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| FROM nvidia/cuda:12.1.0-cudnn8-devel-ubuntu20.04 | |
| LABEL maintainer="Hugging Face" | |
| ARG DEBIAN_FRONTEND=noninteractive | |
| RUN apt update | |
| RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg | |
| RUN python3 -m pip install --no-cache-dir --upgrade pip | |
| # RUN apt-get install -y git libsndfile1-dev tesseract-ocr espeak-ng ffmpeg | |
| # Prevents Python from writing pyc files. | |
| ENV PYTHONDONTWRITEBYTECODE=1 | |
| # Open MP threads. It may need to change in production env. | |
| ENV OMP_NUM_THREADS=1 | |
| # Keeps Python from buffering stdout and stderr to avoid situations where | |
| # the application crashes without emitting any logs due to buffering. | |
| ENV PYTHONUNBUFFERED=1 | |
| # ENV HF_HUB_CACHE="/hub" | |
| WORKDIR /app | |
| # Create a non-privileged user that the app will run under. | |
| # See https://docs.docker.com/go/dockerfile-user-best-practices/ | |
| RUN useradd -m -u 1000 user | |
| # Download dependencies as a separate step to take advantage of Docker's caching. | |
| # Leverage a cache mount to /root/.cache/pip to speed up subsequent builds. | |
| # Leverage a bind mount to requirements.txt to avoid having to copy them into | |
| # into this layer. | |
| RUN --mount=type=cache,target=/root/.cache/pip \ | |
| --mount=type=bind,source=requirements.txt,target=requirements.txt \ | |
| python3 -m pip install -r requirements.txt | |
| # Switch to the non-privileged user to run the application. | |
| USER user | |
| # Copy the source code into the container. | |
| COPY . . | |
| # Expose the port that the application listens on. | |
| EXPOSE 8088 | |
| # Run the application. | |
| CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"] | |