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huggingface
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dev_ui
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@@ -0,0 +1,19 @@
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|||||||
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---
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||||||
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name: Bug report
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||||||
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about: Create a report to help us improve
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||||||
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title: ''
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||||||
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labels: ''
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||||||
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assignees: ''
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||||||
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||||||
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---
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||||||
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||||||
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**Describe the bug 简述**
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||||||
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||||||
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**Screen Shot 截图**
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||||||
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||||||
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**Terminal Traceback 终端traceback(如果有)**
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||||||
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||||||
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||||||
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Before submitting an issue 提交issue之前:
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||||||
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- Please try to upgrade your code. 如果您的代码不是最新的,建议您先尝试更新代码
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||||||
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- Please check project wiki for common problem solutions.项目[wiki](https://github.com/binary-husky/chatgpt_academic/wiki)有一些常见问题的解决方法
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@@ -0,0 +1,10 @@
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---
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||||||
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name: Feature request
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||||||
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about: Suggest an idea for this project
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||||||
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title: ''
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||||||
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labels: ''
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||||||
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assignees: ''
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---
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@@ -140,3 +140,4 @@ gpt_log
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private.md
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private.md
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private_upload
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private_upload
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other_llms
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other_llms
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cradle.py
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@@ -46,6 +46,8 @@ arxiv小助手 | [函数插件] 输入arxiv文章url即可一键翻译摘要+下
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图片显示 | 可以在markdown中显示图片
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图片显示 | 可以在markdown中显示图片
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多线程函数插件支持 | 支持多线调用chatgpt,一键处理海量文本或程序
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多线程函数插件支持 | 支持多线调用chatgpt,一键处理海量文本或程序
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支持GPT输出的markdown表格 | 可以输出支持GPT的markdown表格
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支持GPT输出的markdown表格 | 可以输出支持GPT的markdown表格
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启动暗色gradio[主题](https://github.com/binary-husky/chatgpt_academic/issues/173) | 在浏览器url后面添加```/?__dark-theme=true```可以切换dark主题
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huggingface免科学上网[在线体验](https://huggingface.co/spaces/qingxu98/gpt-academic) | 登陆huggingface后复制[此空间](https://huggingface.co/spaces/qingxu98/gpt-academic)
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…… | ……
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…… | ……
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</div>
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</div>
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@@ -113,7 +115,7 @@ python -m pip install -r requirements.txt
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# (选择二.2)conda activate gptac_venv
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# (选择二.2)conda activate gptac_venv
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# (选择二.3)python -m pip install -r requirements.txt
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# (选择二.3)python -m pip install -r requirements.txt
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# 备注:使用官方pip源或者阿里pip源,其他pip源(如清华pip)有可能出问题,临时换源方法:
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# 备注:使用官方pip源或者阿里pip源,其他pip源(如一些大学的pip)有可能出问题,临时换源方法:
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# python -m pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
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# python -m pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
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```
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```
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@@ -255,9 +257,24 @@ python check_proxy.py
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<img src="https://user-images.githubusercontent.com/96192199/227504931-19955f78-45cd-4d1c-adac-e71e50957915.png" height="400" >
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<img src="https://user-images.githubusercontent.com/96192199/227504931-19955f78-45cd-4d1c-adac-e71e50957915.png" height="400" >
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</div>
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</div>
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## Todo:
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- (Top Priority) 调用另一个开源项目text-generation-webui的web接口,使用其他llm模型
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### 源代码转译英文
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- 总结大工程源代码时,文本过长、token溢出的问题(目前的方法是直接二分丢弃处理溢出,过于粗暴,有效信息大量丢失)
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<div align="center">
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<img src="https://user-images.githubusercontent.com/96192199/229720562-fe6c3508-6142-4635-a83d-21eb3669baee.png" height="400" >
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</div>
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## Todo 与 版本规划:
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- version 3 (Todo):
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- - 支持gpt4和其他更多llm
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- version 2.3+ (Todo):
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- - 总结大工程源代码时文本过长、token溢出的问题
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- - 实现项目打包部署
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- - 函数插件参数接口优化
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- - 自更新
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- version 2.3: 增强多线程交互性
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- version 2.2: 函数插件支持热重载
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- version 2.1: 可折叠式布局
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- version 2.0: 引入模块化函数插件
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- version 1.0: 基础功能
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@@ -19,6 +19,30 @@ def check_proxy(proxies):
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return result
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return result
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def auto_update():
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from toolbox import get_conf
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import requests, time, json
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proxies, = get_conf('proxies')
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response = requests.get("https://raw.githubusercontent.com/binary-husky/chatgpt_academic/master/version",
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proxies=proxies, timeout=1)
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remote_json_data = json.loads(response.text)
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remote_version = remote_json_data['version']
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if remote_json_data["show_feature"]:
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new_feature = "新功能:" + remote_json_data["new_feature"]
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else:
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new_feature = ""
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with open('./version', 'r', encoding='utf8') as f:
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current_version = f.read()
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current_version = json.loads(current_version)['version']
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if (remote_version - current_version) >= 0.05:
