Upload 49 files

check_proxy.py

@@ -6,8 +6,11 @@ def check_proxy(proxies):
         response = requests.get("https://ipapi.co/json/", proxies=proxies, timeout=4)
         data = response.json()
         print(f'查询代理的地理位置，返回的结果是{data}')
-        country = data['country_name']
-        result = f"代理配置 {proxies_https}, 代理所在地：{country}"
+        if 'country_name' in data:
+            country = data['country_name']
+            result = f"代理配置 {proxies_https}, 代理所在地：{country}"
+        elif 'error' in data:
+            result = f"代理配置 {proxies_https}, 代理所在地：未知，IP查询频率受限"
         print(result)
         return result
     except:
@@ -17,6 +20,7 @@ def check_proxy(proxies):
 
 
 if __name__ == '__main__':
+    import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
     try: from config_private import proxies # 放自己的秘密如API和代理网址 os.path.exists('config_private.py')
     except: from config import proxies
     check_proxy(proxies)

config.py

@@ -1,11 +1,19 @@
 import os
 
-API_KEY = os.environ.get('GPT_KEY')
+# API_KEY = "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" 此key无效
+API_KEY = os.environ.get('API_KEY')
 API_URL = "https://api.openai.com/v1/chat/completions"
 
 # 改为True应用代理
 USE_PROXY = False
 if USE_PROXY:
+
+    # 填写格式是 [协议]://  [地址] :[端口] ，
+    # 例如    "socks5h://localhost:11284"
+    # [协议] 常见协议无非socks5h/http，例如 v2*** 和 s** 的默认本地协议是socks5h，cl**h 的默认本地协议是http
+    # [地址] 懂的都懂，不懂就填localhost或者127.0.0.1肯定错不了（localhost意思是代理软件安装在本机上）
+    # [端口] 在代理软件的设置里，不同的代理软件界面不一样，但端口号都应该在最显眼的位置上
+
     # 代理网络的地址，打开你的科学上网软件查看代理的协议(socks5/http)、地址(localhost)和端口(11284)
     proxies = { "http": "socks5h://localhost:11284", "https": "socks5h://localhost:11284", }
     print('网络代理状态：运行。')
@@ -14,7 +22,7 @@ else:
     print('网络代理状态：未配置。无代理状态下很可能无法访问。')
 
 # 发送请求到OpenAI后，等待多久判定为超时
-TIMEOUT_SECONDS = 20
+TIMEOUT_SECONDS = 25
 
 # 网页的端口, -1代表随机端口
 WEB_PORT = -1
@@ -25,12 +33,13 @@ MAX_RETRY = 2
 # 选择的OpenAI模型是（gpt4现在只对申请成功的人开放）
 LLM_MODEL = "gpt-3.5-turbo"
 
-# 检查一下是不是忘了改config
-if len(API_KEY) != 51:  # 正确的密钥是51位
-    assert False, "请在config文件中修改API密钥, 添加海外代理之后再运行"
-
 # 设置并行使用的线程数
 CONCURRENT_COUNT = 100
 
 # 设置用户名和密码
-AUTHENTICATION = [] # [("username", "password"), ("username2", "password2"), ...]
+AUTHENTICATION = [] # [("username", "password"), ("username2", "password2"), ...]
+
+# 检查一下是不是忘了改config
+if len(API_KEY) != 51:
+    assert False, "正确的API_KEY密钥是51位，请在config文件中修改API密钥, 添加海外代理之后再运行。" + \
+                  "（如果您刚更新过代码，请确保旧版config_private文件中没有遗留任何新增键值）"

