Merge branch 'master' of github.com:binary-husky/chatgpt_academic

fix bug  #1167 学术小助手在proxies返回空时会首先尝试直接连接

Dockerfile

@@ -17,7 +17,7 @@ WORKDIR /gpt
 
 # 安装大部分依赖，利用Docker缓存加速以后的构建
 COPY requirements.txt ./
-COPY ./docs/gradio-3.32.2-py3-none-any.whl ./docs/gradio-3.32.2-py3-none-any.whl
+COPY ./docs/gradio-3.32.6-py3-none-any.whl ./docs/gradio-3.32.6-py3-none-any.whl
 RUN pip3 install -r requirements.txt
 
 

README.md

@@ -1,6 +1,6 @@
 > **Note**
 >
-> 2023.7.8: Gradio, Pydantic依赖调整，已修改 `requirements.txt`。请及时**更新代码**，安装依赖时，请严格选择`requirements.txt`中**指定的版本**
+> 2023.10.8: Gradio, Pydantic依赖调整，已修改 `requirements.txt`。请及时**更新代码**，安装依赖时，请严格选择`requirements.txt`中**指定的版本**
 >
 > `pip install -r requirements.txt`
 
@@ -310,6 +310,8 @@ Tip：不指定文件直接点击 `载入对话历史存档` 可以查看历史h
 
 ### II：版本:
 - version 3.60（todo）: 优化虚空终端，引入code interpreter和更多插件
+- version 3.55: 重构前端界面，引入悬浮窗口与菜单栏
+- version 3.54: 新增动态代码解释器（Code Interpreter）（待完善）
 - version 3.53: 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
 - version 3.50: 使用自然语言调用本项目的所有函数插件（虚空终端），支持插件分类，改进UI，设计新主题
 - version 3.49: 支持百度千帆平台和文心一言
@@ -331,7 +333,7 @@ Tip：不指定文件直接点击 `载入对话历史存档` 可以查看历史h
 - version 2.0: 引入模块化函数插件
 - version 1.0: 基础功能
 
-gpt_academic开发者QQ群-2：610599535
+GPT Academic开发者QQ群：`610599535`
 
 - 已知问题
     - 某些浏览器翻译插件干扰此软件前端的运行

check_proxy.py

@@ -155,11 +155,13 @@ def auto_update(raise_error=False):
 
 def warm_up_modules():
     print('正在执行一些模块的预热...')
+    from toolbox import ProxyNetworkActivate
     from request_llm.bridge_all import model_info
-    enc = model_info["gpt-3.5-turbo"]['tokenizer']
+    with ProxyNetworkActivate("Warmup_Modules"):
-    enc.encode("模块预热", disallowed_special=())
+        enc = model_info["gpt-3.5-turbo"]['tokenizer']
-    enc = model_info["gpt-4"]['tokenizer']
+        enc.encode("模块预热", disallowed_special=())
-    enc.encode("模块预热", disallowed_special=())
+        enc = model_info["gpt-4"]['tokenizer']
+        enc.encode("模块预热", disallowed_special=())
 
 if __name__ == '__main__':
     import os

config.py

@@ -46,6 +46,7 @@ DEFAULT_WORKER_NUM = 3
 # 色彩主题, 可选 ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast"]
 # 更多主题, 请查阅Gradio主题商店: https://huggingface.co/spaces/gradio/theme-gallery 可选 ["Gstaff/Xkcd", "NoCrypt/Miku", ...]
 THEME = "Default"
+AVAIL_THEMES = ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast", "Gstaff/Xkcd", "NoCrypt/Miku"]
 
 
 # 对话窗的高度 （仅在LAYOUT="TOP-DOWN"时生效）
@@ -58,7 +59,10 @@ CODE_HIGHLIGHT = True
 
 # 窗口布局
 LAYOUT = "LEFT-RIGHT"   # "LEFT-RIGHT"（左右布局） # "TOP-DOWN"（上下布局）
-DARK_MODE = True        # 暗色模式 / 亮色模式
+
+
+# 暗色模式 / 亮色模式
+DARK_MODE = True        
 
 
 # 发送请求到OpenAI后，等待多久判定为超时
@@ -74,14 +78,14 @@ MAX_RETRY = 2
 
 
 # 插件分类默认选项
-DEFAULT_FN_GROUPS = ['对话', '编程', '学术']
+DEFAULT_FN_GROUPS = ['对话', '编程', '学术', '智能体']
 
 
 # 模型选择是 (注意: LLM_MODEL是默认选中的模型, 它*必须*被包含在AVAIL_LLM_MODELS列表中 )
 LLM_MODEL = "gpt-3.5-turbo" # 可选 ↓↓↓
 AVAIL_LLM_MODELS = ["gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5", "api2d-gpt-3.5-turbo",
-                    "gpt-4", "api2d-gpt-4", "chatglm", "moss", "newbing", "stack-claude"]
+                    "gpt-4", "gpt-4-32k", "azure-gpt-4", "api2d-gpt-4", "chatglm", "moss", "newbing", "stack-claude"]
-# P.S. 其他可用的模型还包括 ["qianfan", "llama2", "qwen", "gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613", 
+# P.S. 其他可用的模型还包括 ["qianfan", "llama2", "qwen", "gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613",  "gpt-3.5-random"
 # "spark", "sparkv2", "chatglm_onnx", "claude-1-100k", "claude-2", "internlm", "jittorllms_pangualpha", "jittorllms_llama"]
 
 
@@ -121,6 +125,11 @@ AUTHENTICATION = []
 CUSTOM_PATH = "/"
 
 
+# HTTPS 秘钥和证书（不需要修改）
+SSL_KEYFILE = ""
+SSL_CERTFILE = ""
+
+
 # 极少数情况下，openai的官方KEY需要伴随组织编码（格式如org-xxxxxxxxxxxxxxxxxxxxxxxx）使用
 API_ORG = ""
 
@@ -136,7 +145,7 @@ AZURE_API_KEY = "填入azure openai api的密钥"    # 建议直接在API_KEY处
 AZURE_ENGINE = "填入你亲手写的部署名"            # 读 docs\use_azure.md
 
 
-# 使用Newbing
+# 使用Newbing (不推荐使用，未来将删除)
 NEWBING_STYLE = "creative"  # ["creative", "balanced", "precise"]
 NEWBING_COOKIES = """
 put your new bing cookies here
@@ -173,17 +182,30 @@ HUGGINGFACE_ACCESS_TOKEN = "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"
 # 获取方法：复制以下空间https://huggingface.co/spaces/qingxu98/grobid，设为public，然后GROBID_URL = "https://(你的hf用户名如qingxu98)-(你的填写的空间名如grobid).hf.space"
 GROBID_URLS = [
     "https://qingxu98-grobid.hf.space","https://qingxu98-grobid2.hf.space","https://qingxu98-grobid3.hf.space",
-    "https://shaocongma-grobid.hf.space","https://FBR123-grobid.hf.space", "https://yeku-grobid.hf.space", 
+    "https://qingxu98-grobid4.hf.space","https://qingxu98-grobid5.hf.space", "https://qingxu98-grobid6.hf.space", 
+    "https://qingxu98-grobid7.hf.space", "https://qingxu98-grobid8.hf.space", 
 ]
 
 
 # 是否允许通过自然语言描述修改本页的配置，该功能具有一定的危险性，默认关闭
 ALLOW_RESET_CONFIG = False
+
+
 # 临时的上传文件夹位置，请勿修改
 PATH_PRIVATE_UPLOAD = "private_upload"
+
+
 # 日志文件夹的位置，请勿修改
 PATH_LOGGING = "gpt_log"
 
+
+# 除了连接OpenAI之外，还有哪些场合允许使用代理，请勿修改
+WHEN_TO_USE_PROXY = ["Download_LLM", "Download_Gradio_Theme", "Connect_Grobid", "Warmup_Modules"]
+
+
+# 自定义按钮的最大数量限制
+NUM_CUSTOM_BASIC_BTN = 4
+
 """
 在线大模型配置关联关系示意图
 │

core_functional.py

@@ -11,7 +11,8 @@ def get_core_functions():
             # 前缀，会被加在你的输入之前。例如，用来描述你的要求，例如翻译、解释代码、润色等等
             "Prefix":   r"Below is a paragraph from an academic paper. Polish the writing to meet the academic style, " +
                         r"improve the spelling, grammar, clarity, concision and overall readability. When necessary, rewrite the whole sentence. " +
-                        r"Furthermore, list all modification and explain the reasons to do so in markdown table." + "\n\n",
+                        r"Firstly, you should provide the polished paragraph. "
+                        r"Secondly, you should list all your modification and explain the reasons to do so in markdown table." + "\n\n",
             # 后缀，会被加在你的输入之后。例如，配合前缀可以把你的输入内容用引号圈起来
             "Suffix":   r"",
             # 按钮颜色 (默认 secondary)
@@ -27,17 +28,18 @@ def get_core_functions():
             "Suffix":   r"",
         },
         "查找语法错误": {
-            "Prefix":   r"Can you help me ensure that the grammar and the spelling is correct? " +
+            "Prefix":   r"Help me ensure that the grammar and the spelling is correct. "
-                        r"Do not try to polish the text, if no mistake is found, tell me that this paragraph is good." +
+                        r"Do not try to polish the text, if no mistake is found, tell me that this paragraph is good. "
-                        r"If you find grammar or spelling mistakes, please list mistakes you find in a two-column markdown table, " +
+                        r"If you find grammar or spelling mistakes, please list mistakes you find in a two-column markdown table, "
-                        r"put the original text the first column, " +
+                        r"put the original text the first column, "
-                        r"put the corrected text in the second column and highlight the key words you fixed.""\n"
+                        r"put the corrected text in the second column and highlight the key words you fixed. "
+                        r"Finally, please provide the proofreaded text.""\n\n"
                         r"Example:""\n"
                         r"Paragraph: How is you? Do you knows what is it?""\n"
                         r"| Original sentence | Corrected sentence |""\n"
                         r"| :--- | :--- |""\n"
                         r"| How **is** you? | How **are** you? |""\n"
-                        r"| Do you **knows** what **is** **it**? | Do you **know** what **it** **is** ? |""\n"
+                        r"| Do you **knows** what **is** **it**? | Do you **know** what **it** **is** ? |""\n\n"
                         r"Below is a paragraph from an academic paper. "
                         r"You need to report all grammar and spelling mistakes as the example before."
                         + "\n\n",
@@ -89,8 +91,15 @@ def handle_core_functionality(additional_fn, inputs, history, chatbot):
     import core_functional
     importlib.reload(core_functional)    # 热更新prompt
     core_functional = core_functional.get_core_functions()
-    if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
+    addition = chatbot._cookies['customize_fn_overwrite']
-    inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+    if additional_fn in addition:
-    if core_functional[additional_fn].get("AutoClearHistory", False):
+        # 自定义功能
-        history = []
+        inputs = addition[additional_fn]["Prefix"] + inputs + addition[additional_fn]["Suffix"]
-    return inputs, history
+        return inputs, history
+    else:
+        # 预制功能
+        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
+        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+        if core_functional[additional_fn].get("AutoClearHistory", False):
+            history = []
+        return inputs, history

crazy_functional.py

@@ -6,6 +6,7 @@ def get_crazy_functions():
     from crazy_functions.生成函数注释 import 批量生成函数注释
     from crazy_functions.解析项目源代码 import 解析项目本身
     from crazy_functions.解析项目源代码 import 解析一个Python项目
+    from crazy_functions.解析项目源代码 import 解析一个Matlab项目
     from crazy_functions.解析项目源代码 import 解析一个C项目的头文件
     from crazy_functions.解析项目源代码 import 解析一个C项目
     from crazy_functions.解析项目源代码 import 解析一个Golang项目
@@ -38,7 +39,7 @@ def get_crazy_functions():
 
     function_plugins = {
         "虚空终端": {
-            "Group": "对话|编程|学术",
+            "Group": "对话|编程|学术|智能体",
             "Color": "stop",
             "AsButton": True,
             "Function": HotReload(虚空终端)
@@ -77,6 +78,13 @@ def get_crazy_functions():
             "Info": "批量总结word文档 | 输入参数为路径",
             "Function": HotReload(总结word文档)
         },
+        "解析整个Matlab项目": {
+            "Group": "编程",
+            "Color": "stop",
+            "AsButton": False,
+            "Info": "解析一个Matlab项目的所有源文件(.m) | 输入参数为路径",
+            "Function": HotReload(解析一个Matlab项目)
+        },
         "解析整个C++项目头文件": {
             "Group": "编程",
             "Color": "stop",
@@ -182,10 +190,10 @@ def get_crazy_functions():
             "Info": "多线程解析并翻译此项目的源码 | 不需要输入参数",
             "Function": HotReload(解析项目本身)
         },
-        "[插件demo]历史上的今天": {
+        "历史上的今天": {
             "Group": "对话",
             "AsButton": True,
-            "Info": "查看历史上的今天事件 | 不需要输入参数",
+            "Info": "查看历史上的今天事件 (这是一个面向开发者的插件Demo) | 不需要输入参数",
             "Function": HotReload(高阶功能模板函数)
         },
         "精准翻译PDF论文": {
@@ -243,20 +251,25 @@ def get_crazy_functions():
             "Info": "对中文Latex项目全文进行润色处理 | 输入参数为路径或上传压缩包",
             "Function": HotReload(Latex中文润色)
         },
-        "Latex项目全文中译英（输入路径或上传压缩包）": {
+
-            "Group": "学术",
+        # 已经被新插件取代
-            "Color": "stop",
+        # "Latex项目全文中译英（输入路径或上传压缩包）": {
-            "AsButton": False,  # 加入下拉菜单中
+        #     "Group": "学术",
-            "Info": "对Latex项目全文进行中译英处理 | 输入参数为路径或上传压缩包",
+        #     "Color": "stop",
-            "Function": HotReload(Latex中译英)
+        #     "AsButton": False,  # 加入下拉菜单中
-        },
+        #     "Info": "对Latex项目全文进行中译英处理 | 输入参数为路径或上传压缩包",
-        "Latex项目全文英译中（输入路径或上传压缩包）": {
+        #     "Function": HotReload(Latex中译英)
-            "Group": "学术",
+        # },
-            "Color": "stop",
+
-            "AsButton": False,  # 加入下拉菜单中
+        # 已经被新插件取代
-            "Info": "对Latex项目全文进行英译中处理 | 输入参数为路径或上传压缩包",
+        # "Latex项目全文英译中（输入路径或上传压缩包）": {
-            "Function": HotReload(Latex英译中)
+        #     "Group": "学术",
-        },
+        #     "Color": "stop",
+        #     "AsButton": False,  # 加入下拉菜单中
+        #     "Info": "对Latex项目全文进行英译中处理 | 输入参数为路径或上传压缩包",
+        #     "Function": HotReload(Latex英译中)
+        # },
+        
         "批量Markdown中译英（输入路径或上传压缩包）": {
             "Group": "编程",
             "Color": "stop",
@@ -384,7 +397,7 @@ def get_crazy_functions():
     try:
         from crazy_functions.批量Markdown翻译 import Markdown翻译指定语言
         function_plugins.update({
-            "Markdown翻译（手动指定语言）": {
+            "Markdown翻译（指定翻译成何种语言）": {
                 "Group": "编程",
                 "Color": "stop",
                 "AsButton": False,
@@ -429,7 +442,7 @@ def get_crazy_functions():
     try:
         from crazy_functions.交互功能函数模板 import 交互功能模板函数
         function_plugins.update({
-            "交互功能模板函数": {
+            "交互功能模板Demo函数（查找wallhaven.cc的壁纸）": {
                 "Group": "对话",
                 "Color": "stop",
                 "AsButton": False,
@@ -489,11 +502,11 @@ def get_crazy_functions():
         if ENABLE_AUDIO:
             from crazy_functions.语音助手 import 语音助手
             function_plugins.update({
-                "实时音频采集": {
+                "实时语音对话": {
                     "Group": "对话",
                     "Color": "stop",
                     "AsButton": True,
-                    "Info": "开始语言对话 | 没有输入参数",
+                    "Info": "这是一个时刻聆听着的语音对话助手 | 没有输入参数",
                     "Function": HotReload(语音助手)
                 }
             })
@@ -513,19 +526,19 @@ def get_crazy_functions():
     except:
         print('Load function plugin failed')
 
