Triventure-AI / Dockerfile
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FROM python:3.11-slim
# Install git and git-lfs
RUN apt-get update && \
apt-get install -y git git-lfs && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
# Add a non-root user for better security
RUN useradd -m -u 1000 user
# Switch to non-root user
USER user
# Ensure pip, setuptools, and wheel are up to date
RUN python -m pip install --upgrade pip setuptools wheel
# Set PATH to include user installs
ENV PATH="/home/user/.local/bin:$PATH"
# Set the working directory inside the container
WORKDIR /app
# Copy requirements.txt file and install dependencies
COPY --chown=user ./requirements.txt /app/requirements.txt
# Install only necessary dependencies from the requirements.txt
RUN pip install --no-cache-dir -r /app/requirements.txt
# Create Saved_Model directory and download model from Hugging Face
RUN mkdir -p /app/model && \
mkdir -p /app/images && \
cd /app && \
git lfs install && \
git clone https://huggingface.co/spaces/dinhanit/triventure_model && \
cp -r triventure_model/model/* model/ && \
rm -rf triventure_model
# Create images directory and download images from Hugging Face
RUN cd /app && \
git clone https://huggingface.co/spaces/dinhanit/triventure_image && \
cp -r triventure_image/* images/ && \
rm -rf triventure_image
# Copy the rest of the application code to the working directory
COPY --chown=user . /app
# Expose the port that your app will run on
EXPOSE 7880
# Run the Python script when the container starts
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7880"]