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print(f'\n新版本可用。新版本:{remote_version},当前版本:{current_version}。{new_feature}')
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print('Github更新地址:\nhttps://github.com/binary-husky/chatgpt_academic\n')
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time.sleep(3)
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return
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else:
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return
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if __name__ == '__main__':
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if __name__ == '__main__':
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import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
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import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
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from toolbox import get_conf
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from toolbox import get_conf
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@@ -24,6 +24,9 @@ else:
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# 对话窗的高度
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# 对话窗的高度
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CHATBOT_HEIGHT = 1115
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CHATBOT_HEIGHT = 1115
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# 窗口布局
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LAYOUT = "LEFT-RIGHT" # "LEFT-RIGHT"(左右布局) # "TOP-DOWN"(上下布局)
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# 发送请求到OpenAI后,等待多久判定为超时
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# 发送请求到OpenAI后,等待多久判定为超时
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TIMEOUT_SECONDS = 25
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TIMEOUT_SECONDS = 25
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+110
-20
@@ -1,41 +1,123 @@
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import threading
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import threading
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from predict import predict_no_ui_long_connection
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from predict import predict_no_ui_long_connection
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from toolbox import CatchException, write_results_to_file
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from toolbox import CatchException, write_results_to_file, report_execption
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def extract_code_block_carefully(txt):
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splitted = txt.split('```')
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n_code_block_seg = len(splitted) - 1
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if n_code_block_seg <= 1: return txt
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# 剩下的情况都开头除去 ``` 结尾除去一次 ```
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txt_out = '```'.join(splitted[1:-1])
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return txt_out
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def breakdown_txt_to_satisfy_token_limit(txt, get_token_fn, limit, must_break_at_empty_line=True):
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def cut(txt_tocut, must_break_at_empty_line): # 递归
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if get_token_fn(txt_tocut) <= limit:
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return [txt_tocut]
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else:
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lines = txt_tocut.split('\n')
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estimated_line_cut = limit / get_token_fn(txt_tocut) * len(lines)
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estimated_line_cut = int(estimated_line_cut)
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for cnt in reversed(range(estimated_line_cut)):
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if must_break_at_empty_line:
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if lines[cnt] != "": continue
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print(cnt)
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prev = "\n".join(lines[:cnt])
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post = "\n".join(lines[cnt:])
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if get_token_fn(prev) < limit: break
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if cnt == 0:
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print('what the f?')
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raise RuntimeError("存在一行极长的文本!")
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print(len(post))
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# 列表递归接龙
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result = [prev]
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result.extend(cut(post, must_break_at_empty_line))
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return result
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try:
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return cut(txt, must_break_at_empty_line=True)
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except RuntimeError:
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return cut(txt, must_break_at_empty_line=False)
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def break_txt_into_half_at_some_linebreak(txt):
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lines = txt.split('\n')
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n_lines = len(lines)
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pre = lines[:(n_lines//2)]
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post = lines[(n_lines//2):]
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return "\n".join(pre), "\n".join(post)
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@CatchException
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@CatchException
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def 全项目切换英文(txt, top_p, temperature, chatbot, history, sys_prompt, WEB_PORT):
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def 全项目切换英文(txt, top_p, temperature, chatbot, history, sys_prompt, WEB_PORT):
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history = [] # 清空历史,以免输入溢出
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# 第1步:清空历史,以免输入溢出
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# 集合文件
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history = []
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import time, glob, os
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# 第2步:尝试导入依赖,如果缺少依赖,则给出安装建议
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try:
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import openai, transformers
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except:
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report_execption(chatbot, history,
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a = f"解析项目: {txt}",
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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 openai transformers```。")
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yield chatbot, history, '正常'
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return
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# 第3步:集合文件
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import time, glob, os, shutil, re, openai
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os.makedirs('gpt_log/generated_english_version', exist_ok=True)
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os.makedirs('gpt_log/generated_english_version', exist_ok=True)
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os.makedirs('gpt_log/generated_english_version/crazy_functions', exist_ok=True)
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os.makedirs('gpt_log/generated_english_version/crazy_functions', exist_ok=True)
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file_manifest = [f for f in glob.glob('./*.py') if ('test_project' not in f) and ('gpt_log' not in f)] + \
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file_manifest = [f for f in glob.glob('./*.py') if ('test_project' not in f) and ('gpt_log' not in f)] + \
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[f for f in glob.glob('./crazy_functions/*.py') if ('test_project' not in f) and ('gpt_log' not in f)]
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[f for f in glob.glob('./crazy_functions/*.py') if ('test_project' not in f) and ('gpt_log' not in f)]
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# file_manifest = ['./toolbox.py']
|
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i_say_show_user_buffer = []
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i_say_show_user_buffer = []
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|
||||||
# 随便显示点什么防止卡顿的感觉
|
# 第4步:随便显示点什么防止卡顿的感觉
|
||||||
for index, fp in enumerate(file_manifest):
|
for index, fp in enumerate(file_manifest):
|
||||||
# if 'test_project' in fp: continue
|
# if 'test_project' in fp: continue
|
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with open(fp, 'r', encoding='utf-8') as f:
|
with open(fp, 'r', encoding='utf-8') as f:
|
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file_content = f.read()
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file_content = f.read()
|
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i_say_show_user =f'[{index}/{len(file_manifest)}] 接下来请将以下代码中包含的所有中文转化为英文,只输出代码: {os.path.abspath(fp)}'
|
i_say_show_user =f'[{index}/{len(file_manifest)}] 接下来请将以下代码中包含的所有中文转化为英文,只输出转化后的英文代码,请用代码块输出代码: {os.path.abspath(fp)}'
|
||||||
i_say_show_user_buffer.append(i_say_show_user)
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i_say_show_user_buffer.append(i_say_show_user)
|
||||||
chatbot.append((i_say_show_user, "[Local Message] 等待多线程操作,中间过程不予显示."))
