比较提交

..

18 次代码提交

作者 SHA1 备注 提交日期
binary-husky
7415d532d1 solve the pdf concate error 2024-10-13 07:36:36 +00:00
binary-husky
97eef45ab7 Merge branch 'frontier' of github.com:binary-husky/chatgpt_academic into frontier 2024-10-01 11:59:14 +00:00
binary-husky
0c0e2acb9b remove logging extra 2024-10-01 11:57:47 +00:00
Ren Lifei
9fba8e0142 Added some modules to support openrouter (#1975)
* Added some modules for supporting openrouter model

Added some modules for supporting openrouter model

* Update config.py

* Update .gitignore

* Update bridge_openrouter.py

* Not changed actually

* Refactor logging in bridge_openrouter.py

---------

Co-authored-by: binary-husky <qingxu.fu@outlook.com>
2024-09-28 18:05:34 +08:00
binary-husky
7d7867fb64 remove comment 2024-09-23 15:16:13 +00:00
binary-husky
f9dbaa39fb Merge branch 'frontier' of github.com:binary-husky/chatgpt_academic into frontier 2024-09-21 15:40:24 +00:00
binary-husky
bbc2288c5b relax llama index version 2024-09-21 15:40:10 +00:00
Steven Moder
64ab916838 fix: loguru argument error with proxy enabled (#1977) 2024-09-21 23:32:00 +08:00
binary-husky
8fe559da9f update translation matrix 2024-09-21 14:56:10 +00:00
binary-husky
09fd22091a fix: console output 2024-09-21 14:41:36 +00:00
binary-husky
e296719b23 Merge branch 'purge_print' into frontier 2024-09-16 09:56:25 +00:00
binary-husky
2f343179a2 logging -> loguru: final stage 2024-09-15 15:51:51 +00:00
binary-husky
4d9604f2e9 update social helper 2024-09-15 15:16:36 +00:00
binary-husky
bbf9e9f868 logging -> loguru stage 4 2024-09-14 16:00:09 +00:00
binary-husky
aa1f967dd7 support o1-preview and o1-mini 2024-09-13 03:11:53 +00:00
binary-husky
0d082327c8 logging -> loguru: stage 3 2024-09-11 08:49:55 +00:00
binary-husky
80acd9c875 import loguru: stage 2 2024-09-11 08:18:01 +00:00
binary-husky
17cd4f8210 logging sys to loguru: stage 1 complete 2024-09-11 03:30:30 +00:00
共有 15 个文件被更改,包括 203 次插入345 次删除

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@@ -1,14 +1,14 @@
# https://docs.github.com/en/actions/publishing-packages/publishing-docker-images#publishing-images-to-github-packages
name: build-with-latex-arm
name: build-with-all-capacity-beta
on:
push:
branches:
- "master"
- 'master'
env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}_with_latex_arm
IMAGE_NAME: ${{ github.repository }}_with_all_capacity_beta
jobs:
build-and-push-image:
@@ -18,17 +18,11 @@ jobs:
packages: write
steps:
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Checkout repository
uses: actions/checkout@v4
uses: actions/checkout@v3
- name: Log in to the Container registry
uses: docker/login-action@v3
uses: docker/login-action@v2
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
@@ -41,11 +35,10 @@ jobs:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
- name: Build and push Docker image
uses: docker/build-push-action@v6
uses: docker/build-push-action@v4
with:
context: .
push: true
platforms: linux/arm64
file: docs/GithubAction+NoLocal+Latex+Arm
file: docs/GithubAction+AllCapacityBeta
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
labels: ${{ steps.meta.outputs.labels }}

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@@ -0,0 +1,44 @@
# https://docs.github.com/en/actions/publishing-packages/publishing-docker-images#publishing-images-to-github-packages
name: build-with-jittorllms
on:
push:
branches:
- 'master'
env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}_jittorllms
jobs:
build-and-push-image:
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
steps:
- name: Checkout repository
uses: actions/checkout@v3
- name: Log in to the Container registry
uses: docker/login-action@v2
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract metadata (tags, labels) for Docker
id: meta
uses: docker/metadata-action@v4
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
- name: Build and push Docker image
uses: docker/build-push-action@v4
with:
context: .
push: true
file: docs/GithubAction+JittorLLMs
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}