+    try:
+        from crazy_functions.函数动态生成 import 函数动态生成
+        function_plugins.update({
+            "动态代码解释器（CodeInterpreter）": {
+                "Group": "智能体",
+                "Color": "stop",
+                "AsButton": False,
+                "Function": HotReload(函数动态生成)
+            }
+        })
+    except:
+        print('Load function plugin failed')
 
-    # try:
-    #     from crazy_functions.CodeInterpreter import 虚空终端CodeInterpreter
-    #     function_plugins.update({
-    #         "CodeInterpreter（开发中，仅供测试）": {
-    #             "Group": "编程|对话",
-    #             "Color": "stop",
-    #             "AsButton": False,
-    #             "Function": HotReload(虚空终端CodeInterpreter)
-    #         }
-    #     })
-    # except:
-    #     print('Load function plugin failed')
 
     # try:
     #     from crazy_functions.chatglm微调工具 import 微调数据集生成

crazy_functions/Langchain知识库.py

@@ -53,14 +53,14 @@ def 知识库问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
     yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
     print('Checking Text2vec ...')
     from langchain.embeddings.huggingface import HuggingFaceEmbeddings
-    with ProxyNetworkActivate():    # 临时地激活代理网络
+    with ProxyNetworkActivate('Download_LLM'):    # 临时地激活代理网络
         HuggingFaceEmbeddings(model_name="GanymedeNil/text2vec-large-chinese")
 
     # < -------------------构建知识库--------------- >
     chatbot.append(['<br/>'.join(file_manifest), "正在构建知识库..."])
     yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
     print('Establishing knowledge archive ...')
-    with ProxyNetworkActivate():    # 临时地激活代理网络
+    with ProxyNetworkActivate('Download_LLM'):    # 临时地激活代理网络
         kai = knowledge_archive_interface()
         kai.feed_archive(file_manifest=file_manifest, id=kai_id)
     kai_files = kai.get_loaded_file()

crazy_functions/Latex输出PDF结果.py

@@ -79,7 +79,7 @@ def move_project(project_folder, arxiv_id=None):
     shutil.copytree(src=project_folder, dst=new_workfolder)
     return new_workfolder
 
-def arxiv_download(chatbot, history, txt):
+def arxiv_download(chatbot, history, txt, allow_cache=True):
     def check_cached_translation_pdf(arxiv_id):
         translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'translation')
         if not os.path.exists(translation_dir):
@@ -116,7 +116,7 @@ def arxiv_download(chatbot, history, txt):
     arxiv_id = url_.split('/abs/')[-1]
     if 'v' in arxiv_id: arxiv_id = arxiv_id[:10]
     cached_translation_pdf = check_cached_translation_pdf(arxiv_id)
-    if cached_translation_pdf: return cached_translation_pdf, arxiv_id
+    if cached_translation_pdf and allow_cache: return cached_translation_pdf, arxiv_id
 
     url_tar = url_.replace('/abs/', '/e-print/')
     translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'e-print')
@@ -228,6 +228,9 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
     # <-------------- more requirements ------------->
     if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
     more_req = plugin_kwargs.get("advanced_arg", "")
+    no_cache = more_req.startswith("--no-cache")
+    if no_cache: more_req.lstrip("--no-cache")
+    allow_cache = not no_cache
     _switch_prompt_ = partial(switch_prompt, more_requirement=more_req)
 
     # <-------------- check deps ------------->
@@ -244,7 +247,7 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
 
     # <-------------- clear history and read input ------------->
     history = []
-    txt, arxiv_id = yield from arxiv_download(chatbot, history, txt)
+    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")
         yield from update_ui(chatbot=chatbot, history=history) # 刷新界面

crazy_functions/crazy_utils.py

@@ -69,12 +69,15 @@ def request_gpt_model_in_new_thread_with_ui_alive(
     yield from update_ui(chatbot=chatbot, history=[]) # 刷新界面
     executor = ThreadPoolExecutor(max_workers=16)
     mutable = ["", time.time(), ""]
+    # 看门狗耐心
+    watch_dog_patience = 5
+    # 请求任务
     def _req_gpt(inputs, history, sys_prompt):
         retry_op = retry_times_at_unknown_error
         exceeded_cnt = 0
         while True:
             # watchdog error
-            if len(mutable) >= 2 and (time.time()-mutable[1]) > 5: 
+            if len(mutable) >= 2 and (time.time()-mutable[1]) > watch_dog_patience: 
                 raise RuntimeError("检测到程序终止。")
             try:
                 # 【第一种情况】：顺利完成
@@ -193,6 +196,9 @@ def request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
     # 跨线程传递
     mutable = [["", time.time(), "等待中"] for _ in range(n_frag)]
 
+    # 看门狗耐心
+    watch_dog_patience = 5
+
     # 子线程任务
     def _req_gpt(index, inputs, history, sys_prompt):
         gpt_say = ""
@@ -201,7 +207,7 @@ def request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
         mutable[index][2] = "执行中"
         while True:
             # watchdog error
-            if len(mutable[index]) >= 2 and (time.time()-mutable[index][1]) > 5: 
+            if len(mutable[index]) >= 2 and (time.time()-mutable[index][1]) > watch_dog_patience: 
                 raise RuntimeError("检测到程序终止。")
             try:
                 # 【第一种情况】：顺利完成
@@ -275,7 +281,7 @@ def request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
         # 在前端打印些好玩的东西
         for thread_index, _ in enumerate(worker_done):
             print_something_really_funny = "[ ...`"+mutable[thread_index][0][-scroller_max_len:].\
-                replace('\n', '').replace('```', '...').replace(
+                replace('\n', '').replace('`', '.').replace(
                     ' ', '.').replace('<br/>', '.....').replace('$', '.')+"`... ]"
             observe_win.append(print_something_really_funny)
         # 在前端打印些好玩的东西
@@ -301,7 +307,7 @@ def request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
             gpt_res = f.result()
             chatbot.append([inputs_show_user, gpt_res])
             yield from update_ui(chatbot=chatbot, history=[]) # 刷新界面
-            time.sleep(0.3)
+            time.sleep(0.5)
     return gpt_response_collection
 
 
@@ -651,7 +657,7 @@ class knowledge_archive_interface():
             from toolbox import ProxyNetworkActivate
             print('Checking Text2vec ...')
             from langchain.embeddings.huggingface import HuggingFaceEmbeddings
-            with ProxyNetworkActivate():    # 临时地激活代理网络
+            with ProxyNetworkActivate('Download_LLM'):    # 临时地激活代理网络
                 self.text2vec_large_chinese = HuggingFaceEmbeddings(model_name="GanymedeNil/text2vec-large-chinese")
 
         return self.text2vec_large_chinese
@@ -807,3 +813,10 @@ class construct_html():
         with open(os.path.join(get_log_folder(), file_name), 'w', encoding='utf8') as f:
             f.write(self.html_string.encode('utf-8', 'ignore').decode())
         return os.path.join(get_log_folder(), file_name)
+
+
+def get_plugin_arg(plugin_kwargs, key, default):
+    # 如果参数是空的
+    if (key in plugin_kwargs) and (plugin_kwargs[key] == ""): plugin_kwargs.pop(key)
+    # 正常情况
+    return plugin_kwargs.get(key, default)

crazy_functions/gen_fns/gen_fns_shared.py

@@ -0,0 +1,70 @@
+import time
+import importlib
+from toolbox import trimmed_format_exc, gen_time_str, get_log_folder
+from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, is_the_upload_folder
+from toolbox import promote_file_to_downloadzone, get_log_folder, update_ui_lastest_msg
+import multiprocessing
+
+def get_class_name(class_string):
+    import re
+    # Use regex to extract the class name
+    class_name = re.search(r'class (\w+)\(', class_string).group(1)
+    return class_name
+
+def try_make_module(code, chatbot):
+    module_file = 'gpt_fn_' + gen_time_str().replace('-','_')
+    fn_path = f'{get_log_folder(plugin_name="gen_plugin_verify")}/{module_file}.py'
+    with open(fn_path, 'w', encoding='utf8') as f: f.write(code)
+    promote_file_to_downloadzone(fn_path, chatbot=chatbot)
+    class_name = get_class_name(code)
+    manager = multiprocessing.Manager()
+    return_dict = manager.dict()
+    p = multiprocessing.Process(target=is_function_successfully_generated, args=(fn_path, class_name, return_dict))
+    # only has 10 seconds to run
+    p.start(); p.join(timeout=10)
+    if p.is_alive(): p.terminate(); p.join()
+    p.close()
+    return return_dict["success"], return_dict['traceback']
+
+# check is_function_successfully_generated
+def is_function_successfully_generated(fn_path, class_name, return_dict):
+    return_dict['success'] = False
+    return_dict['traceback'] = ""
+    try:
+        # Create a spec for the module
+        module_spec = importlib.util.spec_from_file_location('example_module', fn_path)
+        # Load the module
+        example_module = importlib.util.module_from_spec(module_spec)
+        module_spec.loader.exec_module(example_module)
+        # Now you can use the module
+        some_class = getattr(example_module, class_name)
+        # Now you can create an instance of the class
+        instance = some_class()
+        return_dict['success'] = True
+        return 
+    except:
+        return_dict['traceback'] = trimmed_format_exc()
+        return
+    
+def subprocess_worker(code, file_path, return_dict):
+    return_dict['result'] = None
+    return_dict['success'] = False
+    return_dict['traceback'] = ""
+    try:
+        module_file = 'gpt_fn_' + gen_time_str().replace('-','_')
+        fn_path = f'{get_log_folder(plugin_name="gen_plugin_run")}/{module_file}.py'
+        with open(fn_path, 'w', encoding='utf8') as f: f.write(code)
+        class_name = get_class_name(code)
+        # Create a spec for the module
+        module_spec = importlib.util.spec_from_file_location('example_module', fn_path)
+        # Load the module
+        example_module = importlib.util.module_from_spec(module_spec)
+        module_spec.loader.exec_module(example_module)
+        # Now you can use the module
+        some_class = getattr(example_module, class_name)
+        # Now you can create an instance of the class
+        instance = some_class()
+        return_dict['result'] = instance.run(file_path)
+        return_dict['success'] = True
+    except:
+        return_dict['traceback'] = trimmed_format_exc()

crazy_functions/latex_fns/latex_toolbox.py

@@ -342,10 +342,33 @@ def merge_tex_files(project_foler, main_file, mode):
         pattern_opt2 = re.compile(r"\\abstract\{(.*?)\}", flags=re.DOTALL)
         match_opt1 = pattern_opt1.search(main_file)
         match_opt2 = pattern_opt2.search(main_file)
+        if (match_opt1 is None) and (match_opt2 is None):
+            # "Cannot find paper abstract section!"
+            main_file = insert_abstract(main_file)
+        match_opt1 = pattern_opt1.search(main_file)
+        match_opt2 = pattern_opt2.search(main_file)
         assert (match_opt1 is not None) or (match_opt2 is not None), "Cannot find paper abstract section!"
     return main_file
 
 
+insert_missing_abs_str = r"""
+\begin{abstract}
+The GPT-Academic program cannot find abstract section in this paper.
+\end{abstract}
+"""
+
+def insert_abstract(tex_content):
+    if "\\maketitle" in tex_content:
+        # find the position of "\maketitle"
+        find_index = tex_content.index("\\maketitle")
+        # 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
+
 """
 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
 Post process

crazy_functions/live_audio/aliyunASR.py

@@ -1,4 +1,106 @@
-import time, logging, json
+import time, logging, json, sys, struct
+import numpy as np
+from scipy.io.wavfile import WAVE_FORMAT
+
+def write_numpy_to_wave(filename, rate, data, add_header=False):
+    """
+    Write a NumPy array as a WAV file.
+    """
+    def _array_tofile(fid, data):
+        # ravel gives a c-contiguous buffer
+        fid.write(data.ravel().view('b').data)
+
+    if hasattr(filename, 'write'):
+        fid = filename
+    else:
+        fid = open(filename, 'wb')
+
+    fs = rate
+
+    try:
+        dkind = data.dtype.kind
+        if not (dkind == 'i' or dkind == 'f' or (dkind == 'u' and
+                                                 data.dtype.itemsize == 1)):
+            raise ValueError("Unsupported data type '%s'" % data.dtype)
+
+        header_data = b''
+
+        header_data += b'RIFF'
+        header_data += b'\x00\x00\x00\x00'
+        header_data += b'WAVE'
+
+        # fmt chunk
+        header_data += b'fmt '
+        if dkind == 'f':
+            format_tag = WAVE_FORMAT.IEEE_FLOAT
+        else:
+            format_tag = WAVE_FORMAT.PCM
+        if data.ndim == 1:
+            channels = 1
+        else:
+            channels = data.shape[1]
+        bit_depth = data.dtype.itemsize * 8
+        bytes_per_second = fs*(bit_depth // 8)*channels
+        block_align = channels * (bit_depth // 8)
+
+        fmt_chunk_data = struct.pack('<HHIIHH', format_tag, channels, fs,
+                                     bytes_per_second, block_align, bit_depth)
+        if not (dkind == 'i' or dkind == 'u'):
+            # add cbSize field for non-PCM files
+            fmt_chunk_data += b'\x00\x00'
+
+        header_data += struct.pack('<I', len(fmt_chunk_data))
+        header_data += fmt_chunk_data
+
+        # fact chunk (non-PCM files)
+        if not (dkind == 'i' or dkind == 'u'):
+            header_data += b'fact'
+            header_data += struct.pack('<II', 4, data.shape[0])
+
+        # check data size (needs to be immediately before the data chunk)
+        if ((len(header_data)-4-4) + (4+4+data.nbytes)) > 0xFFFFFFFF:
+            raise ValueError("Data exceeds wave file size limit")
+        if add_header:
+            fid.write(header_data)
+            # data chunk
+            fid.write(b'data')
+            fid.write(struct.pack('<I', data.nbytes))
+            if data.dtype.byteorder == '>' or (data.dtype.byteorder == '=' and
+                                            sys.byteorder == 'big'):
+                data = data.byteswap()
+        _array_tofile(fid, data)
+
+        if add_header:
+            # Determine file size and place it in correct
+            #  position at start of the file.
+            size = fid.tell()
+            fid.seek(4)
+            fid.write(struct.pack('<I', size-8))
+
+    finally:
+        if not hasattr(filename, 'write'):
+            fid.close()
+        else:
+            fid.seek(0)
+
+def is_speaker_speaking(vad, data, sample_rate):
+    # Function to detect if the speaker is speaking
+    # The WebRTC VAD only accepts 16-bit mono PCM audio, 
+    # sampled at 8000, 16000, 32000 or 48000 Hz. 
+    # A frame must be either 10, 20, or 30 ms in duration:
+    frame_duration = 30
+    n_bit_each = int(sample_rate * frame_duration / 1000)*2 # x2 because audio is 16 bit (2 bytes)
+    res_list = []
+    for t in range(len(data)):
+        if t!=0 and t % n_bit_each == 0:
+            res_list.append(vad.is_speech(data[t-n_bit_each:t], sample_rate))
+    
+    info = ''.join(['^' if r else '.' for r in res_list])
+    info = info[:10]
+    if any(res_list):
+        return True, info
+    else:
+        return False, info
 
 
 class AliyunASR():
@@ -66,12 +168,22 @@ class AliyunASR():
                     on_close=self.test_on_close,
                     callback_args=[uuid.hex]
                 )
-
+        timeout_limit_second = 20
         r = sr.start(aformat="pcm",
+                timeout=timeout_limit_second,
                 enable_intermediate_result=True,
                 enable_punctuation_prediction=True,
                 enable_inverse_text_normalization=True)
 
