程
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raise NotImplementedError
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def send_command(self, cmd):
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# ⭐ 主进程
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self.parent_conn.send(PipeCom("user_input", cmd))
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def immediate_showoff_when_possible(self, fp):
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# ⭐ 主进程
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# 获取fp的拓展名
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file_type = fp.split('.')[-1]
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# 如果是文本文件, 则直接显示文本内容
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if file_type in ['png', 'jpg']:
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image_path = os.path.abspath(fp)
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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>'])
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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def overwatch_workdir_file_change(self):
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# ⭐ 主进程 Docker 外挂文件夹监控
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path_to_overwatch = self.autogen_work_dir
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change_list = []
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# 扫描路径下的所有文件, 并与self.previous_work_dir_files中所记录的文件进行对比，
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# 如果有新文件出现，或者文件的修改时间发生变化，则更新self.previous_work_dir_files中
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# 把新文件和发生变化的文件的路径记录到 change_list 中
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for root, dirs, files in os.walk(path_to_overwatch):
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for file in files:
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file_path = os.path.join(root, file)
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if file_path not in self.previous_work_dir_files.keys():
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last_modified_time = os.stat(file_path).st_mtime
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self.previous_work_dir_files.update({file_path:last_modified_time})
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change_list.append(file_path)
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else:
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last_modified_time = os.stat(file_path).st_mtime
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if last_modified_time != self.previous_work_dir_files[file_path]:
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self.previous_work_dir_files[file_path] = last_modified_time
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change_list.append(file_path)
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if len(change_list) > 0:
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file_links = ''
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for f in change_list:
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res = promote_file_to_downloadzone(f)
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file_links += f'<br/><a href="file={res}" target="_blank">{res}</a>'
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yield from self.immediate_showoff_when_possible(file_path)
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self.chatbot.append(['检测到新生文档.', f'文档清单如下: {file_links}'])
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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return change_list
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def main_process_ui_control(self, txt, create_or_resume) -> str:
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# ⭐ 主进程
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if create_or_resume == 'create':
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self.cnt = 1
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self.parent_conn = self.launch_subprocess_with_pipe() # ⭐⭐⭐
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self.send_command(txt)
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if txt == 'exit':
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self.chatbot.append([f"结束", "结束信号已明确，终止AutoGen程序。"])
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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self.terminate()
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return "terminate"
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while True:
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time.sleep(0.5)
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if self.parent_conn.poll():
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if '[GPT-Academic] 等待中' in self.chatbot[-1][-1]:
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self.chatbot.pop(-1) # remove the last line
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msg = self.parent_conn.recv() # PipeCom
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if msg.cmd == "done":
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self.chatbot.append([f"结束", msg.content]); self.cnt += 1
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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self.terminate(); break
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if msg.cmd == "show":
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yield from self.overwatch_workdir_file_change()
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self.chatbot.append([f"运行阶段-{self.cnt}", msg.content]); self.cnt += 1
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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if msg.cmd == "interact":
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yield from self.overwatch_workdir_file_change()
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self.chatbot.append([f"程序抵达用户反馈节点.", msg.content +
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"\n\n等待您的进一步指令." +
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"\n\n(1) 一般情况下您不需要说什么, 清空输入区, 然后直接点击“提交”以继续. " +
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"\n\n(2) 如果您需要补充些什么, 输入要反馈的内容, 直接点击“提交”以继续. " +
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"\n\n(3) 如果您想终止程序, 输入exit, 直接点击“提交”以终止AutoGen并解锁. "
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])
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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# do not terminate here, leave the subprocess_worker instance alive
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return "wait_feedback"
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else:
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if '[GPT-Academic] 等待中' not in self.chatbot[-1][-1]:
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self.chatbot.append(["[GPT-Academic] 等待AutoGen执行结果 ...", "[GPT-Academic] 等待中"])
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self.chatbot[-1] = [self.chatbot[-1][0], self.chatbot[-1][1].replace("[GPT-Academic] 等待中", "[GPT-Academic] 等待中.")]
