taprosoft
commited on
Commit
·
007293f
1
Parent(s):
1ae7633
fix: use ZERO
Browse files- Dockerfile +0 -42
- README.md +4 -1
- app.py +7 -0
- backends/smoldocling.py +2 -0
- requirements.txt +2 -1
Dockerfile
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@@ -1,42 +0,0 @@
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FROM nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04
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ARG DEBIAN_FRONTEND=noninteractive
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ENV PYTHONUNBUFFERED=1
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RUN apt-get update && apt-get install --no-install-recommends -y \
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build-essential \
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python3.10-dev \
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python3-pip \
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wget \
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git \
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ffmpeg \
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poppler-utils \
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libpoppler-dev \
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tesseract-ocr \
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&& apt-get clean && rm -rf /var/lib/apt/lists/*
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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# Set up a new user named "user" with user ID 1000
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RUN useradd -m -u 1000 user
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# Switch to the "user" user
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USER user
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# Set home to the user's home directory
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH \
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PYTHONPATH=$HOME/app \
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PYTHONUNBUFFERED=1 \
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GRADIO_SERVER_NAME=0.0.0.0
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RUN pip3 install --no-cache-dir --upgrade -r /code/requirements.txt
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# Set the working directory to the user's home directory
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WORKDIR $HOME/app
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# Copy the current directory contents into the container at $HOME/app setting the owner to the user
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COPY --chown=user . $HOME/app
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CMD ["python3", "app.py"]
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README.md
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@@ -3,7 +3,10 @@ title: SmolDoclingPreview
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emoji: 🐢
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colorFrom: blue
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colorTo: green
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sdk:
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pinned: false
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header: mini
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short_description: Convert PDFs to Markdown with SmolDoclingPreview
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emoji: 🐢
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colorFrom: blue
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colorTo: green
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sdk: gradio
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sdk_version: 5.12.0
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app_file: app.py
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license: apache-2.0
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pinned: false
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header: mini
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short_description: Convert PDFs to Markdown with SmolDoclingPreview
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app.py
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@@ -26,6 +26,13 @@ MAX_SELECTED_METHODS = int(os.getenv("MAX_SELECTED_METHODS", "6"))
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MAX_PAGES = int(os.getenv("MAX_PAGES", "2"))
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def convert_document(path, method, start_page=0, enabled=True):
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if enabled:
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print("Processing file", path, "with method", method)
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MAX_PAGES = int(os.getenv("MAX_PAGES", "2"))
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# Install poppler-utils
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import os
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os.system("apt-get update")
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os.system("apt-get install --no-install-recommends -y poppler-utils tesseract-ocr")
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def convert_document(path, method, start_page=0, enabled=True):
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if enabled:
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print("Processing file", path, "with method", method)
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backends/smoldocling.py
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# pip install docling_core
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# pip install transformers
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import torch
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from docling_core.types.doc import DoclingDocument
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from docling_core.types.doc.document import DocTagsDocument
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]
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def convert_smoldocling(path: str, file_name: str):
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doc = PDF(path)
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output_md = ""
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# pip install docling_core
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# pip install transformers
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import spaces
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import torch
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from docling_core.types.doc import DoclingDocument
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from docling_core.types.doc.document import DocTagsDocument
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]
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@spaces.GPU(duration=120)
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def convert_smoldocling(path: str, file_name: str):
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doc = PDF(path)
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output_md = ""
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requirements.txt
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@@ -2,7 +2,6 @@ gradio-pdf>=0.0.21
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PyMuPDF>=1.24.9,<1.24.14
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pymupdf4llm
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unstructured[pdf]
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ultralytics>=8.3.48
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openai
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img2table
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gmft
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pypdf
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docling_core
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opencv-contrib-python
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PyMuPDF>=1.24.9,<1.24.14
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pymupdf4llm
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unstructured[pdf]
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openai
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img2table
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gmft
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pypdf
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docling_core
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opencv-contrib-python
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huggingface_hub
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spaces
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