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@@ -1,6 +1,5 @@
> [!IMPORTANT]
> 2024.10.10: 突发停电,紧急恢复了提供[whl包](https://drive.google.com/file/d/19U_hsLoMrjOlQSzYS3pzWX9fTzyusArP/view?usp=sharing)的文件服务器
> 2024.10.8: 版本3.90加入对llama-index的初步支持,版本3.80加入插件二级菜单功能详见wiki
> 2024.6.1: 版本3.80加入插件二级菜单功能详见wiki
> 2024.5.1: 加入Doc2x翻译PDF论文的功能,[查看详情](https://github.com/binary-husky/gpt_academic/wiki/Doc2x)
> 2024.3.11: 全力支持Qwen、GLM、DeepseekCoder等中文大语言模型 SoVits语音克隆模块,[查看详情](https://www.bilibili.com/video/BV1Rp421S7tF/)
> 2024.1.17: 安装依赖时,请选择`requirements.txt`中**指定的版本**。 安装命令:`pip install -r requirements.txt`。本项目完全开源免费,您可通过订阅[在线服务](https://github.com/binary-husky/gpt_academic/wiki/online)的方式鼓励本项目的发展。

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@@ -6,6 +6,7 @@ from loguru import logger
def get_crazy_functions():
from crazy_functions.读文章写摘要 import 读文章写摘要
from crazy_functions.生成函数注释 import 批量生成函数注释
from crazy_functions.Rag_Interface import Rag问答
from crazy_functions.SourceCode_Analyse import 解析项目本身
from crazy_functions.SourceCode_Analyse import 解析一个Python项目
from crazy_functions.SourceCode_Analyse import 解析一个Matlab项目
@@ -51,6 +52,13 @@ def get_crazy_functions():
from crazy_functions.SourceCode_Comment import 注释Python项目
function_plugins = {
"Rag智能召回": {
"Group": "对话",
"Color": "stop",
"AsButton": False,
"Info": "将问答数据记录到向量库中,作为长期参考。",
"Function": HotReload(Rag问答),
},
"虚空终端": {
"Group": "对话|编程|学术|智能体",
"Color": "stop",
@@ -699,31 +707,6 @@ def get_crazy_functions():
logger.error(trimmed_format_exc())
logger.error("Load function plugin failed")
try:
from crazy_functions.Rag_Interface import Rag问答
function_plugins.update(
{
"Rag智能召回": {
"Group": "对话",
"Color": "stop",
"AsButton": False,
"Info": "将问答数据记录到向量库中,作为长期参考。",
"Function": HotReload(Rag问答),
},
}
)
except:
logger.error(trimmed_format_exc())
logger.error("Load function plugin failed")
# try:
# from crazy_functions.高级功能函数模板 import 测试图表渲染
# function_plugins.update({

