Spaces:
Running
Running
File size: 6,215 Bytes
e200709 17d0a32 f8946c1 e200709 17d0a32 e200709 c46a8d2 13342c2 e200709 13342c2 e200709 880be21 e200709 880be21 e200709 880be21 f8946c1 880be21 e200709 9d9df8a e200709 17d0a32 e200709 17d0a32 e200709 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 |
from toolbox import update_ui
from toolbox import CatchException, report_exception
from toolbox import write_history_to_file, promote_file_to_downloadzone
fast_debug = True
class PaperFileGroup():
def __init__(self):
self.file_paths = []
self.file_contents = []
self.sp_file_contents = []
self.sp_file_index = []
self.sp_file_tag = []
# count_token
from request_llms.bridge_all import model_info
enc = model_info["gpt-3.5-turbo"]['tokenizer']
def get_token_num(txt): return len(
enc.encode(txt, disallowed_special=()))
self.get_token_num = get_token_num
def run_file_split(self, max_token_limit=1900):
"""
将长文本分离开来
"""
for index, file_content in enumerate(self.file_contents):
if self.get_token_num(file_content) < max_token_limit:
self.sp_file_contents.append(file_content)
self.sp_file_index.append(index)
self.sp_file_tag.append(self.file_paths[index])
else:
from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
segments = breakdown_txt_to_satisfy_token_limit_for_pdf(
file_content, self.get_token_num, max_token_limit)
for j, segment in enumerate(segments):
self.sp_file_contents.append(segment)
self.sp_file_index.append(index)
self.sp_file_tag.append(
self.file_paths[index] + f".part-{j}.txt")
def parseNotebook(filename, enable_markdown=1):
import json
CodeBlocks = []
with open(filename, 'r', encoding='utf-8', errors='replace') as f:
notebook = json.load(f)
for cell in notebook['cells']:
if cell['cell_type'] == 'code' and cell['source']:
# remove blank lines
cell['source'] = [line for line in cell['source'] if line.strip()
!= '']
CodeBlocks.append("".join(cell['source']))
elif enable_markdown and cell['cell_type'] == 'markdown' and cell['source']:
cell['source'] = [line for line in cell['source'] if line.strip()
!= '']
CodeBlocks.append("Markdown:"+"".join(cell['source']))
Code = ""
for idx, code in enumerate(CodeBlocks):
Code += f"This is {idx+1}th code block: \n"
Code += code+"\n"
return Code
def ipynb解释(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
from .crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
enable_markdown = plugin_kwargs.get("advanced_arg", "1")
try:
enable_markdown = int(enable_markdown)
except ValueError:
enable_markdown = 1
pfg = PaperFileGroup()
for fp in file_manifest:
file_content = parseNotebook(fp, enable_markdown=enable_markdown)
pfg.file_paths.append(fp)
pfg.file_contents.append(file_content)
# <-------- 拆分过长的IPynb文件 ---------->
pfg.run_file_split(max_token_limit=1024)
n_split = len(pfg.sp_file_contents)
inputs_array = [r"This is a Jupyter Notebook file, tell me about Each Block in Chinese. Focus Just On Code." +
r"If a block starts with `Markdown` which means it's a markdown block in ipynbipynb. " +
r"Start a new line for a block and block num use Chinese." +
f"\n\n{frag}" for frag in pfg.sp_file_contents]
inputs_show_user_array = [f"{f}的分析如下" for f in pfg.sp_file_tag]
sys_prompt_array = ["You are a professional programmer."] * n_split
gpt_response_collection = yield from request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
inputs_array=inputs_array,
inputs_show_user_array=inputs_show_user_array,
llm_kwargs=llm_kwargs,
chatbot=chatbot,
history_array=[[""] for _ in range(n_split)],
sys_prompt_array=sys_prompt_array,
# max_workers=5, # OpenAI所允许的最大并行过载
scroller_max_len=80
)
# <-------- 整理结果，退出 ---------->
block_result = " \n".join(gpt_response_collection)
chatbot.append(("解析的结果如下", block_result))
history.extend(["解析的结果如下", block_result])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
# <-------- 写入文件，退出 ---------->
res = write_history_to_file(history)
promote_file_to_downloadzone(res, chatbot=chatbot)
chatbot.append(("完成了吗？", res))
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
@CatchException
def 解析ipynb文件(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
chatbot.append([
"函数插件功能？",
"对IPynb文件进行解析。Contributor: codycjy."])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
history = [] # 清空历史
import glob
import os
if os.path.exists(txt):
project_folder = txt
else:
if txt == "":
txt = '空空如也的输入栏'
report_exception(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 from update_ui(chatbot=chatbot, history=history) # 刷新界面
return
if txt.endswith('.ipynb'):
file_manifest = [txt]
else:
file_manifest = [f for f in glob.glob(
f'{project_folder}/**/*.ipynb', recursive=True)]
if len(file_manifest) == 0:
report_exception(chatbot, history,
a=f"解析项目: {txt}", b=f"找不到任何.ipynb文件: {txt}")
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
return
yield from ipynb解释(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, )
|