+        import webrtcvad
+        vad = webrtcvad.Vad()
+        vad.set_mode(1)
+
+        is_previous_frame_transmitted = False   # 上一帧是否有人说话
+        previous_frame_data = None
+        echo_cnt = 0        # 在没有声音之后，继续向服务器发送n次音频数据
+        echo_cnt_max = 4   # 在没有声音之后，继续向服务器发送n次音频数据
+        keep_alive_last_send_time = time.time()
         while not self.stop:
             # time.sleep(self.capture_interval)
             audio = rad.read(uuid.hex) 
@@ -79,12 +191,32 @@ class AliyunASR():
                 # convert to pcm file
                 temp_file = f'{temp_folder}/{uuid.hex}.pcm' # 
                 dsdata = change_sample_rate(audio, rad.rate, NEW_SAMPLERATE) # 48000 --> 16000
-                io.wavfile.write(temp_file, NEW_SAMPLERATE, dsdata)
+                write_numpy_to_wave(temp_file, NEW_SAMPLERATE, dsdata)
                 # read pcm binary
                 with open(temp_file, "rb") as f: data = f.read()
-                # print('audio len:', len(audio), '\t ds len:', len(dsdata), '\t need n send:', len(data)//640)
+                is_speaking, info = is_speaker_speaking(vad, data, NEW_SAMPLERATE)
-                slices = zip(*(iter(data),) * 640)    # 640个字节为一组
+
-                for i in slices: sr.send_audio(bytes(i))
+                if is_speaking or echo_cnt > 0:
+                    # 如果话筒激活 / 如果处于回声收尾阶段
+                    echo_cnt -= 1
+                    if not is_previous_frame_transmitted:   # 上一帧没有人声，但是我们把上一帧同样加上
+                        if previous_frame_data is not None: data = previous_frame_data + data
+                    if is_speaking:
+                        echo_cnt = echo_cnt_max
+                    slices = zip(*(iter(data),) * 640)      # 640个字节为一组
+                    for i in slices: sr.send_audio(bytes(i))
+                    keep_alive_last_send_time = time.time()
+                    is_previous_frame_transmitted = True
+                else:
+                    is_previous_frame_transmitted = False
+                    echo_cnt = 0
+                    # 保持链接激活，即使没有声音，也根据时间间隔，发送一些音频片段给服务器
+                    if time.time() - keep_alive_last_send_time > timeout_limit_second/2:
+                        slices = zip(*(iter(data),) * 640)    # 640个字节为一组
+                        for i in slices: sr.send_audio(bytes(i))
+                        keep_alive_last_send_time = time.time()
+                        is_previous_frame_transmitted = True
+                self.audio_shape = info
             else:
                 time.sleep(0.1)
 

crazy_functions/live_audio/audio_io.py

@@ -35,7 +35,7 @@ class RealtimeAudioDistribution():
     def read(self, uuid):
         if uuid in self.data:
             res = self.data.pop(uuid)
-            print('\r read-', len(res), '-', max(res), end='', flush=True)
+            # print('\r read-', len(res), '-', max(res), end='', flush=True)
         else:
             res = None
         return res

crazy_functions/pdf_fns/parse_pdf.py

@@ -2,6 +2,8 @@ from functools import lru_cache
 from toolbox import gen_time_str
 from toolbox import promote_file_to_downloadzone
 from toolbox import write_history_to_file, promote_file_to_downloadzone
+from toolbox import get_conf
+from toolbox import ProxyNetworkActivate
 from colorful import *
 import requests
 import random
@@ -12,13 +14,13 @@ import math
 class GROBID_OFFLINE_EXCEPTION(Exception): pass
 
 def get_avail_grobid_url():
-    from toolbox import get_conf
     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
         if _grobid_url.endswith('/'): _grobid_url = _grobid_url.rstrip('/')
-        res = requests.get(_grobid_url+'/api/isalive')
+        with ProxyNetworkActivate('Connect_Grobid'):
+            res = requests.get(_grobid_url+'/api/isalive')
         if res.text=='true': return _grobid_url
         else: return None
     except:
@@ -29,7 +31,8 @@ def parse_pdf(pdf_path, grobid_url):
     import scipdf   # pip install scipdf_parser
     if grobid_url.endswith('/'): grobid_url = grobid_url.rstrip('/')
     try:
-        article_dict = scipdf.parse_pdf_to_dict(pdf_path, grobid_url=grobid_url)
+        with ProxyNetworkActivate('Connect_Grobid'):
+            article_dict = scipdf.parse_pdf_to_dict(pdf_path, grobid_url=grobid_url)
     except GROBID_OFFLINE_EXCEPTION:
         raise GROBID_OFFLINE_EXCEPTION("GROBID服务不可用，请修改config中的GROBID_URL，可修改成本地GROBID服务。")
     except:

crazy_functions/函数动态生成.py

@@ -0,0 +1,252 @@
+# 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, is_the_upload_folder
+from toolbox import promote_file_to_downloadzone, get_log_folder, update_ui_lastest_msg
+from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, get_plugin_arg
+from .crazy_utils import input_clipping, try_install_deps
+from crazy_functions.gen_fns.gen_fns_shared import is_function_successfully_generated
+from crazy_functions.gen_fns.gen_fns_shared import get_class_name
+from crazy_functions.gen_fns.gen_fns_shared import subprocess_worker
+from crazy_functions.gen_fns.gen_fns_shared import try_make_module
+import os
+import time
+import glob
+import multiprocessing
+
+templete = """
+```python
+import ...  # Put dependencies here, e.g. import numpy as np. 
+
+class TerminalFunction(object): # Do not change the name of the class, The name of the class must be `TerminalFunction`
+
+    def run(self, path):    # The name of the function must be `run`, it takes only a positional argument.
+        # rewrite the function you have just written here 
+        ...
+        return generated_file_path
+```
+"""
+
+def inspect_dependency(chatbot, history):
+    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
+    return True
+
+def get_code_block(reply):
+    import re
+    pattern = r"```([\s\S]*?)```" # regex pattern to match code blocks
+    matches = re.findall(pattern, reply) # find all code blocks in text
+    if len(matches) == 1: 
+        return matches[0].strip('python') #  code block
+    for match in matches:
+        if 'class TerminalFunction' in match:
+            return match.strip('python') #  code block
+    raise RuntimeError("GPT is not generating proper code.")
+
+def gpt_interact_multi_step(txt, file_type, llm_kwargs, chatbot, history):
+    # 输入
+    prompt_compose = [
+        f'Your job:\n'
+        f'1. write a single Python function, which takes a path of a `{file_type}` file as the only argument and returns a `string` containing the result of analysis or the path of generated files. \n',
+        f"2. You should write this function to perform following task: " + txt + "\n",
+        f"3. Wrap the output python function with markdown codeblock."
+    ]
+    i_say = "".join(prompt_compose)
+    demo = []
+
+    # 第一步
+    gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
+        inputs=i_say, inputs_show_user=i_say, 
+        llm_kwargs=llm_kwargs, chatbot=chatbot, history=demo, 
+        sys_prompt= r"You are a world-class programmer."
+    )
+    history.extend([i_say, gpt_say])
+    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新
+
+    # 第二步
+    prompt_compose = [
+        "If previous stage is successful, rewrite the function you have just written to satisfy following templete: \n",
+        templete
+    ]
+    i_say = "".join(prompt_compose); inputs_show_user = "If previous stage is successful, rewrite the function you have just written to satisfy executable templete. "
+    gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
+        inputs=i_say, inputs_show_user=inputs_show_user, 
+        llm_kwargs=llm_kwargs, chatbot=chatbot, history=history, 
+        sys_prompt= r"You are a programmer. You need to replace `...` with valid packages, do not give `...` in your answer!"
+    )
+    code_to_return = gpt_say
+    history.extend([i_say, gpt_say])
+    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新
+    
+    # # 第三步
+    # i_say = "Please list to packages to install to run the code above. Then show me how to use `try_install_deps` function to install them."
+    # i_say += 'For instance. `try_install_deps(["opencv-python", "scipy", "numpy"])`'
+    # installation_advance = yield from request_gpt_model_in_new_thread_with_ui_alive(
+    #     inputs=i_say, inputs_show_user=inputs_show_user, 
+    #     llm_kwargs=llm_kwargs, chatbot=chatbot, history=history, 
+    #     sys_prompt= r"You are a programmer."
+    # )
+
+    # # # 第三步  
+    # i_say = "Show me how to use `pip` to install packages to run the code above. "
+    # i_say += 'For instance. `pip install -r opencv-python scipy numpy`'
+    # installation_advance = yield from request_gpt_model_in_new_thread_with_ui_alive(
+    #     inputs=i_say, inputs_show_user=i_say, 
+    #     llm_kwargs=llm_kwargs, chatbot=chatbot, history=history, 
+    #     sys_prompt= r"You are a programmer."
+    # )
+    installation_advance = ""
+    
+    return code_to_return, installation_advance, txt, file_type, llm_kwargs, chatbot, history
+
+
+
+
+def for_immediate_show_off_when_possible(file_type, fp, chatbot):
+    if file_type in ['png', 'jpg']:
+        image_path = os.path.abspath(fp)
+        chatbot.append(['这是一张图片, 展示如下:',  
+            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>'
+        ])
+    return chatbot
+
+
+
+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
+
+def get_recent_file_prompt_support(chatbot):
+    most_recent_uploaded = chatbot._cookies.get("most_recent_uploaded", None)
+    path = most_recent_uploaded['path']
+    return path
+
+@CatchException
+def 函数动态生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
+    """
+    txt             输入栏用户输入的文本，例如需要翻译的一段话，再例如一个包含了待处理文件的路径
+    llm_kwargs      gpt模型参数，如温度和top_p等，一般原样传递下去就行
+    plugin_kwargs   插件模型的参数，暂时没有用武之地
+    chatbot         聊天显示框的句柄，用于显示给用户
+    history         聊天历史，前情提要
+    system_prompt   给gpt的静默提醒
+    web_port        当前软件运行的端口号
+    """
+
+    # 清空历史
+    history = []
+
+    # 基本信息：功能、贡献者
+    chatbot.append(["正在启动: 插件动态生成插件", "插件动态生成, 执行开始, 作者Binary-Husky."])
+    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
+
+    # ⭐ 文件上传区是否有东西
+    # 1. 如果有文件: 作为函数参数
+    # 2. 如果没有文件：需要用GPT提取参数 （太懒了，以后再写，虚空终端已经实现了类似的代码）
+    file_list = []
+    if get_plugin_arg(plugin_kwargs, key="file_path_arg", default=False):
+        file_path = get_plugin_arg(plugin_kwargs, key="file_path_arg", default=None)
+        file_list.append(file_path)
+        yield from update_ui_lastest_msg(f"当前文件: {file_path}", chatbot, history, 1)
+    elif have_any_recent_upload_files(chatbot):
+        file_dir = get_recent_file_prompt_support(chatbot)
+        file_list = glob.glob(os.path.join(file_dir, '**/*'), recursive=True)
+        yield from update_ui_lastest_msg(f"当前文件处理列表: {file_list}", chatbot, history, 1)
+    else:
+        chatbot.append(["文件检索", "没有发现任何近期上传的文件。"])
+        yield from update_ui_lastest_msg("没有发现任何近期上传的文件。", chatbot, history, 1)
+        return  # 2. 如果没有文件
+    if len(file_list) == 0:
+        chatbot.append(["文件检索", "没有发现任何近期上传的文件。"])
+        yield from update_ui_lastest_msg("没有发现任何近期上传的文件。", chatbot, history, 1)
+        return  # 2. 如果没有文件
+    
+    # 读取文件
+    file_type = file_list[0].split('.')[-1]
+
+    # 粗心检查
+    if is_the_upload_folder(txt):
+        yield from update_ui_lastest_msg(f"请在输入框内填写需求, 然后再次点击该插件! 至于您的文件，不用担心, 文件路径 {txt} 已经被记忆. ", chatbot, history, 1)
+        return
+    
+    # 开始干正事
+    MAX_TRY = 3
+    for j in range(MAX_TRY):  # 最多重试5次
+        traceback = ""
+        try:
+            # ⭐ 开始啦 ！
+            code, installation_advance, txt, file_type, llm_kwargs, chatbot, history = \
+                yield from gpt_interact_multi_step(txt, file_type, llm_kwargs, chatbot, history)
+            chatbot.append(["代码生成阶段结束", ""])
+            yield from update_ui_lastest_msg(f"正在验证上述代码的有效性 ...", chatbot, history, 1)
+            # ⭐ 分离代码块
+            code = get_code_block(code)
+            # ⭐ 检查模块
+            ok, traceback = try_make_module(code, chatbot)
+            # 搞定代码生成
+            if ok: break
+        except Exception as e:
+            if not traceback: traceback = trimmed_format_exc()
+        # 处理异常
+        if not traceback: traceback = trimmed_format_exc()
+        yield from update_ui_lastest_msg(f"第 {j+1}/{MAX_TRY} 次代码生成尝试, 失败了~ 别担心, 我们5秒后再试一次... \n\n此次我们的错误追踪是\n```\n{traceback}\n```\n", chatbot, history, 5)
+
+    # 代码生成结束, 开始执行
+    TIME_LIMIT = 15
+    yield from update_ui_lastest_msg(f"开始创建新进程并执行代码! 时间限制 {TIME_LIMIT} 秒. 请等待任务完成... ", chatbot, history, 1)
+    manager = multiprocessing.Manager()
+    return_dict = manager.dict()
+
+    # ⭐ 到最后一步了，开始逐个文件进行处理
+    for file_path in file_list:
+        if os.path.exists(file_path):
+            chatbot.append([f"正在处理文件: {file_path}", f"请稍等..."])
+            chatbot = for_immediate_show_off_when_possible(file_type, file_path, chatbot)
+            yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新
+        else:
+            continue
+
+        # ⭐⭐⭐ subprocess_worker ⭐⭐⭐
+        p = multiprocessing.Process(target=subprocess_worker, args=(code, file_path, return_dict))
+        # ⭐ 开始执行，时间限制TIME_LIMIT
+        p.start(); p.join(timeout=TIME_LIMIT)
+        if p.is_alive(): p.terminate(); p.join()
+        p.close()
+        res = return_dict['result']
+        success = return_dict['success']
+        traceback = return_dict['traceback']
+        if not success:
+            if not traceback: traceback = trimmed_format_exc()
+            chatbot.append(["执行失败了", f"错误追踪\n```\n{trimmed_format_exc()}\n```\n"])
+            # chatbot.append(["如果是缺乏依赖，请参考以下建议", installation_advance])
+            yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
+            return
+        
+        # 顺利完成，收尾
+        res = str(res)
+        if os.path.exists(res):
+            chatbot.append(["执行成功了，结果是一个有效文件", "结果：" + res])
+            new_file_path = promote_file_to_downloadzone(res, chatbot=chatbot)
+            chatbot = for_immediate_show_off_when_possible(file_type, new_file_path, chatbot)
+            yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新
+        else:
+            chatbot.append(["执行成功了，结果是一个字符串", "结果：" + res])
+            yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新   
+

crazy_functions/批量翻译PDF文档_NOUGAT.py

@@ -102,7 +102,7 @@ def 解析PDF_基于NOUGAT(file_manifest, project_folder, llm_kwargs, plugin_kwa
     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)
         with open(fpp, 'r', encoding='utf8') as f:
             article_content = f.readlines()
         article_dict = markdown_to_dict(article_content)

crazy_functions/解析项目源代码.py

@@ -136,6 +136,23 @@ def 解析一个Python项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
         return
     yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
 
+@CatchException
+def 解析一个Matlab项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
+    history = []    # 清空历史，以免输入溢出
+    import glob, os
+    if os.path.exists(txt):
+        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}")
+        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}")
+        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)
 
 @CatchException
 def 解析一个C项目的头文件(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):

crazy_functions/语音助手.py

@@ -6,6 +6,7 @@ import threading, time
 import numpy as np
 from .live_audio.aliyunASR import AliyunASR
 import json
+import re
 
 class WatchDog():
     def __init__(self, timeout, bark_fn, interval=3, msg="") -> None:
@@ -38,10 +39,22 @@ def chatbot2history(chatbot):
     history = []
     for c in chatbot:
         for q in c:
-            if q not in ["[请讲话]", "[等待GPT响应]", "[正在等您说完问题]"]:
+            if q in ["[ 请讲话 ]", "[ 等待GPT响应 ]", "[ 正在等您说完问题 ]"]:
+                continue
+            elif q.startswith("[ 正在等您说完问题 ]"):
+                continue
+            else:
                 history.append(q.strip('<div class="markdown-body">').strip('</div>').strip('<p>').strip('</p>'))
     return history
 
