feat(支持rar格式与7z格式解压)
Browse files- requirements.txt +9 -2
- toolbox.py +67 -24
requirements.txt
CHANGED
@@ -1,3 +1,10 @@
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1 |
gradio>=3.23
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2 |
-
requests[socks]
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3 |
-
mdtex2html
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1 |
gradio>=3.23
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2 |
+
requests[socks]~=2.28.2
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3 |
+
mdtex2html~=1.2.0
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4 |
+
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+
markdown~=3.4.3
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+
latex2mathml~=3.75.1
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+
numpy~=1.21.6
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8 |
+
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+
rarfile~=4.0
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+
py7zr~=0.20.4
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toolbox.py
CHANGED
@@ -2,6 +2,7 @@ import markdown, mdtex2html, threading, importlib, traceback
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from show_math import convert as convert_math
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from functools import wraps
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def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[], sys_prompt=''):
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"""
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调用简单的predict_no_ui接口,但是依然保留了些许界面心跳功能,当对话太长时,会自动采用二分法截断
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@@ -13,36 +14,43 @@ def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temp
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# 多线程的时候,需要一个mutable结构在不同线程之间传递信息
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# list就是最简单的mutable结构,我们第一个位置放gpt输出,第二个位置传递报错信息
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mutable = [None, '']
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# multi-threading worker
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def mt(i_say, history):
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while True:
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try:
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-
mutable[0] = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history,
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break
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except ConnectionAbortedError as e:
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if len(history) > 0:
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-
history = [his[len(his)//2:] for his in history if his is not None]
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mutable[1] = 'Warning! History conversation is too long, cut into half. '
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else:
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-
i_say = i_say[:len(i_say)//2]
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mutable[1] = 'Warning! Input file is too long, cut into half. '
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except TimeoutError as e:
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mutable[0] = '[Local Message] Failed with timeout.'
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raise TimeoutError
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# 创建新线程发出http请求
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-
thread_name = threading.Thread(target=mt, args=(i_say, history));
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# 原来的线程则负责持续更新UI,实现一个超时倒计时,并等待新线程的任务完成
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cnt = 0
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while thread_name.is_alive():
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cnt += 1
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-
chatbot[-1] = (i_say_show_user,
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yield chatbot, history, '正常'
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time.sleep(1)
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# 把gpt的输出从mutable中取出来
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gpt_say = mutable[0]
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-
if gpt_say=='[Local Message] Failed with timeout.': raise TimeoutError
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return gpt_say
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def write_results_to_file(history, file_name=None):
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"""
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将对话记录history以Markdown格式写入文件中。如果没有指定文件名,则使用当前时间生成文件名。
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@@ -52,16 +60,17 @@ def write_results_to_file(history, file_name=None):
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# file_name = time.strftime("chatGPT分析报告%Y-%m-%d-%H-%M-%S", time.localtime()) + '.md'
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file_name = 'chatGPT分析报告' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.md'
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os.makedirs('./gpt_log/', exist_ok=True)
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-
with open(f'./gpt_log/{file_name}', 'w', encoding
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f.write('# chatGPT 分析报告\n')
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for i, content in enumerate(history):
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-
if i%2==0: f.write('## ')
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f.write(content)
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f.write('\n\n')
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res = '以上材料已经被写入' + os.path.abspath(f'./gpt_log/{file_name}')
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print(res)
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return res
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def regular_txt_to_markdown(text):
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"""
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将普通文本转换为Markdown格式的文本。
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@@ -71,10 +80,12 @@ def regular_txt_to_markdown(text):
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text = text.replace('\n\n\n', '\n\n')
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return text
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def CatchException(f):
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"""
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装饰器函数,捕捉函数f中的异常并封装到一个生成器中返回,并显示到聊天当中。
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"""
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@wraps(f)
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def decorated(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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try:
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@@ -84,16 +95,21 @@ def CatchException(f):
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from toolbox import get_conf
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proxies, = get_conf('proxies')
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tb_str = regular_txt_to_markdown(traceback.format_exc())
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-
chatbot[-1] = (
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yield chatbot, history, f'异常 {e}'
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return decorated
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def report_execption(chatbot, history, a, b):
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"""
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向chatbot中添加错误信息
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"""
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chatbot.append((a, b))
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-
history.append(a);
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def text_divide_paragraph(text):
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"""
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@@ -110,15 +126,16 @@ def text_divide_paragraph(text):
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text = "</br>".join(lines)
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return text
