镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-07 06:56:48 +00:00
"version": 3.48
这个提交包含在：
binary-husky
83
app.py
83
app.py
@@ -4,27 +4,30 @@ def main():
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import subprocess, sys
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subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'gradio-stable-fork'])
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import gradio as gr
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if gr.__version__ not in ['3.28.3','3.32.3']: assert False, "请用 pip install -r requirements.txt 安装依赖"
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if gr.__version__ not in ['3.28.3','3.32.3']: 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"
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from request_llm.bridge_all import predict
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from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, DummyWith
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from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, load_chat_cookies, DummyWith
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# 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
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proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, API_KEY, AVAIL_LLM_MODELS = \
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get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY', 'AVAIL_LLM_MODELS')
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proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, AVAIL_LLM_MODELS, AUTO_CLEAR_TXT = \
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get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'AVAIL_LLM_MODELS', 'AUTO_CLEAR_TXT')
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ENABLE_AUDIO, AUTO_CLEAR_TXT = get_conf('ENABLE_AUDIO', 'AUTO_CLEAR_TXT')
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# 如果WEB_PORT是-1, 则随机选取WEB端口
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PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
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if not AUTHENTICATION: AUTHENTICATION = None
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from check_proxy import get_current_version
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from themes.theme import adjust_theme, advanced_css, theme_declaration
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initial_prompt = "Serve me as a writing and programming assistant."
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title_html = f"<h1 align=\"center\">ChatGPT 学术优化 {get_current_version()}</h1>"
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title_html = f"<h1 align=\"center\">GPT 学术优化 {get_current_version()}</h1>{theme_declaration}"
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description = """代码开源和更新[地址🚀](https://github.com/binary-husky/chatgpt_academic)，感谢热情的[开发者们❤️](https://github.com/binary-husky/chatgpt_academic/graphs/contributors)"""
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# 问询记录, python 版本建议3.9+（越新越好）
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import logging
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import logging, uuid
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os.makedirs("gpt_log", exist_ok=True)
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try:logging.basicConfig(filename="gpt_log/chat_secrets.log", level=logging.INFO, encoding="utf-8")
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except:logging.basicConfig(filename="gpt_log/chat_secrets.log", level=logging.INFO)
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try:logging.basicConfig(filename="gpt_log/chat_secrets.log", level=logging.INFO, encoding="utf-8", format="%(asctime)s %(levelname)-8s %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
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except:logging.basicConfig(filename="gpt_log/chat_secrets.log", level=logging.INFO, format="%(asctime)s %(levelname)-8s %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
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# Disable logging output from the 'httpx' logger
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logging.getLogger("httpx").setLevel(logging.WARNING)
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print("所有问询记录将自动保存在本地目录./gpt_log/chat_secrets.log, 请注意自我隐私保护哦！")
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# 一些普通功能模块
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@@ -39,7 +42,6 @@ def main():
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gr.Chatbot.postprocess = format_io
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# 做一些外观色彩上的调整
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from theme import adjust_theme, advanced_css
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set_theme = adjust_theme()
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# 代理与自动更新
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@@ -47,24 +49,24 @@ def main():
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proxy_info = check_proxy(proxies)
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gr_L1 = lambda: gr.Row().style()
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gr_L2 = lambda scale: gr.Column(scale=scale)
