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# Use an official Python runtime as a parent image | |
FROM python:3.10-slim-bullseye | |
# Set Python to use unbuffered mode | |
ENV PYTHONUNBUFFERED=1 | |
ENV PATH="/var/www/.local/bin:${PATH}" | |
# Create a non-root user | |
RUN useradd -m -u 1000 -U -s /bin/bash myuser | |
# Install system dependencies | |
RUN apt-get update && apt-get install -y --no-install-recommends \ | |
python3-pip python3-dev git && \ | |
rm -rf /var/lib/apt/lists/* | |
# Set the working directory in the container | |
RUN mkdir /var/www | |
ENV HOME=/var/www | |
WORKDIR /var/www | |
# Change ownership of /var/www to the non-root user | |
RUN chown -R myuser:myuser /var/www | |
# Switch to the non-root user | |
USER myuser | |
# Copy the current directory contents into the container at /var/www | |
COPY --chown=myuser:myuser . /var/www | |
# Install dependencies | |
RUN pip install --no-cache-dir -r requirements.txt && \ | |
pip install --no-cache-dir transformers sentencepiece | |
# Define tokenizer name | |
ARG TOKENIZER_NAME=unsloth/Llama-3.3-70B-Instruct | |
ENV TOKENIZER_NAME=${TOKENIZER_NAME} | |
ARG APP_PORT=7860 | |
ENV APP_PORT=${APP_PORT} | |
# Download the tokenizer and store it in the image | |
RUN python -c "from transformers import AutoTokenizer; \ | |
AutoTokenizer.from_pretrained('${TOKENIZER_NAME}')" | |
# Expose the port | |
EXPOSE ${APP_PORT} | |
# Run FastAPI app with Uvicorn | |
CMD ["sh", "-c", "uvicorn main:app --host 0.0.0.0 --port $APP_PORT"] | |