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def markdown_convertion(txt):
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"""
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将Markdown格式的文本转换为HTML格式。如果包含数学公式,则先将公式转换为HTML格式。
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"""
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if ('$' in txt) and ('```' not in txt):
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return markdown.markdown(txt,extensions=['fenced_code','tables']) + '<br><br>' + \
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-
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else:
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-
return markdown.markdown(txt,extensions=['fenced_code','tables'])
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def format_io(self, y):
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@@ -127,9 +144,9 @@ def format_io(self, y):
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"""
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if y is None or y == []: return []
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i_ask, gpt_reply = y[-1]
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-
i_ask = text_divide_paragraph(i_ask)
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y[-1] = (
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None if i_ask is None else markdown.markdown(i_ask, extensions=['fenced_code','tables']),
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None if gpt_reply is None else markdown_convertion(gpt_reply)
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)
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return y
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@@ -151,6 +168,7 @@ def extract_archive(file_path, dest_dir):
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import zipfile
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import tarfile
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import os
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# Get the file extension of the input file
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file_extension = os.path.splitext(file_path)[1]
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@@ -164,9 +182,28 @@ def extract_archive(file_path, dest_dir):
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with tarfile.open(file_path, 'r:*') as tarobj:
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tarobj.extractall(path=dest_dir)
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print("Successfully extracted tar archive to {}".format(dest_dir))
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else:
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return
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def find_recent_files(directory):
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"""
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me: find files that is created with in one minutes under a directory with python, write a function
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@@ -193,19 +230,21 @@ def on_file_uploaded(files, chatbot, txt):
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if len(files) == 0: return chatbot, txt
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import shutil, os, time, glob
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from toolbox import extract_archive
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-
try:
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-
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time_tag = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())
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os.makedirs(f'private_upload/{time_tag}', exist_ok=True)
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for file in files:
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file_origin_name = os.path.basename(file.orig_name)
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shutil.copy(file.name, f'private_upload/{time_tag}/{file_origin_name}')
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-
extract_archive(f'private_upload/{time_tag}/{file_origin_name}',
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dest_dir=f'private_upload/{time_tag}/{file_origin_name}.extract')
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moved_files = [fp for fp in glob.glob('private_upload/**/*', recursive=True)]
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txt = f'private_upload/{time_tag}'
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moved_files_str = '\t\n\n'.join(moved_files)
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-
chatbot.append(['我上传了文件,请查收',
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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'])
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return chatbot, txt
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@@ -218,21 +257,25 @@ def on_report_generated(files, chatbot):
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chatbot.append(['汇总报告如何远程获取?', '汇总报告已经添加到右侧文件上传区,请查收。'])
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return report_files, chatbot
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def get_conf(*args):
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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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res = []
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for arg in args:
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-
try:
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-
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res.append(r)
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# 在读取API_KEY时,检查一下是不是忘了改config
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if arg=='API_KEY' and len(r) != 51:
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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。" + \
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-
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return res
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def clear_line_break(txt):
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txt = txt.replace('\n', ' ')
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txt = txt.replace(' ', ' ')
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txt = txt.replace(' ', ' ')
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-
return txt
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from show_math import convert as convert_math
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from functools import wraps
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4 |
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+
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6 |
def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[], sys_prompt=''):
|
7 |
"""
|
8 |
调用简单的predict_no_ui接口,但是依然保留了些许界面心跳功能,当对话太长时,会自动采用二分法截断
|
|
|
14 |
# 多线程的时候,需要一个mutable结构在不同线程之间传递信息
|
15 |
# list就是最简单的mutable结构,我们第一个位置放gpt输出,第二个位置传递报错信息
|
16 |
mutable = [None, '']
|
17 |
+
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18 |
# multi-threading worker
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19 |
def mt(i_say, history):
|
20 |
while True:
|
21 |
try:
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22 |
+
mutable[0] = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history,
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+
sys_prompt=sys_prompt)
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break
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25 |
except ConnectionAbortedError as e:
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26 |
if len(history) > 0:
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+
history = [his[len(his) // 2:] for his in history if his is not None]
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mutable[1] = 'Warning! History conversation is too long, cut into half. '
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29 |
else:
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+
i_say = i_say[:len(i_say) // 2]
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31 |
mutable[1] = 'Warning! Input file is too long, cut into half. '
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32 |
except TimeoutError as e:
|
33 |
mutable[0] = '[Local Message] Failed with timeout.'