|
chatbot.append((i_say_show_user, "[Local Message] 等待多线程操作,中间过程不予显示."))
|
||||||
yield chatbot, history, '正常'
|
yield chatbot, history, '正常'
|
||||||
|
|
||||||
# 任务函数
|
|
||||||
|
# 第5步:Token限制下的截断与处理
|
||||||
|
MAX_TOKEN = 3000
|
||||||
|
from transformers import GPT2TokenizerFast
|
||||||
|
print('加载tokenizer中')
|
||||||
|
tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
|
||||||
|
get_token_fn = lambda txt: len(tokenizer(txt)["input_ids"])
|
||||||
|
print('加载tokenizer结束')
|
||||||
|
|
||||||
|
|
||||||
|
# 第6步:任务函数
|
||||||
mutable_return = [None for _ in file_manifest]
|
mutable_return = [None for _ in file_manifest]
|
||||||
|
observe_window = [[""] for _ in file_manifest]
|
||||||
def thread_worker(fp,index):
|
def thread_worker(fp,index):
|
||||||
|
if index > 10:
|
||||||
|
time.sleep(60)
|
||||||
|
print('Openai 限制免费用户每分钟20次请求,降低请求频率中。')
|
||||||
with open(fp, 'r', encoding='utf-8') as f:
|
with open(fp, 'r', encoding='utf-8') as f:
|
||||||
file_content = f.read()
|
file_content = f.read()
|
||||||
i_say = f'接下来请将以下代码中包含的所有中文转化为英文,只输出代码,文件名是{fp},文件代码是 ```{file_content}```'
|
i_say_template = lambda fp, file_content: f'接下来请将以下代码中包含的所有中文转化为英文,只输出代码,文件名是{fp},文件代码是 ```{file_content}```'
|
||||||
# ** gpt request **
|
try:
|
||||||
gpt_say = predict_no_ui_long_connection(inputs=i_say, top_p=top_p, temperature=temperature, history=history, sys_prompt=sys_prompt)
|
gpt_say = ""
|
||||||
|
# 分解代码文件
|
||||||
|
file_content_breakdown = breakdown_txt_to_satisfy_token_limit(file_content, get_token_fn, MAX_TOKEN)
|
||||||
|
for file_content_partial in file_content_breakdown:
|
||||||
|
i_say = i_say_template(fp, file_content_partial)
|
||||||
|
# # ** gpt request **
|
||||||
|
gpt_say_partial = predict_no_ui_long_connection(inputs=i_say, top_p=top_p, temperature=temperature, history=[], sys_prompt=sys_prompt, observe_window=observe_window[index])
|
||||||
|
gpt_say_partial = extract_code_block_carefully(gpt_say_partial)
|
||||||
|
gpt_say += gpt_say_partial
|
||||||
mutable_return[index] = gpt_say
|
mutable_return[index] = gpt_say
|
||||||
|
except ConnectionAbortedError as token_exceed_err:
|
||||||
|
print('至少一个线程任务Token溢出而失败', e)
|
||||||
|
except Exception as e:
|
||||||
|
print('至少一个线程任务意外失败', e)
|
||||||
|
|
||||||
# 所有线程同时开始执行任务函数
|
# 第7步:所有线程同时开始执行任务函数
|
||||||
handles = [threading.Thread(target=thread_worker, args=(fp,index)) for index, fp in enumerate(file_manifest)]
|
handles = [threading.Thread(target=thread_worker, args=(fp,index)) for index, fp in enumerate(file_manifest)]
|
||||||
for h in handles:
|
for h in handles:
|
||||||
h.daemon = True
|
h.daemon = True
|
||||||
@@ -43,19 +125,23 @@ def 全项目切换英文(txt, top_p, temperature, chatbot, history, sys_prompt,
|
|||||||
chatbot.append(('开始了吗?', f'多线程操作已经开始'))
|
chatbot.append(('开始了吗?', f'多线程操作已经开始'))
|
||||||
yield chatbot, history, '正常'
|
yield chatbot, history, '正常'
|
||||||
|
|
||||||
# 循环轮询各个线程是否执行完毕
|
# 第8步:循环轮询各个线程是否执行完毕
|
||||||
cnt = 0
|
cnt = 0
|
||||||
while True:
|
while True:
|
||||||
time.sleep(1)
|
cnt += 1
|
||||||
|
time.sleep(0.2)
|
||||||
th_alive = [h.is_alive() for h in handles]
|
th_alive = [h.is_alive() for h in handles]
|
||||||
if not any(th_alive): break
|
if not any(th_alive): break
|
||||||
stat = ['执行中' if alive else '已完成' for alive in th_alive]
|
# 更好的UI视觉效果
|
||||||
stat_str = '|'.join(stat)
|
observe_win = []
|
||||||
cnt += 1
|
for thread_index, alive in enumerate(th_alive):
|
||||||
chatbot[-1] = (chatbot[-1][0], f'多线程操作已经开始,完成情况: {stat_str}' + ''.join(['.']*(cnt%4)))
|
observe_win.append("[ ..."+observe_window[thread_index][0][-60:].replace('\n','').replace('```','...').replace(' ','.').replace('<br/>','.....').replace('$','.')+"... ]")
|
||||||
|
stat = [f'执行中: {obs}\n\n' if alive else '已完成\n\n' for alive, obs in zip(th_alive, observe_win)]
|
||||||
|
stat_str = ''.join(stat)
|
||||||
|
chatbot[-1] = (chatbot[-1][0], f'多线程操作已经开始,完成情况: \n\n{stat_str}' + ''.join(['.']*(cnt%10+1)))
|
