data_text_search / Dockerfile
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Fixed cleaning for semantic search. Handles text with backslashes in (if cleaned). Updated packages. requirements file for only keyword search added.
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# First stage: build dependencies
FROM public.ecr.aws/docker/library/python:3.11.9-slim-bookworm
# Install wget
RUN apt-get update && apt-get install -y wget
# Create a directory for the model
RUN mkdir /model
WORKDIR /src
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Gradio needs to be installed after due to conflict with spacy in requirements
RUN pip install --no-cache-dir gradio==4.31.0
# Download the BGE embedding model during the build process
RUN curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash
RUN apt-get install git-lfs -y
RUN git lfs install
RUN git clone https://huggingface.co/BAAI/bge-small-en-v1.5 /model/bge
RUN rm -rf /model/bge/.git
# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user
# Change ownership of /home/user directory
RUN chown -R user:user /home/user
# Create the output files directory and set its permissions
RUN mkdir -p /home/user/output && chown -R user:user /home/user/output
# Switch to the "user" user
USER user
# Set home to the user's home directory
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
PYTHONPATH=$HOME/app \
PYTHONUNBUFFERED=1 \
GRADIO_ALLOW_FLAGGING=never \
GRADIO_NUM_PORTS=1 \
GRADIO_SERVER_NAME=0.0.0.0 \
GRADIO_SERVER_PORT=7860 \
GRADIO_THEME=huggingface \
#GRADIO_ROOT_PATH=/data-text-search \
SYSTEM=spaces
# Set the working directory to the user's home directory
WORKDIR $HOME/app
# Copy the current directory contents into the container at $HOME/app setting the owner to the user
COPY --chown=user . $HOME/app
#COPY . $HOME/app
CMD ["python", "app.py"]