int/gpt_academic
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镜像自地址 https://github.com/binary-husky/gpt_academic.git 已同步 2025-12-06 06:26:47 +00:00
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typo: Fix typos and rename functions across multiple files (#2130)

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* typo: Fix typos and rename functions across multiple files

This commit addresses several minor issues:
- Corrected spelling of function names (e.g., `update_ui_lastest_msg` to `update_ui_latest_msg`)
- Fixed typos in comments and variable names
- Corrected capitalization in some strings (e.g., "ArXiv" instead of "Arixv")
- Renamed some variables for consistency
- Corrected some console-related parameter names (e.g., `console_slience` to `console_silence`)

The changes span multiple files across the project, including request LLM bridges, crazy functions, and utility modules.

* fix: f-string expression part cannot include a backslash (#2139)

* raise error when the uploaded tar contain hard/soft link (#2136)

* minor bug fix

* fine tune reasoning css

* upgrade internet gpt plugin

* Update README.md

* fix GHSA-gqp5-wm97-qxcv

* typo fix

* update readme

---------

Co-authored-by: binary-husky <96192199+binary-husky@users.noreply.github.com>
Co-authored-by: binary-husky <qingxu.fu@outlook.com>
这个提交包含在：
Steven Moder
2025-03-02 02:16:10 +08:00
提交者 GitHub
父节点 5dffe8627f
当前提交 4a79aa6a93
共有 74 个文件被更改，包括 325 次插入 和 325 次删除
下载 Patch 文件 下载 Diff 文件 展开所有文件 折叠所有文件

26
crazy_functions/VideoResource_GPT.py
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@@ -7,7 +7,7 @@ from bs4 import BeautifulSoup
from functools import lru_cache
from itertools import zip_longest
from check_proxy import check_proxy
from toolbox import CatchException, update_ui, get_conf, promote_file_to_downloadzone, update_ui_lastest_msg, generate_file_link
from toolbox import CatchException, update_ui, get_conf, promote_file_to_downloadzone, update_ui_latest_msg, generate_file_link
from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, input_clipping
from request_llms.bridge_all import model_info
from request_llms.bridge_all import predict_no_ui_long_connection
@@ -46,7 +46,7 @@ def download_video(bvid, user_name, chatbot, history):
# pause a while
tic_time = 8
for i in range(tic_time):
yield from update_ui_lastest_msg(
yield from update_ui_latest_msg(
lastmsg=f"即将下载音频。等待{tic_time-i}秒后自动继续, 点击“停止”键取消此操作。",
chatbot=chatbot, history=[], delay=1)
@@ -61,13 +61,13 @@ def download_video(bvid, user_name, chatbot, history):
# preview
preview_list = [promote_file_to_downloadzone(fp) for fp in downloaded_files]
file_links = generate_file_link(preview_list)
yield from update_ui_lastest_msg(f"已完成的文件: <br/>" + file_links, chatbot=chatbot, history=history, delay=0)
yield from update_ui_latest_msg(f"已完成的文件: <br/>" + file_links, chatbot=chatbot, history=history, delay=0)
chatbot.append((None, f"即将下载视频。"))
# pause a while
tic_time = 16
for i in range(tic_time):
yield from update_ui_lastest_msg(
yield from update_ui_latest_msg(
lastmsg=f"即将下载视频。等待{tic_time-i}秒后自动继续, 点击“停止”键取消此操作。",
chatbot=chatbot, history=[], delay=1)
@@ -78,7 +78,7 @@ def download_video(bvid, user_name, chatbot, history):
# preview
preview_list = [promote_file_to_downloadzone(fp) for fp in downloaded_files_part2]
file_links = generate_file_link(preview_list)
yield from update_ui_lastest_msg(f"已完成的文件: <br/>" + file_links, chatbot=chatbot, history=history, delay=0)
yield from update_ui_latest_msg(f"已完成的文件: <br/>" + file_links, chatbot=chatbot, history=history, delay=0)
# return
return downloaded_files + downloaded_files_part2
@@ -110,7 +110,7 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
# 结构化生成
internet_search_keyword = user_wish
yield from update_ui_lastest_msg(lastmsg=f"发起互联网检索: {internet_search_keyword} ...", chatbot=chatbot, history=[], delay=1)
yield from update_ui_latest_msg(lastmsg=f"发起互联网检索: {internet_search_keyword} ...", chatbot=chatbot, history=[], delay=1)
from crazy_functions.Internet_GPT import internet_search_with_analysis_prompt
result = yield from internet_search_with_analysis_prompt(
prompt=internet_search_keyword,
@@ -119,7 +119,7 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
chatbot=chatbot
)
yield from update_ui_lastest_msg(lastmsg=f"互联网检索结论: {result} \n\n 正在生成进一步检索方案 ...", chatbot=chatbot, history=[], delay=1)
yield from update_ui_latest_msg(lastmsg=f"互联网检索结论: {result} \n\n 正在生成进一步检索方案 ...", chatbot=chatbot, history=[], delay=1)
rf_req = dedent(f"""
The user wish to get the following resource:
{user_wish}
@@ -132,7 +132,7 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
rf_req = dedent(f"""
The user wish to get the following resource:
{user_wish}
Generate reseach keywords (less than 5 keywords) accordingly.
Generate research keywords (less than 5 keywords) accordingly.
""")
gpt_json_io = GptJsonIO(Query)
inputs = rf_req + gpt_json_io.format_instructions
@@ -146,12 +146,12 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
# 获取候选资源
candadate_dictionary: dict = get_video_resource(video_engine_keywords)
candadate_dictionary_as_str = json.dumps(candadate_dictionary, ensure_ascii=False, indent=4)
candidate_dictionary: dict = get_video_resource(video_engine_keywords)
candidate_dictionary_as_str = json.dumps(candidate_dictionary, ensure_ascii=False, indent=4)
# 展示候选资源
candadate_display = "\n".join([f"{i+1}. {it['title']}" for i, it in enumerate(candadate_dictionary)])
chatbot.append((None, f"候选:\n\n{candadate_display}"))
candidate_display = "\n".join([f"{i+1}. {it['title']}" for i, it in enumerate(candidate_dictionary)])
chatbot.append((None, f"候选:\n\n{candidate_display}"))
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
# 结构化生成
@@ -160,7 +160,7 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
{user_wish}
Select the most relevant and suitable video resource from the following search results:
{candadate_dictionary_as_str}
{candidate_dictionary_as_str}
Note:
1. The first several search video results are more likely to satisfy the user's wish.