||||||
yield chatbot, history, '正常'
|
yield chatbot, history, '正常'
|
||||||
|
|
||||||
# 把结果写入文件
|
# 第9步:把结果写入文件
|
||||||
for index, h in enumerate(handles):
|
for index, h in enumerate(handles):
|
||||||
h.join() # 这里其实不需要join了,肯定已经都结束了
|
h.join() # 这里其实不需要join了,肯定已经都结束了
|
||||||
fp = file_manifest[index]
|
fp = file_manifest[index]
|
||||||
@@ -63,13 +149,17 @@ def 全项目切换英文(txt, top_p, temperature, chatbot, history, sys_prompt,
|
|||||||
i_say_show_user = i_say_show_user_buffer[index]
|
i_say_show_user = i_say_show_user_buffer[index]
|
||||||
|
|
||||||
where_to_relocate = f'gpt_log/generated_english_version/{fp}'
|
where_to_relocate = f'gpt_log/generated_english_version/{fp}'
|
||||||
with open(where_to_relocate, 'w+', encoding='utf-8') as f: f.write(gpt_say.lstrip('```').rstrip('```'))
|
if gpt_say is not None:
|
||||||
|
with open(where_to_relocate, 'w+', encoding='utf-8') as f:
|
||||||
|
f.write(gpt_say)
|
||||||
|
else: # 失败
|
||||||
|
shutil.copyfile(file_manifest[index], where_to_relocate)
|
||||||
chatbot.append((i_say_show_user, f'[Local Message] 已完成{os.path.abspath(fp)}的转化,\n\n存入{os.path.abspath(where_to_relocate)}'))
|
chatbot.append((i_say_show_user, f'[Local Message] 已完成{os.path.abspath(fp)}的转化,\n\n存入{os.path.abspath(where_to_relocate)}'))
|
||||||
history.append(i_say_show_user); history.append(gpt_say)
|
history.append(i_say_show_user); history.append(gpt_say)
|
||||||
yield chatbot, history, '正常'
|
yield chatbot, history, '正常'
|
||||||
time.sleep(1)
|
time.sleep(1)
|
||||||
|
|
||||||
# 备份一个文件
|
# 第10步:备份一个文件
|
||||||
res = write_results_to_file(history)
|
res = write_results_to_file(history)
|
||||||
chatbot.append(("生成一份任务执行报告", res))
|
chatbot.append(("生成一份任务执行报告", res))
|
||||||
yield chatbot, history, '正常'
|
yield chatbot, history, '正常'
|
||||||
|
|||||||
+10
-10
@@ -18,43 +18,43 @@ def get_crazy_functionals():
|
|||||||
function_plugins = {
|
function_plugins = {
|
||||||
"请解析并解构此项目本身(源码自译解)": {
|
"请解析并解构此项目本身(源码自译解)": {
|
||||||
"AsButton": False, # 加入下拉菜单中
|
"AsButton": False, # 加入下拉菜单中
|
||||||
"Function": 解析项目本身
|
"Function": HotReload(解析项目本身)
|
||||||
},
|
},
|
||||||
"解析整个Py项目": {
|
"解析整个Py项目": {
|
||||||
"Color": "stop", # 按钮颜色
|
"Color": "stop", # 按钮颜色
|
||||||
"Function": 解析一个Python项目
|
"Function": HotReload(解析一个Python项目)
|
||||||
},
|
},
|
||||||
"解析整个C++项目头文件": {
|
"解析整个C++项目头文件": {
|
||||||
"Color": "stop", # 按钮颜色
|
"Color": "stop", # 按钮颜色
|
||||||
"Function": 解析一个C项目的头文件
|
"Function": HotReload(解析一个C项目的头文件)
|
||||||
},
|
},
|
||||||
"解析整个C++项目(.cpp/.h)": {
|
"解析整个C++项目(.cpp/.h)": {
|
||||||
"Color": "stop", # 按钮颜色
|
"Color": "stop", # 按钮颜色
|
||||||
"AsButton": False, # 加入下拉菜单中
|
"AsButton": False, # 加入下拉菜单中
|
||||||
"Function": 解析一个C项目
|
"Function": HotReload(解析一个C项目)
|
||||||
},
|
},
|
||||||
"解析整个Go项目": {
|
"解析整个Go项目": {
|
||||||
"Color": "stop", # 按钮颜色
|
"Color": "stop", # 按钮颜色
|
||||||
"AsButton": False, # 加入下拉菜单中
|
"AsButton": False, # 加入下拉菜单中
|
||||||
"Function": 解析一个Golang项目
|
"Function": HotReload(解析一个Golang项目)
|
||||||
},
|
},
|
||||||
"解析整个Java项目": {
|
"解析整个Java项目": {
|
||||||
"Color": "stop", # 按钮颜色
|
"Color": "stop", # 按钮颜色
|
||||||
"AsButton": False, # 加入下拉菜单中
|
"AsButton": False, # 加入下拉菜单中
|
||||||
"Function": 解析一个Java项目
|
"Function": HotReload(解析一个Java项目)
|
||||||
},
|
},
|
||||||
"解析整个Java项目": {
|
"解析整个React项目": {
|
||||||
"Color": "stop", # 按钮颜色
|
"Color": "stop", # 按钮颜色
|
||||||
"AsButton": False, # 加入下拉菜单中
|
"AsButton": False, # 加入下拉菜单中
|
||||||
"Function": 解析一个Rect项目
|
"Function": HotReload(解析一个Rect项目)
|
||||||
},
|
},
|
||||||
"读Tex论文写摘要": {
|
"读Tex论文写摘要": {
|
||||||
"Color": "stop", # 按钮颜色
|
"Color": "stop", # 按钮颜色
|
||||||
"Function": 读文章写摘要
|
"Function": HotReload(读文章写摘要)
|
||||||
},
|
},
|
||||||
"批量生成函数注释": {
|
"批量生成函数注释": {
|
||||||
"Color": "stop", # 按钮颜色
|
"Color": "stop", # 按钮颜色
|
||||||
"Function": 批量生成函数注释
|
"Function": HotReload(批量生成函数注释)
|
||||||
},
|
},
|
||||||
"[多线程demo] 把本项目源代码切换成全英文": {
|
"[多线程demo] 把本项目源代码切换成全英文": {