|
34 |
raise TimeoutError
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35 |
+
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36 |
# 创建新线程发出http请求
|
37 |
+
thread_name = threading.Thread(target=mt, args=(i_say, history));
|
38 |
+
thread_name.start()
|
39 |
# 原来的线程则负责持续更新UI,实现一个超时倒计时,并等待新线程的任务完成
|
40 |
cnt = 0
|
41 |
while thread_name.is_alive():
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cnt += 1
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+
chatbot[-1] = (i_say_show_user,
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+
f"[Local Message] {mutable[1]}waiting gpt response {cnt}/{TIMEOUT_SECONDS * 2 * (MAX_RETRY + 1)}" + ''.join(
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+
['.'] * (cnt % 4)))
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yield chatbot, history, '正常'
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47 |
time.sleep(1)
|
48 |
# 把gpt的输出从mutable中取出来
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49 |
gpt_say = mutable[0]
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50 |
+
if gpt_say == '[Local Message] Failed with timeout.': raise TimeoutError
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51 |
return gpt_say
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52 |
|
53 |
+
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54 |
def write_results_to_file(history, file_name=None):
|
55 |
"""
|
56 |
将对话记录history以Markdown格式写入文件中。如果没有指定文件名,则使用当前时间生成文件名。
|
|
|
60 |
# file_name = time.strftime("chatGPT分析报告%Y-%m-%d-%H-%M-%S", time.localtime()) + '.md'
|
61 |
file_name = 'chatGPT分析报告' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.md'
|
62 |
os.makedirs('./gpt_log/', exist_ok=True)
|
63 |
+
with open(f'./gpt_log/{file_name}', 'w', encoding='utf8') as f:
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64 |
f.write('# chatGPT 分析报告\n')
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65 |
for i, content in enumerate(history):
|
66 |
+
if i % 2 == 0: f.write('## ')
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67 |
f.write(content)
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68 |
f.write('\n\n')
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69 |
res = '以上材料已经被写入' + os.path.abspath(f'./gpt_log/{file_name}')
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70 |
print(res)
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71 |
return res
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72 |
|
73 |
+
|
74 |
def regular_txt_to_markdown(text):
|
75 |
"""
|
76 |
将普通文本转换为Markdown格式的文本。
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|
80 |
text = text.replace('\n\n\n', '\n\n')
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81 |
return text
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82 |
|
83 |
+
|
84 |
def CatchException(f):
|
85 |
"""
|
86 |
装饰器函数,捕捉函数f中的异常并封装到一个生成器中返回,并显示到聊天当中。
|
87 |
"""
|
88 |
+
|
89 |
@wraps(f)
|
90 |
def decorated(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
|
91 |
try:
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|
95 |
from toolbox import get_conf
|
96 |
proxies, = get_conf('proxies')
|
97 |
tb_str = regular_txt_to_markdown(traceback.format_exc())
|
98 |
+
chatbot[-1] = (
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99 |
+
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)}")
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100 |
yield chatbot, history, f'异常 {e}'
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101 |
+
|
102 |
return decorated
|
103 |
|
104 |
+
|
105 |
def report_execption(chatbot, history, a, b):
|
106 |
"""
|
107 |
向chatbot中添加错误信息
|
108 |
"""
|
109 |
chatbot.append((a, b))
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110 |
+
history.append(a);
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111 |
+
history.append(b)
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112 |
+
|
113 |
|
114 |
def text_divide_paragraph(text):
|
115 |
"""
|
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|
126 |
text = "</br>".join(lines)
|
127 |
return text
|
128 |
|
129 |
+
|
130 |