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@@ -138,43 +138,25 @@ def arxiv_download(chatbot, history, txt, allow_cache=True):
cached_translation_pdf = check_cached_translation_pdf(arxiv_id)
if cached_translation_pdf and allow_cache: return cached_translation_pdf, arxiv_id
extract_dst = pj(ARXIV_CACHE_DIR, arxiv_id, 'extract')
url_tar = url_.replace('/abs/', '/e-print/')
translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'e-print')
dst = pj(translation_dir, arxiv_id + '.tar')
extract_dst = pj(ARXIV_CACHE_DIR, arxiv_id, 'extract')
os.makedirs(translation_dir, exist_ok=True)
# <-------------- download arxiv source file ------------->
def fix_url_and_download():
# for url_tar in [url_.replace('/abs/', '/e-print/'), url_.replace('/abs/', '/src/')]:
for url_tar in [url_.replace('/abs/', '/src/'), url_.replace('/abs/', '/e-print/')]:
proxies = get_conf('proxies')
r = requests.get(url_tar, proxies=proxies)
if r.status_code == 200:
with open(dst, 'wb+') as f:
f.write(r.content)
return True
return False
if os.path.exists(dst) and allow_cache:
yield from update_ui_lastest_msg(f"调用缓存 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
success = True
dst = pj(translation_dir, arxiv_id + '.tar')
if os.path.exists(dst):
yield from update_ui_lastest_msg("调用缓存", chatbot=chatbot, history=history) # 刷新界面
else:
yield from update_ui_lastest_msg(f"开始下载 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
success = fix_url_and_download()
yield from update_ui_lastest_msg(f"下载完成 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
if not success:
yield from update_ui_lastest_msg(f"下载失败 {arxiv_id}", chatbot=chatbot, history=history)
raise tarfile.ReadError(f"论文下载失败 {arxiv_id}")
yield from update_ui_lastest_msg("开始下载", chatbot=chatbot, history=history) # 刷新界面
proxies = get_conf('proxies')
r = requests.get(url_tar, proxies=proxies)
with open(dst, 'wb+') as f:
f.write(r.content)
# <-------------- extract file ------------->
yield from update_ui_lastest_msg("下载完成", chatbot=chatbot, history=history) # 刷新界面
from toolbox import extract_archive
try:
extract_archive(file_path=dst, dest_dir=extract_dst)
except tarfile.ReadError:
os.remove(dst)
raise tarfile.ReadError(f"论文下载失败")
extract_archive(file_path=dst, dest_dir=extract_dst)
return extract_dst, arxiv_id

查看文件

@@ -2,7 +2,20 @@ from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_
from crazy_functions.crazy_utils import input_clipping
from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
VECTOR_STORE_TYPE = "Milvus"
if VECTOR_STORE_TYPE == "Milvus":
try:
from crazy_functions.rag_fns.milvus_worker import MilvusRagWorker as LlamaIndexRagWorker
except:
VECTOR_STORE_TYPE = "Simple"
if VECTOR_STORE_TYPE == "Simple":
from crazy_functions.rag_fns.llama_index_worker import LlamaIndexRagWorker
RAG_WORKER_REGISTER = {}
MAX_HISTORY_ROUND = 5
MAX_CONTEXT_TOKEN_LIMIT = 4096
REMEMBER_PREVIEW = 1000
@@ -10,16 +23,6 @@ REMEMBER_PREVIEW = 1000
@CatchException
def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
# import vector store lib
VECTOR_STORE_TYPE = "Milvus"
if VECTOR_STORE_TYPE == "Milvus":
try:
from crazy_functions.rag_fns.milvus_worker import MilvusRagWorker as LlamaIndexRagWorker
except:
VECTOR_STORE_TYPE = "Simple"
if VECTOR_STORE_TYPE == "Simple":
from crazy_functions.rag_fns.llama_index_worker import LlamaIndexRagWorker
# 1. we retrieve rag worker from global context
user_name = chatbot.get_user()
checkpoint_dir = get_log_folder(user_name, plugin_name='experimental_rag')