|
||||||
# HotReload 的意思是热更新,修改函数插件代码后,不需要重启程序,代码直接生效
|
# HotReload 的意思是热更新,修改函数插件代码后,不需要重启程序,代码直接生效
|
||||||
|
|||||||
@@ -1,11 +1,11 @@
|
|||||||
import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
|
import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
|
||||||
import gradio as gr
|
import gradio as gr
|
||||||
from predict import predict
|
from predict import predict
|
||||||
from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf
|
from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, 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
|
# 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, CHATBOT_HEIGHT = \
|
proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT = \
|
||||||
get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT')
|
get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT')
|
||||||
|
|
||||||
# 如果WEB_PORT是-1, 则随机选取WEB端口
|
# 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
|
PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
|
||||||
@@ -37,15 +37,27 @@ gr.Chatbot.postprocess = format_io
|
|||||||
from theme import adjust_theme, advanced_css
|
from theme import adjust_theme, advanced_css
|
||||||
set_theme = adjust_theme()
|
set_theme = adjust_theme()
|
||||||
|
|
||||||
|
# 代理与自动更新
|
||||||
|
from check_proxy import check_proxy, auto_update
|
||||||
|
proxy_info = check_proxy(proxies)
|
||||||
|
|
||||||
|
gr_L1 = lambda: gr.Row().style()
|
||||||
|
gr_L2 = lambda scale: gr.Column(scale=scale)
|
||||||
|
if LAYOUT == "TOP-DOWN":
|
||||||
|
gr_L1 = lambda: DummyWith()
|
||||||
|
gr_L2 = lambda scale: gr.Row()
|
||||||
|
CHATBOT_HEIGHT /= 2
|
||||||
|
|
||||||
cancel_handles = []
|
cancel_handles = []
|
||||||
with gr.Blocks(theme=set_theme, analytics_enabled=False, css=advanced_css) as demo:
|
with gr.Blocks(theme=set_theme, analytics_enabled=False, css=advanced_css) as demo:
|
||||||
gr.HTML(title_html)
|
gr.HTML(title_html)
|
||||||
with gr.Row().style(equal_height=True):
|
with gr_L1():
|
||||||
with gr.Column(scale=2):
|
with gr_L2(scale=2):
|
||||||
chatbot = gr.Chatbot()
|
chatbot = gr.Chatbot()
|
||||||
chatbot.style(height=CHATBOT_HEIGHT)
|
chatbot.style(height=CHATBOT_HEIGHT)
|
||||||
history = gr.State([])
|
history = gr.State([])
|
||||||
with gr.Column(scale=1):
|
with gr_L2(scale=1):
|
||||||
|
with gr.Accordion("输入区", open=True) as area_input_primary:
|
||||||
with gr.Row():
|
with gr.Row():
|
||||||
txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False)
|
txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False)
|
||||||
with gr.Row():
|
with gr.Row():
|
||||||
@@ -54,8 +66,7 @@ with gr.Blocks(theme=set_theme, analytics_enabled=False, css=advanced_css) as de
|
|||||||
resetBtn = gr.Button("重置", variant="secondary"); resetBtn.style(size="sm")
|
resetBtn = gr.Button("重置", variant="secondary"); resetBtn.style(size="sm")
|
||||||
stopBtn = gr.Button("停止", variant="secondary"); stopBtn.style(size="sm")
|
stopBtn = gr.Button("停止", variant="secondary"); stopBtn.style(size="sm")
|
||||||
with gr.Row():
|
with gr.Row():
|
||||||
from check_proxy import check_proxy
|
status = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行。当前模型: {LLM_MODEL} \n {proxy_info}")
|
||||||
status = 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.Accordion("基础功能区", open=True) as area_basic_fn:
|
with gr.Accordion("基础功能区", open=True) as area_basic_fn:
|
||||||
with gr.Row():
|
with gr.Row():
|
||||||
for k in functional:
|
for k in functional:
|
||||||
@@ -63,12 +74,13 @@ with gr.Blocks(theme=set_theme, analytics_enabled=False, css=advanced_css) as de
|
|||||||
functional[k]["Button"] = gr.Button(k, variant=variant)
|
functional[k]["Button"] = gr.Button(k, variant=variant)
|
||||||
with gr.Accordion("函数插件区", open=True) as area_crazy_fn:
|
with gr.Accordion("函数插件区", open=True) as area_crazy_fn:
|
||||||
with gr.Row():
|
with gr.Row():
|
||||||
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.")