def markdown_convertion(txt):
|
131 |
"""
|
132 |
将Markdown格式的文本转换为HTML格式。如果包含数学公式,则先将公式转换为HTML格式。
|
133 |
"""
|
134 |
if ('$' in txt) and ('```' not in txt):
|
135 |
+
return markdown.markdown(txt, extensions=['fenced_code', 'tables']) + '<br><br>' + \
|
136 |
+
markdown.markdown(convert_math(txt, splitParagraphs=False), extensions=['fenced_code', 'tables'])
|
137 |
else:
|
138 |
+
return markdown.markdown(txt, extensions=['fenced_code', 'tables'])
|
139 |
|
140 |
|
141 |
def format_io(self, y):
|
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|
144 |
"""
|
145 |
if y is None or y == []: return []
|
146 |
i_ask, gpt_reply = y[-1]
|
147 |
+
i_ask = text_divide_paragraph(i_ask) # 输入部分太自由,预处理一波
|
148 |
y[-1] = (
|
149 |
+
None if i_ask is None else markdown.markdown(i_ask, extensions=['fenced_code', 'tables']),
|
150 |
None if gpt_reply is None else markdown_convertion(gpt_reply)
|
151 |
)
|
152 |
return y
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|
168 |
import zipfile
|
169 |
import tarfile
|
170 |
import os
|
171 |
+
|
172 |
# Get the file extension of the input file
|
173 |
file_extension = os.path.splitext(file_path)[1]
|
174 |
|
|
|
182 |
with tarfile.open(file_path, 'r:*') as tarobj:
|
183 |
tarobj.extractall(path=dest_dir)
|
184 |
print("Successfully extracted tar archive to {}".format(dest_dir))
|
185 |
+
|
186 |
+
elif file_extension == '.rar':
|
187 |
+
# 这是个第三方库,需要预先pip install rarfile
|
188 |
+
# 此外,Windows上还需要安装winrar软件,配置其Path环境变量,如"C:\Program Files\WinRAR"才可以正常运行
|
189 |
+
try:
|
190 |
+
import rarfile
|
191 |
+
with rarfile.RarFile(file_path) as rf:
|
192 |
+
rf.extractall(path=dest_dir)
|
193 |
+
print("Successfully extracted rar archive to {}".format(dest_dir))
|
194 |
+
except:
|
195 |
+
print("rar格式需要安装额外依赖")
|
196 |
+
elif file_extension == '.7z':
|
197 |
+
try:
|
198 |
+
import py7zr
|
199 |
+
with py7zr.SevenZipFile(file_path, mode='r') as f:
|
200 |
+
f.extractall(path=dest_dir)
|
201 |
+
except:
|
202 |
+
print("7z格式需要安装额外依赖")
|
203 |
else:
|
204 |
return
|
205 |
|
206 |
+
|
207 |
def find_recent_files(directory):
|
208 |
"""
|
209 |
me: find files that is created with in one minutes under a directory with python, write a function
|
|
|
230 |
if len(files) == 0: return chatbot, txt
|
231 |
import shutil, os, time, glob
|
232 |
from toolbox import extract_archive
|
233 |
+
try:
|
234 |
+
shutil.rmtree('./private_upload/')
|
235 |
+
except:
|
236 |
+
pass
|
237 |
time_tag = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())
|
238 |
os.makedirs(f'private_upload/{time_tag}', exist_ok=True)
|
239 |
for file in files:
|
240 |
file_origin_name = os.path.basename(file.orig_name)
|
241 |
shutil.copy(file.name, f'private_upload/{time_tag}/{file_origin_name}')
|
242 |
+
extract_archive(f'private_upload/{time_tag}/{file_origin_name}',
|
243 |
dest_dir=f'private_upload/{time_tag}/{file_origin_name}.extract')
|
244 |
moved_files = [fp for fp in glob.glob('private_upload/**/*', recursive=True)]
|
245 |
txt = f'private_upload/{time_tag}'
|
246 |
moved_files_str = '\t\n\n'.join(moved_files)
|
247 |
+
chatbot.append(['我上传了文件,请查收',
|
248 |
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'])
|
249 |
return chatbot, txt
|
250 |
|
|
|
257 |
chatbot.append(['汇总报告如何远程获取?', '汇总报告已经添加到右侧文件上传区,请查收。'])
|
258 |
return report_files, chatbot
|
259 |
|
260 |
+
|
261 |
def get_conf(*args):
|
262 |
# 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
|
263 |
res = []
|
264 |
for arg in args:
|
265 |
+
try:
|
266 |
+
r = getattr(importlib.import_module('config_private'), arg)
|
267 |
+
except:
|
268 |
+
r = getattr(importlib.import_module('config'), arg)
|
269 |
res.append(r)
|
270 |
# 在读取API_KEY时,检查一下是不是忘了改config
|
271 |
+
if arg == 'API_KEY' and len(r) != 51:
|
272 |
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。" + \
|
273 |
+
"(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)"
|
274 |
return res
|
275 |
|
276 |
+
|
277 |
def clear_line_break(txt):
|
278 |
txt = txt.replace('\n', ' ')
|
279 |
txt = txt.replace(' ', ' ')
|
280 |
txt = txt.replace(' ', ' ')
|
281 |
+
return txt
|