+def visualize_audio(chatbot, audio_shape):
+    if len(chatbot) == 0: chatbot.append(["[ 请讲话 ]", "[ 正在等您说完问题 ]"])
+    chatbot[-1] = list(chatbot[-1])
+    p1 = '「'
+    p2 = '」'
+    chatbot[-1][-1] = re.sub(p1+r'(.*)'+p2, '', chatbot[-1][-1])
+    chatbot[-1][-1] += (p1+f"`{audio_shape}`"+p2)
+
 class AsyncGptTask():
     def __init__(self) -> None:
         self.observe_future = []
@@ -81,8 +94,9 @@ class InterviewAssistant(AliyunASR):
         self.capture_interval = 0.5 # second
         self.stop = False
         self.parsed_text = ""   # 下个句子中已经说完的部分, 由 test_on_result_chg() 写入
-        self.parsed_sentence = ""   # 某段话的整个句子,由 test_on_sentence_end() 写入
+        self.parsed_sentence = ""   # 某段话的整个句子, 由 test_on_sentence_end() 写入
         self.buffered_sentence = ""    #
+        self.audio_shape = ""   # 音频的可视化表现, 由 audio_convertion_thread() 写入
         self.event_on_result_chg = threading.Event()
         self.event_on_entence_end = threading.Event()
         self.event_on_commit_question = threading.Event()
@@ -117,7 +131,7 @@ class InterviewAssistant(AliyunASR):
     def begin(self, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
         # main plugin function
         self.init(chatbot)
-        chatbot.append(["[请讲话]", "[正在等您说完问题]"])
+        chatbot.append(["[ 请讲话 ]", "[ 正在等您说完问题 ]"])
         yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
         self.plugin_wd.begin_watch()
         self.agt = AsyncGptTask()
@@ -157,14 +171,18 @@ class InterviewAssistant(AliyunASR):
 
                 self.commit_wd.begin_watch()
                 chatbot[-1] = list(chatbot[-1])
-                chatbot[-1] = [self.buffered_sentence, "[等待GPT响应]"]
+                chatbot[-1] = [self.buffered_sentence, "[ 等待GPT响应 ]"]
                 yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
                 # add gpt task 创建子线程请求gpt，避免线程阻塞
                 history = chatbot2history(chatbot)
                 self.agt.add_async_gpt_task(self.buffered_sentence, len(chatbot)-1, llm_kwargs, history, system_prompt)
                 
                 self.buffered_sentence = ""
-                chatbot.append(["[请讲话]", "[正在等您说完问题]"])
+                chatbot.append(["[ 请讲话 ]", "[ 正在等您说完问题 ]"])
+                yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
+
+            if not self.event_on_result_chg.is_set() and not self.event_on_entence_end.is_set() and not self.event_on_commit_question.is_set():
+                visualize_audio(chatbot, self.audio_shape)
                 yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
 
         if len(self.stop_msg) != 0:
@@ -183,7 +201,7 @@ def 语音助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt
         import nls
         from scipy import io
     except:
-        chatbot.append(["导入依赖失败", "使用该模块需要额外依赖, 安装方法:```pip install --upgrade aliyun-python-sdk-core==2.13.3 pyOpenSSL scipy git+https://github.com/aliyun/alibabacloud-nls-python-sdk.git```"])
+        chatbot.append(["导入依赖失败", "使用该模块需要额外依赖, 安装方法:```pip install --upgrade aliyun-python-sdk-core==2.13.3 pyOpenSSL webrtcvad scipy git+https://github.com/aliyun/alibabacloud-nls-python-sdk.git```"])
         yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
         return
 

crazy_functions/谷歌检索小助手.py

@@ -26,7 +26,13 @@ def get_meta_information(url, chatbot, history):
         'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7', 
         'Connection': 'keep-alive'
     }
-    session.proxies.update(proxies)
+    try:
+        session.proxies.update(proxies)
+    except:
+        report_execption(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
     session.headers.update(headers)
 
     response = session.get(url)

docker-compose.yml

@@ -1,4 +1,28 @@
-#【请修改完参数后，删除此行】请在以下方案中选择一种，然后删除其他的方案，最后docker-compose up运行 | Please choose from one of these options below, delete other options as well as This Line
+## ===================================================
+# docker-compose.yml
+## ===================================================
+# 1. 请在以下方案中选择任意一种，然后删除其他的方案
+# 2. 修改你选择的方案中的environment环境变量，详情请见github wiki或者config.py
+# 3. 选择一种暴露服务端口的方法，并对相应的配置做出修改：
+    # 【方法1: 适用于Linux，很方便，可惜windows不支持】与宿主的网络融合为一体，这个是默认配置
+    # network_mode: "host"
+    # 【方法2: 适用于所有系统包括Windows和MacOS】端口映射，把容器的端口映射到宿主的端口（注意您需要先删除network_mode: "host"，再追加以下内容）
+    # ports:
+    #   - "12345:12345"  # 注意！12345必须与WEB_PORT环境变量相互对应
+# 4. 最后`docker-compose up`运行
+# 5. 如果希望使用显卡，请关注 LOCAL_MODEL_DEVICE 和 英伟达显卡运行时 选项
+## ===================================================
+# 1. Please choose one of the following options and delete the others.
+# 2. Modify the environment variables in the selected option, see GitHub wiki or config.py for more details.
+# 3. Choose a method to expose the server port and make the corresponding configuration changes:
+    # [Method 1: Suitable for Linux, convenient, but not supported for Windows] Fusion with the host network, this is the default configuration
+    # network_mode: "host"
+    # [Method 2: Suitable for all systems including Windows and MacOS] Port mapping, mapping the container port to the host port (note that you need to delete network_mode: "host" first, and then add the following content)
+    # ports:
+    # - "12345: 12345" # Note! 12345 must correspond to the WEB_PORT environment variable.
+# 4. Finally, run `docker-compose up`.
+# 5. If you want to use a graphics card, pay attention to the LOCAL_MODEL_DEVICE and Nvidia GPU runtime options.
+## ===================================================
 
 ## ===================================================
 ## 【方案零】 部署项目的全部能力（这个是包含cuda和latex的大型镜像。如果您网速慢、硬盘小或没有显卡，则不推荐使用这个）
@@ -8,10 +32,10 @@ services:
   gpt_academic_full_capability:
     image: ghcr.io/binary-husky/gpt_academic_with_all_capacity:master
     environment:
-    # 请查阅 `config.py`或者 github wiki 以查看所有的配置信息
+      # 请查阅 `config.py`或者 github wiki 以查看所有的配置信息
       API_KEY:                  '  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                        '
-    # USE_PROXY:                '  True                                                                       '
+      # USE_PROXY:                '  True                                                                       '
-    # proxies:                  '  { "http": "http://localhost:10881", "https": "http://localhost:10881", }   '
+      # proxies:                  '  { "http": "http://localhost:10881", "https": "http://localhost:10881", }   '
       LLM_MODEL:                '  gpt-3.5-turbo                                                              '
       AVAIL_LLM_MODELS:         '  ["gpt-3.5-turbo", "gpt-4", "qianfan", "sparkv2", "spark", "chatglm"]       '
       BAIDU_CLOUD_API_KEY :     '  bTUtwEAveBrQipEowUvDwYWq                                                   '
@@ -27,7 +51,7 @@ services:
       THEME:                    '  Chuanhu-Small-and-Beautiful                                                '
       ALIYUN_ACCESSKEY:         '  LTAI5t6BrFUzxRXVGUWnekh1                                                   '
       ALIYUN_SECRET:            '  eHmI20SVWIwQZxCiTD2bGQVspP9i68                                             '
-    # LOCAL_MODEL_DEVICE:       '  cuda                                                                       '
+      # LOCAL_MODEL_DEVICE:       '  cuda                                                                       '
 
     # 加载英伟达显卡运行时
     # runtime: nvidia
@@ -39,10 +63,14 @@ services:
     #             count: 1
     #             capabilities: [gpu]
 
-    # 与宿主的网络融合
+    # 【WEB_PORT暴露方法1: 适用于Linux】与宿主的网络融合
     network_mode: "host"
 
-    # 不使用代理网络拉取最新代码
+    # 【WEB_PORT暴露方法2: 适用于所有系统】端口映射
+    # ports:
+    #   - "12345:12345"  # 12345必须与WEB_PORT相互对应
+
+    # 启动容器后，运行main.py主程序
     command: >
       bash -c "python3 -u main.py"
 

docs/GithubAction+AllCapacity

@@ -13,21 +13,20 @@ RUN python3 -m pip install openai numpy arxiv rich
 RUN python3 -m pip install colorama Markdown pygments pymupdf
 RUN python3 -m pip install python-docx moviepy pdfminer
 RUN python3 -m pip install zh_langchain==0.2.1 pypinyin
-RUN python3 -m pip install nougat-ocr
 RUN python3 -m pip install rarfile py7zr
-RUN python3 -m pip install aliyun-python-sdk-core==2.13.3 pyOpenSSL scipy git+https://github.com/aliyun/alibabacloud-nls-python-sdk.git
+RUN python3 -m pip install aliyun-python-sdk-core==2.13.3 pyOpenSSL webrtcvad scipy git+https://github.com/aliyun/alibabacloud-nls-python-sdk.git
 # 下载分支
 WORKDIR /gpt
 RUN git clone --depth=1 https://github.com/binary-husky/gpt_academic.git
 WORKDIR /gpt/gpt_academic
-RUN git clone https://github.com/OpenLMLab/MOSS.git request_llm/moss
+RUN git clone --depth=1 https://github.com/OpenLMLab/MOSS.git request_llm/moss
 
 RUN python3 -m pip install -r requirements.txt
 RUN python3 -m pip install -r request_llm/requirements_moss.txt
 RUN python3 -m pip install -r request_llm/requirements_qwen.txt
 RUN python3 -m pip install -r request_llm/requirements_chatglm.txt
 RUN python3 -m pip install -r request_llm/requirements_newbing.txt
-
+RUN python3 -m pip install nougat-ocr
 
 
 # 预热Tiktoken模块

docs/GithubAction+NoLocal+Latex

@@ -5,15 +5,16 @@
 
 FROM fuqingxu/python311_texlive_ctex:latest
 
+# 删除文档文件以节约空间
+rm -rf /usr/local/texlive/2023/texmf-dist/doc
+
 # 指定路径
 WORKDIR /gpt
 
-RUN pip3 install gradio openai numpy arxiv rich
+RUN pip3 install openai numpy arxiv rich
 RUN pip3 install colorama Markdown pygments pymupdf
-RUN pip3 install python-docx moviepy pdfminer 
+RUN pip3 install python-docx pdfminer 
-RUN pip3 install zh_langchain==0.2.1
 RUN pip3 install nougat-ocr
-RUN pip3 install aliyun-python-sdk-core==2.13.3 pyOpenSSL scipy git+https://github.com/aliyun/alibabacloud-nls-python-sdk.git
 
 # 装载项目文件
 COPY . .

docs/translate_english.json

@@ -322,7 +322,7 @@
     "任何文件": "Any file",
     "但推荐上传压缩文件": "But it is recommended to upload compressed files",
     "更换模型 & SysPrompt & 交互界面布局": "Change model & SysPrompt & interactive interface layout",
-    "底部输入区": "Bottom input area",
+    "浮动输入区": "Floating input area",
     "输入清除键": "Input clear key",
     "插件参数区": "Plugin parameter area",
     "显示/隐藏功能区": "Show/hide function area",
@@ -2513,5 +2513,141 @@
     "此处待注入的知识库名称id": "The knowledge base name ID to be injected here",
     "您需要构建知识库后再运行此插件": "You need to build the knowledge base before running this plugin",
     "判定是否为公式 | 测试1 写出洛伦兹定律": "Determine whether it is a formula | Test 1 write out the Lorentz law",
-    "构建知识库后": "After building the knowledge base"
+    "构建知识库后": "After building the knowledge base",
+    "找不到本地项目或无法处理": "Unable to find local project or unable to process",
+    "再做一个小修改": "Make another small modification",
+    "解析整个Matlab项目": "Parse the entire Matlab project",
+    "需要用GPT提取参数": "Need to extract parameters using GPT",
+    "文件路径": "File path",
+    "正在排队": "In queue",
+    "-=-=-=-=-=-=-=-= 写出第1个文件": "-=-=-=-=-=-=-=-= Write the first file",
+    "仅翻译后的文本 -=-=-=-=-=-=-=-=": "Translated text only -=-=-=-=-=-=-=-=",
+    "对话通道": "Conversation channel",
+    "找不到任何": "Unable to find any",
+    "正在启动": "Starting",
+    "开始创建新进程并执行代码! 时间限制": "Start creating a new process and executing the code! Time limit",
+    "解析Matlab项目": "Parse Matlab project",
+    "更换UI主题": "Change UI theme",
+    "⭐ 开始啦 ！": "⭐ Let's start!",
+    "先提取当前英文标题": "First extract the current English title",
+    "睡一会防止触发google反爬虫": "Sleep for a while to prevent triggering Google anti-crawler",
+    "测试": "Test",
+    "-=-=-=-=-=-=-=-= 写出Markdown文件 -=-=-=-=-=-=-=-=": "-=-=-=-=-=-=-=-= Write out Markdown file",
+    "如果index是1的话": "If the index is 1",
+    "VoidTerminal已经实现了类似的代码": "VoidTerminal has already implemented similar code",
+    "等待线程锁": "Waiting for thread lock",
+    "那么我们默认代理生效": "Then we default to proxy",
+    "结果是一个有效文件": "The result is a valid file",
+    "⭐ 检查模块": "⭐ Check module",
+    "备份一份History作为记录": "Backup a copy of History as a record",
+    "作者Binary-Husky": "Author Binary-Husky",
+    "将csv文件转excel表格": "Convert CSV file to Excel table",
+    "获取文章摘要": "Get article summary",
+    "次代码生成尝试": "Attempt to generate code",
+    "如果参数是空的": "If the parameter is empty",
+    "请配置讯飞星火大模型的XFYUN_APPID": "Please configure XFYUN_APPID for the Xunfei Starfire model",
+    "-=-=-=-=-=-=-=-= 写出第2个文件": "Write the second file",
+    "代码生成阶段结束": "Code generation phase completed",
+    "则进行提醒": "Then remind",
+    "处理异常": "Handle exception",
+    "可能触发了google反爬虫机制": "May have triggered Google anti-crawler mechanism",
+    "AnalyzeAMatlabProject的所有源文件": "All source files of AnalyzeAMatlabProject",
+    "写入": "Write",
+    "我们5秒后再试一次...": "Let's try again in 5 seconds...",
+    "判断一下用户是否错误地通过对话通道进入": "Check if the user entered through the dialogue channel by mistake",
+    "结果": "Result",
+    "2. 如果没有文件": "2. If there is no file",
+    "由 test_on_sentence_end": "By test_on_sentence_end",
+    "则直接使用first section name": "Then directly use the first section name",
+    "太懒了": "Too lazy",
+    "记录当前的大章节标题": "Record the current chapter title",
+    "然后再次点击该插件! 至于您的文件": "Then click the plugin again! As for your file",
+    "此次我们的错误追踪是": "This time our error tracking is",
+    "首先在arxiv上搜索": "First search on arxiv",
+    "被新插件取代": "Replaced by a new plugin",
+    "正在处理文件": "Processing file",
+    "除了连接OpenAI之外": "In addition to connecting OpenAI",
+    "我们检查一下": "Let's check",
+    "进度": "Progress",
+    "处理少数情况下的特殊插件的锁定状态": "Handle the locked state of special plugins in a few cases",
+    "⭐ 开始执行": "⭐ Start execution",
+    "正常情况": "Normal situation",
+    "下个句子中已经说完的部分": "The part that has already been said in the next sentence",
+    "首次运行需要花费较长时间下载NOUGAT参数": "The first run takes a long time to download NOUGAT parameters",
+    "使用tex格式公式 测试2 给出柯西不等式": "Use the tex format formula to test 2 and give the Cauchy inequality",
+    "无法从bing获取信息！": "Unable to retrieve information from Bing!",
+    "秒. 请等待任务完成": "Wait for the task to complete",
+    "开始干正事": "Start doing real work",
+    "需要花费较长时间下载NOUGAT参数": "It takes a long time to download NOUGAT parameters",
+    "然后再次点击该插件": "Then click the plugin again",
+    "受到bing限制": "Restricted by Bing",
+    "检索文章的历史版本的题目": "Retrieve the titles of historical versions of the article",
+    "收尾": "Wrap up",
+    "给定了task": "Given a task",
+    "某段话的整个句子": "The whole sentence of a paragraph",
+    "-=-=-=-=-=-=-=-= 写出HTML文件 -=-=-=-=-=-=-=-=": "-=-=-=-=-=-=-=-= Write out HTML file -=-=-=-=-=-=-=-=",
+    "当前文件": "Current file",
+    "请在输入框内填写需求": "Please fill in the requirements in the input box",
+    "结果是一个字符串": "The result is a string",
+    "用插件实现」": "Implemented with a plugin",
+    "⭐ 到最后一步了": "⭐ Reached the final step",
+    "重新修改当前part的标题": "Modify the title of the current part again",
+    "请勿点击“提交”按钮或者“基础功能区”按钮": "Do not click the 'Submit' button or the 'Basic Function Area' button",
+    "正在执行命令": "Executing command",
+    "检测到**滞留的缓存文档**": "Detected **stuck cache document**",
+    "第三步": "Step three",
+    "失败了~ 别担心": "Failed~ Don't worry",
+    "动态代码解释器": "Dynamic code interpreter",
+    "开始执行": "Start executing",
+    "不给定task": "No task given",
+    "正在加载NOUGAT...": "Loading NOUGAT...",
+    "精准翻译PDF文档": "Accurate translation of PDF documents",
+    "时间限制TIME_LIMIT": "Time limit TIME_LIMIT",
+    "翻译前后混合 -=-=-=-=-=-=-=-=": "Mixed translation before and after -=-=-=-=-=-=-=-=",
+    "搞定代码生成": "Code generation is done",
+    "插件通道": "Plugin channel",
+    "智能体": "Intelligent agent",
+    "切换界面明暗 ☀": "Switch interface brightness ☀",
+    "交换图像的蓝色通道和红色通道": "Swap blue channel and red channel of the image",
+    "作为函数参数": "As a function parameter",
+    "先挑选偶数序列号": "First select even serial numbers",
+    "仅供测试": "For testing only",
+    "执行成功了": "Execution succeeded",
+    "开始逐个文件进行处理": "Start processing files one by one",
+    "当前文件处理列表": "Current file processing list",
+    "执行失败了": "Execution failed",
+    "请及时处理": "Please handle it in time",
+    "源文件": "Source file",
+    "裁剪图像": "Crop image",
+    "插件动态生成插件": "Dynamic generation of plugins",
+    "正在验证上述代码的有效性": "Validating the above code",
+    "⭐ = 关键步骤": "⭐ = Key step",
+    "!= 0 代表“提交”键对话通道": "!= 0 represents the 'Submit' key dialogue channel",
+    "解析python源代码项目": "Parsing Python source code project",
+    "请检查PDF是否损坏": "Please check if the PDF is damaged",
+    "插件动态生成": "Dynamic generation of plugins",
+    "⭐ 分离代码块": "⭐ Separating code blocks",
+    "已经被记忆": "Already memorized",
+    "默认用英文的": "Default to English",
+    "错误追踪": "Error tracking",
+    "对话|编程|学术|智能体": "Dialogue|Programming|Academic|Intelligent agent",
+    "请检查": "Please check",
+    "检测到被滞留的缓存文档": "Detected cached documents being left behind",
+    "还有哪些场合允许使用代理": "What other occasions allow the use of proxies",
+    "1. 如果有文件": "1. If there is a file",
+    "执行开始": "Execution starts",
+    "代码生成结束": "Code generation ends",
+    "请及时点击“**保存当前对话**”获取所有滞留文档": "Please click '**Save Current Dialogue**' in time to obtain all cached documents",
+    "需点击“**函数插件区**”按钮进行处理": "Click the '**Function Plugin Area**' button for processing",
+    "此函数已经弃用": "This function has been deprecated",
+    "以后再写": "Write it later",
+    "返回给定的url解析出的arxiv_id": "Return the arxiv_id parsed from the given URL",
+    "⭐ 文件上传区是否有东西": "⭐ Is there anything in the file upload area",
+    "Nougat解析论文失败": "Nougat failed to parse the paper",
+    "本源代码中": "In this source code",
+    "或者基础功能通道": "Or the basic function channel",
+    "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"
 }