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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self.terminate()
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return "terminate"
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def subprocess_worker_wait_user_feedback(self, wait_msg="wait user feedback"):
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# ⭐⭐ 子进程
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patience = 5 * 60
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begin_waiting_time = time.time()
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self.child_conn.send(PipeCom("interact", wait_msg))
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while True:
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time.sleep(0.5)
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if self.child_conn.poll():
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wait_success = True
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break
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if time.time() - begin_waiting_time > patience:
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self.child_conn.send(PipeCom("done", ""))
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wait_success = False
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break
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return wait_success
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@@ -721,8 +721,10 @@ class nougat_interface():
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def nougat_with_timeout(self, command, cwd, timeout=3600):
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import subprocess
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from toolbox import ProxyNetworkActivate
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logging.info(f'正在执行命令 {command}')
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process = subprocess.Popen(command, shell=True, cwd=cwd)
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with ProxyNetworkActivate("Nougat_Download"):
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process = subprocess.Popen(command, shell=True, cwd=cwd, env=os.environ)
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try:
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stdout, stderr = process.communicate(timeout=timeout)
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except subprocess.TimeoutExpired:
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@@ -767,54 +769,6 @@ def try_install_deps(deps, reload_m=[]):
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importlib.reload(__import__(m))
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HTML_CSS = """
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.row {
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display: flex;
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flex-wrap: wrap;
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}
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.column {
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flex: 1;
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padding: 10px;
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}
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||||
.table-header {
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font-weight: bold;
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border-bottom: 1px solid black;
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}
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||||
.table-row {
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border-bottom: 1px solid lightgray;
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||||
}
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||||
.table-cell {
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||||
padding: 5px;
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||||
}
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||||
"""
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||||
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TABLE_CSS = """
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||||
<div class="row table-row">
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<div class="column table-cell">REPLACE_A</div>
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<div class="column table-cell">REPLACE_B</div>
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||||
</div>
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||||
"""
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||||
|
||||
class construct_html():
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||||
def __init__(self) -> None:
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self.css = HTML_CSS
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||||
self.html_string = f'<!DOCTYPE html><head><meta charset="utf-8"><title>翻译结果</title><style>{self.css}</style></head>'
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||||
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||||
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def add_row(self, a, b):
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tmp = TABLE_CSS
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from toolbox import markdown_convertion
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tmp = tmp.replace('REPLACE_A', markdown_convertion(a))
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tmp = tmp.replace('REPLACE_B', markdown_convertion(b))
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self.html_string += tmp
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||||
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||||
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def save_file(self, file_name):
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with open(os.path.join(get_log_folder(), file_name), 'w', encoding='utf8') as f:
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f.write(self.html_string.encode('utf-8', 'ignore').decode())
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return os.path.join(get_log_folder(), file_name)
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||||
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||||
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||||
def get_plugin_arg(plugin_kwargs, key, default):
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# 如果参数是空的
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||||
if (key in plugin_kwargs) and (plugin_kwargs[key] == ""): plugin_kwargs.pop(key)
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||||
