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First upload to the repository of the CLIP Embeddings extractor.
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# Use an official Python runtime as the base image
FROM pytorch/pytorch:2.5.1-cuda12.4-cudnn9-runtime AS base
# It is necessary to install git to run the pip install -r requirements.txt
RUN apt-get update && apt-get install -y git
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH
# Set the working directory in the container
WORKDIR $HOME/app
# Copy the current directory contents into the container at /app
COPY --chown=user . $HOME/app
RUN pip install -r requirements.txt
FROM base AS debug
CMD ["python", "-m", "pdb", "search_engine_model.py"]
FROM base AS run
CMD ["python", "app.py"]