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@@ -644,17 +644,8 @@ def run_in_subprocess(func):
def _merge_pdfs(pdf1_path, pdf2_path, output_path):
try:
logger.info("Merging PDFs using _merge_pdfs_ng")
_merge_pdfs_ng(pdf1_path, pdf2_path, output_path)
except:
logger.info("Merging PDFs using _merge_pdfs_legacy")
_merge_pdfs_legacy(pdf1_path, pdf2_path, output_path)
def _merge_pdfs_ng(pdf1_path, pdf2_path, output_path):
import PyPDF2 # PyPDF2这个库有严重的内存泄露问题,把它放到子进程中运行,从而方便内存的释放
from PyPDF2.generic import NameObject, TextStringObject, ArrayObject, FloatObject, NumberObject
from PyPDF2.generic import NameObject, TextStringObject,ArrayObject,FloatObject,NumberObject
Percent = 1
# raise RuntimeError('PyPDF2 has a serious memory leak problem, please use other tools to merge PDF files.')
@@ -697,206 +688,65 @@ def _merge_pdfs_ng(pdf1_path, pdf2_path, output_path):
),
0,
)
if "/Annots" in new_page:
annotations = new_page["/Annots"]
if '/Annots' in page1:
page1_annot_id = [annot.idnum for annot in page1['/Annots']]
else:
page1_annot_id = []
if '/Annots' in page2:
page2_annot_id = [annot.idnum for annot in page2['/Annots']]
else:
page2_annot_id = []
if '/Annots' in new_page:
annotations = new_page['/Annots']
for i, annot in enumerate(annotations):
annot_obj = annot.get_object()
# 检查注释类型是否是链接(/Link
if annot_obj.get("/Subtype") == "/Link":
if annot_obj.get('/Subtype') == '/Link':
# 检查是否为内部链接跳转(/GoTo或外部URI链接/URI
action = annot_obj.get("/A")
action = annot_obj.get('/A')
if action:
if "/S" in action and action["/S"] == "/GoTo":
if '/S' in action and action['/S'] == '/GoTo':
# 内部链接:跳转到文档中的某个页面
dest = action.get("/D") # 目标页或目标位置
# if dest and annot.idnum in page2_annot_id:
# if dest in pdf2_reader.named_destinations:
if dest and page2.annotations:
if annot in page2.annotations:
# 获取原始文件中跳转信息,包括跳转页面
destination = pdf2_reader.named_destinations[
dest
]
page_number = (
pdf2_reader.get_destination_page_number(
destination
)
)
# 更新跳转信息,跳转到对应的页面和,指定坐标 (100, 150),缩放比例为 100%
# “/D”:[10,'/XYZ',100,100,0]
if destination.dest_array[1] == "/XYZ":
annot_obj["/A"].update(
{
NameObject("/D"): ArrayObject(
[
NumberObject(page_number),
destination.dest_array[1],
FloatObject(
destination.dest_array[
2
]
+ int(
page1.mediaBox.getWidth()
)
),
destination.dest_array[3],
destination.dest_array[4],
]
) # 确保键和值是 PdfObject
}
)
else:
annot_obj["/A"].update(
{
NameObject("/D"): ArrayObject(
[
NumberObject(page_number),
destination.dest_array[1],
]
) # 确保键和值是 PdfObject
}
)
dest = action.get('/D') # 目标页或目标位置
if dest and annot.idnum in page2_annot_id:
# 获取原始文件中跳转信息,包括跳转页面
destination = pdf2_reader.named_destinations[dest]
page_number = pdf2_reader.get_destination_page_number(destination)
#更新跳转信息,跳转到对应的页面和,指定坐标 (100, 150),缩放比例为 100%
#“/D”:[10,'/XYZ',100,100,0]
annot_obj['/A'].update({
NameObject("/D"): ArrayObject([NumberObject(page_number),destination.dest_array[1], FloatObject(destination.dest_array[2] + int(page1.mediaBox.getWidth())) ,destination.dest_array[3],destination.dest_array[4]]) # 确保键和值是 PdfObject
})
rect = annot_obj.get('/Rect')
# 更新点击坐标
rect = ArrayObject([FloatObject(rect[0]+ int(page1.mediaBox.getWidth())),rect[1],
FloatObject(rect[2]+int(page1.mediaBox.getWidth())),rect[3] ])
annot_obj.update({
NameObject("/Rect"): rect # 确保键和值是 PdfObject
})
if dest and annot.idnum in page1_annot_id:
# 获取原始文件中跳转信息,包括跳转页面
destination = pdf1_reader.named_destinations[dest]
page_number = pdf1_reader.get_destination_page_number(destination)
#更新跳转信息,跳转到对应的页面和,指定坐标 (100, 150),缩放比例为 100%
#“/D”:[10,'/XYZ',100,100,0]
annot_obj['/A'].update({
