NeuralRootsAI / Dockerfile
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FROM python:3.9
RUN useradd -m -u 1000 user
USER user
ENV PATH="/home/user/.local/bin:$PATH"
WORKDIR /app
COPY --chown=user ./requirements.txt requirements.txt
RUN pip install --no-cache-dir --upgrade -r requirements.txt
COPY --chown=user . /app
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
# FROM python:3.9
# # Set environment variables
# ENV MODEL_NAME="meta-llama/Meta-Llama-3-8B-Instruct"
# ENV TRANSFORMERS_CACHE="/app/transformers_cache"
# ENV LC_ALL=C.UTF-8
# ENV LANG=C.UTF-8
# # Install additional dependencies if needed
# RUN pip install --no-cache-dir fastapi uvicorn
# # Create the app directory and set permissions
# RUN mkdir /app && chmod -R 777 /app
# # Set the working directory
# WORKDIR /app
# # Copy your model and code to the container
# COPY ./app.py /app
# COPY ./Dockerfile /app
# COPY ./requirements.txt /app
# # Expose the port FastAPI will run on
# EXPOSE 8000
# # Run FastAPI server
# CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]