|
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.")
|
||||||
with gr.Row():
|
with gr.Row():
|
||||||
for k in crazy_fns:
|
for k in crazy_fns:
|
||||||
if not crazy_fns[k].get("AsButton", True): continue
|
if not crazy_fns[k].get("AsButton", True): continue
|
||||||
variant = crazy_fns[k]["Color"] if "Color" in crazy_fns[k] else "secondary"
|
variant = crazy_fns[k]["Color"] if "Color" in crazy_fns[k] else "secondary"
|
||||||
crazy_fns[k]["Button"] = gr.Button(k, variant=variant)
|
crazy_fns[k]["Button"] = gr.Button(k, variant=variant)
|
||||||
|
crazy_fns[k]["Button"].style(size="sm")
|
||||||
with gr.Row():
|
with gr.Row():
|
||||||
with gr.Accordion("更多函数插件", open=True):
|
with gr.Accordion("更多函数插件", open=True):
|
||||||
dropdown_fn_list = [k for k in crazy_fns.keys() if not crazy_fns[k].get("AsButton", True)]
|
dropdown_fn_list = [k for k in crazy_fns.keys() if not crazy_fns[k].get("AsButton", True)]
|
||||||
@@ -79,38 +91,51 @@ with gr.Blocks(theme=set_theme, analytics_enabled=False, css=advanced_css) as de
|
|||||||
with gr.Row():
|
with gr.Row():
|
||||||
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:
|
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:
|
||||||
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")
|
||||||
with gr.Accordion("展开SysPrompt & 交互界面布局 & Github地址", open=False):
|
with gr.Accordion("展开SysPrompt & 交互界面布局 & Github地址", open=(LAYOUT == "TOP-DOWN")):
|
||||||
system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt)
|
system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt)
|
||||||
top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
|
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",)
|
temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
|
||||||
checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区"], value=["基础功能区", "函数插件区"], label="显示/隐藏功能区")
|
checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区", "底部输入区"], value=["基础功能区", "函数插件区"], label="显示/隐藏功能区")
|
||||||
gr.Markdown(description)
|
gr.Markdown(description)
|
||||||
|
with gr.Accordion("备选输入区", open=True, visible=False) as area_input_secondary:
|
||||||
|
with gr.Row():
|
||||||
|
txt2 = gr.Textbox(show_label=False, placeholder="Input question here.", label="输入区2").style(container=False)
|
||||||
|
with gr.Row():
|
||||||
|
submitBtn2 = gr.Button("提交", variant="primary")
|
||||||
|
with gr.Row():
|
||||||
|
resetBtn2 = gr.Button("重置", variant="secondary"); resetBtn.style(size="sm")
|
||||||
|
stopBtn2 = gr.Button("停止", variant="secondary"); stopBtn.style(size="sm")
|
||||||
# 功能区显示开关与功能区的互动
|
# 功能区显示开关与功能区的互动
|
||||||
def fn_area_visibility(a):
|
def fn_area_visibility(a):
|
||||||
ret = {}
|
ret = {}
|
||||||
ret.update({area_basic_fn: gr.update(visible=("基础功能区" in a))})
|
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_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_secondary: gr.update(visible=("底部输入区" in a))})
|
||||||
|
if "底部输入区" in a: ret.update({txt: gr.update(value="")})
|
||||||
return ret
|
return ret
|
||||||
checkboxes.select(fn_area_visibility, [checkboxes], [area_basic_fn, area_crazy_fn] )
|
checkboxes.select(fn_area_visibility, [checkboxes], [area_basic_fn, area_crazy_fn, area_input_primary, area_input_secondary, txt, txt2] )
|
||||||
# 整理反复出现的控件句柄组合
|
# 整理反复出现的控件句柄组合
|
||||||
input_combo = [txt, top_p, temperature, chatbot, history, system_prompt]
|
input_combo = [txt, txt2, top_p, temperature, chatbot, history, system_prompt]
|
||||||
output_combo = [chatbot, history, status]
|
output_combo = [chatbot, history, status]
|
||||||
predict_args = dict(fn=predict, inputs=input_combo, outputs=output_combo)
|
predict_args = dict(fn=ArgsGeneralWrapper(predict), inputs=input_combo, outputs=output_combo)
|
||||||
empty_txt_args = dict(fn=lambda: "", inputs=[], outputs=[txt]) # 用于在提交后清空输入栏
|
|
||||||
# 提交按钮、重置按钮
|
# 提交按钮、重置按钮
|
||||||
cancel_handles.append(txt.submit(**predict_args)) #; txt.submit(**empty_txt_args) 在提交后清空输入栏
|
cancel_handles.append(txt.submit(**predict_args))
|
||||||
cancel_handles.append(submitBtn.click(**predict_args)) #; submitBtn.click(**empty_txt_args) 在提交后清空输入栏
|
cancel_handles.append(txt2.submit(**predict_args))
|
||||||
|
cancel_handles.append(submitBtn.click(**predict_args))