NameObject("/D"): ArrayObject([NumberObject(page_number),destination.dest_array[1], FloatObject(destination.dest_array[2]) ,destination.dest_array[3],destination.dest_array[4]]) # 确保键和值是 PdfObject
})
rect = annot_obj.get('/Rect')
rect = ArrayObject([FloatObject(rect[0]),rect[1],
FloatObject(rect[2]),rect[3] ])
annot_obj.update({
NameObject("/Rect"): rect # 确保键和值是 PdfObject
})
rect = annot_obj.get("/Rect")
# 更新点击坐标
rect = ArrayObject(
[
FloatObject(
rect[0]
+ int(page1.mediaBox.getWidth())
),
rect[1],
FloatObject(
rect[2]
+ int(page1.mediaBox.getWidth())
),
rect[3],
]
)
annot_obj.update(
{
NameObject(
"/Rect"
): rect # 确保键和值是 PdfObject
}
)
# if dest and annot.idnum in page1_annot_id:
# if dest in pdf1_reader.named_destinations:
if dest and page1.annotations:
if annot in page1.annotations:
# 获取原始文件中跳转信息,包括跳转页面
destination = pdf1_reader.named_destinations[
dest
]
page_number = (
pdf1_reader.get_destination_page_number(
destination
)
)
# 更新跳转信息,跳转到对应的页面和,指定坐标 (100, 150),缩放比例为 100%
# “/D”:[10,'/XYZ',100,100,0]
if destination.dest_array[1] == "/XYZ":
annot_obj["/A"].update(
{
NameObject("/D"): ArrayObject(
[
NumberObject(page_number),
destination.dest_array[1],
FloatObject(
destination.dest_array[
2
]
),
destination.dest_array[3],
destination.dest_array[4],
]
) # 确保键和值是 PdfObject
}
)
else:
annot_obj["/A"].update(
{
NameObject("/D"): ArrayObject(
[
NumberObject(page_number),
destination.dest_array[1],
]
) # 确保键和值是 PdfObject
}
)
rect = annot_obj.get("/Rect")
rect = ArrayObject(
[
FloatObject(rect[0]),
rect[1],
FloatObject(rect[2]),
rect[3],
]
)
annot_obj.update(
{
NameObject(
"/Rect"
): rect # 确保键和值是 PdfObject
}
)
elif "/S" in action and action["/S"] == "/URI":
elif '/S' in action and action['/S'] == '/URI':
# 外部链接跳转到某个URI
uri = action.get("/URI")
uri = action.get('/URI')
output_writer.addPage(new_page)
# Save the merged PDF file
with open(output_path, "wb") as output_file:
output_writer.write(output_file)
def _merge_pdfs_legacy(pdf1_path, pdf2_path, output_path):
import PyPDF2 # PyPDF2这个库有严重的内存泄露问题,把它放到子进程中运行,从而方便内存的释放
Percent = 0.95
# raise RuntimeError('PyPDF2 has a serious memory leak problem, please use other tools to merge PDF files.')
# Open the first PDF file
with open(pdf1_path, "rb") as pdf1_file:
pdf1_reader = PyPDF2.PdfFileReader(pdf1_file)
# Open the second PDF file
with open(pdf2_path, "rb") as pdf2_file:
pdf2_reader = PyPDF2.PdfFileReader(pdf2_file)
# Create a new PDF file to store the merged pages
output_writer = PyPDF2.PdfFileWriter()
# Determine the number of pages in each PDF file
num_pages = max(pdf1_reader.numPages, pdf2_reader.numPages)
# Merge the pages from the two PDF files
for page_num in range(num_pages):
# Add the page from the first PDF file
if page_num < pdf1_reader.numPages:
page1 = pdf1_reader.getPage(page_num)
else:
page1 = PyPDF2.PageObject.createBlankPage(pdf1_reader)
# Add the page from the second PDF file
if page_num < pdf2_reader.numPages:
page2 = pdf2_reader.getPage(page_num)
else:
page2 = PyPDF2.PageObject.createBlankPage(pdf1_reader)
# Create a new empty page with double width
new_page = PyPDF2.PageObject.createBlankPage(
width=int(
int(page1.mediaBox.getWidth())
+ int(page2.mediaBox.getWidth()) * Percent
),
height=max(page1.mediaBox.getHeight(), page2.mediaBox.getHeight()),
)
new_page.mergeTranslatedPage(page1, 0, 0)
new_page.mergeTranslatedPage(
page2,
int(
int(page1.mediaBox.getWidth())
- int(page2.mediaBox.getWidth()) * (1 - Percent)
),
0,
)
output_writer.addPage(new_page)
# Save the merged PDF file
with open(output_path, "wb") as output_file:

1
docs/Dockerfile+JittorLLM 普通文件
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@@ -0,0 +1 @@
# 此Dockerfile不再维护,请前往docs/GithubAction+JittorLLMs

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@@ -0,0 +1,57 @@
# docker build -t gpt-academic-all-capacity -f docs/GithubAction+AllCapacity --network=host --build-arg http_proxy=http://localhost:10881 --build-arg https_proxy=http://localhost:10881 .
# docker build -t gpt-academic-all-capacity -f docs/GithubAction+AllCapacityBeta --network=host .
# docker run -it --net=host gpt-academic-all-capacity bash
# 从NVIDIA源,从而支持显卡检查宿主的nvidia-smi中的cuda版本必须>=11.3
FROM fuqingxu/11.3.1-runtime-ubuntu20.04-with-texlive:latest
# edge-tts需要的依赖,某些pip包所需的依赖
RUN apt update && apt install ffmpeg build-essential -y
# use python3 as the system default python
WORKDIR /gpt
RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.8
# # 非必要步骤,更换pip源 (以下三行,可以删除)
# RUN echo '[global]' > /etc/pip.conf && \
# echo 'index-url = https://mirrors.aliyun.com/pypi/simple/' >> /etc/pip.conf && \
# echo 'trusted-host = mirrors.aliyun.com' >> /etc/pip.conf
# 下载pytorch
RUN python3 -m pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu113
# 准备pip依赖
RUN python3 -m pip install openai numpy arxiv rich
RUN python3 -m pip install colorama Markdown pygments pymupdf
RUN python3 -m pip install python-docx moviepy pdfminer
RUN python3 -m pip install zh_langchain==0.2.1 pypinyin
RUN python3 -m pip install rarfile py7zr
RUN python3 -m pip install aliyun-python-sdk-core==2.13.3 pyOpenSSL webrtcvad scipy git+https://github.com/aliyun/alibabacloud-nls-python-sdk.git
# 下载分支
WORKDIR /gpt
RUN git clone --depth=1 https://github.com/binary-husky/gpt_academic.git
WORKDIR /gpt/gpt_academic
RUN git clone --depth=1 https://github.com/OpenLMLab/MOSS.git request_llms/moss
RUN python3 -m pip install -r requirements.txt
RUN python3 -m pip install -r request_llms/requirements_moss.txt
RUN python3 -m pip install -r request_llms/requirements_qwen.txt
RUN python3 -m pip install -r request_llms/requirements_chatglm.txt
RUN python3 -m pip install -r request_llms/requirements_newbing.txt
RUN python3 -m pip install nougat-ocr
# 预热Tiktoken模块
RUN python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()'
# 安装知识库插件的额外依赖
RUN apt-get update && apt-get install libgl1 -y
RUN pip3 install transformers protobuf langchain sentence-transformers faiss-cpu nltk beautifulsoup4 bitsandbytes tabulate icetk --upgrade
RUN pip3 install unstructured[all-docs] --upgrade
RUN python3 -c 'from check_proxy import warm_up_vectordb; warm_up_vectordb()'
RUN rm -rf /usr/local/lib/python3.8/dist-packages/tests
# COPY .cache /root/.cache
# COPY config_private.py config_private.py
# 启动
CMD ["python3", "-u", "main.py"]

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@@ -1,25 +0,0 @@
# 此Dockerfile适用于“无本地模型”的环境构建,如果需要使用chatglm等本地模型,请参考 docs/Dockerfile+ChatGLM
# - 1 修改 `config.py`
# - 2 构建 docker build -t gpt-academic-nolocal-latex -f docs/GithubAction+NoLocal+Latex .
# - 3 运行 docker run -v /home/fuqingxu/arxiv_cache:/root/arxiv_cache --rm -it --net=host gpt-academic-nolocal-latex
FROM menghuan1918/ubuntu_uv_ctex:latest
ENV DEBIAN_FRONTEND=noninteractive
SHELL ["/bin/bash", "-c"]
WORKDIR /gpt
COPY . .
RUN /root/.cargo/bin/uv venv --seed \
&& source .venv/bin/activate \
&& /root/.cargo/bin/uv pip install openai numpy arxiv rich colorama Markdown pygments pymupdf python-docx pdfminer \
&& /root/.cargo/bin/uv pip install -r requirements.txt \
&& /root/.cargo/bin/uv clean
# 对齐python3
RUN rm -f /usr/bin/python3 && ln -s /gpt/.venv/bin/python /usr/bin/python3
RUN rm -f /usr/bin/python && ln -s /gpt/.venv/bin/python /usr/bin/python
# 可选步骤,用于预热模块
RUN python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()'
# 启动
CMD ["python3", "-u", "main.py"]

