File size: 1,119 Bytes
59e123e 102926c dca8957 d55a481 92ff09a b5c2272 d55a481 b5c2272 dca8957 d55a481 b5c2272 d55a481 9edd46d d55a481 4662e37 d55a481 4662e37 d55a481 9edd46d d55a481 | 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 | FROM python:3.9-slim-bookworm
WORKDIR /app
# Install git + LFS for data cloning
RUN apt-get update && apt-get install -y git git-lfs && git-lfs install && rm -rf /var/lib/apt/lists/*
# Clone data files from the space repo
RUN git clone https://huggingface.co/spaces/Finish-him/prometheus-embedding-generator ./dados && cd dados && git lfs pull
# Python deps
COPY requirements.txt .
RUN pip install --no-cache-dir --upgrade -r requirements.txt
# Cache dir for models
ENV HF_HOME=/app/cache/huggingface
ENV SENTENCE_TRANSFORMERS_HOME=/app/cache/torch
RUN mkdir -p $HF_HOME $SENTENCE_TRANSFORMERS_HOME
# Pre-download model
RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('intfloat/multilingual-e5-large', cache_folder='/app/cache/torch')"
# Create output dirs with proper permissions
RUN mkdir -p /app/dados_extraidos /app/output && \
chown -R 1000:1000 /app/dados_extraidos /app/output /app/cache
# Copy the actual app file (was train.py, now app.py)
COPY app.py .
ENV GRADIO_SERVER_NAME="0.0.0.0"
ENV GRADIO_SERVER_PORT="7860"
EXPOSE 7860
CMD ["python", "app.py"]
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