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gr_L2 = lambda scale, elem_id: gr.Column(scale=scale, elem_id=elem_id)
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if LAYOUT == "TOP-DOWN":
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gr_L1 = lambda: DummyWith()
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gr_L2 = lambda scale: gr.Row()
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gr_L2 = lambda scale, elem_id: gr.Row()
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CHATBOT_HEIGHT /= 2
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cancel_handles = []
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with gr.Blocks(title="ChatGPT 学术优化", theme=set_theme, analytics_enabled=False, css=advanced_css) as demo:
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with gr.Blocks(title="GPT 学术优化", theme=set_theme, analytics_enabled=False, css=advanced_css) as demo:
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gr.HTML(title_html)
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gr.HTML('''<center><a href="https://huggingface.co/spaces/qingxu98/gpt-academic?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>请您打开此页面后务必点击上方的“复制空间”（Duplicate Space）按钮！<font color="#FF00FF">使用时，先在输入框填入API-KEY然后回车。</font><br/>切忌在“复制空间”（Duplicate Space）之前填入API_KEY或进行提问，否则您的API_KEY将极可能被空间所有者攫取！<br/>支持任意数量的OpenAI的密钥和API2D的密钥共存，例如输入"OpenAI密钥1,API2D密钥2"，然后提交，即可同时使用两种模型接口。</center>''')
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cookies = gr.State({'api_key': API_KEY, 'llm_model': LLM_MODEL})
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cookies = gr.State(load_chat_cookies())
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with gr_L1():
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with gr_L2(scale=2):
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chatbot = gr.Chatbot(label=f"当前模型：{LLM_MODEL}")
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chatbot.style(height=CHATBOT_HEIGHT)
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with gr_L2(scale=2, elem_id="gpt-chat"):
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chatbot = gr.Chatbot(label=f"当前模型：{LLM_MODEL}", elem_id="gpt-chatbot")
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if LAYOUT == "TOP-DOWN": chatbot.style(height=CHATBOT_HEIGHT)
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history = gr.State([])
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with gr_L2(scale=1):
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with gr.Accordion("输入区", open=True) as area_input_primary:
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with gr_L2(scale=1, elem_id="gpt-panel"):
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with gr.Accordion("输入区", open=True, elem_id="input-panel") as area_input_primary:
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with gr.Row():
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txt = gr.Textbox(show_label=False, lines=2, placeholder="输入问题或API密钥，输入多个密钥时，用英文逗号间隔。支持OpenAI密钥和API2D密钥共存。").style(container=False)
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with gr.Row():
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@@ -73,17 +75,20 @@ def main():
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resetBtn = gr.Button("重置", variant="secondary"); resetBtn.style(size="sm")
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stopBtn = gr.Button("停止", variant="secondary"); stopBtn.style(size="sm")
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clearBtn = gr.Button("清除", variant="secondary", visible=False); clearBtn.style(size="sm")
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if ENABLE_AUDIO:
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with gr.Row():
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audio_mic = gr.Audio(source="microphone", type="numpy", streaming=True, show_label=False).style(container=False)
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with gr.Row():
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status = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行。当前模型: {LLM_MODEL} \n {proxy_info}")
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with gr.Accordion("基础功能区", open=True) as area_basic_fn:
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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")
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with gr.Accordion("基础功能区", open=True, elem_id="basic-panel") as area_basic_fn:
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with gr.Row():
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for k in functional:
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if ("Visible" in functional[k]) and (not functional[k]["Visible"]): continue
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variant = functional[k]["Color"] if "Color" in functional[k] else "secondary"
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functional[k]["Button"] = gr.Button(k, variant=variant)
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with gr.Accordion("函数插件区", open=True) as area_crazy_fn:
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with gr.Accordion("函数插件区", open=True, elem_id="plugin-panel") as area_crazy_fn:
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with gr.Row():
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gr.Markdown("注意：以下“红颜色”标识的函数插件需从输入区读取路径作为参数.")