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||||
@@ -423,7 +423,7 @@ def write_html(sp_file_contents, sp_file_result, chatbot, project_folder):
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# write html
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||||
try:
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import shutil
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||||
from ..crazy_utils import construct_html
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||||
from crazy_functions.pdf_fns.report_gen_html import construct_html
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||||
from toolbox import gen_time_str
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||||
ch = construct_html()
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||||
orig = ""
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||||
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||||
@@ -308,7 +308,10 @@ def merge_tex_files_(project_foler, main_file, mode):
|
||||
fp = os.path.join(project_foler, f)
|
||||
fp_ = find_tex_file_ignore_case(fp)
|
||||
if fp_:
|
||||
try:
|
||||
with open(fp_, 'r', encoding='utf-8', errors='replace') as fx: c = fx.read()
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||||
except:
|
||||
c = f"\n\nWarning from GPT-Academic: LaTex source file is missing!\n\n"
|
||||
else:
|
||||
raise RuntimeError(f'找不到{fp}，Tex源文件缺失！')
|
||||
c = merge_tex_files_(project_foler, c, mode)
|
||||
@@ -366,6 +369,14 @@ def insert_abstract(tex_content):
|
||||
# insert "abs_str" on the next line
|
||||
modified_tex = tex_content[:end_line_index+1] + '\n\n' + insert_missing_abs_str + '\n\n' + tex_content[end_line_index+1:]
|
||||
return modified_tex
|
||||
elif r"\begin{document}" in tex_content:
|
||||
# find the position of "\maketitle"
|
||||
find_index = tex_content.index(r"\begin{document}")
|
||||
# find the nearest ending line
|
||||
end_line_index = tex_content.find("\n", find_index)
|
||||
# insert "abs_str" on the next line
|
||||
modified_tex = tex_content[:end_line_index+1] + '\n\n' + insert_missing_abs_str + '\n\n' + tex_content[end_line_index+1:]
|
||||
return modified_tex
|
||||
else:
|
||||
return tex_content
|
||||
|
||||
|
||||
@@ -73,7 +73,7 @@ def produce_report_markdown(gpt_response_collection, meta, paper_meta_info, chat
|
||||
return res_path
|
||||
|
||||
def translate_pdf(article_dict, llm_kwargs, chatbot, fp, generated_conclusion_files, TOKEN_LIMIT_PER_FRAGMENT, DST_LANG):
|
||||
from crazy_functions.crazy_utils import construct_html
|
||||
from crazy_functions.pdf_fns.report_gen_html import construct_html
|
||||
from crazy_functions.crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
|
||||
from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
from crazy_functions.crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
|
||||
|
||||
@@ -0,0 +1,58 @@
|
||||
from toolbox import update_ui, get_conf, trimmed_format_exc, get_log_folder
|
||||
import os
|
||||
|
||||
|
||||
|
||||
|
||||
class construct_html():
|
||||
def __init__(self) -> None:
|
||||
self.html_string = ""
|
||||
|
||||
def add_row(self, a, b):
|
||||
from toolbox import markdown_convertion
|
||||
template = """
|
||||
{
|
||||
primary_col: {
|
||||
header: String.raw`__PRIMARY_HEADER__`,
|
||||
msg: String.raw`__PRIMARY_MSG__`,
|
||||
},
|
||||
secondary_rol: {
|
||||
header: String.raw`__SECONDARY_HEADER__`,
|
||||
msg: String.raw`__SECONDARY_MSG__`,
|
||||
}
|
||||
},
|
||||
"""
|
||||
def std(str):
|
||||
str = str.replace(r'`',r'`')
|
||||
if str.endswith("\\"): str += ' '
|
||||
if str.endswith("}"): str += ' '
|
||||
if str.endswith("$"): str += ' '
|
||||
return str
|
||||
|
||||
template_ = template
|
||||
a_lines = a.split('\n')
|
||||
b_lines = b.split('\n')
|
||||
|
||||
if len(a_lines) == 1 or len(a_lines[0]) > 50:
|
||||
template_ = template_.replace("__PRIMARY_HEADER__", std(a[:20]))
|
||||
template_ = template_.replace("__PRIMARY_MSG__", std(markdown_convertion(a)))
|
||||
else:
|
||||
template_ = template_.replace("__PRIMARY_HEADER__", std(a_lines[0]))
|
||||
template_ = template_.replace("__PRIMARY_MSG__", std(markdown_convertion('\n'.join(a_lines[1:]))))
|
||||
|
||||
if len(b_lines) == 1 or len(b_lines[0]) > 50:
|
||||
template_ = template_.replace("__SECONDARY_HEADER__", std(b[:20]))
|
||||
template_ = template_.replace("__SECONDARY_MSG__", std(markdown_convertion(b)))
|
||||
else:
|
||||
template_ = template_.replace("__SECONDARY_HEADER__", std(b_lines[0]))
|
||||
template_ = template_.replace("__SECONDARY_MSG__", std(markdown_convertion('\n'.join(b_lines[1:]))))
|
||||
self.html_string += template_
|
||||
|
||||
def save_file(self, file_name):
|
||||
from toolbox import get_log_folder
|
||||
with open('crazy_functions/pdf_fns/report_template.html', 'r', encoding='utf8') as f:
|
||||
html_template = f.read()
|
||||
html_template = html_template.replace("__TF_ARR__", self.html_string)
|
||||
with open(os.path.join(get_log_folder(), file_name), 'w', encoding='utf8') as f:
|
||||
f.write(html_template.encode('utf-8', 'ignore').decode())
|
||||
return os.path.join(get_log_folder(), file_name)
|
||||
@@ -0,0 +1,104 @@
|
||||
<!DOCTYPE html>
|
||||
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<script>
|
||||
!function(t,e){"object"==typeof exports&&"undefined"!=typeof module?module.exports=e():"function"==typeof define&&define.amd?define(e):(t="undefined"!=typeof globalThis?globalThis:t||self).Vue=e()}(this,(function(){"use strict";var t=Object.freeze({}),e=Array.isArray;function n(t){return null==t}function r(t){return null!=t}function o(t){return!0===t}function i(t){return"string"==typeof t||"number"==typeof t||"symbol"==typeof t||"boolean"==typeof t}function a(t){return"function"==typeof t}function s(t){return null!