crazy_functions/批量总结PDF文档.py

@@ -0,0 +1,99 @@
+from predict import predict_no_ui
+from toolbox import CatchException, report_execption, write_results_to_file, predict_no_ui_but_counting_down
+fast_debug = False
+
+
+def 解析PDF(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt):
+    import time, glob, os, fitz
+    print('begin analysis on:', file_manifest)
+    for index, fp in enumerate(file_manifest):
+        with fitz.open(fp) as doc:
+            file_content = ""
+            for page in doc:
+                file_content += page.get_text()
+            print(file_content)
+
+        prefix = "接下来请你逐文件分析下面的论文文件，概括其内容" if index==0 else ""
+        i_say = prefix + f'请对下面的文章片段用中文做一个概述，文件名是{os.path.relpath(fp, project_folder)}，文章内容是 ```{file_content}```'
+        i_say_show_user = prefix + f'[{index}/{len(file_manifest)}] 请对下面的文章片段做一个概述: {os.path.abspath(fp)}'
+        chatbot.append((i_say_show_user, "[Local Message] waiting gpt response."))
+        print('[1] yield chatbot, history')
+        yield chatbot, history, '正常'
+
+        if not fast_debug: 
+            msg = '正常'
+            # ** gpt request **
+            gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[])   # 带超时倒计时
+
+            print('[2] end gpt req')
+            chatbot[-1] = (i_say_show_user, gpt_say)
+            history.append(i_say_show_user); history.append(gpt_say)
+            print('[3] yield chatbot, history')
+            yield chatbot, history, msg
+            print('[4] next')
+            if not fast_debug: time.sleep(2)
+
+    all_file = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(file_manifest)])
+    i_say = f'根据以上你自己的分析，对全文进行概括，用学术性语言写一段中文摘要，然后再写一段英文摘要（包括{all_file}）。'
+    chatbot.append((i_say, "[Local Message] waiting gpt response."))
+    yield chatbot, history, '正常'
+
+    if not fast_debug: 
+        msg = '正常'
+        # ** gpt request **
+        gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say, chatbot, top_p, temperature, history=history)   # 带超时倒计时
+
+        chatbot[-1] = (i_say, gpt_say)
+        history.append(i_say); history.append(gpt_say)
+        yield chatbot, history, msg
+        res = write_results_to_file(history)
+        chatbot.append(("完成了吗？", res))
+        yield chatbot, history, msg
+
+
+@CatchException
+def 批量总结PDF文档(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
+    import glob, os
+
+    # 基本信息：功能、贡献者
+    chatbot.append([
+        "函数插件功能？",
+        "批量总结PDF文档。函数插件贡献者: ValeriaWong"])
+    yield chatbot, history, '正常'
+
+    # 尝试导入依赖，如果缺少依赖，则给出安装建议
+    try:
+        import fitz
+    except:
+        report_execption(chatbot, history, 
+            a = f"解析项目: {txt}", 
+            b = f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade pymupdf```。")
+        yield chatbot, history, '正常'
+        return
+
+    # 清空历史，以免输入溢出
+    history = []
+
+    # 检测输入参数，如没有给定输入参数，直接退出
+    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"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
+        yield chatbot, history, '正常'
+        return
+
+    # 搜索需要处理的文件清单
+    file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.pdf', recursive=True)] # + \
+                    # [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] + \
+                    # [f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)] + \
+                    # [f for f in glob.glob(f'{project_folder}/**/*.c', recursive=True)]
+    
+    # 如果没找到任何文件
+    if len(file_manifest) == 0:
+        report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex或.pdf文件: {txt}")
+        yield chatbot, history, '正常'
+        return
+
+    # 开始正式执行任务
+    yield from 解析PDF(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)