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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）")
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with gr.Row():
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for k in crazy_fns:
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if not crazy_fns[k].get("AsButton", True): continue
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@@ -94,25 +99,25 @@ def main():
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with gr.Accordion("更多函数插件", open=True):
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dropdown_fn_list = [k for k in crazy_fns.keys() if not crazy_fns[k].get("AsButton", True)]
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with gr.Row():
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dropdown = gr.Dropdown(dropdown_fn_list, value=r"打开插件列表", label="").style(container=False)
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dropdown = gr.Dropdown(dropdown_fn_list, value=r"打开插件列表", label="", show_label=False).style(container=False)
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with gr.Row():
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plugin_advanced_arg = gr.Textbox(show_label=True, label="高级参数输入区", visible=False,
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placeholder="这里是特殊函数插件的高级参数输入区").style(container=False)
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with gr.Row():
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switchy_bt = gr.Button(r"请先从插件列表中选择", variant="secondary")
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with gr.Row():
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with gr.Accordion("点击展开“文件上传区”。上传本地文件可供红色函数插件调用。", open=False) as area_file_up:
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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:
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file_upload = gr.Files(label="任何文件, 但推荐上传压缩文件(zip, tar)", file_count="multiple")
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with gr.Accordion("更换模型 & SysPrompt & 交互界面布局", open=(LAYOUT == "TOP-DOWN")):
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with gr.Accordion("更换模型 & SysPrompt & 交互界面布局", open=(LAYOUT == "TOP-DOWN"), elem_id="interact-panel"):
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system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt)
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top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
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temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
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max_length_sl = gr.Slider(minimum=256, maximum=4096, value=512, step=1, interactive=True, label="Local LLM MaxLength",)
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max_length_sl = gr.Slider(minimum=256, maximum=8192, value=4096, step=1, interactive=True, label="Local LLM MaxLength",)
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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")
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md_dropdown = gr.Dropdown(AVAIL_LLM_MODELS, value=LLM_MODEL, label="更换LLM模型/请求源").style(container=False)
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gr.Markdown(description)
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with gr.Accordion("备选输入区", open=True, visible=False) as area_input_secondary:
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with gr.Accordion("备选输入区", open=True, visible=False, elem_id="input-panel2") as area_input_secondary:
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with gr.Row():
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txt2 = gr.Textbox(show_label=False, placeholder="Input question here.", label="输入区2").style(container=False)
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with gr.Row():
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@@ -147,6 +152,11 @@ def main():
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resetBtn2.click(lambda: ([], [], "已重置"), None, [chatbot, history, status])
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clearBtn.click(lambda: ("",""), None, [txt, txt2])
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clearBtn2.click(lambda: ("",""), None, [txt, txt2])
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if AUTO_CLEAR_TXT:
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submitBtn.click(lambda: ("",""), None, [txt, txt2])
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submitBtn2.click(lambda: ("",""), None, [txt, txt2])
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txt.submit(lambda: ("",""), None, [txt, txt2])
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txt2.submit(lambda: ("",""), None, [txt, txt2])
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# 基础功能区的回调函数注册
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for k in functional:
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if ("Visible" in functional[k]) and (not functional[k]["Visible"]): continue
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@@ -174,16 +184,29 @@ def main():
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return {chatbot: gr.update(label="当前模型："+k)}
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md_dropdown.select(on_md_dropdown_changed, [md_dropdown], [chatbot] )
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# 随变按钮的回调函数注册
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def route(k, *args, **kwargs):
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def route(request: gr.Request, k, *args, **kwargs):
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if k in [r"打开插件列表", r"请先从插件列表中选择"]: return
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yield from ArgsGeneralWrapper(crazy_fns[k]["Function"])(*args, **kwargs)
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yield from ArgsGeneralWrapper(crazy_fns[k]["Function"])(request, *args, **kwargs)
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click_handle = switchy_bt.click(route,[switchy_bt, *input_combo, gr.State(PORT)], output_combo)
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click_handle.then(on_report_generated, [cookies, file_upload, chatbot], [cookies, file_upload, chatbot])
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cancel_handles.append(click_handle)
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# 终止按钮的回调函数注册
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stopBtn.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles)
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stopBtn2.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles)
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if ENABLE_AUDIO:
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from crazy_functions.live_audio.audio_io import RealtimeAudioDistribution
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rad = RealtimeAudioDistribution()
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def deal_audio(audio, cookies):
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rad.feed(cookies['uuid'].hex, audio)
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audio_mic.stream(deal_audio, inputs=[audio_mic, cookies])
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def init_cookie(cookies, chatbot):
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# 为每一位访问的用户赋予一个独一无二的uuid编码
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cookies.update({'uuid': uuid.uuid4()})
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return cookies
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demo.load(init_cookie, inputs=[cookies, chatbot], outputs=[cookies])
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demo.load(lambda: 0, inputs=None, outputs=None, _js='()=>{ChatBotHeight();}')
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# gradio的inbrowser触发不太稳定，回滚代码到原始的浏览器打开函数
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def auto_opentab_delay():
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import threading, webbrowser, time
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