docs/translate_japanese.json

@@ -1007,7 +1007,6 @@
     "第一部分": "第1部分",
     "的分析如下": "の分析は以下の通りです",
     "解决一个mdx_math的bug": "mdx_mathのバグを解決する",
-    "底部输入区": "下部の入力エリア",
     "函数插件输入输出接驳区": "関数プラグインの入出力接続エリア",
     "打开浏览器": "ブラウザを開く",
     "免费用户填3": "無料ユーザーは3を入力してください",

docs/translate_std.json

@@ -90,5 +90,7 @@
     "解析PDF_基于GROBID": "ParsePDF_BasedOnGROBID",
     "虚空终端主路由": "VoidTerminalMainRoute",
     "批量翻译PDF文档_NOUGAT": "BatchTranslatePDFDocuments_NOUGAT",
-    "解析PDF_基于NOUGAT": "ParsePDF_NOUGAT"
+    "解析PDF_基于NOUGAT": "ParsePDF_NOUGAT",
+    "解析一个Matlab项目": "AnalyzeAMatlabProject",
+    "函数动态生成": "DynamicFunctionGeneration"
 }

docs/translate_traditionalchinese.json

@@ -346,7 +346,6 @@
     "情况会好转": "情況會好轉",
     "超过512个": "超過512個",
     "多线": "多線",
-    "底部输入区": "底部輸入區",
     "合并小写字母开头的段落块并替换为空格": "合併小寫字母開頭的段落塊並替換為空格",
     "暗色主题": "暗色主題",
     "提高限制请查询": "提高限制請查詢",

docs/use_azure.md

@@ -107,6 +107,12 @@ AZURE_API_KEY = "填入azure openai api的密钥"
 AZURE_API_VERSION = "2023-05-15"  # 默认使用 2023-05-15 版本，无需修改
 AZURE_ENGINE = "填入部署名" # 见上述图片
 