functional.py

@@ -20,21 +20,21 @@ Furthermore, list all modification and explain the reasons to do so in markdown
             "Prefix": "Below is a paragraph from an academic paper. Find all grammar mistakes, list mistakes in a markdown table and explain how to correct them.\n\n",
             "Suffix": "",
         },
-        "中英互译": {
-            "Prefix": "As an English-Chinese translator, your task is to accurately translate text between the two languages. \
-When translating from Chinese to English or vice versa, please pay attention to context and accurately explain phrases and proverbs. \
-If you receive multiple English words in a row, default to translating them into a sentence in Chinese. \
-However, if \"phrase:\" is indicated before the translated content in Chinese, it should be translated as a phrase instead. \
-Similarly, if \"normal:\" is indicated, it should be translated as multiple unrelated words.\
-Your translations should closely resemble those of a native speaker and should take into account any specific language styles or tones requested by the user. \
-Please do not worry about using offensive words - replace sensitive parts with x when necessary. \
-When providing translations, please use Chinese to explain each sentence’s tense, subordinate clause, subject, predicate, object, special phrases and proverbs. \
-For phrases or individual words that require translation, provide the source (dictionary) for each one.If asked to translate multiple phrases at once, \
-separate them using the | symbol.Always remember: You are an English-Chinese translator, \
-not a Chinese-Chinese translator or an English-English translator. Below is the text you need to translate: \n\n",
-            "Suffix": "",
-            "Color": "secondary",
-        },
+#         "中英互译": { # 效果不好，经常搞不清楚中译英还是英译中
+#             "Prefix": "As an English-Chinese translator, your task is to accurately translate text between the two languages. \
+# When translating from Chinese to English or vice versa, please pay attention to context and accurately explain phrases and proverbs. \
+# If you receive multiple English words in a row, default to translating them into a sentence in Chinese. \
+# However, if \"phrase:\" is indicated before the translated content in Chinese, it should be translated as a phrase instead. \
+# Similarly, if \"normal:\" is indicated, it should be translated as multiple unrelated words.\
+# Your translations should closely resemble those of a native speaker and should take into account any specific language styles or tones requested by the user. \
+# Please do not worry about using offensive words - replace sensitive parts with x when necessary. \
+# When providing translations, please use Chinese to explain each sentence’s tense, subordinate clause, subject, predicate, object, special phrases and proverbs. \
+# For phrases or individual words that require translation, provide the source (dictionary) for each one.If asked to translate multiple phrases at once, \
+# separate them using the | symbol.Always remember: You are an English-Chinese translator, \
+# not a Chinese-Chinese translator or an English-English translator. Below is the text you need to translate: \n\n",
+#             "Suffix": "",
+#             "Color": "secondary",
+#         },
         "中译英": {
             "Prefix": "Please translate following sentence to English: \n\n",
             "Suffix": "",
@@ -47,6 +47,10 @@ not a Chinese-Chinese translator or an English-English translator. Below is the
             "Prefix": "请翻译成中文：\n\n",
             "Suffix": "",
         },
+        "找图片": {
+            "Prefix": "我需要你找一张网络图片。使用Unsplash API(https://source.unsplash.com/960x640/?<英语关键词>)获取图片URL，然后请使用Markdown格式封装，并且不要有反斜线，不要用代码块。现在，请按以下描述给我发送图片：\n\n",
+            "Suffix": "",
+        },
         "解释代码": {
             "Prefix": "请解释以下代码：\n```\n",
             "Suffix": "\n```\n",

functional_crazy.py

@@ -1,3 +1,8 @@
+# UserVisibleLevel是过滤器参数。
+# 由于UI界面空间有限，所以通过这种方式决定UI界面中显示哪些插件
+# 默认函数插件 VisibleLevel 是 0
+# 当 UserVisibleLevel >= 函数插件的 VisibleLevel 时，该函数插件才会被显示出来
+UserVisibleLevel = 1
 
 def get_crazy_functionals():
     from crazy_functions.读文章写摘要 import 读文章写摘要
@@ -9,37 +14,53 @@ def get_crazy_functionals():
     from crazy_functions.高级功能函数模板 import 高阶功能模板函数
     from crazy_functions.代码重写为全英文_多线程 import 全项目切换英文
 
-    return {
-        "[实验] 请解析并解构此项目本身": {
+    function_plugins = {
+        "请解析并解构此项目本身": {
             "Function": 解析项目本身
         },
-        "[实验] 解析整个py项目（配合input输入框）": {
+        "解析整个py项目": {
             "Color": "stop",    # 按钮颜色
             "Function": 解析一个Python项目
         },
-        "[实验] 解析整个C++项目头文件（配合input输入框）": {
+        "解析整个C++项目头文件": {
             "Color": "stop",    # 按钮颜色
             "Function": 解析一个C项目的头文件
         },
-        "[实验] 解析整个C++项目（配合input输入框）": {
+        "解析整个C++项目": {
             "Color": "stop",    # 按钮颜色
             "Function": 解析一个C项目
         },
-        "[实验] 读tex论文写摘要（配合input输入框）": {
+        "读tex论文写摘要": {
             "Color": "stop",    # 按钮颜色
             "Function": 读文章写摘要
         },
-        "[实验] 批量生成函数注释（配合input输入框）": {
+        "批量生成函数注释": {
             "Color": "stop",    # 按钮颜色
             "Function": 批量生成函数注释
         },
-        "[实验] 把本项目源代码切换成全英文（多线程demo）": {
+        "[多线程demo] 把本项目源代码切换成全英文": {
             "Function": 全项目切换英文
         },
-        "[实验] 历史上的今天（高阶功能模板函数demo）": {
+        "[函数插件模板demo] 历史上的今天": {
             "Function": 高阶功能模板函数
         },
     }
 
