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# Use an NVIDIA PyTorch container with cuDNN 9.1 support | |
FROM nvidia/cuda:12.3.2-cudnn9-runtime-ubuntu22.04 | |
# Basic setup | |
ENV OMP_NUM_THREADS=1 | |
ENV DEBIAN_FRONTEND=noninteractive | |
RUN apt-get update && apt-get install -y \ | |
python3 python3-pip ffmpeg git libsndfile1 \ | |
# Development tools required to compile native extensions such as llama-cpp-python | |
build-essential cmake libopenblas-dev \ | |
&& rm -rf /var/lib/apt/lists/* | |
# Set up Python environment | |
COPY requirements.txt . | |
RUN pip install --upgrade pip && pip install -r requirements.txt | |
# Copy app files | |
COPY . /app | |
WORKDIR /app | |
CMD ["python3", "app.py"] | |