==t&&"object"==typeof t}var c=Object.prototype.toString;function u(t){return"[object Object]"===c.call(t)}function l(t){var e=parseFloat(String(t));return e>=0&&Math.floor(e)===e&&isFinite(t)}function f(t){return r(t)&&"function"==typeof t.then&&"function"==typeof t.catch}function d(t){return null==t?"":Array.isArray(t)||u(t)&&t.toString===c?JSON.stringify(t,null,2):String(t)}function p(t){var e=parseFloat(t);return isNaN(e)?t:e}function v(t,e){for(var n=Object.create(null),r=t.split(","),o=0;o<r.length;o++)n[r[o]]=!0;return e?function(t){return n[t.toLowerCase()]}:function(t){return n[t]}}var h=v("slot,component",!0),m=v("key,ref,slot,slot-scope,is");function g(t,e){var n=t.length;if(n){if(e===t[n-1])return void(t.length=n-1);var r=t.indexOf(e);if(r>-1)return t.splice(r,1)}}var y=Object.prototype.hasOwnProperty;function _(t,e){return y.call(t,e)}function b(t){var e=Object.create(null);return function(n){return e[n]||(e[n]=t(n))}}var $=/-(\w)/g,w=b((function(t){return t.replace($,(function(t,e){return e?e.toUpperCase():""}))})),x=b((function(t){return t.charAt(0).toUpperCase()+t.slice(1)})),C=/\B([A-Z])/g,k=b((function(t){return t.replace(C,"-$1").toLowerCase()}));var S=Function.prototype.bind?function(t,e){return t.bind(e)}:function(t,e){function n(n){var r=arguments.length;return r?r>1?t.apply(e,arguments):t.call(e,n):t.call(e)}return n._length=t.length,n};function O(t,e){e=e||0;for(var n=t.length-e,r=new Array(n);n--;)r[n]=t[n+e];return r}function T(t,e){for(var n in e)t[n]=e[n];return t}function A(t){for(var e={},n=0;n<t.length;n++)t[n]&&T(e,t[n]);return e}function j(t,e,n){}var E=function(t,e,n){return!1},N=function(t){return t};function P(t,e){if(t===e)return!0;var n=s(t),r=s(e);if(!n||!r)return!n&&!r&&String(t)===String(e);try{var o=Array.isArray(t),i=Array.isArray(e);if(o&&i)return t.length===e.length&&t.every((function(t,n){return P(t,e[n])}));if(t instanceof Date&&e instanceof Date)return t.getTime()===e.getTime();if(o||i)return!1;var a=Object.keys(t),c=Object.keys(e);return a.length===c.length&&a.every((function(n){return P(t[n],e[n])}))}catch(t){return!1}}function D(t,e){for(var n=0;n<t.length;n++)if(P(t[n],e))return n;return-1}function M(t){var e=!1;return function(){e||(e=!0,t.apply(this,arguments))}}function I(t,e){return t===e?0===t&&1/t!=1/e:t==t||e==e}var L="data-server-rendered",R=["component","directive","filter"],F=["beforeCreate","created","beforeMount","mounted","beforeUpdate","updated","beforeDestroy","destroyed","activated","deactivated","errorCaptured","serverPrefetch","renderTracked","renderTriggered"],H={optionMergeStrategies:Object.create(null),silent:!1,productionTip:!1,devtools:!1,performance:!1,errorHandler:null,warnHandler:null,ignoredElements:[],keyCodes:Object.create(null),isReservedTag:E,isReservedAttr:E,isUnknownElement:E,getTagNamespace:j,parsePlatformTagName:N,mustUseProp:E,async:!0,_lifecycleHooks:F},B=/a-zA-Z\u00B7\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u037D\u037F-\u1FFF\u200C-\u200D\u203F-\u2040\u2070-\u218F\u2C00-\u2FEF\u3001-\uD7FF\uF900-\uFDCF\uFDF0-\uFFFD/;function U(t){var e=(t+"").charCodeAt(0);return 36===e||95===e}function z(t,e,n,r){Object.defineProperty(t,e,{value:n,enumerable:!!r,writable:!0,configurable:!0})}var V=new RegExp("[^".concat(B.source,".$_\\d]"));var K="__proto__"in{},J="undefined"!=typeof window,q=J&&window.navigator.userAgent.toLowerCase(),W=q&&/msie|trident/.test(q),Z=q&&q.indexOf("msie 9.0")>0,G=q&&q.indexOf("edge/")>0;q&&q.indexOf("android");var X=q&&/iphone|ipad|ipod|ios/.test(q);q&&/chrome\/\d+/.test(q),q&&/phantomjs/.test(q);var Y,Q=q&&q.match(/firefox\/(\d+)/),tt={}.watch,et=!1;if(J)try{var nt={};Object.defineProperty(nt,"passive",{get:function(){et=!0}}),window.addEventListener("test-passive",null,nt)}catch(t){}var rt=function(){return void 0===Y&&(Y=!J&&"undefined"!=typeof global&&(global.process&&"server"===global.process.env.VUE_ENV)),Y},ot=J&&window.__VUE_DEVTOOLS_GLOBAL_HOOK__;function it(t){return"function"==typeof t&&/native code/.test(t.toString())}var at,st="undefined"!=typeof Symbol&&it(Symbol)&&"undefined"!=typeof Reflect&&it(Reflect.ownKeys);at="undefined"!=typeof Set&&it(Set)?Set:function(){function t(){this.set=Object.create(null)}return t.prototype.has=function(t){return!0===this.set[t]},t.prototype.add=function(t){this.set[t]=!0},t.prototype.clear=function(){this.set=Object.create(null)},t}();var ct=null;function ut(t){void 0===t&&(t=null),t||ct&&ct._scope.off(),ct=t,t&&t._scope.on()}var lt=function(){functionLine truncated
|
||||
</script>
|
||||
<title>__TITLE__</title>
|
||||
<style>
|
||||
.row {
|
||||
display: flex;
|
||||
flex-wrap: wrap;
|
||||
}
|
||||
|
||||
.column {
|
||||
flex: 1;
|
||||
padding: 10px;
|
||||
}
|
||||
|
||||
.table-header {
|
||||
font-weight: bold;
|
||||
border-bottom: 1px solid black;
|
||||
}
|
||||
|
||||
/* 更换卡片背景色 */
|
||||
.table-row {
|
||||
border-bottom: 1px solid lightgray;
|
||||
}
|
||||
|
||||
.table-cell {
|
||||
padding: 5px;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<!-- 更换整体页面背景色 -->
|
||||
|
||||
<body style="padding: 0 200px;background-color: #f5f5f5;">
|
||||
<div id="app">
|
||||
<h1 style="padding-left: 20px;font-size: 40px;">文章目录</h1>
|
||||
|
||||
<ul>
|
||||
<li v-if="num == 1 || num == 0" v-for="(i,index) in contentList" :key="index"><a :href="`#${i.primary_col.header}`">{{ i.primary_col.header ? i.primary_col.header : '' }}</a></li>
|
||||
<li v-if="num == 2 " v-for="(i,index) in contentList" :key="index"><a :href="`#${i.secondary_rol.header}`">{{i.secondary_rol.header ?i.secondary_rol.header : '' }}</a></li </ul>
|
||||
<!-- 按钮的样式调整 -->
|
||||
<button style="cursor: pointer;cursor: pointer;height: 30px;" @click="showStatus">{{ text }}</button>
|
||||
<!-- border-radius调整圆角弧度 box-shadow调整阴影-->
|
||||
<div class="row table-row" v-for="(i,index) in contentList" :key="index" style="border-radius: 10px;background-color: rgb(255, 255, 255);margin: 40px 0px;padding: 20px 40px;position: relative;box-shadow: 0px 0px 15px -8px;">
|
||||
<div class="column table-cell" v-if="num == 1 || num == 0">
|
||||
<div class="markdown-body">
|
||||
<h1 :id="i.primary_col.header">{{ i.primary_col.header }}</h1>
|
||||
<div v-html="i.primary_col.msg"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="column table-cell" v-if="num == 2 || num == 0">
|
||||
<div class="markdown-body">
|
||||
<h1 :id="i.secondary_rol.header">{{ i.secondary_rol.header }}</h1>
|
||||
<div v-html="i.secondary_rol.msg"></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</body>
|
||||
|
||||
<script>
|
||||
new Vue({
|
||||
el: '#app',
|
||||
data() {
|
||||
return {
|
||||
// 添加内容的数组，示例请看数组底部
|
||||
contentList: [
|
||||
__TF_ARR__
|
||||
],
|
||||
// 控制状态切换的变量
|
||||
num: 0
|
||||
}
|
||||
},
|
||||
computed: {
|
||||
text() {
|
||||
// 对控制状态的变量进行判断处理
|
||||
switch (this.num) {
|
||||
case 0:
|
||||
return '切换英文' //0 -> 英文
|
||||
break;
|
||||
case 1:
|
||||
return '切换中文' // 1-> 中文
|
||||
break;
|
||||
default:
|
||||
return '展示全部' // 其他的 -> '全部'
|
||||
break;
|
||||
}
|
||||
}
|
||||
},
|
||||
methods: {
|
||||
// 切换状态的逻辑
|
||||
showStatus() {
|
||||
if (this.num >= 2) { //如果变量>=2 就将变量置回去
|
||||
this.num = 0
|
||||
} else {
|
||||
this.num++
|
||||
}
|
||||
}
|
||||
},
|
||||
})
|
||||
</script>
|
||||
@@ -0,0 +1,96 @@
|
||||
# 本源代码中, ⭐ = 关键步骤
|
||||
"""
|
||||
测试：
|
||||
- 裁剪图像，保留下半部分
|
||||
- 交换图像的蓝色通道和红色通道
|
||||
- 将图像转为灰度图像
|
||||
- 将csv文件转excel表格
|
||||
|
||||
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.