+
+# 例如
+API_KEY = '6424e9d19e674092815cea1cb35e67a5'
+AZURE_ENDPOINT = 'https://rhtjjjjjj.openai.azure.com/'
+AZURE_ENGINE = 'qqwe'
+LLM_MODEL = "azure-gpt-3.5" # 可选 ↓↓↓
 ```
 
 

main.py

@@ -1,23 +1,37 @@
 import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
+import pickle
+import codecs
+import base64
 
 def main():
     import gradio as gr
-    if gr.__version__ not in ['3.28.3','3.32.2']: assert False, "需要特殊依赖，请务必用 pip install -r requirements.txt 指令安装依赖，详情信息见requirements.txt"
+    if gr.__version__ not in ['3.32.6']: 
+        raise ModuleNotFoundError("使用项目内置Gradio获取最优体验! 请运行 `pip install -r requirements.txt` 指令安装内置Gradio及其他依赖, 详情信息见requirements.txt.")
     from request_llm.bridge_all import predict
     from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, load_chat_cookies, DummyWith
     # 建议您复制一个config_private.py放自己的秘密, 如API和代理网址, 避免不小心传github被别人看到
     proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION = get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION')
     CHATBOT_HEIGHT, LAYOUT, AVAIL_LLM_MODELS, AUTO_CLEAR_TXT = get_conf('CHATBOT_HEIGHT', 'LAYOUT', 'AVAIL_LLM_MODELS', 'AUTO_CLEAR_TXT')
-    ENABLE_AUDIO, AUTO_CLEAR_TXT, PATH_LOGGING = get_conf('ENABLE_AUDIO', 'AUTO_CLEAR_TXT', 'PATH_LOGGING')
+    ENABLE_AUDIO, AUTO_CLEAR_TXT, PATH_LOGGING, AVAIL_THEMES, THEME = get_conf('ENABLE_AUDIO', 'AUTO_CLEAR_TXT', 'PATH_LOGGING', 'AVAIL_THEMES', 'THEME')
+    DARK_MODE, NUM_CUSTOM_BASIC_BTN, SSL_KEYFILE, SSL_CERTFILE = get_conf('DARK_MODE', 'NUM_CUSTOM_BASIC_BTN', 'SSL_KEYFILE', 'SSL_CERTFILE')
 
     # 如果WEB_PORT是-1, 则随机选取WEB端口
     PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
     from check_proxy import get_current_version
-    from themes.theme import adjust_theme, advanced_css, theme_declaration
+    from themes.theme import adjust_theme, advanced_css, theme_declaration, load_dynamic_theme
+
     initial_prompt = "Serve me as a writing and programming assistant."
     title_html = f"<h1 align=\"center\">GPT 学术优化 {get_current_version()}</h1>{theme_declaration}"
-    description =  "代码开源和更新[地址🚀](https://github.com/binary-husky/gpt_academic)，"
+    description =  "Github源代码开源和更新[地址🚀](https://github.com/binary-husky/gpt_academic), "
-    description += "感谢热情的[开发者们❤️](https://github.com/binary-husky/gpt_academic/graphs/contributors)"
+    description += "感谢热情的[开发者们❤️](https://github.com/binary-husky/gpt_academic/graphs/contributors)."
+    description += "</br></br>常见问题请查阅[项目Wiki](https://github.com/binary-husky/gpt_academic/wiki), "
+    description += "如遇到Bug请前往[Bug反馈](https://github.com/binary-husky/gpt_academic/issues)."
+    description += "</br></br>普通对话使用说明: 1. 输入问题; 2. 点击提交"
+    description += "</br></br>基础功能区使用说明: 1. 输入文本; 2. 点击任意基础功能区按钮"
+    description += "</br></br>函数插件区使用说明: 1. 输入路径/问题, 或者上传文件; 2. 点击任意函数插件区按钮"
+    description += "</br></br>虚空终端使用说明: 点击虚空终端, 然后根据提示输入指令, 再次点击虚空终端"
+    description += "</br></br>如何保存对话: 点击保存当前的对话按钮"
+    description += "</br></br>如何语音对话: 请阅读Wiki"
 
     # 问询记录, python 版本建议3.9+（越新越好）
     import logging, uuid
@@ -57,8 +71,11 @@ def main():
         CHATBOT_HEIGHT /= 2
 
     cancel_handles = []
+    customize_btns = {}
+    predefined_btns = {}
     with gr.Blocks(title="GPT 学术优化", theme=set_theme, analytics_enabled=False, css=advanced_css) as demo:
         gr.HTML(title_html)
+        secret_css, dark_mode, persistent_cookie = gr.Textbox(visible=False), gr.Textbox(DARK_MODE, visible=False), gr.Textbox(visible=False)
         cookies = gr.State(load_chat_cookies())
         with gr_L1():
             with gr_L2(scale=2, elem_id="gpt-chat"):
@@ -70,11 +87,11 @@ def main():
                     with gr.Row():
                         txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False)
                     with gr.Row():
-                        submitBtn = gr.Button("提交", variant="primary")
+                        submitBtn = gr.Button("提交", elem_id="elem_submit", variant="primary")
                     with gr.Row():
-                        resetBtn = gr.Button("重置", variant="secondary"); resetBtn.style(size="sm")
+                        resetBtn = gr.Button("重置", elem_id="elem_reset", variant="secondary"); resetBtn.style(size="sm")
-                        stopBtn = gr.Button("停止", variant="secondary"); stopBtn.style(size="sm")
+                        stopBtn = gr.Button("停止", elem_id="elem_stop", variant="secondary"); stopBtn.style(size="sm")
-                        clearBtn = gr.Button("清除", variant="secondary", visible=False); clearBtn.style(size="sm")
+                        clearBtn = gr.Button("清除", elem_id="elem_clear", variant="secondary", visible=False); clearBtn.style(size="sm")
                     if ENABLE_AUDIO: 
                         with gr.Row():
                             audio_mic = gr.Audio(source="microphone", type="numpy", streaming=True, show_label=False).style(container=False)
@@ -82,11 +99,16 @@ def main():
                         status = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行。当前模型: {LLM_MODEL} \n {proxy_info}", elem_id="state-panel")
                 with gr.Accordion("基础功能区", open=True, elem_id="basic-panel") as area_basic_fn:
                     with gr.Row():
+                        for k in range(NUM_CUSTOM_BASIC_BTN):
+                            customize_btn = gr.Button("自定义按钮" + str(k+1), visible=False, variant="secondary", info_str=f'基础功能区: 自定义按钮')
+                            customize_btn.style(size="sm")
+                            customize_btns.update({"自定义按钮" + str(k+1): customize_btn})
                         for k in functional:
                             if ("Visible" in functional[k]) and (not functional[k]["Visible"]): continue
                             variant = functional[k]["Color"] if "Color" in functional[k] else "secondary"
-                            functional[k]["Button"] = gr.Button(k, variant=variant)
+                            functional[k]["Button"] = gr.Button(k, variant=variant, info_str=f'基础功能区: {k}')
                             functional[k]["Button"].style(size="sm")
+                            predefined_btns.update({k: functional[k]["Button"]})
                 with gr.Accordion("函数插件区", open=True, elem_id="plugin-panel") as area_crazy_fn:
                     with gr.Row():
                         gr.Markdown("插件可读取“输入区”文本/路径作为参数（上传文件自动修正路径）")
@@ -98,7 +120,9 @@ def main():
                             if not plugin.get("AsButton", True): continue
                             visible = True if match_group(plugin['Group'], DEFAULT_FN_GROUPS) else False
                             variant = plugins[k]["Color"] if "Color" in plugin else "secondary"
-                            plugin['Button'] = plugins[k]['Button'] = gr.Button(k, variant=variant, visible=visible).style(size="sm")
+                            info = plugins[k].get("Info", k)
+                            plugin['Button'] = plugins[k]['Button'] = gr.Button(k, variant=variant, 
+                                visible=visible, info_str=f'函数插件区: {info}').style(size="sm")
                     with gr.Row():
                         with gr.Accordion("更多函数插件", open=True):
                             dropdown_fn_list = []
@@ -115,15 +139,29 @@ def main():
                                 switchy_bt = gr.Button(r"请先从插件列表中选择", variant="secondary").style(size="sm")
                     with gr.Row():
                         with gr.Accordion("点击展开“文件上传区”。上传本地文件/压缩包供函数插件调用。", open=False) as area_file_up:
-                            file_upload = gr.Files(label="任何文件, 但推荐上传压缩文件(zip, tar)", file_count="multiple")
+                            file_upload = gr.Files(label="任何文件, 推荐上传压缩文件(zip, tar)", file_count="multiple", elem_id="elem_upload")
-                with gr.Accordion("更换模型 & SysPrompt & 交互界面布局", open=(LAYOUT == "TOP-DOWN"), elem_id="interact-panel"):
+
-                    system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt)
+
+        with gr.Floating(init_x="0%", init_y="0%", visible=True, width=None, drag="forbidden"):
+            with gr.Row():
+                with gr.Tab("上传文件", elem_id="interact-panel"):
+                    gr.Markdown("请上传本地文件/压缩包供“函数插件区”功能调用。请注意: 上传文件后会自动把输入区修改为相应路径。")
+                    file_upload_2 = gr.Files(label="任何文件, 推荐上传压缩文件(zip, tar)", file_count="multiple")
+    
+                with gr.Tab("更换模型 & Prompt", elem_id="interact-panel"):
+                    md_dropdown = gr.Dropdown(AVAIL_LLM_MODELS, value=LLM_MODEL, label="更换LLM模型/请求源").style(container=False)
                     top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
                     temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
-                    max_length_sl = gr.Slider(minimum=256, maximum=8192, value=4096, step=1, interactive=True, label="Local LLM MaxLength",)
+                    max_length_sl = gr.Slider(minimum=256, maximum=1024*32, value=4096, step=128, interactive=True, label="Local LLM MaxLength",)
-                    checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区", "底部输入区", "输入清除键", "插件参数区"], value=["基础功能区", "函数插件区"], label="显示/隐藏功能区")
+                    system_prompt = gr.Textbox(show_label=True, lines=2, placeholder=f"System Prompt", label="System prompt", value=initial_prompt)
-                    md_dropdown = gr.Dropdown(AVAIL_LLM_MODELS, value=LLM_MODEL, label="更换LLM模型/请求源").style(container=False)
+
-                    dark_mode_btn = gr.Button("Toggle Dark Mode ☀", variant="secondary").style(size="sm")
+                with gr.Tab("界面外观", elem_id="interact-panel"):
+                    theme_dropdown = gr.Dropdown(AVAIL_THEMES, value=THEME, label="更换UI主题").style(container=False)
+                    checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区", "浮动输入区", "输入清除键", "插件参数区"], 
+                                                  value=["基础功能区", "函数插件区"], label="显示/隐藏功能区", elem_id='cbs').style(container=False)
+                    checkboxes_2 = gr.CheckboxGroup(["自定义菜单"], 
+                                                  value=[], label="显示/隐藏自定义菜单", elem_id='cbs').style(container=False)
+                    dark_mode_btn = gr.Button("切换界面明暗 ☀", variant="secondary").style(size="sm")
                     dark_mode_btn.click(None, None, None, _js="""() => {
                             if (document.querySelectorAll('.dark').length) {
                                 document.querySelectorAll('.dark').forEach(el => el.classList.remove('dark'));
@@ -132,30 +170,113 @@ def main():
                             }
                         }""",
                     )
+                with gr.Tab("帮助", elem_id="interact-panel"):
                     gr.Markdown(description)
-                with gr.Accordion("备选输入区", open=True, visible=False, elem_id="input-panel2") as area_input_secondary:
+
-                    with gr.Row():
+        with gr.Floating(init_x="20%", init_y="50%", visible=False, width="40%", drag="top") as area_input_secondary:
-                        txt2 = gr.Textbox(show_label=False, placeholder="Input question here.", label="输入区2").style(container=False)
+            with gr.Accordion("浮动输入区", open=True, elem_id="input-panel2"):
-                    with gr.Row():
+                with gr.Row() as row:
-                        submitBtn2 = gr.Button("提交", variant="primary")
+                    row.style(equal_height=True)
-                    with gr.Row():
+                    with gr.Column(scale=10):
+                        txt2 = gr.Textbox(show_label=False, placeholder="Input question here.", lines=8, label="输入区2").style(container=False)
+                    with gr.Column(scale=1, min_width=40):
+                        submitBtn2 = gr.Button("提交", variant="primary"); submitBtn2.style(size="sm")
                         resetBtn2 = gr.Button("重置", variant="secondary"); resetBtn2.style(size="sm")
                         stopBtn2 = gr.Button("停止", variant="secondary"); stopBtn2.style(size="sm")
                         clearBtn2 = gr.Button("清除", variant="secondary", visible=False); clearBtn2.style(size="sm")
 
+        def to_cookie_str(d):
+            # Pickle the dictionary and encode it as a string
+            pickled_dict = pickle.dumps(d)
+            cookie_value = base64.b64encode(pickled_dict).decode('utf-8')
+            return cookie_value
+        
+        def from_cookie_str(c):
+            # Decode the base64-encoded string and unpickle it into a dictionary
+            pickled_dict = base64.b64decode(c.encode('utf-8'))
+            return pickle.loads(pickled_dict)
+
+        with gr.Floating(init_x="20%", init_y="50%", visible=False, width="40%", drag="top") as area_customize:
+            with gr.Accordion("自定义菜单", open=True, elem_id="edit-panel"):
+                with gr.Row() as row:
+                    with gr.Column(scale=10):
+                        AVAIL_BTN = [btn for btn in customize_btns.keys()] + [k for k in functional]
+                        basic_btn_dropdown = gr.Dropdown(AVAIL_BTN, value="自定义按钮1", label="选择一个需要自定义基础功能区按钮").style(container=False)
+                        basic_fn_title = gr.Textbox(show_label=False, placeholder="输入新按钮名称", lines=1).style(container=False)
+                        basic_fn_prefix = gr.Textbox(show_label=False, placeholder="输入新提示前缀", lines=4).style(container=False)
+                        basic_fn_suffix = gr.Textbox(show_label=False, placeholder="输入新提示后缀", lines=4).style(container=False)
+                    with gr.Column(scale=1, min_width=70):
+                        basic_fn_confirm = gr.Button("确认并保存", variant="primary"); basic_fn_confirm.style(size="sm")
+                        basic_fn_load    = gr.Button("加载已保存", variant="primary"); basic_fn_load.style(size="sm")
+                        def assign_btn(persistent_cookie_, cookies_, basic_btn_dropdown_, basic_fn_title, basic_fn_prefix, basic_fn_suffix):
+                            ret = {}
+                            customize_fn_overwrite_ = cookies_['customize_fn_overwrite']
+                            customize_fn_overwrite_.update({
+                                basic_btn_dropdown_:
+                                    {
+                                        "Title":basic_fn_title,
+                                        "Prefix":basic_fn_prefix,
+                                        "Suffix":basic_fn_suffix,
+                                    }
+                                }
+                            )
+                            cookies_.update(customize_fn_overwrite_)
+                            if basic_btn_dropdown_ in customize_btns:
+                                ret.update({customize_btns[basic_btn_dropdown_]: gr.update(visible=True, value=basic_fn_title)})
+                            else:
+                                ret.update({predefined_btns[basic_btn_dropdown_]: gr.update(visible=True, value=basic_fn_title)})
+                            ret.update({cookies: cookies_})
+                            try: persistent_cookie_ = from_cookie_str(persistent_cookie_)    # persistent cookie to dict
+                            except: persistent_cookie_ = {}
+                            persistent_cookie_["custom_bnt"] = customize_fn_overwrite_   # dict update new value
+                            persistent_cookie_ = to_cookie_str(persistent_cookie_)         # persistent cookie to dict
+                            ret.update({persistent_cookie: persistent_cookie_})                             # write persistent cookie
+                            return ret
+                        
+                        def reflesh_btn(persistent_cookie_, cookies_):
+                            ret = {}
+                            for k in customize_btns:
+                                ret.update({customize_btns[k]: gr.update(visible=False, value="")})
+
+                            try: persistent_cookie_ = from_cookie_str(persistent_cookie_)    # persistent cookie to dict
+                            except: return ret
+                            
+                            customize_fn_overwrite_ = persistent_cookie_.get("custom_bnt", {})
+                            cookies_['customize_fn_overwrite'] = customize_fn_overwrite_
+                            ret.update({cookies: cookies_})
+
+                            for k,v in persistent_cookie_["custom_bnt"].items():
+                                if v['Title'] == "": continue
+                                if k in customize_btns: ret.update({customize_btns[k]: gr.update(visible=True, value=v['Title'])})
+                                else: ret.update({predefined_btns[k]: gr.update(visible=True, value=v['Title'])})
+                            return ret
+                        
+                        basic_fn_load.click(reflesh_btn, [persistent_cookie, cookies],[cookies, *customize_btns.values(), *predefined_btns.values()])
+                        h = basic_fn_confirm.click(assign_btn, [persistent_cookie, cookies, basic_btn_dropdown, basic_fn_title, basic_fn_prefix, basic_fn_suffix], 
+                                                   [persistent_cookie, cookies, *customize_btns.values(), *predefined_btns.values()])
+                        h.then(None, [persistent_cookie], None, _js="""(persistent_cookie)=>{setCookie("persistent_cookie", persistent_cookie, 5);}""") # save persistent cookie
+
         # 功能区显示开关与功能区的互动
         def fn_area_visibility(a):
             ret = {}
             ret.update({area_basic_fn: gr.update(visible=("基础功能区" in a))})
             ret.update({area_crazy_fn: gr.update(visible=("函数插件区" in a))})
-            ret.update({area_input_primary: gr.update(visible=("底部输入区" not in a))})
+            ret.update({area_input_primary: gr.update(visible=("浮动输入区" not in a))})