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@@ -256,8 +256,6 @@ model_info = {
"max_token": 128000,
"tokenizer": tokenizer_gpt4,
"token_cnt": get_token_num_gpt4,
"openai_disable_system_prompt": True,
"openai_disable_stream": True,
},
"o1-mini": {
"fn_with_ui": chatgpt_ui,
@@ -266,8 +264,6 @@ model_info = {
"max_token": 128000,
"tokenizer": tokenizer_gpt4,
"token_cnt": get_token_num_gpt4,
"openai_disable_system_prompt": True,
"openai_disable_stream": True,
},
"gpt-4-turbo": {
@@ -1285,3 +1281,4 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot,
# 更新一下llm_kwargs的参数,否则会出现参数不匹配的问题
yield from method(inputs, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, stream, additional_fn)

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@@ -202,13 +202,10 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[],
if (time.time()-observe_window[1]) > watch_dog_patience:
raise RuntimeError("用户取消了程序。")
else: raise RuntimeError("意外Json结构"+delta)
finish_reason = json_data.get('finish_reason', None) if json_data else None
if finish_reason == 'content_filter':
raise RuntimeError("由于提问含不合规内容被过滤。")
if finish_reason == 'length':
if json_data and json_data['finish_reason'] == 'content_filter':
raise RuntimeError("由于提问含不合规内容被Azure过滤。")
if json_data and json_data['finish_reason'] == 'length':
raise ConnectionAbortedError("正常结束,但显示Token不足,导致输出不完整,请削减单次输入的文本量。")
return result
@@ -539,3 +536,4 @@ def generate_payload(inputs:str, llm_kwargs:dict, history:list, system_prompt:st
return headers,payload

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@@ -2,15 +2,14 @@ https://public.agent-matrix.com/publish/gradio-3.32.10-py3-none-any.whl
fastapi==0.110
gradio-client==0.8
pypdf2==2.12.1
httpx<=0.25.2
zhipuai==2.0.1
tiktoken>=0.3.3
requests[socks]
pydantic==2.9.2
pydantic==2.5.2
llama-index~=0.10
protobuf==3.20
transformers>=4.27.1,<4.42
scipdf_parser>=0.52
spacy==3.7.4
anthropic>=0.18.1
python-markdown-math
pymdown-extensions
@@ -33,14 +32,3 @@ loguru
arxiv
numpy
rich
llama-index-core==0.10.68
llama-index-legacy==0.9.48
llama-index-readers-file==0.1.33
llama-index-readers-llama-parse==0.1.6
llama-index-embeddings-azure-openai==0.1.10
llama-index-embeddings-openai==0.1.10
llama-parse==0.4.9
mdit-py-plugins>=0.3.3
linkify-it-py==2.0.3

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@@ -1,12 +0,0 @@
"""
对项目中的各个插件进行测试。运行方法:直接运行 python tests/test_plugins.py
"""
import init_test
import os, sys
if __name__ == "__main__":
from test_utils import plugin_test
plugin_test(plugin='crazy_functions.数学动画生成manim->动画生成', main_input="A point moving along function culve y=sin(x), starting from x=0 and stop at x=4*\pi.")

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@@ -1,5 +1,5 @@
{
"version": 3.90,
"version": 3.83,
"show_feature": true,
"new_feature": "增加RAG组件 <-> 升级多合一主提交键"
"new_feature": "增加欢迎页面 <-> 优化图像生成插件 <-> 添加紫东太初大模型支持 <-> 保留主题选择 <-> 支持更复杂的插件框架 <-> 上传文件时显示进度条"
}