镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-07 06:56:48 +00:00
比较提交
4 次代码提交
frontier_1
...
frontier_2
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adbed044e4 | ||
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2fe5febaf0 | ||
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f54d8e559a |
51
.github/workflows/build-with-latex-arm.yml
vendored
普通文件
51
.github/workflows/build-with-latex-arm.yml
vendored
普通文件
@@ -0,0 +1,51 @@
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# https://docs.github.com/en/actions/publishing-packages/publishing-docker-images#publishing-images-to-github-packages
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name: build-with-latex-arm
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on:
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push:
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branches:
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- "master"
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env:
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REGISTRY: ghcr.io
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IMAGE_NAME: ${{ github.repository }}_with_latex_arm
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jobs:
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build-and-push-image:
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runs-on: ubuntu-latest
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permissions:
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contents: read
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packages: write
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steps:
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- name: Set up QEMU
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uses: docker/setup-qemu-action@v3
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Log in to the Container registry
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uses: docker/login-action@v3
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with:
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registry: ${{ env.REGISTRY }}
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Extract metadata (tags, labels) for Docker
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id: meta
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uses: docker/metadata-action@v4
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with:
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images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
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- name: Build and push Docker image
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uses: docker/build-push-action@v6
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with:
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context: .
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push: true
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platforms: linux/arm64
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file: docs/GithubAction+NoLocal+Latex
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}
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@@ -644,6 +644,213 @@ def run_in_subprocess(func):
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def _merge_pdfs(pdf1_path, pdf2_path, output_path):
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def _merge_pdfs(pdf1_path, pdf2_path, output_path):
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try:
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logger.info("Merging PDFs using _merge_pdfs_ng")
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_merge_pdfs_ng(pdf1_path, pdf2_path, output_path)
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except:
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logger.info("Merging PDFs using _merge_pdfs_legacy")
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_merge_pdfs_legacy(pdf1_path, pdf2_path, output_path)
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def _merge_pdfs_ng(pdf1_path, pdf2_path, output_path):
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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
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from PyPDF2.generic import NameObject, TextStringObject, ArrayObject, FloatObject, NumberObject
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Percent = 1
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# raise RuntimeError('PyPDF2 has a serious memory leak problem, please use other tools to merge PDF files.')
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# Open the first PDF file
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with open(pdf1_path, "rb") as pdf1_file:
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pdf1_reader = PyPDF2.PdfFileReader(pdf1_file)
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# Open the second PDF file
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with open(pdf2_path, "rb") as pdf2_file:
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pdf2_reader = PyPDF2.PdfFileReader(pdf2_file)
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# Create a new PDF file to store the merged pages
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output_writer = PyPDF2.PdfFileWriter()
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# Determine the number of pages in each PDF file
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num_pages = max(pdf1_reader.numPages, pdf2_reader.numPages)
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# Merge the pages from the two PDF files
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|
for page_num in range(num_pages):
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# Add the page from the first PDF file
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|
if page_num < pdf1_reader.numPages:
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|
page1 = pdf1_reader.getPage(page_num)
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|
else:
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page1 = PyPDF2.PageObject.createBlankPage(pdf1_reader)
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|
# Add the page from the second PDF file
|
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|
if page_num < pdf2_reader.numPages:
|
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|
page2 = pdf2_reader.getPage(page_num)
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|
else:
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|
page2 = PyPDF2.PageObject.createBlankPage(pdf1_reader)
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|
# Create a new empty page with double width
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|
new_page = PyPDF2.PageObject.createBlankPage(
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|
width=int(
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|
int(page1.mediaBox.getWidth())
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|
+ int(page2.mediaBox.getWidth()) * Percent
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|
),
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height=max(page1.mediaBox.getHeight(), page2.mediaBox.getHeight()),
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|
)
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new_page.mergeTranslatedPage(page1, 0, 0)
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new_page.mergeTranslatedPage(
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|
page2,
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|
int(
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|
int(page1.mediaBox.getWidth())
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|
- int(page2.mediaBox.getWidth()) * (1 - Percent)
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|
),
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0,
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|
)
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|
if "/Annots" in new_page:
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|
annotations = new_page["/Annots"]
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|
for i, annot in enumerate(annotations):
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|
annot_obj = annot.get_object()
|
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|
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|
# 检查注释类型是否是链接(/Link)
|
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|
if annot_obj.get("/Subtype") == "/Link":
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|
# 检查是否为内部链接跳转(/GoTo)或外部URI链接(/URI)
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|
action = annot_obj.get("/A")
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|
if action:
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|
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|
if "/S" in action and action["/S"] == "/GoTo":
|
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# 内部链接:跳转到文档中的某个页面
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dest = action.get("/D") # 目标页或目标位置
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|
# if dest and annot.idnum in page2_annot_id:
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|
if dest in pdf2_reader.named_destinations:
|
||||||
|
# 获取原始文件中跳转信息,包括跳转页面
|
||||||
|
destination = pdf2_reader.named_destinations[
|
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|
dest
|
||||||
|
]
|
||||||
|
page_number = (
|
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|
pdf2_reader.get_destination_page_number(
|
||||||
|
destination
|
||||||
|
)
|
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|
)
|
||||||
|
# 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":
|
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|
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
|
||||||
|
}
|
||||||
|
)
|
||||||
|
|
||||||
|
rect = annot_obj.get("/Rect")
|
||||||
|
# 更新点击坐标
|
||||||
|
rect = ArrayObject(
|
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|
[
|
||||||
|
FloatObject(
|
||||||
|
rect[0]
|
||||||
|
+ int(page1.mediaBox.getWidth())
|
||||||
|
),
|
||||||
|
rect[1],
|
||||||
|
FloatObject(
|
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|
rect[2]
|
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|
+ int(page1.mediaBox.getWidth())
|
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|
),
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rect[3],
|
||||||
|
]
|
||||||
|
)
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annot_obj.update(
|
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|
{
|
||||||
|
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:
|
||||||
|
|
||||||
|
# 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":
|
||||||
|
# 外部链接:跳转到某个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
|
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
|
Percent = 0.95
|
||||||
|
|||||||
@@ -3,33 +3,19 @@
|
|||||||
# - 2 构建 docker build -t gpt-academic-nolocal-latex -f docs/GithubAction+NoLocal+Latex .
|
# - 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
|
# - 3 运行 docker run -v /home/fuqingxu/arxiv_cache:/root/arxiv_cache --rm -it --net=host gpt-academic-nolocal-latex
|
||||||
|
|
||||||
FROM fuqingxu/python311_texlive_ctex:latest
|
FROM menghuan1918/ubuntu_uv_ctex:latest
|
||||||
ENV PATH "$PATH:/usr/local/texlive/2022/bin/x86_64-linux"
|
ENV DEBIAN_FRONTEND=noninteractive
|
||||||
ENV PATH "$PATH:/usr/local/texlive/2023/bin/x86_64-linux"
|
SHELL ["/bin/bash", "-c"]
|
||||||
ENV PATH "$PATH:/usr/local/texlive/2024/bin/x86_64-linux"
|
|
||||||
ENV PATH "$PATH:/usr/local/texlive/2025/bin/x86_64-linux"
|
|
||||||
ENV PATH "$PATH:/usr/local/texlive/2026/bin/x86_64-linux"
|
|
||||||
|
|
||||||
# 指定路径
|
|
||||||
WORKDIR /gpt
|
WORKDIR /gpt
|
||||||
|
|
||||||
RUN pip3 install openai numpy arxiv rich
|
|
||||||
RUN pip3 install colorama Markdown pygments pymupdf
|
|
||||||
RUN pip3 install python-docx pdfminer
|
|
||||||
RUN pip3 install nougat-ocr
|
|
||||||
|
|
||||||
# 装载项目文件
|
|
||||||
COPY . .
|
COPY . .
|
||||||
|
RUN /root/.cargo/bin/uv venv --seed \
|
||||||
|
&& source .venv/bin/activate \
|
||||||
# 安装依赖
|
&& /root/.cargo/bin/uv pip install openai numpy arxiv rich colorama Markdown pygments pymupdf python-docx pdfminer \
|
||||||
RUN pip3 install -r requirements.txt
|
&& /root/.cargo/bin/uv pip install -r requirements.txt \
|
||||||
|
&& /root/.cargo/bin/uv clean
|
||||||
# edge-tts需要的依赖
|
|
||||||
RUN apt update && apt install ffmpeg -y
|
|
||||||
|
|
||||||
# 可选步骤,用于预热模块
|
# 可选步骤,用于预热模块
|
||||||
RUN python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()'
|
RUN .venv/bin/python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()'
|
||||||
|
|
||||||
# 启动
|
# 启动
|
||||||
CMD ["python3", "-u", "main.py"]
|
CMD [".venv/bin/python3", "-u", "main.py"]
|
||||||
|
|||||||
@@ -256,6 +256,8 @@ model_info = {
|
|||||||
"max_token": 128000,
|
"max_token": 128000,
|
||||||
"tokenizer": tokenizer_gpt4,
|
"tokenizer": tokenizer_gpt4,
|
||||||
"token_cnt": get_token_num_gpt4,
|
"token_cnt": get_token_num_gpt4,
|
||||||
|
"openai_disable_system_prompt": True,
|
||||||
|
"openai_disable_stream": True,
|
||||||
},
|
},
|
||||||
"o1-mini": {
|
"o1-mini": {
|
||||||
"fn_with_ui": chatgpt_ui,
|
"fn_with_ui": chatgpt_ui,
|
||||||
@@ -264,6 +266,8 @@ model_info = {
|
|||||||
"max_token": 128000,
|
"max_token": 128000,
|
||||||
"tokenizer": tokenizer_gpt4,
|
"tokenizer": tokenizer_gpt4,
|
||||||
"token_cnt": get_token_num_gpt4,
|
"token_cnt": get_token_num_gpt4,
|
||||||
|
"openai_disable_system_prompt": True,
|
||||||
|
"openai_disable_stream": True,
|
||||||
},
|
},
|
||||||
|
|
||||||
"gpt-4-turbo": {
|
"gpt-4-turbo": {
|
||||||
|
|||||||
在新工单中引用
屏蔽一个用户