-            ret.update({area_input_secondary: gr.update(visible=("底部输入区" in a))})
+            ret.update({area_input_secondary: gr.update(visible=("浮动输入区" in a))})
             ret.update({clearBtn: gr.update(visible=("输入清除键" in a))})
             ret.update({clearBtn2: gr.update(visible=("输入清除键" in a))})
             ret.update({plugin_advanced_arg: gr.update(visible=("插件参数区" in a))})
-            if "底部输入区" in a: ret.update({txt: gr.update(value="")})
+            if "浮动输入区" in a: ret.update({txt: gr.update(value="")})
             return ret
         checkboxes.select(fn_area_visibility, [checkboxes], [area_basic_fn, area_crazy_fn, area_input_primary, area_input_secondary, txt, txt2, clearBtn, clearBtn2, plugin_advanced_arg] )
+
+        # 功能区显示开关与功能区的互动
+        def fn_area_visibility_2(a):
+            ret = {}
+            ret.update({area_customize: gr.update(visible=("自定义菜单" in a))})
+            return ret
+        checkboxes_2.select(fn_area_visibility_2, [checkboxes_2], [area_customize] )
+
         # 整理反复出现的控件句柄组合
         input_combo = [cookies, max_length_sl, md_dropdown, txt, txt2, top_p, temperature, chatbot, history, system_prompt, plugin_advanced_arg]
         output_combo = [cookies, chatbot, history, status]
@@ -179,8 +300,12 @@ def main():
             if ("Visible" in functional[k]) and (not functional[k]["Visible"]): continue
             click_handle = functional[k]["Button"].click(fn=ArgsGeneralWrapper(predict), inputs=[*input_combo, gr.State(True), gr.State(k)], outputs=output_combo)
             cancel_handles.append(click_handle)
+        for btn in customize_btns.values():
+            click_handle = btn.click(fn=ArgsGeneralWrapper(predict), inputs=[*input_combo, gr.State(True), gr.State(btn.value)], outputs=output_combo)
+            cancel_handles.append(click_handle)
         # 文件上传区，接收文件后与chatbot的互动
         file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt, txt2, checkboxes, cookies], [chatbot, txt, txt2, cookies])
+        file_upload_2.upload(on_file_uploaded, [file_upload_2, chatbot, txt, txt2, checkboxes, cookies], [chatbot, txt, txt2, cookies])
         # 函数插件-固定按钮区
         for k in plugins:
             if not plugins[k].get("AsButton", True): continue
@@ -190,16 +315,45 @@ def main():
         # 函数插件-下拉菜单与随变按钮的互动
         def on_dropdown_changed(k):
             variant = plugins[k]["Color"] if "Color" in plugins[k] else "secondary"
-            ret = {switchy_bt: gr.update(value=k, variant=variant)}
+            info = plugins[k].get("Info", k)
+            ret = {switchy_bt: gr.update(value=k, variant=variant, info_str=f'函数插件区: {info}')}
             if plugins[k].get("AdvancedArgs", False): # 是否唤起高级插件参数区
                 ret.update({plugin_advanced_arg: gr.update(visible=True,  label=f"插件[{k}]的高级参数说明：" + plugins[k].get("ArgsReminder", [f"没有提供高级参数功能说明"]))})
             else:
                 ret.update({plugin_advanced_arg: gr.update(visible=False, label=f"插件[{k}]不需要高级参数。")})
             return ret
         dropdown.select(on_dropdown_changed, [dropdown], [switchy_bt, plugin_advanced_arg] )
+
         def on_md_dropdown_changed(k):
             return {chatbot: gr.update(label="当前模型："+k)}
         md_dropdown.select(on_md_dropdown_changed, [md_dropdown], [chatbot] )
+
+        def on_theme_dropdown_changed(theme, secret_css):
+            adjust_theme, css_part1, _, adjust_dynamic_theme = load_dynamic_theme(theme)
+            if adjust_dynamic_theme:
+                css_part2 = adjust_dynamic_theme._get_theme_css()
+            else:
+                css_part2 = adjust_theme()._get_theme_css()
+            return css_part2 + css_part1
+        
+        theme_handle = theme_dropdown.select(on_theme_dropdown_changed, [theme_dropdown, secret_css], [secret_css])
+        theme_handle.then(
+            None,
+            [secret_css],
+            None,
+            _js="""(css) => {
+                var existingStyles = document.querySelectorAll("style[data-loaded-css]");
+                for (var i = 0; i < existingStyles.length; i++) {
+                    var style = existingStyles[i];
+                    style.parentNode.removeChild(style);
+                }
+                var styleElement = document.createElement('style');
+                styleElement.setAttribute('data-loaded-css', css);
+                styleElement.innerHTML = css;
+                document.head.appendChild(styleElement);
+            }
+            """
+        )
         # 随变按钮的回调函数注册
         def route(request: gr.Request, k, *args, **kwargs):
             if k in [r"打开插件列表", r"请先从插件列表中选择"]: return
@@ -235,26 +389,47 @@ def main():
             cookies.update({'uuid': uuid.uuid4()})
             return cookies
         demo.load(init_cookie, inputs=[cookies, chatbot], outputs=[cookies])
-        demo.load(lambda: 0, inputs=None, outputs=None, _js='()=>{ChatBotHeight();}')
+        darkmode_js = """(dark) => {
+            dark = dark == "True";
+            if (document.querySelectorAll('.dark').length) {
+                if (!dark){
+                    document.querySelectorAll('.dark').forEach(el => el.classList.remove('dark'));
+                }
+            } else {
+                if (dark){
+                    document.querySelector('body').classList.add('dark');
+                }
+            }
+        }"""
+        load_cookie_js = """(persistent_cookie) => {
+            return getCookie("persistent_cookie");
+        }"""
+        demo.load(None, inputs=None, outputs=[persistent_cookie], _js=load_cookie_js)
+        demo.load(None, inputs=[dark_mode], outputs=None, _js=darkmode_js)    # 配置暗色主题或亮色主题
+        demo.load(None, inputs=[gr.Textbox(LAYOUT, visible=False)], outputs=None, _js='(LAYOUT)=>{GptAcademicJavaScriptInit(LAYOUT);}')
         
     # gradio的inbrowser触发不太稳定，回滚代码到原始的浏览器打开函数
-    def auto_opentab_delay():
+    def run_delayed_tasks():
         import threading, webbrowser, time
         print(f"如果浏览器没有自动打开，请复制并转到以下URL：")
-        print(f"\t（亮色主题）: http://localhost:{PORT}")
+        if DARK_MODE:   print(f"\t「暗色主题已启用（支持动态切换主题）」: http://localhost:{PORT}")
-        print(f"\t（暗色主题）: http://localhost:{PORT}/?__theme=dark")
+        else:           print(f"\t「亮色主题已启用（支持动态切换主题）」: http://localhost:{PORT}")
-        def open():
-            time.sleep(2)       # 打开浏览器
-            DARK_MODE, = get_conf('DARK_MODE')
-            if DARK_MODE: webbrowser.open_new_tab(f"http://localhost:{PORT}/?__theme=dark")
-            else: webbrowser.open_new_tab(f"http://localhost:{PORT}")
-        threading.Thread(target=open, name="open-browser", daemon=True).start()
-        threading.Thread(target=auto_update, name="self-upgrade", daemon=True).start()
-        threading.Thread(target=warm_up_modules, name="warm-up", daemon=True).start()
 
-    auto_opentab_delay()
+        def auto_updates(): time.sleep(0); auto_update()
+        def open_browser(): time.sleep(2); webbrowser.open_new_tab(f"http://localhost:{PORT}")
+        def warm_up_mods(): time.sleep(4); warm_up_modules()
+        
+        threading.Thread(target=auto_updates, name="self-upgrade", daemon=True).start() # 查看自动更新
+        threading.Thread(target=open_browser, name="open-browser", daemon=True).start() # 打开浏览器页面
+        threading.Thread(target=warm_up_mods, name="warm-up", daemon=True).start()      # 预热tiktoken模块
+
+    run_delayed_tasks()
     demo.queue(concurrency_count=CONCURRENT_COUNT).launch(
+        quiet=True,
         server_name="0.0.0.0", 
+        ssl_keyfile=None if SSL_KEYFILE == "" else SSL_KEYFILE,
+        ssl_certfile=None if SSL_CERTFILE == "" else SSL_CERTFILE,
+        ssl_verify=False,
         server_port=PORT,
         favicon_path="docs/logo.png", 
         auth=AUTHENTICATION if len(AUTHENTICATION) != 0 else None,

request_llm/bridge_all.py

@@ -52,6 +52,7 @@ API_URL_REDIRECT, AZURE_ENDPOINT, AZURE_ENGINE = get_conf("API_URL_REDIRECT", "A
 openai_endpoint = "https://api.openai.com/v1/chat/completions"
 api2d_endpoint = "https://openai.api2d.net/v1/chat/completions"
 newbing_endpoint = "wss://sydney.bing.com/sydney/ChatHub"
+if not AZURE_ENDPOINT.endswith('/'): AZURE_ENDPOINT += '/'
 azure_endpoint = AZURE_ENDPOINT + f'openai/deployments/{AZURE_ENGINE}/chat/completions?api-version=2023-05-15'
 # 兼容旧版的配置
 try:
@@ -125,6 +126,24 @@ model_info = {
         "token_cnt": get_token_num_gpt4,
     },
 
+    "gpt-4-32k": {
+        "fn_with_ui": chatgpt_ui,
+        "fn_without_ui": chatgpt_noui,
+        "endpoint": openai_endpoint,
+        "max_token": 32768,
+        "tokenizer": tokenizer_gpt4,
+        "token_cnt": get_token_num_gpt4,
+    },
+
+    "gpt-3.5-random": {
+        "fn_with_ui": chatgpt_ui,
+        "fn_without_ui": chatgpt_noui,
+        "endpoint": openai_endpoint,
+        "max_token": 4096,
+        "tokenizer": tokenizer_gpt4,
+        "token_cnt": get_token_num_gpt4,
+    },
+    
     # azure openai
     "azure-gpt-3.5":{
         "fn_with_ui": chatgpt_ui,
@@ -135,6 +154,15 @@ model_info = {
         "token_cnt": get_token_num_gpt35,
     },
 
+    "azure-gpt-4":{
+        "fn_with_ui": chatgpt_ui,
+        "fn_without_ui": chatgpt_noui,
+        "endpoint": azure_endpoint,
+        "max_token": 8192,
+        "tokenizer": tokenizer_gpt35,
+        "token_cnt": get_token_num_gpt35,
+    },
+
     # api_2d
     "api2d-gpt-3.5-turbo": {
         "fn_with_ui": chatgpt_ui,

request_llm/bridge_chatglm.py

@@ -3,7 +3,7 @@ from transformers import AutoModel, AutoTokenizer
 import time
 import threading
 import importlib
-from toolbox import update_ui, get_conf
+from toolbox import update_ui, get_conf, ProxyNetworkActivate
 from multiprocessing import Process, Pipe
 
 load_message = "ChatGLM尚未加载，加载需要一段时间。注意，取决于`config.py`的配置，ChatGLM消耗大量的内存（CPU）或显存（GPU），也许会导致低配计算机卡死 ……"
@@ -48,16 +48,17 @@ class GetGLMHandle(Process):
 
         while True:
             try:
-                if self.chatglm_model is None:
+                with ProxyNetworkActivate('Download_LLM'):
-                    self.chatglm_tokenizer = AutoTokenizer.from_pretrained(_model_name_, trust_remote_code=True)
+                    if self.chatglm_model is None:
-                    if device=='cpu':
+                        self.chatglm_tokenizer = AutoTokenizer.from_pretrained(_model_name_, trust_remote_code=True)
-                        self.chatglm_model = AutoModel.from_pretrained(_model_name_, trust_remote_code=True).float()
+                        if device=='cpu':
+                            self.chatglm_model = AutoModel.from_pretrained(_model_name_, trust_remote_code=True).float()
+                        else:
+                            self.chatglm_model = AutoModel.from_pretrained(_model_name_, trust_remote_code=True).half().cuda()
+                        self.chatglm_model = self.chatglm_model.eval()
+                        break
                     else:
-                        self.chatglm_model = AutoModel.from_pretrained(_model_name_, trust_remote_code=True).half().cuda()
+                        break
-                    self.chatglm_model = self.chatglm_model.eval()
-                    break
-                else:
-                    break
             except:
                 retry += 1
                 if retry > 3: 

request_llm/bridge_chatgpt.py

@@ -18,6 +18,7 @@ import logging
 import traceback
 import requests
 import importlib
+import random
 
 # config_private.py放自己的秘密如API和代理网址
 # 读取时首先看是否存在私密的config_private配置文件（不受git管控），如果有，则覆盖原config文件
@@ -39,6 +40,21 @@ def get_full_error(chunk, stream_response):
             break
     return chunk
 
+def decode_chunk(chunk):
+    # 提前读取一些信息 （用于判断异常）
+    chunk_decoded = chunk.decode()
+    chunkjson = None
+    has_choices = False
+    has_content = False
+    has_role = False
+    try: 
+        chunkjson = json.loads(chunk_decoded[6:])
+        has_choices = 'choices' in chunkjson
+        if has_choices: has_content = "content" in chunkjson['choices'][0]["delta"]
+        if has_choices: has_role = "role" in chunkjson['choices'][0]["delta"]
+    except: 
+        pass
+    return chunk_decoded, chunkjson, has_choices, has_content, has_role
 
 def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False):
     """
@@ -191,7 +207,9 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
                 yield from update_ui(chatbot=chatbot, history=history, msg="非OpenAI官方接口返回了错误:" + chunk.decode()) # 刷新界面
                 return
             
-            chunk_decoded = chunk.decode()
+            # 提前读取一些信息 （用于判断异常）
+            chunk_decoded, chunkjson, has_choices, has_content, has_role = decode_chunk(chunk)
+
             if is_head_of_the_stream and (r'"object":"error"' not in chunk_decoded) and (r"content" not in chunk_decoded):
                 # 数据流的第一帧不携带content
                 is_head_of_the_stream = False; continue
@@ -199,15 +217,23 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
             if chunk:
                 try:
                     # 前者是API2D的结束条件，后者是OPENAI的结束条件
-                    if ('data: [DONE]' in chunk_decoded) or (len(json.loads(chunk_decoded[6:])['choices'][0]["delta"]) == 0):
+                    if ('data: [DONE]' in chunk_decoded) or (len(chunkjson['choices'][0]["delta"]) == 0):
                         # 判定为数据流的结束，gpt_replying_buffer也写完了
                         logging.info(f'[response] {gpt_replying_buffer}')
                         break
                     # 处理数据流的主体
-                    chunkjson = json.loads(chunk_decoded[6:])
                     status_text = f"finish_reason: {chunkjson['choices'][0].get('finish_reason', 'null')}"
                     # 如果这里抛出异常，一般是文本过长，详情见get_full_error的输出
-                    gpt_replying_buffer = gpt_replying_buffer + chunkjson['choices'][0]["delta"]["content"]
+                    if has_content:
+                        # 正常情况
+                        gpt_replying_buffer = gpt_replying_buffer + chunkjson['choices'][0]["delta"]["content"]
+                    elif has_role:
+                        # 一些第三方接口的出现这样的错误，兼容一下吧
+                        continue
+                    else:
+                        # 一些垃圾第三方接口的出现这样的错误
+                        gpt_replying_buffer = gpt_replying_buffer + chunkjson['choices'][0]["delta"]["content"]
+
                     history[-1] = gpt_replying_buffer
                     chatbot[-1] = (history[-2], history[-1])
                     yield from update_ui(chatbot=chatbot, history=history, msg=status_text) # 刷新界面
@@ -288,9 +314,19 @@ def generate_payload(inputs, llm_kwargs, history, system_prompt, stream):
     what_i_ask_now["role"] = "user"
     what_i_ask_now["content"] = inputs
     messages.append(what_i_ask_now)
+    model = llm_kwargs['llm_model'].strip('api2d-')
+    if model == "gpt-3.5-random": # 随机选择, 绕过openai访问频率限制
+        model = random.choice([
+            "gpt-3.5-turbo", 
+            "gpt-3.5-turbo-16k",
+            "gpt-3.5-turbo-0613",
+            "gpt-3.5-turbo-16k-0613",
+            "gpt-3.5-turbo-0301",
+        ])
+        logging.info("Random select model:" + model)
 
     payload = {
-        "model": llm_kwargs['llm_model'].strip('api2d-'),
+        "model": model,
         "messages": messages, 
         "temperature": llm_kwargs['temperature'],  # 1.0,
         "top_p": llm_kwargs['top_p'],  # 1.0,

request_llm/bridge_llama2.py

@@ -30,7 +30,7 @@ class GetONNXGLMHandle(LocalLLMHandle):
         with open(os.path.expanduser('~/.cache/huggingface/token'), 'w') as f:
             f.write(huggingface_token)
         model_id = 'meta-llama/Llama-2-7b-chat-hf'
-        with ProxyNetworkActivate():
+        with ProxyNetworkActivate('Download_LLM'):
             self._tokenizer = AutoTokenizer.from_pretrained(model_id, use_auth_token=huggingface_token)
             # use fp16
             model = AutoModelForCausalLM.from_pretrained(model_id, use_auth_token=huggingface_token).eval()

request_llm/requirements_chatglm.txt

@@ -1,5 +1,4 @@
 protobuf
-transformers>=4.27.1
 cpm_kernels
 torch>=1.10
 mdtex2html

request_llm/requirements_chatglm_onnx.txt

@@ -1,5 +1,4 @@
 protobuf
-transformers>=4.27.1
 cpm_kernels
 torch>=1.10
 mdtex2html

request_llm/requirements_jittorllms.txt

@@ -2,6 +2,5 @@ jittor >= 1.3.7.9
 jtorch >= 0.1.3
 torch
 torchvision
-transformers==4.26.1
 pandas
 jieba

request_llm/requirements_moss.txt

@@ -1,5 +1,4 @@
 torch
-transformers==4.25.1
 sentencepiece
 datasets
 accelerate

requirements.txt

@@ -1,8 +1,8 @@
-./docs/gradio-3.32.2-py3-none-any.whl
+./docs/gradio-3.32.6-py3-none-any.whl
 pydantic==1.10.11
 tiktoken>=0.3.3
 requests[socks]
-transformers
+transformers>=4.27.1
 python-markdown-math
 beautifulsoup4
 prompt_toolkit

tests/test_plugins.py

@@ -6,11 +6,16 @@
 import os, sys
 def validate_path(): dir_name = os.path.dirname(__file__); root_dir_assume = os.path.abspath(dir_name +  '/..'); os.chdir(root_dir_assume); sys.path.append(root_dir_assume)
 validate_path() # 返回项目根路径
-from tests.test_utils import plugin_test
 
 if __name__ == "__main__":
+    from tests.test_utils import plugin_test
+    # plugin_test(plugin='crazy_functions.函数动态生成->函数动态生成', main_input='交换图像的蓝色通道和红色通道', advanced_arg={"file_path_arg": "./build/ants.jpg"})
+
+    plugin_test(plugin='crazy_functions.Latex输出PDF结果->Latex翻译中文并重新编译PDF', main_input="2307.07522")
+
     # plugin_test(plugin='crazy_functions.虚空终端->虚空终端', main_input='修改api-key为sk-jhoejriotherjep')
-    plugin_test(plugin='crazy_functions.批量翻译PDF文档_NOUGAT->批量翻译PDF文档', main_input='crazy_functions/test_project/pdf_and_word/aaai.pdf')
+
+    # plugin_test(plugin='crazy_functions.批量翻译PDF文档_NOUGAT->批量翻译PDF文档', main_input='crazy_functions/test_project/pdf_and_word/aaai.pdf')
 
     # plugin_test(plugin='crazy_functions.虚空终端->虚空终端', main_input='调用插件，对C:/Users/fuqingxu/Desktop/旧文件/gpt/chatgpt_academic/crazy_functions/latex_fns中的python文件进行解析')
 