|
||||
"""
|
||||
|
||||
|
||||
from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, ProxyNetworkActivate
|
||||
from toolbox import get_conf, select_api_key, update_ui_lastest_msg, Singleton
|
||||
from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, get_plugin_arg
|
||||
from crazy_functions.crazy_utils import input_clipping, try_install_deps
|
||||
from crazy_functions.agent_fns.persistent import GradioMultiuserManagerForPersistentClasses
|
||||
from crazy_functions.agent_fns.auto_agent import AutoGenMath
|
||||
import time
|
||||
|
||||
|
||||
@CatchException
|
||||
def 多智能体终端(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
|
||||
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
|
||||
"""
|
||||
# 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']
|
||||
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']}."])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
# 检查当前的模型是否符合要求
|
||||
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
|
||||
return
|
||||
|
||||
# 尝试导入依赖，如果缺少依赖，则给出安装建议
|
||||
try:
|
||||
import autogen, 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```。"])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
# 尝试导入依赖，如果缺少依赖，则给出安装建议
|
||||
try:
|
||||
import autogen
|
||||
import glob, os, time, subprocess
|
||||
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
|
||||
return
|
||||
|
||||
# 解锁插件
|
||||
chatbot.get_cookies()['lock_plugin'] = None
|
||||
persistent_class_multi_user_manager = GradioMultiuserManagerForPersistentClasses()
|
||||
user_uuid = chatbot.get_cookies().get('uuid')
|
||||
persistent_key = f"{user_uuid}->多智能体终端"
|
||||
if persistent_class_multi_user_manager.already_alive(persistent_key):
|
||||
# 当已经存在一个正在运行的多智能体终端时，直接将用户输入传递给它，而不是再次启动一个新的多智能体终端
|
||||
print('[debug] feed new user input')
|
||||
executor = persistent_class_multi_user_manager.get(persistent_key)
|
||||
exit_reason = yield from executor.main_process_ui_control(txt, create_or_resume="resume")
|
||||
else:
|
||||
# 运行多智能体终端 (首次)
|
||||
print('[debug] create new executor instance')
|
||||
history = []
|
||||
chatbot.append(["正在启动: 多智能体终端", "插件动态生成, 执行开始, 作者 Microsoft & Binary-Husky."])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
executor = AutoGenMath(llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port)
|
||||
persistent_class_multi_user_manager.set(persistent_key, executor)
|
||||
exit_reason = yield from executor.main_process_ui_control(txt, create_or_resume="create")
|
||||
|
||||
if exit_reason == "wait_feedback":
|
||||
# 当用户点击了“等待反馈”按钮时，将executor存储到cookie中，等待用户的再次调用
|
||||
executor.chatbot.get_cookies()['lock_plugin'] = 'crazy_functions.多智能体->多智能体终端'
|
||||
else:
|
||||
executor.chatbot.get_cookies()['lock_plugin'] = None
|
||||
yield from update_ui(chatbot=executor.chatbot, history=executor.history) # 更新状态
|
||||
@@ -97,7 +97,8 @@ def 解析PDF_基于NOUGAT(file_manifest, project_folder, llm_kwargs, plugin_kwa
|
||||
generated_conclusion_files = []
|
||||
generated_html_files = []
|
||||
DST_LANG = "中文"
|
||||
from crazy_functions.crazy_utils import nougat_interface, construct_html
|
||||
from crazy_functions.crazy_utils import nougat_interface
|
||||
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
|
||||
|
||||
@@ -63,7 +63,7 @@ def 解析PDF_基于GROBID(file_manifest, project_folder, llm_kwargs, plugin_kwa
|
||||
generated_conclusion_files = []
|
||||
generated_html_files = []
|
||||
DST_LANG = "中文"
|
||||
from crazy_functions.crazy_utils import construct_html
|
||||
from crazy_functions.pdf_fns.report_gen_html import construct_html
|
||||
for index, fp in enumerate(file_manifest):
|
||||
chatbot.append(["当前进度：", f"正在连接GROBID服务，请稍候: {grobid_url}\n如果等待时间过长，请修改config中的GROBID_URL，可修改成本地GROBID服务。"]); yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
article_dict = parse_pdf(fp, grobid_url)
|
||||