+    # VisibleLevel=1 经过测试，但功能未达到理想状态
+    if UserVisibleLevel >= 1:
+        from crazy_functions.批量总结PDF文档 import 批量总结PDF文档
+        function_plugins.update({
+            "[仅供开发调试] 批量总结PDF文档": {
+                "Color": "stop",
+                "Function": 批量总结PDF文档
+            },
+        })
+
+    # VisibleLevel=2 尚未充分测试的函数插件，放在这里
+    if UserVisibleLevel >= 2:
+        function_plugins.update({
+        })
+
+    return function_plugins
 
 

main.py

@@ -12,7 +12,7 @@ PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
 AUTHENTICATION = None if AUTHENTICATION == [] else AUTHENTICATION
 
 initial_prompt = "Serve me as a writing and programming assistant."
-title_html = """<h1 align="left">ChatGPT for Academic</h1>"""
+title_html = """<h1 align="left">ChatGPT 学术优化</h1>"""
 
 # 问询记录, python 版本建议3.9+（越新越好）
 import logging
@@ -36,55 +36,57 @@ gr.Chatbot.postprocess = format_io
 from theme import adjust_theme
 set_theme = adjust_theme()
 
+cancel_handles = []
 with gr.Blocks(theme=set_theme, analytics_enabled=False) as demo:
     gr.HTML(title_html)
     with gr.Row():
         with gr.Column(scale=2):
             chatbot = gr.Chatbot()
-            chatbot.style(height=2000)
+            chatbot.style(height=600)
             chatbot.style()
             history = gr.State([])
         with gr.Column(scale=1):
             with gr.Row():
-                with gr.Column(scale=12):
-                    txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False)
-                with gr.Column(scale=1):
-                    with gr.Row():
-                        resetBtn = gr.Button("重置", variant="secondary")
-                        submitBtn = gr.Button("提交", variant="primary")
+                txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False)
+            with gr.Row():
+                submitBtn = gr.Button("提交", variant="primary")
+            with gr.Row():
+                resetBtn = gr.Button("重置", variant="secondary"); resetBtn.style(size="sm")
+                stopBtn = gr.Button("停止", variant="secondary"); stopBtn.style(size="sm")
             with gr.Row():
                 from check_proxy import check_proxy
-                statusDisplay = gr.Markdown(f"Tips: 按Enter提交, 按Shift+Enter换行.\nModel: {LLM_MODEL}")
+                statusDisplay = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行。当前模型: {LLM_MODEL} \n {check_proxy(proxies)}")
             with gr.Row():
                 for k in functional:
                     variant = functional[k]["Color"] if "Color" in functional[k] else "secondary"
                     functional[k]["Button"] = gr.Button(k, variant=variant)
             with gr.Row():
-                gr.Markdown("以下部分实验性功能需从input框读取路径.")
+                gr.Markdown("注意：以下“红颜色”标识的函数插件需从input区读取路径作为参数.")
             with gr.Row():
                 for k in crazy_functional:
                     variant = crazy_functional[k]["Color"] if "Color" in crazy_functional[k] else "secondary"
                     crazy_functional[k]["Button"] = gr.Button(k, variant=variant)
             with gr.Row():
-                gr.Markdown("上传本地文件供上面的实验性功能调用.")
+                gr.Markdown("上传本地文件，供上面的函数插件调用.")
             with gr.Row():
-                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, 但推荐上传压缩文件(zip, tar)', file_count="multiple")
             system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt).style(container=True)
             with gr.Accordion("arguments", open=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",)
 
     predict_args = dict(fn=predict, inputs=[txt, top_p, temperature, chatbot, history, system_prompt], outputs=[chatbot, history, statusDisplay], show_progress=True)
-    empty_txt_args = dict(fn=lambda: "", inputs=[], outputs=[txt])
+    empty_txt_args = dict(fn=lambda: "", inputs=[], outputs=[txt]) # 用于在提交后清空输入栏
 