tests/test_utils.py

@@ -74,7 +74,7 @@ def plugin_test(main_input, plugin, advanced_arg=None):
         plugin_kwargs['plugin_kwargs'] = advanced_arg
     my_working_plugin = silence_stdout(plugin)(**plugin_kwargs)
 
-    with Live(Markdown(""), auto_refresh=False) as live:
+    with Live(Markdown(""), auto_refresh=False, vertical_overflow="visible") as live:
         for cookies, chat, hist, msg in my_working_plugin:
             md_str = vt.chat_to_markdown_str(chat)
             md = Markdown(md_str)

themes/common.css

@@ -9,6 +9,11 @@
     box-shadow: none;
 }
 
+#input-plugin-group .secondary-wrap.svelte-aqlk7e.svelte-aqlk7e.svelte-aqlk7e {
+    border: none;
+    min-width: 0;
+}
+
 /* hide selector label */
 #input-plugin-group .svelte-1gfkn6j {
     visibility: hidden;
@@ -24,3 +29,86 @@
 .min.svelte-1yrv54 {
     min-height: var(--size-12);
 }
+
+/* copy btn */
+.message-btn-row {
+    width: 19px;
+    height: 19px;
+    position: absolute;
+    left: calc(100% + 3px);
+    top: 0;
+    display: flex;
+    justify-content: space-between;
+}
+/* .message-btn-row-leading, .message-btn-row-trailing {
+    display: inline-flex;
+    gap: 4px;
+} */
+.message-btn-row button {
+    font-size: 18px;
+    align-self: center;
+    align-items: center;
+    flex-wrap: nowrap;
+    white-space: nowrap;
+    display: inline-flex;
+    flex-direction: row;
+    gap: 4px;
+    padding-block: 2px !important;
+}
+
+
+/* Scrollbar Width */
+::-webkit-scrollbar {
+    width: 12px;
+}
+
+/* Scrollbar Track */
+::-webkit-scrollbar-track {
+    background: #f1f1f1;
+    border-radius: 12px;
+}
+
+/* Scrollbar Handle */
+::-webkit-scrollbar-thumb {
+    background: #888;
+    border-radius: 12px;
+}
+
+/* Scrollbar Handle on hover */
+::-webkit-scrollbar-thumb:hover {
+    background: #555;
+}
+
+/* input btns: clear, reset, stop */
+#input-panel button {
+    min-width: min(80px, 100%);
+}
+
+/* input btns: clear, reset, stop */
+#input-panel2 button {
+    min-width: min(80px, 100%);
+}
+
+
+#cbs {
+    background-color: var(--block-background-fill) !important;
+}
+
+#interact-panel .form {
+    border: hidden
+}
+
+.drag-area {
+    border: solid;
+    border-width: thin;
+    user-select: none;
+    padding-left: 2%;
+}
+
+.floating-component #input-panel2 {
+    border-top-left-radius: 0px;
+    border-top-right-radius: 0px;
+    border: solid;
+    border-width: thin;
+    border-top-width: 0;
+}

themes/common.js

@@ -1,4 +1,105 @@
-function ChatBotHeight() {
+function gradioApp() {
+    // https://github.com/GaiZhenbiao/ChuanhuChatGPT/tree/main/web_assets/javascript
+    const elems = document.getElementsByTagName('gradio-app');
+    const elem = elems.length == 0 ? document : elems[0];
+    if (elem !== document) {
+        elem.getElementById = function(id) {
+            return document.getElementById(id);
+        };
+    }
+    return elem.shadowRoot ? elem.shadowRoot : elem;
+}
+
+function setCookie(name, value, days) {
+    var expires = "";
+  
+    if (days) {
+      var date = new Date();
+      date.setTime(date.getTime() + (days * 24 * 60 * 60 * 1000));
+      expires = "; expires=" + date.toUTCString();
+    }
+  
+    document.cookie = name + "=" + value + expires + "; path=/";
+}
+
+function getCookie(name) {
+    var decodedCookie = decodeURIComponent(document.cookie);
+    var cookies = decodedCookie.split(';');
+  
+    for (var i = 0; i < cookies.length; i++) {
+      var cookie = cookies[i].trim();
+  
+      if (cookie.indexOf(name + "=") === 0) {
+        return cookie.substring(name.length + 1, cookie.length);
+      }
+    }
+  
+    return null;
+  }
+  
+function addCopyButton(botElement) {
+    // https://github.com/GaiZhenbiao/ChuanhuChatGPT/tree/main/web_assets/javascript
+    // Copy bot button
+    const copiedIcon = '<span><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" height=".8em" width=".8em" xmlns="http://www.w3.org/2000/svg"><polyline points="20 6 9 17 4 12"></polyline></svg></span>';
+    const copyIcon = '<span><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" height=".8em" width=".8em" xmlns="http://www.w3.org/2000/svg"><rect x="9" y="9" width="13" height="13" rx="2" ry="2"></rect><path d="M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1"></path></svg></span>';
+
+    const messageBtnColumnElement = botElement.querySelector('.message-btn-row');
+    if (messageBtnColumnElement) {
+        // Do something if .message-btn-column exists, for example, remove it
+        // messageBtnColumnElement.remove();
+        return;
+    }
+    
+    var copyButton = document.createElement('button');
+    copyButton.classList.add('copy-bot-btn');
+    copyButton.setAttribute('aria-label', 'Copy');
+    copyButton.innerHTML = copyIcon;
+    copyButton.addEventListener('click', async () => {
+        const textToCopy = botElement.innerText;
+        try {
+            if ("clipboard" in navigator) {
+                await navigator.clipboard.writeText(textToCopy);
+                copyButton.innerHTML = copiedIcon;
+                setTimeout(() => {
+                    copyButton.innerHTML = copyIcon;
+                }, 1500);
+            } else {
+                const textArea = document.createElement("textarea");
+                textArea.value = textToCopy;
+                document.body.appendChild(textArea);
+                textArea.select();
+                try {
+                    document.execCommand('copy');
+                    copyButton.innerHTML = copiedIcon;
+                    setTimeout(() => {
+                        copyButton.innerHTML = copyIcon;
+                    }, 1500);
+                } catch (error) {
+                    console.error("Copy failed: ", error);
+                }
+                document.body.removeChild(textArea);
+            }
+        } catch (error) {
+            console.error("Copy failed: ", error);
+        }
+    });
+    var messageBtnColumn = document.createElement('div');
+    messageBtnColumn.classList.add('message-btn-row');
+    messageBtnColumn.appendChild(copyButton);
+    botElement.appendChild(messageBtnColumn);
+}
+
+function chatbotContentChanged(attempt = 1, force = false) {
+    // https://github.com/GaiZhenbiao/ChuanhuChatGPT/tree/main/web_assets/javascript
+    for (var i = 0; i < attempt; i++) {
+        setTimeout(() => {
+            gradioApp().querySelectorAll('#gpt-chatbot .message-wrap .message.bot').forEach(addCopyButton);
+        }, i === 0 ? 0 : 200);
+    }
+}
+
+function chatbotAutoHeight(){
+    // 自动调整高度
     function update_height(){
         var { panel_height_target, chatbot_height, chatbot } = get_elements(true);
         if (panel_height_target!=chatbot_height)
@@ -28,6 +129,15 @@ function ChatBotHeight() {
     }, 50); // 每100毫秒执行一次
 }
 
+function GptAcademicJavaScriptInit(LAYOUT = "LEFT-RIGHT") {
+    chatbotIndicator = gradioApp().querySelector('#gpt-chatbot > div.wrap');
+    var chatbotObserver = new MutationObserver(() => {
+        chatbotContentChanged(1);
+    });
+    chatbotObserver.observe(chatbotIndicator, { attributes: true, childList: true, subtree: true });
+    if (LAYOUT === "LEFT-RIGHT") {chatbotAutoHeight();}
+}
+
 function get_elements(consider_state_panel=false) {
     var chatbot = document.querySelector('#gpt-chatbot > div.wrap.svelte-18telvq');
     if (!chatbot) {
@@ -36,14 +146,14 @@ function get_elements(consider_state_panel=false) {
     const panel1 = document.querySelector('#input-panel').getBoundingClientRect();
     const panel2 = document.querySelector('#basic-panel').getBoundingClientRect()
     const panel3 = document.querySelector('#plugin-panel').getBoundingClientRect();
-    const panel4 = document.querySelector('#interact-panel').getBoundingClientRect();
+    // const panel4 = document.querySelector('#interact-panel').getBoundingClientRect();
     const panel5 = document.querySelector('#input-panel2').getBoundingClientRect();
     const panel_active = document.querySelector('#state-panel').getBoundingClientRect();
     if (consider_state_panel || panel_active.height < 25){
         document.state_panel_height = panel_active.height;
     }
     // 25 是chatbot的label高度, 16 是右侧的gap
-    var panel_height_target = panel1.height + panel2.height + panel3.height + panel4.height + panel5.height - 25 + 16*3;
+    var panel_height_target = panel1.height + panel2.height + panel3.height + 0 + 0 - 25 + 16*2;
     // 禁止动态的state-panel高度影响
     panel_height_target = panel_height_target + (document.state_panel_height-panel_active.height)
     var panel_height_target = parseInt(panel_height_target);

themes/contrast.css

@@ -198,7 +198,7 @@
 }
 
 /* 小按钮 */
-.sm.svelte-1ipelgc {
+.sm {
     font-family: "Microsoft YaHei UI", "Helvetica", "Microsoft YaHei", "ui-sans-serif", "sans-serif", "system-ui";
     --button-small-text-weight: 600;
     --button-small-text-size:   16px;
@@ -208,7 +208,7 @@
     border-top-left-radius:     0px;
 }
 
-#plugin-panel .sm.svelte-1ipelgc {
+#plugin-panel .sm {
     font-family: "Microsoft YaHei UI", "Helvetica", "Microsoft YaHei", "ui-sans-serif", "sans-serif", "system-ui";
     --button-small-text-weight: 400;
     --button-small-text-size:   14px;

themes/contrast.py

@@ -57,11 +57,8 @@ def adjust_theme():
             button_cancel_text_color_dark="white",
         )
 
-        if LAYOUT=="TOP-DOWN": 
+        with open('themes/common.js', 'r', encoding='utf8') as f: 
-            js = ""
+            js = f"<script>{f.read()}</script>"
-        else:
-            with open('themes/common.js', 'r', encoding='utf8') as f: 
-                js = f"<script>{f.read()}</script>"
         
         # 添加一个萌萌的看板娘
         if ADD_WAIFU:

themes/default.css

@@ -9,15 +9,15 @@
     border-radius: 4px;
 }
 
-#plugin-panel .dropdown-arrow.svelte-p5edak {
+#plugin-panel .dropdown-arrow {
-    width: 50px;
+    width: 25px;
 }
 #plugin-panel input.svelte-aqlk7e.svelte-aqlk7e.svelte-aqlk7e {
     padding-left: 5px;
 }
 
 /* 小按钮 */
-.sm.svelte-1ipelgc {
+#basic-panel .sm {
     font-family: "Microsoft YaHei UI", "Helvetica", "Microsoft YaHei", "ui-sans-serif", "sans-serif", "system-ui";
     --button-small-text-weight: 600;
     --button-small-text-size:   16px;
@@ -27,7 +27,7 @@
     border-top-left-radius:     6px;
 }
 
-#plugin-panel .sm.svelte-1ipelgc {
+#plugin-panel .sm {
     font-family: "Microsoft YaHei UI", "Helvetica", "Microsoft YaHei", "ui-sans-serif", "sans-serif", "system-ui";
     --button-small-text-weight: 400;
     --button-small-text-size:   14px;

themes/default.py

@@ -57,11 +57,8 @@ def adjust_theme():
             button_cancel_text_color_dark="white",
         )
 
-        if LAYOUT=="TOP-DOWN": 
+        with open('themes/common.js', 'r', encoding='utf8') as f: 
-            js = ""
+            js = f"<script>{f.read()}</script>"
-        else:
-            with open('themes/common.js', 'r', encoding='utf8') as f: 
-                js = f"<script>{f.read()}</script>"
             
         # 添加一个萌萌的看板娘
         if ADD_WAIFU:

themes/gradios.py

@@ -3,22 +3,28 @@ import logging
 from toolbox import get_conf, ProxyNetworkActivate
 CODE_HIGHLIGHT, ADD_WAIFU, LAYOUT = get_conf('CODE_HIGHLIGHT', 'ADD_WAIFU', 'LAYOUT')
 
+def dynamic_set_theme(THEME):
+    set_theme = gr.themes.ThemeClass()
+    with ProxyNetworkActivate('Download_Gradio_Theme'):
+        logging.info('正在下载Gradio主题，请稍等。')
+        if THEME.startswith('Huggingface-'): THEME = THEME.lstrip('Huggingface-')
+        if THEME.startswith('huggingface-'): THEME = THEME.lstrip('huggingface-')
+        set_theme = set_theme.from_hub(THEME.lower())
+    return set_theme
+
 def adjust_theme():
 
     try:
         set_theme = gr.themes.ThemeClass()
-        with ProxyNetworkActivate():
+        with ProxyNetworkActivate('Download_Gradio_Theme'):
             logging.info('正在下载Gradio主题，请稍等。')
             THEME, = get_conf('THEME')
             if THEME.startswith('Huggingface-'): THEME = THEME.lstrip('Huggingface-')
             if THEME.startswith('huggingface-'): THEME = THEME.lstrip('huggingface-')
             set_theme = set_theme.from_hub(THEME.lower())
 
-        if LAYOUT=="TOP-DOWN": 
+        with open('themes/common.js', 'r', encoding='utf8') as f: 
-            js = ""
+            js = f"<script>{f.read()}</script>"
-        else:
-            with open('themes/common.js', 'r', encoding='utf8') as f: 
-                js = f"<script>{f.read()}</script>"
 
         # 添加一个萌萌的看板娘
         if ADD_WAIFU:

themes/green.py

@@ -73,12 +73,8 @@ def adjust_theme():
             chatbot_code_background_color_dark="*neutral_950",
         )
 
-        js = ''
+        with open('themes/common.js', 'r', encoding='utf8') as f: 
-        if LAYOUT=="TOP-DOWN":
+            js = f"<script>{f.read()}</script>"
-            js = ""
-        else:
-            with open('themes/common.js', 'r', encoding='utf8') as f:
-                js = f"<script>{f.read()}</script>"
 
         # 添加一个萌萌的看板娘
         if ADD_WAIFU:

themes/theme.py

@@ -2,17 +2,22 @@ import gradio as gr
 from toolbox import get_conf
 THEME, = get_conf('THEME')
 
-if THEME == 'Chuanhu-Small-and-Beautiful':
+def load_dynamic_theme(THEME):
-    from .green import adjust_theme, advanced_css
+    adjust_dynamic_theme = None
-    theme_declaration = "<h2 align=\"center\"  class=\"small\">[Chuanhu-Small-and-Beautiful主题]</h2>"
+    if THEME == 'Chuanhu-Small-and-Beautiful':
-elif THEME == 'High-Contrast':
+        from .green import adjust_theme, advanced_css
-    from .contrast import adjust_theme, advanced_css
+        theme_declaration = "<h2 align=\"center\"  class=\"small\">[Chuanhu-Small-and-Beautiful主题]</h2>"
-    theme_declaration = ""
+    elif THEME == 'High-Contrast':
-elif '/' in THEME:
+        from .contrast import adjust_theme, advanced_css
-    from .gradios import adjust_theme, advanced_css
+        theme_declaration = ""
-    theme_declaration = ""
+    elif '/' in THEME:
-else:
+        from .gradios import adjust_theme, advanced_css
-    from .default import adjust_theme, advanced_css
+        from .gradios import dynamic_set_theme
-    theme_declaration = ""
+        adjust_dynamic_theme = dynamic_set_theme(THEME)
-
+        theme_declaration = ""
+    else:
+        from .default import adjust_theme, advanced_css
+        theme_declaration = ""
+    return adjust_theme, advanced_css, theme_declaration, adjust_dynamic_theme
 
+adjust_theme, advanced_css, theme_declaration, _ = load_dynamic_theme(THEME)

toolbox.py

@@ -472,7 +472,7 @@ def extract_archive(file_path, dest_dir):
                 print("Successfully extracted rar archive to {}".format(dest_dir))
         except:
             print("Rar format requires additional dependencies to install")
-            return '\n\n解压失败! 需要安装pip install rarfile来解压rar文件'
+            return '\n\n解压失败! 需要安装pip install rarfile来解压rar文件。建议：使用zip压缩格式。'
 
     # 第三方库，需要预先pip install py7zr
     elif file_extension == '.7z':
@@ -523,10 +523,11 @@ def promote_file_to_downloadzone(file, rename_file=None, chatbot=None):
     # 把文件复制过去
     if not os.path.exists(new_path): shutil.copyfile(file, new_path)
     # 将文件添加到chatbot cookie中，避免多用户干扰
-    if chatbot:
+    if chatbot is not None:
         if 'files_to_promote' in chatbot._cookies: current = chatbot._cookies['files_to_promote']
         else: current = []
         chatbot._cookies.update({'files_to_promote': [new_path] + current})
+    return new_path
 
 def disable_auto_promotion(chatbot):
     chatbot._cookies.update({'files_to_promote': []})
@@ -580,7 +581,7 @@ def on_file_uploaded(request: gradio.Request, files, chatbot, txt, txt2, checkbo
     
     # 整理文件集合
     moved_files = [fp for fp in glob.glob(f'{target_path_base}/**/*', recursive=True)]
-    if "底部输入区" in checkboxes: 
+    if "浮动输入区" in checkboxes: 
         txt, txt2 = "", target_path_base
     else:
         txt, txt2 = target_path_base, ""
@@ -620,10 +621,20 @@ def on_report_generated(cookies, files, chatbot):
 
 def load_chat_cookies():
     API_KEY, LLM_MODEL, AZURE_API_KEY = get_conf('API_KEY', 'LLM_MODEL', 'AZURE_API_KEY')
+    DARK_MODE, NUM_CUSTOM_BASIC_BTN = get_conf('DARK_MODE', 'NUM_CUSTOM_BASIC_BTN')
     if is_any_api_key(AZURE_API_KEY):
         if is_any_api_key(API_KEY): API_KEY = API_KEY + ',' + AZURE_API_KEY
         else: API_KEY = AZURE_API_KEY
-    return {'api_key': API_KEY, 'llm_model': LLM_MODEL}
+    customize_fn_overwrite_ = {}
+    for k in range(NUM_CUSTOM_BASIC_BTN):
+        customize_fn_overwrite_.update({  
+            "自定义按钮" + str(k+1):{
+                "Title":    r"",
+                "Prefix":   r"请在自定义菜单中定义提示词前缀.",
+                "Suffix":   r"请在自定义菜单中定义提示词后缀",
+            }
+        })
+    return {'api_key': API_KEY, 'llm_model': LLM_MODEL, 'customize_fn_overwrite': customize_fn_overwrite_}
 
 def is_openai_api_key(key):
     CUSTOM_API_KEY_PATTERN, = get_conf('CUSTOM_API_KEY_PATTERN')
@@ -955,7 +966,19 @@ class ProxyNetworkActivate():
     """
     这段代码定义了一个名为TempProxy的空上下文管理器, 用于给一小段代码上代理
     """
+    def __init__(self, task=None) -> None:
+        self.task = task
+        if not task:
+            # 不给定task, 那么我们默认代理生效
+            self.valid = True
+        else:
+            # 给定了task, 我们检查一下
+            from toolbox import get_conf
+            WHEN_TO_USE_PROXY, = get_conf('WHEN_TO_USE_PROXY')
+            self.valid = (task in WHEN_TO_USE_PROXY)
+
     def __enter__(self):
+        if not self.valid: return self
         from toolbox import get_conf
         proxies, = get_conf('proxies')
         if 'no_proxy' in os.environ: os.environ.pop('no_proxy')

version

@@ -1,5 +1,5 @@
 {
-  "version": 3.53,
+  "version": 3.55,
   "show_feature": true,
-  "new_feature": "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": "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"
 }