@@ -86,7 +86,7 @@ def 解析PDF(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot,
|
||||
TOKEN_LIMIT_PER_FRAGMENT = 1024
|
||||
generated_conclusion_files = []
|
||||
generated_html_files = []
|
||||
from crazy_functions.crazy_utils import construct_html
|
||||
from crazy_functions.pdf_fns.report_gen_html import construct_html
|
||||
for index, fp in enumerate(file_manifest):
|
||||
# 读取PDF文件
|
||||
file_content, page_one = read_and_clean_pdf_text(fp)
|
||||
|
||||
+140
-1
@@ -2649,5 +2649,144 @@
|
||||
"使用zip压缩格式": "Using zip compression format",
|
||||
"受到google限制": "Restricted by Google",
|
||||
"如果是": "If it is",
|
||||
"不用担心": "don't worry"
|
||||
"不用担心": "don't worry",
|
||||
"显示/隐藏自定义菜单": "Show/Hide Custom Menu",
|
||||
"1. 输入文本": "1. Enter Text",
|
||||
"微软AutoGen": "Microsoft AutoGen",
|
||||
"在没有声音之后": "After No Sound",
|
||||
"⭐ 主进程 Docker 外挂文件夹监控": "⭐ Main Process Docker External Folder Monitoring",
|
||||
"请求任务": "Request Task",
|
||||
"推荐上传压缩文件": "Recommend Uploading Compressed File",
|
||||
"我准备好处理下一个问题了": "I'm ready to handle the next question",
|
||||
"输入要反馈的内容": "Enter the content to be feedbacked",
|
||||
"当已经存在一个正在运行的MultiAgentTerminal时": "When there is already a running MultiAgentTerminal",
|
||||
"也根据时间间隔": "Also according to the time interval",
|
||||
"自定义功能": "Custom Function",
|
||||
"上传文件后会自动把输入区修改为相应路径": "After uploading the file, the input area will be automatically modified to the corresponding path",
|
||||
"缺少docker运行环境！": "Missing docker runtime environment!",
|
||||
"暂不支持中转": "Transit is not supported temporarily",
|
||||
"一些第三方接口的出现这样的错误": "Some third-party interfaces encounter such errors",
|
||||
"项目Wiki": "Project Wiki",
|
||||
"但是我们把上一帧同样加上": "But we also add the previous frame",
|
||||
"AutoGen 执行失败": "AutoGen execution failed",
|
||||
"程序抵达用户反馈节点": "The program reaches the user feedback node",
|
||||
"预制功能": "Prefabricated Function",
|
||||
"输入新按钮名称": "Enter the new button name",
|
||||
"| 不需要输入参数": "| No input parameters required",
|
||||
"如果有新文件出现": "If there is a new file",
|
||||
"Bug反馈": "Bug Feedback",
|
||||
"指定翻译成何种语言": "Specify the language to translate into",
|
||||
"点击保存当前的对话按钮": "Click the save current conversation button",
|
||||
"如果您需要补充些什么": "If you need to add something",
|
||||
"HTTPS 秘钥和证书": "HTTPS Key and Certificate",
|
||||
"输入exit": "Enter exit",
|
||||
"输入新提示后缀": "Enter a new prompt suffix",
|
||||
"如果是文本文件": "If it is a text file",
|
||||
"支持动态切换主题": "Support dynamic theme switching",
|
||||
"并与self.previous_work_dir_files中所记录的文件进行对比": "And compare with the files recorded in self.previous_work_dir_files",
|
||||
"作者 Microsoft & Binary-Husky": "Author Microsoft & Binary-Husky",
|
||||
"请在自定义菜单中定义提示词前缀": "Please define the prefix of the prompt word in the custom menu",
|
||||
"一般情况下您不需要说什么": "In general, you don't need to say anything",
|
||||
"「暗色主题已启用": "Dark theme enabled",
|
||||
"继续向服务器发送n次音频数据": "Continue to send audio data to the server n times",
|
||||
"获取fp的拓展名": "Get the extension name of fp",
|
||||
"指令安装内置Gradio及其他依赖": "Command to install built-in Gradio and other dependencies",
|
||||
"查看自动更新": "Check for automatic updates",
|
||||
"则更新self.previous_work_dir_files中": "Then update in self.previous_work_dir_files",
|
||||
"看门狗耐心": "Watchdog patience",
|
||||
"检测到新生图像": "Detected new image",
|
||||
"等待AutoGen执行结果": "Waiting for AutoGen execution result",
|
||||
"自定义菜单": "Custom menu",
|
||||
"保持链接激活": "Keep the link active",
|
||||
"已经被新插件取代": "Has been replaced by a new plugin",
|
||||
"检查当前的模型是否符合要求": "Check if the current model meets the requirements",
|
||||
"交互功能模板Demo函数": "Interactive function template Demo function",
|
||||
"上一帧没有人声": "No human voice in the previous frame",
|
||||
"用于判断异常": "Used to judge exceptions",
|
||||
"请阅读Wiki": "Please read the Wiki",
|
||||