|
||||||
|
cancel_handles.append(submitBtn2.click(**predict_args))
|
||||||
resetBtn.click(lambda: ([], [], "已重置"), None, output_combo)
|
resetBtn.click(lambda: ([], [], "已重置"), None, output_combo)
|
||||||
|
resetBtn2.click(lambda: ([], [], "已重置"), None, output_combo)
|
||||||
# 基础功能区的回调函数注册
|
# 基础功能区的回调函数注册
|
||||||
for k in functional:
|
for k in functional:
|
||||||
click_handle = functional[k]["Button"].click(predict, [*input_combo, gr.State(True), gr.State(k)], output_combo)
|
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)
|
cancel_handles.append(click_handle)
|
||||||
# 文件上传区,接收文件后与chatbot的互动
|
# 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], [chatbot, txt])
|
file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt], [chatbot, txt])
|
||||||
# 函数插件-固定按钮区
|
# 函数插件-固定按钮区
|
||||||
for k in crazy_fns:
|
for k in crazy_fns:
|
||||||
if not crazy_fns[k].get("AsButton", True): continue
|
if not crazy_fns[k].get("AsButton", True): continue
|
||||||
click_handle = crazy_fns[k]["Button"].click(crazy_fns[k]["Function"], [*input_combo, gr.State(PORT)], output_combo)
|
click_handle = crazy_fns[k]["Button"].click(ArgsGeneralWrapper(crazy_fns[k]["Function"]), [*input_combo, gr.State(PORT)], output_combo)
|
||||||
click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
|
click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
|
||||||
cancel_handles.append(click_handle)
|
cancel_handles.append(click_handle)
|
||||||
# 函数插件-下拉菜单与随变按钮的互动
|
# 函数插件-下拉菜单与随变按钮的互动
|
||||||
@@ -121,7 +146,7 @@ with gr.Blocks(theme=set_theme, analytics_enabled=False, css=advanced_css) as de
|
|||||||
# 随变按钮的回调函数注册
|
# 随变按钮的回调函数注册
|
||||||
def route(k, *args, **kwargs):
|
def route(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
|
if k in [r"打开插件列表", r"请先从插件列表中选择"]: return
|
||||||
yield from crazy_fns[k]["Function"](*args, **kwargs)
|
yield from ArgsGeneralWrapper(crazy_fns[k]["Function"])(*args, **kwargs)
|
||||||
click_handle = switchy_bt.click(route,[switchy_bt, *input_combo, gr.State(PORT)], output_combo)
|
click_handle = switchy_bt.click(route,[switchy_bt, *input_combo, gr.State(PORT)], output_combo)
|
||||||
click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
|
click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
|
||||||
# def expand_file_area(file_upload, area_file_up):
|
# def expand_file_area(file_upload, area_file_up):
|
||||||
@@ -130,14 +155,18 @@ with gr.Blocks(theme=set_theme, analytics_enabled=False, css=advanced_css) as de
|
|||||||
cancel_handles.append(click_handle)
|
cancel_handles.append(click_handle)
|
||||||
# 终止按钮的回调函数注册
|
# 终止按钮的回调函数注册
|
||||||
stopBtn.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles)
|
stopBtn.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles)
|
||||||
|
stopBtn2.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
|
# 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 auto_opentab_delay():
|
||||||
import threading, webbrowser, time
|
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: http://localhost:{PORT}")
|
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(亮色主体): http://localhost:{PORT}")
|
||||||
|
print(f"\t(暗色主体): http://localhost:{PORT}/?__dark-theme=true")
|
||||||
def open():
|
def open():
|
||||||
time.sleep(2)
|
time.sleep(2)
|
||||||
webbrowser.open_new_tab(f"http://localhost:{PORT}")
|
try: auto_update() # 检查新版本
|
||||||
|
except: pass
|
||||||
|
webbrowser.open_new_tab(f"http://localhost:{PORT}/?__dark-theme=true")
|
||||||
threading.Thread(target=open, name="open-browser", daemon=True).start()
|
threading.Thread(target=open, name="open-browser", daemon=True).start()
|
||||||
|
|
||||||
auto_opentab_delay()
|
auto_opentab_delay()
|
||||||
|
|||||||
+6
-2
@@ -71,9 +71,10 @@ def predict_no_ui(inputs, top_p, temperature, history=[], sys_prompt=""):
|
|||||||
raise ConnectionAbortedError("Json解析不合常规,可能是文本过长" + response.text)
|
raise ConnectionAbortedError("Json解析不合常规,可能是文本过长" + response.text)
|
||||||
|
|
||||||
|
|
||||||
def predict_no_ui_long_connection(inputs, top_p, temperature, history=[], sys_prompt=""):
|
def predict_no_ui_long_connection(inputs, top_p, temperature, history=[], sys_prompt="", observe_window=None):
|
||||||
"""
|
"""
|
||||||