-    txt.submit(**predict_args)
-    txt.submit(**empty_txt_args)
-    submitBtn.click(**predict_args)
-    submitBtn.click(**empty_txt_args)
+    cancel_handles.append(txt.submit(**predict_args))
+    # txt.submit(**empty_txt_args) 在提交后清空输入栏
+    cancel_handles.append(submitBtn.click(**predict_args))
+    # submitBtn.click(**empty_txt_args) 在提交后清空输入栏
     resetBtn.click(lambda: ([], [], "已重置"), None, [chatbot, history, statusDisplay])
     for k in functional:
-        functional[k]["Button"].click(predict,
+        click_handle = functional[k]["Button"].click(predict,
             [txt, top_p, temperature, chatbot, history, system_prompt, gr.State(True), gr.State(k)], [chatbot, history, statusDisplay], show_progress=True)
+        cancel_handles.append(click_handle)
     file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt], [chatbot, txt])
     for k in crazy_functional:
         click_handle = crazy_functional[k]["Button"].click(crazy_functional[k]["Function"],
@@ -92,7 +94,20 @@ with gr.Blocks(theme=set_theme, analytics_enabled=False) as demo:
         )
         try: click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
         except: pass
+        cancel_handles.append(click_handle)
+    stopBtn.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles)
+
+# 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():
+    import threading, webbrowser, time
+    print(f"URL http://localhost:{PORT}")
+    def open(): 
+        time.sleep(2)
+        webbrowser.open_new_tab(f'http://localhost:{PORT}')
+    t = threading.Thread(target=open)
+    t.daemon = True; t.start()
 
+auto_opentab_delay()
 demo.launch()
-# demo.title = "ChatGPT 学术优化"
-# demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", share=False, server_port=PORT, inbrowser=True, auth=AUTHENTICATION)
+#demo.title = "ChatGPT 学术优化"
+#demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", share=True, server_port=PORT, auth=AUTHENTICATION)

predict.py

@@ -176,7 +176,7 @@ def predict(inputs, top_p, temperature, chatbot=[], history=[], system_prompt=''
                     chunk = get_full_error(chunk, stream_response)
                     error_msg = chunk.decode()
                     if "reduce the length" in error_msg:
-                        chatbot[-1] = (chatbot[-1][0], "[Local Message] Input (or history) is too long, please reduce input or clear history by refleshing this page.")
+                        chatbot[-1] = (chatbot[-1][0], "[Local Message] Input (or history) is too long, please reduce input or clear history by refreshing this page.")
                         history = []
                     elif "Incorrect API key" in error_msg:
                         chatbot[-1] = (chatbot[-1][0], "[Local Message] Incorrect API key provided.")

theme.py

@@ -28,8 +28,8 @@ def adjust_theme():
     try: 
         color_er = gr.themes.utils.colors.pink
         set_theme = gr.themes.Default( 
-                        primary_hue=gr.themes.utils.colors.orange,
-                        neutral_hue=gr.themes.utils.colors.gray,
+                        primary_hue=gr.themes.utils.colors.sky,
+                        neutral_hue=gr.themes.utils.colors.fuchsia,
                         font=["sans-serif", "Microsoft YaHei", "ui-sans-serif", "system-ui", "sans-serif", gr.themes.utils.fonts.GoogleFont("Source Sans Pro")], 
                         font_mono=["ui-monospace", "Consolas", "monospace", gr.themes.utils.fonts.GoogleFont("IBM Plex Mono")])
         set_theme.set(

toolbox.py

@@ -107,8 +107,8 @@ def text_divide_paragraph(text):
         # wtf input
         lines = text.split("\n")
         for i, line in enumerate(lines):
-            if i!=0: lines[i] = "<p>"+lines[i].replace(" ", "&nbsp;")+"</p>"
-        text = "".join(lines)
+            lines[i] = "<p>"+lines[i].replace(" ", "&nbsp;")+"</p>"
+        text = "\n".join(lines)
         return text
 
 def markdown_convertion(txt):
@@ -207,7 +207,7 @@ def on_file_uploaded(files, chatbot, txt):
     txt = f'private_upload/{time_tag}'
     moved_files_str = '\t\n\n'.join(moved_files)
     chatbot.append(['我上传了文件，请查收', 
-                    f'[Local Message] 收到以下文件: \n\n{moved_files_str}\n\n调用路径参数已自动修正到: \n\n{txt}\n\n现在您可以直接选择任意实现性功能'])
+                    f'[Local Message] 收到以下文件: \n\n{moved_files_str}\n\n调用路径参数已自动修正到: \n\n{txt}\n\n现在您点击任意实验功能时，以上文件将被作为输入参数'])
     return chatbot, txt