"查找wallhaven.cc的壁纸": "Search for wallpapers on wallhaven.cc",
|
||||
"2. 点击任意基础功能区按钮": "2. Click any button in the basic function area",
|
||||
"一些垃圾第三方接口的出现这样的错误": "Some errors caused by garbage third-party interfaces",
|
||||
"再次点击VoidTerminal": "Click VoidTerminal again",
|
||||
"结束信号已明确": "The end signal is clear",
|
||||
"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": "Failed to get proxy. It is very likely that you will not be able to access OpenAI family models and Google Scholar without a proxy. It is recommended",
|
||||
"界面外观": "Interface appearance",
|
||||
"如果您想终止程序": "If you want to terminate the program",
|
||||
"2. 点击任意函数插件区按钮": "Click any function plugin area button",
|
||||
"绕过openai访问频率限制": "Bypass openai access frequency limit",
|
||||
"配置暗色主题或亮色主题": "Configure dark theme or light theme",
|
||||
"自定义按钮的最大数量限制": "Maximum number limit for custom buttons",
|
||||
"函数插件区使用说明": "Instructions for function plugin area",
|
||||
"如何语音对话": "How to have a voice conversation",
|
||||
"清空输入区": "Clear input area",
|
||||
"文档清单如下": "The document list is as follows",
|
||||
"由 audio_convertion_thread": "By audio_convertion_thread",
|
||||
"音频的可视化表现": "Visual representation of audio",
|
||||
"然后直接点击“提交”以继续": "Then click 'Submit' to continue",
|
||||
"运行MultiAgentTerminal": "Run MultiAgentTerminal",
|
||||
"自定义按钮1": "Custom button 1",
|
||||
"查看历史上的今天事件": "View events from history",
|
||||
"如遇到Bug请前往": "If you encounter a bug, please go to",
|
||||
"当前插件只支持": "The current plugin only supports",
|
||||
"而不是再次启动一个新的MultiAgentTerminal": "Instead of starting a new MultiAgentTerminal again",
|
||||
"用户代理或助理代理未定义": "User agent or assistant agent is not defined",
|
||||
"运行阶段-": "Running phase-",
|
||||
"随机选择": "Random selection",
|
||||
"直接点击“提交”以继续": "Click 'Submit' to continue",
|
||||
"使用项目内置Gradio获取最优体验! 请运行": "Use the built-in Gradio for the best experience! Please run",
|
||||
"直接点击“提交”以终止AutoGen并解锁": "Click 'Submit' to terminate AutoGen and unlock",
|
||||
"Github源代码开源和更新": "Github source code is open source and updated",
|
||||
"直接将用户输入传递给它": "Pass user input directly to it",
|
||||
"这是一个面向开发者的插件Demo": "This is a plugin demo for developers",
|
||||
"帮助": "Help",
|
||||
"普通对话使用说明": "Instructions for normal conversation",
|
||||
"自定义按钮": "Custom button",
|
||||
"即使没有声音": "Even without sound",
|
||||
"⭐ 主进程": "⭐ Main process",
|
||||
"基础功能区使用说明": "Basic Function Area Usage Instructions",
|
||||
"提前读取一些信息": "Read some information in advance",
|
||||
"当用户点击了“等待反馈”按钮时": "When the user clicks the 'Wait for Feedback' button",
|
||||
"选择一个需要自定义基础功能区按钮": "Select a button in the Basic Function Area that needs to be customized",
|
||||
"VoidTerminal使用说明": "VoidTerminal Usage Instructions",
|
||||
"兼容一下吧": "Let's make it compatible",
|
||||
"⭐⭐ 子进程执行": "⭐⭐ Subprocess execution",
|
||||
"首次": "For the first time",
|
||||
"则直接显示文本内容": "Then display the text content directly",
|
||||
"更新状态": "Update status",
|
||||
"2. 点击提交": "2. Click Submit",
|
||||
"⭐⭐ 子进程": "⭐⭐ Subprocess",
|
||||
"输入新提示前缀": "Enter a new prompt prefix",
|
||||
"等待用户输入超时": "Wait for user input timeout",
|
||||
"把新文件和发生变化的文件的路径记录到 change_list 中": "Record the paths of new files and files that have changed in change_list",
|
||||
"或者上传文件": "Or upload a file",
|
||||
"或者文件的修改时间发生变化": "Or the modification time of the file has changed",
|
||||
"1. 输入路径/问题": "1. Enter path/question",
|
||||
"尝试直接连接": "Try to connect directly",
|
||||
"未来将删除": "Will be deleted in the future",
|
||||
"请在自定义菜单中定义提示词后缀": "Please define the suffix of the prompt word in the custom menu",
|
||||
"将executor存储到cookie中": "Store the executor in the cookie",
|
||||
"1. 输入问题": "1. Enter question",
|
||||
"发送一些音频片段给服务器": "Send some audio clips to the server",
|
||||
"点击VoidTerminal": "Click VoidTerminal",
|
||||
"扫描路径下的所有文件": "Scan all files under the path",
|
||||