发送至chatGPT,等待回复,一次性完成,不显示中间过程。但内部用stream的方法避免有人中途掐网线。
|
发送至chatGPT,等待回复,一次性完成,不显示中间过程。但内部用stream的方法避免有人中途掐网线。
|
||||||
|
observe_window:用于负责跨越线程传递已经输出的部分,大部分时候仅仅为了fancy的视觉效果,留空即可
|
||||||
"""
|
"""
|
||||||
headers, payload = generate_payload(inputs, top_p, temperature, history, system_prompt=sys_prompt, stream=True)
|
headers, payload = generate_payload(inputs, top_p, temperature, history, system_prompt=sys_prompt, stream=True)
|
||||||
|
|
||||||
@@ -105,7 +106,10 @@ def predict_no_ui_long_connection(inputs, top_p, temperature, history=[], sys_pr
|
|||||||
delta = json_data["delta"]
|
delta = json_data["delta"]
|
||||||
if len(delta) == 0: break
|
if len(delta) == 0: break
|
||||||
if "role" in delta: continue
|
if "role" in delta: continue
|
||||||
if "content" in delta: result += delta["content"]; print(delta["content"], end='')
|
if "content" in delta:
|
||||||
|
result += delta["content"]
|
||||||
|
print(delta["content"], end='')
|
||||||
|
if observe_window is not None: observe_window[0] += delta["content"]
|
||||||
else: raise RuntimeError("意外Json结构:"+delta)
|
else: raise RuntimeError("意外Json结构:"+delta)
|
||||||
if json_data['finish_reason'] == 'length':
|
if json_data['finish_reason'] == 'length':
|
||||||
raise ConnectionAbortedError("正常结束,但显示Token不足。")
|
raise ConnectionAbortedError("正常结束,但显示Token不足。")
|
||||||
|
|||||||
@@ -3,3 +3,5 @@ requests[socks]
|
|||||||
mdtex2html
|
mdtex2html
|
||||||
Markdown
|
Markdown
|
||||||
latex2mathml
|
latex2mathml
|
||||||
|
openai
|
||||||
|
transformers
|
||||||
|
|||||||
@@ -26,7 +26,7 @@ import gradio as gr
|
|||||||
|
|
||||||
def adjust_theme():
|
def adjust_theme():
|
||||||
try:
|
try:
|
||||||
color_er = gr.themes.utils.colors.pink
|
color_er = gr.themes.utils.colors.fuchsia
|
||||||
set_theme = gr.themes.Default(
|
set_theme = gr.themes.Default(
|
||||||
primary_hue=gr.themes.utils.colors.orange,
|
primary_hue=gr.themes.utils.colors.orange,
|
||||||
neutral_hue=gr.themes.utils.colors.gray,
|
neutral_hue=gr.themes.utils.colors.gray,
|
||||||
|
|||||||
+18
-1
@@ -2,6 +2,17 @@ import markdown, mdtex2html, threading, importlib, traceback, importlib, inspect
|
|||||||
from show_math import convert as convert_math
|
from show_math import convert as convert_math
|
||||||
from functools import wraps, lru_cache
|
from functools import wraps, lru_cache
|
||||||
|
|
||||||
|
def ArgsGeneralWrapper(f):
|
||||||
|
"""
|
||||||
|
装饰器函数,用于重组输入参数,改变输入参数的顺序与结构。
|
||||||
|
"""
|
||||||
|
def decorated(txt, txt2, *args, **kwargs):
|
||||||
|
txt_passon = txt
|
||||||
|
if txt == "" and txt2 != "": txt_passon = txt2
|
||||||
|
yield from f(txt_passon, *args, **kwargs)
|
||||||
|
return decorated
|
||||||
|
|
||||||
|
|
||||||
def get_reduce_token_percent(text):
|
def get_reduce_token_percent(text):
|
||||||
try:
|
try:
|
||||||
# text = "maximum context length is 4097 tokens. However, your messages resulted in 4870 tokens"
|
# text = "maximum context length is 4097 tokens. However, your messages resulted in 4870 tokens"
|
||||||
@@ -116,7 +127,7 @@ def CatchException(f):
|
|||||||
from toolbox import get_conf
|
from toolbox import get_conf
|
||||||
proxies, = get_conf('proxies')
|
proxies, = get_conf('proxies')
|
||||||
tb_str = '```\n' + traceback.format_exc() + '```'
|
tb_str = '```\n' + traceback.format_exc() + '```'
|
||||||
if len(chatbot) == 0: chatbot.append(["插件调度异常","异常原因"])
|
if chatbot is None or len(chatbot) == 0: chatbot = [["插件调度异常","异常原因"]]
|
||||||
chatbot[-1] = (chatbot[-1][0], f"[Local Message] 实验性函数调用出错: \n\n{tb_str} \n\n当前代理可用性: \n\n{check_proxy(proxies)}")
|
chatbot[-1] = (chatbot[-1][0], f"[Local Message] 实验性函数调用出错: \n\n{tb_str} \n\n当前代理可用性: \n\n{check_proxy(proxies)}")
|
||||||
yield chatbot, history, f'异常 {e}'
|
yield chatbot, history, f'异常 {e}'
|
||||||
return decorated
|
return decorated
|
||||||
@@ -342,3 +353,9 @@ def clear_line_break(txt):
|
|||||||
txt = txt.replace(' ', ' ')
|
txt = txt.replace(' ', ' ')
|
||||||
txt = txt.replace(' ', ' ')
|
txt = txt.replace(' ', ' ')
|
||||||
return txt
|
return txt
|
||||||
|
|
||||||
|
class DummyWith():
|
||||||
|
def __enter__(self):
|
||||||
|
return self
|
||||||
|
def __exit__(self, exc_type, exc_value, traceback):
|
||||||
|
return
|
||||||
Reference in New Issue
Block a user