"检测到新生文档": "Detect new documents",
|
||||
"预热tiktoken模块": "Preheat the tiktoken module",
|
||||
"等待您的进一步指令": "Waiting for your further instructions",
|
||||
"实时语音对话": "Real-time voice conversation",
|
||||
"确认并保存": "Confirm and save",
|
||||
"「亮色主题已启用": "Light theme enabled",
|
||||
"终止AutoGen程序": "Terminate AutoGen program",
|
||||
"然后根据提示输入指令": "Then enter the command as prompted",
|
||||
"请上传本地文件/压缩包供“函数插件区”功能调用": "Please upload local files/zip packages for 'Function Plugin Area' function call",
|
||||
"上传文件": "Upload file",
|
||||
"上一帧是否有人说话": "Was there anyone speaking in the previous frame",
|
||||
"这是一个时刻聆听着的语音对话助手 | 没有输入参数": "This is a voice conversation assistant that is always listening | No input parameters",
|
||||
"常见问题请查阅": "Please refer to the FAQ for common questions",
|
||||
"更换模型 & Prompt": "Change model & Prompt",
|
||||
"如何保存对话": "How to save the conversation",
|
||||
"处理任务": "Process task",
|
||||
"加载已保存": "Load saved",
|
||||
"打开浏览器页面": "Open browser page",
|
||||
"解锁插件": "Unlock plugin",
|
||||
"如果话筒激活 / 如果处于回声收尾阶段": "If the microphone is active / If it is in the echo tail stage"
|
||||
}
|
||||
@@ -92,5 +92,7 @@
|
||||
"批量翻译PDF文档_NOUGAT": "BatchTranslatePDFDocuments_NOUGAT",
|
||||
"解析PDF_基于NOUGAT": "ParsePDF_NOUGAT",
|
||||
"解析一个Matlab项目": "AnalyzeAMatlabProject",
|
||||
"函数动态生成": "DynamicFunctionGeneration"
|
||||
"函数动态生成": "DynamicFunctionGeneration",
|
||||
"多智能体终端": "MultiAgentTerminal",
|
||||
"多智能体": "MultiAgent"
|
||||
}
|
||||
@@ -431,7 +431,7 @@ def main():
|
||||
ssl_certfile=None if SSL_CERTFILE == "" else SSL_CERTFILE,
|
||||
ssl_verify=False,
|
||||
server_port=PORT,
|
||||
favicon_path="docs/logo.png",
|
||||
favicon_path=os.path.join(os.path.dirname(__file__), "docs/logo.png"),
|
||||
auth=AUTHENTICATION if len(AUTHENTICATION) != 0 else None,
|
||||
blocked_paths=["config.py","config_private.py","docker-compose.yml","Dockerfile"])
|
||||
|
||||
|
||||
+5
-4
@@ -1,7 +1,8 @@
|
||||
import os
|
||||
import gradio as gr
|
||||
from toolbox import get_conf
|
||||
CODE_HIGHLIGHT, ADD_WAIFU, LAYOUT = get_conf('CODE_HIGHLIGHT', 'ADD_WAIFU', 'LAYOUT')
|
||||
|
||||
theme_dir = os.path.dirname(__file__)
|
||||
def adjust_theme():
|
||||
|
||||
try:
|
||||
@@ -57,7 +58,7 @@ def adjust_theme():
|
||||
button_cancel_text_color_dark="white",
|
||||
)
|
||||
|
||||
with open('themes/common.js', 'r', encoding='utf8') as f:
|
||||
with open(os.path.join(theme_dir, 'common.js'), 'r', encoding='utf8') as f:
|
||||
js = f"<script>{f.read()}</script>"
|
||||
|
||||
# 添加一个萌萌的看板娘
|
||||
@@ -79,7 +80,7 @@ def adjust_theme():
|
||||
print('gradio版本较旧, 不能自定义字体和颜色')
|
||||
return set_theme
|
||||
|
||||
with open("themes/default.css", "r", encoding="utf-8") as f:
|
||||
with open(os.path.join(theme_dir, 'default.css'), "r", encoding="utf-8") as f:
|
||||
advanced_css = f.read()
|
||||
with open("themes/common.css", "r", encoding="utf-8") as f:
|
||||
with open(os.path.join(theme_dir, 'common.css'), "r", encoding="utf-8") as f:
|
||||
advanced_css += f.read()
|
||||
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"version": 3.55,
|
||||
"version": 3.56,
|
||||
"show_feature": true,
|
||||
"new_feature": "重新编译Gradio优化使用体验 <-> 新增动态代码解释器（CodeInterpreter） <-> 增加文本回答复制按钮 <-> 细分代理场合 <-> 支持动态选择不同界面主题 <-> 提高稳定性&解决多用户冲突问题 <-> 支持插件分类和更多UI皮肤外观 <-> 支持用户使用自然语言调度各个插件(虚空终端) ！ <-> 改进UI，设计新主题 <-> 支持借助GROBID实现PDF高精度翻译 <-> 接入百度千帆平台和文心一言 <-> 接入阿里通义千问、讯飞星火、上海AI-Lab书生 <-> 优化一键升级 <-> 提高arxiv翻译速度和成功率"
|
||||
"new_feature": "支持动态追加基础功能按钮 <-> 新汇报PDF汇总页面 <-> 重新编译Gradio优化使用体验 <-> 新增动态代码解释器（CodeInterpreter） <-> 增加文本回答复制按钮 <-> 细分代理场合 <-> 支持动态选择不同界面主题 <-> 提高稳定性&解决多用户冲突问题 <-> 支持插件分类和更多UI皮肤外观 <-> 支持用户使用自然语言调度各个插件(虚空终端) ！ <-> 改进UI，设计新主题 <-> 支持借助GROBID实现PDF高精度翻译 <-> 接入百度千帆平台和文心一言 <-> 接入阿里通义千问、讯飞星火、上海AI-Lab书生 <-> 优化一键升级 <-> 提高arxiv翻译速度和成功率"
|
||||
}
|
||||
Reference in new issue
Block a user